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Hak Chul Jang  (Jang HC) 23 Articles
Drug/Regimen
Article image
Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus
Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang
Diabetes Metab J. 2024;48(5):929-936.   Published online February 27, 2024
DOI: https://doi.org/10.4093/dmj.2023.0297
  • 2,786 View
  • 226 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigated the real-world efficacy and safety of insulin degludec/insulin aspart (IDegAsp) in Korean adults with type 2 diabetes mellitus (T2DM), whose insulin treatment was switched to IDegAsp.
Methods
This was a multicenter, retrospective, observational study comprising two 26-week treatment periods, before and after switching to IDegAsp, respectively. Korean adults with uncontrolled T2DM treated with basal or premix insulin (±oral antidiabetic drugs) were enrolled. The primary objective was to compare the degree of glycosylated hemoglobin (HbA1c) change in each 26-week observation period. The analyses included changes in HbA1c, fasting plasma glucose (FPG), body weight, proportion of participants achieving HbA1c <7.0%, hypoglycemic events, and total daily insulin dose (ClinicalTrials.gov, number NCT04656106).
Results
In total, 196 adults (mean age, 65.95 years; mean T2DM duration, 18.99 years) were analyzed. The change in both HbA1c and FPG were significantly different between the pre-switching and the post-switching period (0.28% vs. –0.51%, P<0.001; 5.21 mg/dL vs. –23.10 mg/dL, P=0.005), respectively. After switching, the rate of achieving HbA1c <7.0% was significantly improved (5.10% at baseline vs. 11.22% with IDegAsp, P=0.012). No significant differences (before vs. after switching) were observed in body weight change, and total daily insulin dose. The rates of overall and severe hypoglycemia were similar in the two periods.
Conclusion
In real-world clinical practice in Korea, the change of insulin regimen to IDegAsp was associated with an improvement in glycemic control without increase of hypoglycemia, supporting the use of IDegAsp for patients with T2DM uncontrolled with basal or premix insulin.

Citations

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  • Switching from Premixed Insulin to Insulin Degludec/Insulin Aspart for the Management of Type 2 Diabetes Mellitus: Implications of a Real-World Study on Insulin Degludec Dosing
    Yiming Wu, Junqing Zhang, Ang Li
    Diabetes Therapy.2024; 15(12): 2515.     CrossRef
Metabolic Risk/Epidemiology
Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2022;46(6):890-900.   Published online April 28, 2022
DOI: https://doi.org/10.4093/dmj.2021.0334
  • 6,159 View
  • 245 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated whether postpartum muscle mass affects the risk of type 2 diabetes mellitus (T2DM) in Korean women with gestational diabetes mellitus (GDM).
Methods
A total of 305 women with GDM (mean age, 34.9 years) was prospectively evaluated for incident prediabetes and T2DM from 2 months after delivery and annually thereafter. Appendicular skeletal muscle mass (ASM) was assessed with bioelectrical impedance analysis at the initial postpartum visit, and ASM, either divided by body mass index (BMI) or squared height, and the absolute ASM were used as muscle mass indices. The risk of incident prediabetes and T2DM was assessed according to tertiles of these indices using a logistic regression model.
Results
After a mean follow-up duration of 3.3 years, the highest ASM/BMI tertile group had a 61% lower risk of incident prediabetes and T2DM compared to the lowest tertile group, and this remained significant after we adjusted for covariates (adjusted odds ratio, 0.37; 95% confidence interval [CI], 0.15 to 0.92; P=0.032). Equivalent findings were observed in normal weight women (BMI <23 kg/m2), but this association was not significant for overweight women (BMI ≥23 kg/m2). Absolute ASM or ASM/height2 was not associated with the risk of postpartum T2DM.
Conclusion
A higher muscle mass, as defined by the ASM/BMI index, was associated with a lower risk of postpartum prediabetes and T2DM in Korean women with GDM.

Citations

Citations to this article as recorded by  
  • Low muscle mass index is associated with type 2 diabetes risk in a Latin-American population: a cross-sectional study
    Rosario Suárez, Celina Andrade, Estefania Bautista-Valarezo, Yoredy Sarmiento-Andrade, Andri Matos, Oliver Jimenez, Martha Montalvan, Sebastián Chapela
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • More appendicular lean mass relative to body mass index is associated with lower incident diabetes in middle-aged adults in the CARDIA study
    Melanie S. Haines, Aaron Leong, Bianca C. Porneala, Victor W. Zhong, Cora E. Lewis, Pamela J. Schreiner, Karen K. Miller, James B. Meigs, Mercedes R. Carnethon
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105.     CrossRef
  • The Association of the Triglyceride and Muscle to Fat Ratio During Early Pregnancy with the Development of Gestational Diabetes Mellitus
    Fang Wang, Yuan-Yuan Bao, Kang Yu
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 3187.     CrossRef
  • Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy
    Li Xintong, Xu Dongmei, Zhang Li, Cao Ruimin, Hao Yide, Cui Lingling, Chen Tingting, Guo Yingying, Li Jiaxin
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
Technology/Device
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Glucose Profiles Assessed by Intermittently Scanned Continuous Glucose Monitoring System during the Perioperative Period of Metabolic Surgery
Kyuho Kim, Sung Hee Choi, Hak Chul Jang, Young Suk Park, Tae Jung Oh
Diabetes Metab J. 2022;46(5):713-721.   Published online January 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0164
  • 6,549 View
  • 358 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Continuous glucose monitoring (CGM) has been widely used in the management of diabetes. However, the usefulness and detailed data during perioperative status were not well studied. In this study, we described the immediate changes of glucose profiles after metabolic surgery using intermittently scanned CGM (isCGM) in individuals with type 2 diabetes mellitus (T2DM).
Methods
This was a prospective, single-center, single-arm study including 20 participants with T2DM. The isCGM (FreeStyle Libre CGM) implantation was performed within 2 weeks before surgery. We compared CGM metrics of 3 days before surgery and 3 days after surgery, and performed the correlation analyses with clinical variables.
Results
The mean glucose significantly decreased after surgery (147.0±40.4 to 95.5±17.1 mg/dL, P<0.001). Time in range (TIR; 70 to 180 mg/dL) did not significantly change after surgery in total. However, it was significantly increased in a subgroup of individuals with glycosylated hemoglobin (HbA1c) ≥8.0%. Time above range (>250 or 180 mg/dL) was significantly decreased in total. In contrast, time below range (<70 or 54 mg/dL) was significantly increased in total and especially in a subgroup of individuals with HbA1c <8.0% after surgery. The coefficient of variation significantly decreased after surgery. Higher baseline HbA1c was correlated with greater improvement in TIR (rho=0.607, P=0.005).
Conclusion
The isCGM identified improvement of mean glucose and glycemic variability, and increase of hypoglycemia after metabolic surgery, but TIR was not significantly changed after surgery. We detected an increase of TIR only in individuals with HbA1c ≥8.0%.

Citations

Citations to this article as recorded by  
  • Continuous peri-operative glucose monitoring in noncardiac surgery
    Alessandro Putzu, Elliot Grange, Raoul Schorer, Eduardo Schiffer, Karim Gariani
    European Journal of Anaesthesiology.2025; 42(2): 162.     CrossRef
  • Comparative Effect of Glucose-Lowering Drugs for Type 2 Diabetes Mellitus on Stroke Prevention: A Systematic Review and Network Meta-Analysis
    Ji Soo Kim, Gyeongsil Lee, Kyung-Il Park, Seung-Won Oh
    Diabetes & Metabolism Journal.2024; 48(2): 312.     CrossRef
  • Continuous Glucose Monitoring Captures Glycemic Variability After Roux-en-Y Gastric Bypass in Patients with and Without Type 2 Diabetes Mellitus: A Prospective Cohort Study
    Raquel do A. P. Quevedo, Maria Edna de Melo, Cintia Cercato, Ariana E. Fernandes, Anna Carolina B. Dantas, Marco Aurélio Santo, Denis Pajecki, Marcio C. Mancini
    Obesity Surgery.2024; 34(8): 2789.     CrossRef
  • Perioperative Management of Adult Patients with Diabetes Wearing Devices: A Society for Perioperative Assessment and Quality Improvement (SPAQI) Expert Consensus Statement
    Adriana D. Oprea, Smita K. Kalra, Elizabeth W. Duggan, Linda L. Russell, Richard D. Urman, Basem B. Abdelmalak, Preethi Patel, Kurt J. Pfeifer, Paul J. Grant, Marina M. Charitou, Carlos E. Mendez, Jennifer L. Sherr, Guillermo E. Umpierrez, David C. Klonof
    Journal of Clinical Anesthesia.2024; 99: 111627.     CrossRef
  • Consensus Considerations and Good Practice Points for Use of Continuous Glucose Monitoring Systems in Hospital Settings
    Julie L.V. Shaw, Raveendhara R. Bannuru, Lori Beach, Nuha A. ElSayed, Guido Freckmann, Anna K. Füzéry, Angela W.S. Fung, Jeremy Gilbert, Yun Huang, Nichole Korpi-Steiner, Samantha Logan, Rebecca Longo, Dylan MacKay, Lisa Maks, Stefan Pleus, Kendall Rogers
    Diabetes Care.2024; 47(12): 2062.     CrossRef
  • Use of Continuous Glucose Monitoring in Patients Following Bariatric Surgery: A Scoping Review
    Yang Yu, Susan W. Groth
    Obesity Surgery.2023; 33(8): 2573.     CrossRef
  • Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring
    Sang-Man Jin
    Diabetes & Metabolism Journal.2022; 46(5): 675.     CrossRef
Complications
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SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
Tae Jung Oh, Yoojung Song, Hak Chul Jang, Sung Hee Choi
Diabetes Metab J. 2022;46(2):319-326.   Published online September 16, 2021
DOI: https://doi.org/10.4093/dmj.2021.0014
  • 7,603 View
  • 375 Download
  • 15 Web of Science
  • 16 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice.
Methods
We analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test.
Results
Confirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model.
Conclusion
The screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.

Citations

Citations to this article as recorded by  
  • Association of sudomotor dysfunction with risk of diabetic retinopathy in patients with type 2 diabetes
    Ming Wang, Niuniu Chen, Yaxin Wang, Jiaying Ni, Jingyi Lu, Weijing Zhao, Yating Cui, Ronghui Du, Wei Zhu, Jian Zhou
    Endocrine.2024; 84(3): 951.     CrossRef
  • Vitamin D deficiency increases the risk of diabetic peripheral neuropathy in elderly type 2 diabetes mellitus patients by predominantly increasing large-fiber lesions
    Sijia Fei, Jingwen Fan, Jiaming Cao, Huan Chen, Xiaoxia Wang, Qi Pan
    Diabetes Research and Clinical Practice.2024; 209: 111585.     CrossRef
  • Early detection of diabetic neuropathy based on health belief model: a scoping review
    Okti Sri Purwanti, Nursalam Nursalam, Moses Glorino Rumambo Pandin
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Whether coagulation dysfunction influences the onset and progression of diabetic peripheral neuropathy: A multicenter study in middle‐aged and aged patients with type 2 diabetes
    Jiali Xie, Xinyue Yu, Luowei Chen, Yifan Cheng, Kezheng Li, Mengwan Song, Yinuo Chen, Fei Feng, Yunlei Cai, Shuting Tong, Yuqin Qian, Yiting Xu, Haiqin Zhang, Junjie Yang, Zirui Xu, Can Cui, Huan Yu, Binbin Deng
    CNS Neuroscience & Therapeutics.2024;[Epub]     CrossRef
  • From Sudoscan to bedside: theory, modalities, and application of electrochemical skin conductance in medical diagnostics
    Benjamin Vittrant, Hanna Ayoub, Philippe Brunswick
    Frontiers in Neuroanatomy.2024;[Epub]     CrossRef
  • Diagnostic Accuracy of Screening Tests for Diabetic Peripheral Neuropathy: An Umbrella Review
    María Mogilevskaya, Mariana Gaviria-Carrillo, John Edwin Feliciano-Alfonso, Ana M. Barragan, Carlos A. Calderon-Ospina, Mauricio O. Nava-Mesa, Syed Anees Ahmed
    Journal of Diabetes Research.2024;[Epub]     CrossRef
  • Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options
    Raffaele Galiero, Alfredo Caturano, Erica Vetrano, Domenico Beccia, Chiara Brin, Maria Alfano, Jessica Di Salvo, Raffaella Epifani, Alessia Piacevole, Giuseppina Tagliaferri, Maria Rocco, Ilaria Iadicicco, Giovanni Docimo, Luca Rinaldi, Celestino Sardu, T
    International Journal of Molecular Sciences.2023; 24(4): 3554.     CrossRef
  • Screening for diabetic peripheral neuropathy in resource-limited settings
    Ken Munene Nkonge, Dennis Karani Nkonge, Teresa Njeri Nkonge
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • The value of electrochemical skin conductance measurement by Sudoscan® for assessing autonomic dysfunction in peripheral neuropathies beyond diabetes
    Jean-Pascal Lefaucheur
    Neurophysiologie Clinique.2023; 53(2): 102859.     CrossRef
  • Electrochemical skin conductances values and clinical factors affecting sudomotor dysfunction in patients with prediabetes, type 1 diabetes, and type 2 diabetes: A single center experience
    Bedia Fulya Calikoglu, Selda Celik, Cemile Idiz, Elif Bagdemir, Halim Issever, Jean-Henri Calvet, Ilhan Satman
    Primary Care Diabetes.2023; 17(5): 499.     CrossRef
  • Autonomic Nerve Function Tests in Patients with Diabetes
    Heung Yong Jin, Tae Sun Park
    The Journal of Korean Diabetes.2023; 24(2): 71.     CrossRef
  • Validation of the Body Scan®, a new device to detect small fiber neuropathy by assessment of the sudomotor function: agreement with the Sudoscan®
    Jean-Pierre Riveline, Roberto Mallone, Clarisse Tiercelin, Fetta Yaker, Laure Alexandre-Heymann, Lysa Khelifaoui, Florence Travert, Claire Fertichon, Jean-Baptiste Julla, Tiphaine Vidal-Trecan, Louis Potier, Jean-Francois Gautier, Etienne Larger, Jean-Pas
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • Electrochemical Skin Conductance by Sudoscan in Non-Dialysis Chronic Kidney Disease Patients
    Liang-Te Chiu, Yu-Li Lin, Chih-Hsien Wang, Chii-Min Hwu, Hung-Hsiang Liou, Bang-Gee Hsu
    Journal of Clinical Medicine.2023; 13(1): 187.     CrossRef
  • The Presence of Clonal Hematopoiesis Is Negatively Associated with Diabetic Peripheral Neuropathy in Type 2 Diabetes
    Tae Jung Oh, Han Song, Youngil Koh, Sung Hee Choi
    Endocrinology and Metabolism.2022; 37(2): 243.     CrossRef
  • Case report: Significant relief of linezolid-induced peripheral neuropathy in a pre-XDR-TB case after acupuncture treatment
    Yuping Mo, Zhu Zhu, Jie Tan, Zhilin Liang, Jiahui Wu, Xingcheng Chen, Ming Hu, Peize Zhang, Guofang Deng, Liang Fu
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes
    Ana Cristina García-Ulloa, Paloma Almeda-Valdes, Teresa Enedina Cuatecontzi-Xochitiotzi, Jorge Alberto Ramírez-García, Michelle Díaz-Pineda, Fernanda Garnica-Carrillo, Alejandra González-Duarte, K M Venkat Narayan, Carlos Alberto Aguilar-Salinas, Sergio H
    BMJ Open Diabetes Research & Care.2022; 10(6): e003005.     CrossRef
Metabolic Risk/Epidemiology
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Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
Joon Ho Moon, Hak Chul Jang
Diabetes Metab J. 2022;46(1):3-14.   Published online January 27, 2022
DOI: https://doi.org/10.4093/dmj.2021.0335
  • 23,237 View
  • 1,235 Download
  • 125 Web of Science
  • 133 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Gestational diabetes mellitus (GDM) is the most common complication during pregnancy and is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. GDM is associated with adverse pregnancy outcomes and long-term offspring and maternal complications. For GDM screening and diagnosis, a two-step approach (1-hour 50 g glucose challenge test followed by 3-hour 100 g oral glucose tolerance test) has been widely used. After the Hyperglycemia and Adverse Pregnancy Outcome study implemented a 75 g oral glucose tolerance test in all pregnant women, a one-step approach was recommended as an option for the diagnosis of GDM after 2010. The one-step approach has more than doubled the incidence of GDM, but its clinical benefit in reducing adverse pregnancy outcomes remains controversial. Long-term complications of mothers with GDM include type 2 diabetes mellitus and cardiovascular disease, and complications of their offspring include childhood obesity and glucose intolerance. The diagnostic criteria of GDM should properly classify women at risk for adverse pregnancy outcomes and long-term complications. The present review summarizes the strengths and weaknesses of the one-step and two-step approaches for the diagnosis of GDM based on recent randomized controlled trials and observational studies. We also describe the long-term maternal and offspring complications of GDM.

Citations

Citations to this article as recorded by  
  • Quality of Life in Women With Gestational Diabetes Mellitus and Treatment Satisfaction Upon Intermittently Scanned Continuous Glucose Monitoring
    Sookyung Won, Hyeon Ji Kim, Jee Yoon Park, Kyung Joon Oh, Sung Hee Choi, Hak Chul Jang, Joon Ho Moon
    Journal of Korean Medical Science.2025;[Epub]     CrossRef
  • Gestational diabetes mellitus-derived miR-7-19488 targets PIK3R2 mRNA to stimulate the abnormal development and maturation of offspring-islets
    Chunxue Xu, Linhai Zou, Li Wang, Wenshan Lv, Xiangju Cao, Xinyu Jia, Yuan Wang, Guohui Jiang, Lixia Ji
    Life Sciences.2025; 363: 123369.     CrossRef
  • How Do Maternal Gestational Diabetes and Other Concomitant Maternal Factors Determine the Perinatal Outcomes of Pregnancy?—A Retrospective Analysis
    Karolina Karcz, Barbara Królak-Olejnik
    Nutrients.2025; 17(1): 177.     CrossRef
  • Blood Cells Parameters in Second Trimester of Pregnancy and Gestational Diabetes Mellitus: A Systematic Review and Meta‐Analysis
    Vida Ghasemi, Mojdeh Banaei, Zahra Kiani, Fahimeh Ramezani Tehrani, Marzieh Saei Ghare Naz
    Endocrinology, Diabetes & Metabolism.2025;[Epub]     CrossRef
  • Gut Microbiome-Derived Metabolites and Their Impact on Gene Regulatory Networks in Gestational Diabetes
    Sarvesh Sabarathinam, Akash Jayaraman, Ramesh Venkatachalapathy
    The Journal of Steroid Biochemistry and Molecular Biology.2025; : 106674.     CrossRef
  • Advanced maternal age is a risk factor for both early and late gestational diabetes mellitus: The Japan Environment and Children's Study
    Kazuma Tagami, Noriyuki Iwama, Hirotaka Hamada, Hasumi Tomita, Rie Kudo, Natsumi Kumagai, Hongxin Wang, Seiya Izumi, Zen Watanabe, Mami Ishikuro, Taku Obara, Hirohito Metoki, Yuichiro Miura, Chiharu Ota, Takashi Sugiyama, Shinichi Kuriyama, Takahiro Arima
    Journal of Diabetes Investigation.2025;[Epub]     CrossRef
  • Prophylactic administration of metformin reduces gestational diabetes mellitus incidence in the high-risk populations: a meta-analysis
    Hui Yu, Jinling Sun, Honglei Hu
    Irish Journal of Medical Science (1971 -).2024; 193(1): 199.     CrossRef
  • Association of dietary inflammatory index with risk of gestational diabetes mellitus and preeclampsia: a systematic review and meta-analysis
    Li Hong, Liyuan Zhu, Jinru Zhang, Yueqi Fu, Xiaoyan Qi, Mei Zhao
    British Journal of Nutrition.2024; 131(1): 54.     CrossRef
  • Ferritin and iron supplements in gestational diabetes mellitus: less or more?
    Tianlian Li, Jingfan Zhang, Ping Li
    European Journal of Nutrition.2024; 63(1): 67.     CrossRef
  • Comparing the screening methods for gestational diabetes mellitus before and during the COVID‐19 pandemic: A systematic review
    Xingge Sun, Clare McKeaveney, Helen Noble, Hannah O’Hara, Oliver Perra
    Journal of Diabetes Investigation.2024; 15(4): 500.     CrossRef
  • Protective Effects of Paeoniflorin Against Inflammation and Oxidative Stress in Rats with Gestational Diabetes Mellitus via Inhibiting the RhoA/ROCK Signaling Pathway
    Cheng kun Yuan, Yan Gao, Jinglu Yu, Limin Peng
    Revista Brasileira de Farmacognosia.2024; 34(3): 536.     CrossRef
  • METTL14‐mediated lncRNA XIST silencing alleviates GDM progression by facilitating trophoblast cell proliferation and migration via the miR‐497‐5p/FOXO1 axis
    Yanchuan Li, Yanfeng Liu, Xiao Yao, Haili Wang, Ziyun Shi, Meiqing He
    Journal of Biochemical and Molecular Toxicology.2024;[Epub]     CrossRef
  • Evaluation of insulin secretion and insulin sensitivity in pregnant women: Application value of simple indices
    Shuying Ren, Dan Wu, Ping Li
    Clinica Chimica Acta.2024; 554: 117753.     CrossRef
  • ATP5me alleviates high glucose-induced myocardial cell injury
    Qingsha Hou, Fang Yan, Xiuling Li, Huanling Liu, Xiang Yang, Xudong Dong
    International Immunopharmacology.2024; 129: 111626.     CrossRef
  • Aberrant NK cell profile in gestational diabetes mellitus with fetal growth restriction
    Yujing Xiong, Yazhen Wang, Mengqi Wu, Shuqiang Chen, Hui Lei, Hui Mu, Haikun Yu, Yongli Hou, Kang Tang, Xutao Chen, Jie Dong, Xiaohong Wang, Lihua Chen
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Maternal Diabetes and Risk of Hypospadias: A Systemic Review and Meta-Analysis
    Zhiyuan Liu, Chengjun Yu, Shuhan Yang, Jin Luo, Jie Zhang, Xiao Wang, Chun Wei, Qinlin Shi, Yi Hua, Xing Liu, Guanghui Wei
    Urologia Internationalis.2024; 108(2): 108.     CrossRef
  • Maternal birth weight as an indicator of early and late gestational diabetes mellitus: The Japan Environment and Children's Study
    Kazuma Tagami, Noriyuki Iwama, Hirotaka Hamada, Hasumi Tomita, Rie Kudo, Natsumi Kumagai, Hongxin Wang, Seiya Izumi, Zen Watanabe, Mami Ishikuro, Taku Obara, Nozomi Tatsuta, Hirohito Metoki, Chiharu Ota, Takashi Sugiyama, Shinichi Kuriyama, Takahiro Arima
    Journal of Diabetes Investigation.2024; 15(6): 751.     CrossRef
  • Perinatal characteristics and pregnancy outcomes of advanced maternal age women with gestational diabetes mellitus: A retrospective cohort study
    Chen Jiang, Haiyan Wen, Tingting Hu, Yanfei Liu, Xiaoqing Dai, Yiming Chen
    Health Science Reports.2024;[Epub]     CrossRef
  • Phenotypic characterisation of regulatory T cells in patients with gestational diabetes mellitus
    Ya-nan Zhang, Qin Wu, Yi-hui Deng
    Scientific Reports.2024;[Epub]     CrossRef
  • Healthy behaviors and gestational diabetes mellitus in an Iranian setting: A cross-sectional study
    Maryam Zare, Afrouz Mardi, Paria Yeghanenia, Daniel Hackett
    Medicine.2024; 103(9): e36431.     CrossRef
  • Post‐load glucose is a stronger predictor of adverse pregnancy outcomes than first‐trimester HbA1c in women without gestational diabetes
    Shahin Keshtkar Rajabi, Elham Toghraee, Golnoosh Nejatipour
    Journal of Diabetes Investigation.2024; 15(7): 914.     CrossRef
  • Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study
    Yufeng Guo, Junwen Lu, Mailiman Bahani, Guifeng Ding, Lei Wang, Yuxia Zhang, Huanmei Zhang, Chengyao Liu, Lijun Zhou, Xiaolan Liu, Fangshen Li, Xiaoli Wang, Hong Ding
    Lipids in Health and Disease.2024;[Epub]     CrossRef
  • A study on behavior, diet patterns and physical activity among selected GDM and non-GDM women in south India
    S Sindhu, S Uma Mageshwari
    Journal of Diabetology.2024; 15(1): 86.     CrossRef
  • The Implication of Diabetes-Specialized Nurses in Aiming for the Better Treatment and Management of Patients with Diabetes Mellitus: A Brief Narrative Review
    Yefang Zhu, Hongmei Zhang, Ying Xi, Hongli Zhu, Yan Lu, Xue Luo, Zhangui Tang, Hong Lei
    Diabetes Therapy.2024; 15(5): 917.     CrossRef
  • Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China
    Jinghua Zhang, Binbin Yin, Ya Xi, Yongying Bai
    Preventive Medicine Reports.2024; 41: 102683.     CrossRef
  • Associations of education attainment with gestational diabetes mellitus and the mediating effects of obesity: A Mendelian randomization study
    Xiaoyan Wang, Ying Lan, Na Li, Jinfeng Gao, Dejiao Meng, Shuchuan Miao
    Heliyon.2024; 10(7): e29000.     CrossRef
  • Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study
    Qin-Yu Cai, Jing Tang, Si-Zhe Meng, Yi Sun, Xia Lan, Tai-Hang Liu
    Heliyon.2024; 10(7): e29020.     CrossRef
  • One abnormal value in oral glucose tolerance test during pregnancy and type 2 diabetes risk: Insights from a 5-Year Follow-Up study
    Rawia Hussein-Aro, Esther Maor-Sagie, Yoel Toledano, Mordechai Hallak, Rinat Gabbay-Benziv
    Diabetes Research and Clinical Practice.2024; 211: 111659.     CrossRef
  • Assessment of the Level of Knowledge About Risk Factors, Prevention, and Treatment of Gestational Diabetes Mellitus in a Community Sample From Saudi Arabia
    Suzan A Morsy, Ayat M Tawfik, Samar Y Badayyan, Lameer K Shaikh, Shaden AzizKhan, AlKhansaa A Zakari
    Cureus.2024;[Epub]     CrossRef
  • Genetic Susceptibility, Mendelian Randomization, and Nomogram Model Construction of Gestational Diabetes Mellitus
    Qiulian Liang, Ming Li, Gongchen Huang, Ruiqi Li, Linyuan Qin, Ping Zhong, Xuekun Xing, Xiangyuan Yu
    The Journal of Clinical Endocrinology & Metabolism.2024; 109(11): 2802.     CrossRef
  • Study on the regulation of trophoblast activity by abnormally expressed hsa_circ_0024838/miR-543/HIF1A in patients with gestational diabetes mellitus
    Qian Liu, Juan Gui, Lianzhi Wu
    Placenta.2024; 151: 27.     CrossRef
  • Association between sleep duration during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis
    Yuandong Li, Chao Liang, Cui Wu, Zheng Nan
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Ultrasonographic diagnosis of fetal hemodynamic parameters in pregnant women with diabetes mellitus in the third trimester of pregnancy
    Dongmei Cai, Su Yan
    Heliyon.2024; 10(11): e30352.     CrossRef
  • Gestational diabetes mellitus and development of intergenerational non-alcoholic fatty liver disease (NAFLD) after delivery: a systematic review and meta-analysis
    Ru Xun Foo, Jenny Junyi Ma, Ruochen Du, George Boon Bee Goh, Yap Seng Chong, Cuilin Zhang, Ling-Jun Li
    eClinicalMedicine.2024; 72: 102609.     CrossRef
  • Perceptions of Chinese women with a history of gestational diabetes regarding health behaviors and related factors: a directed qualitative content analysis
    Xiaoxia Ma, Yun Yang, Shuhua Qian, Yan Ding, Qiping Lin, Na Wang
    BMC Public Health.2024;[Epub]     CrossRef
  • Associations of serum D-dimer and glycosylated hemoglobin levels with third-trimester fetal growth restriction in gestational diabetes mellitus
    Ying Zhang, Teng Li, Chao-Yan Yue, Yun Liu
    World Journal of Diabetes.2024; 15(5): 914.     CrossRef
  • Characterizing the Dynamic Expression of C1q/TNF-α-Related Protein 6 (CTRP6) during Pregnancy in Humans and Mice with Gestational Diabetes Mellitus
    Jianan Jiang, Shuangyu Wei, Miao Chen, Yutian Tan, Zhao Yang, Guiying Yang, Weijie Feng, Zhen Han, Xiaojing Wei, Xiao Luo
    Biomedicines.2024; 12(5): 1128.     CrossRef
  • Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis
    Rong Liao, Yamin Li, Hui Yang, Yaoyue Luo
    Clinical Nursing Research.2024; 33(6): 448.     CrossRef
  • Association of VDR gene variant rs2228570-FokI with gestational diabetes mellitus susceptibility in Arab women
    Maysa Alzaim, Mohammed G.A. Ansari, Abeer A. Al-Masri, Malak N.K. Khattak, Abir Alamro, Amani Alghamdi, Amal Alenad, Majed Alokail, Omar S. Al-Attas, Ahmad G. Al-Zahrani, Nasser M. Al-Daghri
    Heliyon.2024; 10(11): e32048.     CrossRef
  • Placental Expression of Glucose and Zinc Transporters in Women with Gestational Diabetes
    Łukasz Ustianowski, Michał Czerewaty, Kajetan Kiełbowski, Estera Bakinowska, Maciej Tarnowski, Krzysztof Safranow, Andrzej Pawlik
    Journal of Clinical Medicine.2024; 13(12): 3500.     CrossRef
  • Development and validation of gestational diabetes mellitus health literacy scale
    Ruting Gu, Tong Sun, Yueshuai Pan, Jingyuan Wang, Qianqian Li, Yan Zhang, Yalin Tang, Haiqing Zhou, Lili Wei
    Patient Education and Counseling.2024; 127: 108365.     CrossRef
  • Efectele placentare ale rezistenţei la insulină în sarcinile complicate cu diabet zaharat gestaţional
    Ionescu Gabriela, Marina Nicolae-Gabriel, Scurtu Francesca, Dorneanu Denisa, Edu Mihnea-Dan, Mateescu Radu-Nicolae, Mihaela  Plotogea, Antoine Edu, Claudia Mehedinţu, Noditi Aniela
    Obstetrica şi Ginecologia.2024; 2(73): 74.     CrossRef
  • The problem of diabetes mellitus in obstetrics
    E.V. Popova-Petrosyan, A.A. Dovgan’, E.R. Kulieva
    Russian Bulletin of Obstetrician-Gynecologist.2024; 24(3): 25.     CrossRef
  • Second‐trimester triglyceride‐glucose index to predict adverse outcomes in women with gestational diabetes mellitus: A retrospective multicenter cohort study
    Xueqi Bai, Qingyi Zhu, Wenli Wang, Sutong Kan, Shiman Hu, Runrun Hao, Shanshan Wang, Zhonghua Shi
    Journal of Diabetes Investigation.2024; 15(10): 1489.     CrossRef
  • Therapeutic effect of Momordica charantia on cardiomyopathy in a diabetic maternal rat model
    Shaimaa M. Elnahas, Hend Abd El‐Halim Mansour, Mamdouh R. El‐Sawi, Amoura M. Abou‐El‐Naga
    Journal of Experimental Zoology Part A: Ecological and Integrative Physiology.2024; 341(9): 977.     CrossRef
  • Functional genetic variants and susceptibility and prediction of gestational diabetes mellitus
    Gongchen Huang, Yan Sun, Ruiqi Li, Lei Mo, Qiulian Liang, Xiangyuan Yu
    Scientific Reports.2024;[Epub]     CrossRef
  • Early Methylglyoxal Exposure Leads to Worsened Cardiovascular Function in Young Rats
    Marcos Divino Ferreira-Junior, Keilah Valéria N. Cavalcante, Jaqueline M. Costa, Amanda S. M. Bessa, Andreia Amaro, Carlos Henrique de Castro, Carlos Henrique Xavier, Sónia Silva, Diogo A. Fonseca, Paulo Matafome, Rodrigo Mello Gomes
    Nutrients.2024; 16(13): 2029.     CrossRef
  • The prevalence of gestational diabetes among underweight and normal weight women worldwide: a scoping review
    Emily S. Gitlin, Michelle Demetres, Arthi Vaidyanathan, Nicole Palmer, Hannah Lee, Sabrina Loureiro, Eman Radwan, Abigail Tuschman, Jyoti Mathad, Puja Chebrolu
    Frontiers in Clinical Diabetes and Healthcare.2024;[Epub]     CrossRef
  • Metformin administration during pregnancy tends to reduce the risk of gestational diabetes mellitus and improve pregnancy outcomes in previously infertile women with polycystic ovary syndrome who become pregnant
    Huamei Liu, Yajia Liu, Changhe Wei, Shoujiu Zhang, Yanjie Xu
    Irish Journal of Medical Science (1971 -).2024; 193(6): 2843.     CrossRef
  • Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus
    Zhuangyuan Tang, Shuo Wang, Xi Li, Chengbin Hu, Qiangrong Zhai, Jing Wang, Qingshi Ye, Jinnan Liu, Guohong Zhang, Yuanyuan Guo, Fengxia Su, Huikun Liu, Lingyao Guan, Chang Jiang, Jiayu Chen, Min Li, Fangyi Ren, Yu Zhang, Minjuan Huang, Lingguo Li, Haiqian
    Cell Reports Medicine.2024; 5(8): 101660.     CrossRef
  • Dual-mode detection of glucose based on pistol-like DNAzyme-mediated exonuclease-assisted signal cycle
    Huiying Lu, Xiaofeng Wang
    BioTechniques.2024; 76(9): 415.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Metformin inhibits OCT3-mediated serotonin transport in the placenta
    Veronika Vachalova, Fiona Kumnova, Tetiana Synova, Kasin Yadunandam Anandam, Cilia Abad, Rona Karahoda, Frantisek Staud
    Biomedicine & Pharmacotherapy.2024; 179: 117399.     CrossRef
  • Effects of multidimensional exercise management on self-efficacy, blood glucose control, and delivery outcomes in pregnant women with gestational diabetes mellitus
    Ying He, Xin Liu, Xiali Yang
    Frontiers in Physiology.2024;[Epub]     CrossRef
  • Letter to the Editor: Comment on “The association between prepregnancy dietary fatty acids and risk of gestational diabetes mellitus: A prospective cohort study”
    Joaci Pereira dos Santos Júnior, Erika Vanesa Cadena-Burbano, Raul Manhães-de-Castro, Ana Elisa Toscano
    Clinical Nutrition ESPEN.2024; 63: 694.     CrossRef
  • Role of the "Ana Goitia" diabetes day hospital in the reduction of maternal and infant morbimortality
    Cecilia Noelia Ramos, Estela Mercedes Acosta
    SCT Proceedings in Interdisciplinary Insights and Innovations.2024; 2: 348.     CrossRef
  • Lysophosphatidylcholine Impairs the Mitochondria Homeostasis Leading to Trophoblast Dysfunction in Gestational Diabetes Mellitus
    Shao-Chi Hung, Te-Fu Chan, Hsiu-Chuan Chan, Chia-Ying Wu, Mei-Lin Chan, Jie-Yang Jhuang, Ji-Qin Tan, Jia-Bin Mei, Shi-Hui Law, Vinoth Kumar Ponnusamy, Hua-Chen Chan, Liang-Yin Ke
    Antioxidants.2024; 13(8): 1007.     CrossRef
  • Effect of High Glucose on Embryological Development of Zebrafish, Brachyodanio, Rerio through Wnt Pathway
    Ebony Thompson, Justin Hensley, Renfang Song Taylor
    International Journal of Molecular Sciences.2024; 25(17): 9443.     CrossRef
  • Periodontitis and diabetes in pregnant rats: Maternal-fetal outcomes
    Samuel Santos Souza, Larissa Lopes Cruz, Amanda Munnick Alves-Reis, Vanessa Queiros Costa, Rafaianne Queiroz Moraes-Souza, Débora Cristina Damasceno, Gustavo Tadeu Volpato
    Heliyon.2024; 10(17): e37394.     CrossRef
  • MODULAÇÃO DA MICROBIOTA INTESTINAL NO DIABETES MELLITUS GESTACIONAL: ALVO POTENCIAL TERAPÊUTICO NA ATENUAÇÃO DOS DESFECHOS ADVERSOS MATERNOS E FETAIS
    Rafaela da Silva Rocha, Adrielly Suely Santos Pereira, Marília Oliveira Fonseca Goulart, Elaine Luiza Santos Soares de Mendonça, Alane Cabral Menezes de Oliveira
    Revista Contemporânea.2024; 4(9): e5677.     CrossRef
  • Gestational diabetes mellitus: ensuring healthy futures
    Harriet D Morgan, Malak Hamza, Amy E Morrison, Cathy Campbell, Caroline Borg Cassar, Sheena Thayyil, Claire L Meek
    British Journal of Midwifery.2024; 32(10): 552.     CrossRef
  • Characteristics of Glucose-Lipid Metabolism in Early Pregnancy Among Overweight and Obese Women and Their Predictive Value for Gestational Diabetes Mellitus
    Xia Chen, Jianmin Zhang, Yuanru Tang, Yan Zhang, Ziwen Ma, Yifan Hu
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3711.     CrossRef
  • Effects of Three Exercise Interventions on Pregnancy and Neonatal Outcomes in Chinese Women with Gestational Diabetes Mellitus: A Prospective Cohort Study
    Yingchun Zeng, Xiaohui Meng, Meiling Wen, Yin Qin, Xiaorong Wang, Xia Dai, Qiuhong Huang
    Clinical and Experimental Obstetrics & Gynecology.2024;[Epub]     CrossRef
  • Insulin aspart plus high-dose vitamin D supplementation for gestational diabetes mellitus: analysis of efficacy and risk factors for maternal and infant outcomes
    Huiying Qiu
    American Journal of Translational Research.2024; 16(8): 4200.     CrossRef
  • Influencing factors of glycemic control in singleton pregnancies complicated by gestational diabetes mellitus in western China: A retrospective study
    Jiani Zhang, Chihui Mao, Qi Cao, Guiqiong Huang, Xiaodong Wang
    Medicine.2024; 103(38): e39853.     CrossRef
  • Position statement of Italian Society of Obesity (SIO): Gestational Obesity
    Luigi Barrea, Stefania Camastra, Silvia Garelli, Valeria Guglielmi, Melania Manco, Fernanda Velluzzi, Rocco Barazzoni, Ludovica Verde, Giovanna Muscogiuri
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2024;[Epub]     CrossRef
  • The Role of Xanthine Oxidase in Pregnancy Complications: A Systematic Review
    Lorenzo Annesi, Giovanni Tossetta, Claudio Borghi, Federica Piani
    Antioxidants.2024; 13(10): 1234.     CrossRef
  • Non-Pharmacological Management of Gestational Diabetes Mellitus with a High Fasting Glycemic Parameter: A Hospital-Based Study in Vietnam
    Hang Giang Nguyen, Khanh Trang Huynh Nguyen, Phuc Nhon Nguyen
    Journal of Clinical Medicine.2024; 13(19): 5895.     CrossRef
  • Role of health literacy on lifestyle and glycemic control among women with diabetes during pregnancy: a cross-sectional study
    Towhid Babazadeh, Sara Pourrazavi, Zahra Ardeshiri, Akbar Nadi, Khalil Maleki Chollou
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Bioinformatics-based Identification of Ferroptosis-related Genes and their Diagnostic Value in Gestational Diabetes Mellitus
    Xiaomei Lv, Yujun An
    Endocrine, Metabolic & Immune Disorders - Drug Targets.2024; 24(14): 1611.     CrossRef
  • Behenic acid alleviates inflammation and insulin resistance in gestational diabetes mellitus by regulating TLR4/NF-κB signaling pathway
    Kerong Liu, Ying Gu, Xingnan Pan, Sha Chen, Jie Cheng, Le Zhang, Minkai Cao
    iScience.2024; 27(10): 111019.     CrossRef
  • Quantitative Analysis of Myocardial Work in Gestational Diabetes Mellitus Using Noninvasive Left Ventricular Pressure‐Strain Loop Measurement
    Jiaqi Zhang, Caihong Chang, Changxiu Yu, Yao Peng, Wei Feng, Juan Song, Ji Wu
    Echocardiography.2024;[Epub]     CrossRef
  • Beyond one size fits all: Probing patient choices in gestational diabetes management, from screening to postpartum
    Ayman Mobin, Amir Obeid, Imad El‐Kebbi, Dean Everett, Saleh Ibrahim, Joviana Farhat, Basem Al‐Omari
    Chronic Diseases and Translational Medicine.2024;[Epub]     CrossRef
  • Association of joint exposure to organophosphorus flame retardants and phthalate acid esters with gestational diabetes mellitus: a nested case-control study
    Qi Lang, Xianfeng Qin, Xiangyuan Yu, Shudan Wei, Jinyan Wei, Min Zhang, Chaochao Zhao, Jun Zhang, Dingyuan Zeng, Xiaoying Zhang, Bo Huang
    BMC Pregnancy and Childbirth.2024;[Epub]     CrossRef
  • Amelioration of Insulin Resistance after Delivery Is Associated with Reduced Risk of Postpartum Diabetes in Women with Gestational Diabetes Mellitus
    Heejun Son, Joon Ho Moon, Sung Hee Choi, Nam H. Cho, Soo Heon Kwak, Hak Chul Jang
    Endocrinology and Metabolism.2024; 39(5): 701.     CrossRef
  • Are Maternal Dietary Patterns During Pregnancy Associated with the Risk of Gestational Diabetes Mellitus? A Systematic Review of Observational Studies
    Charikleia Kyrkou, Apostolos P. Athanasiadis, Michael Chourdakis, Stefania Kada, Costas G. Biliaderis, Georgios Menexes, Alexandra-Maria Michaelidou
    Nutrients.2024; 16(21): 3632.     CrossRef
  • Gestational diabetes mellitus – Can we do better with postpartum diabetes screening?
    Hadas Zafrir-Danieli, Ohad Houri, Reut Rotem, Dror Weinberg-Almog, Or Bercovich, Eran Hadar, Alexandra Berezowsky
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2024; 303: 153.     CrossRef
  • Dietary inflammatory index as a predictor of prediabetes in women with previous gestational diabetes mellitus
    Yanhong Xu, Zhiying Yao, Jiayi Lin, Nan Wei, Ling Yao
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Influence of Nutrition on Growth and Development of Metabolic Syndrome in Children
    Alessia Quarta, Maria Teresa Quarta, Concetta Mastromauro, Francesco Chiarelli, Cosimo Giannini
    Nutrients.2024; 16(22): 3801.     CrossRef
  • Usefulness of Glycated Albumin Levels in Predicting the Maternal or Neonatal Complications of Gestational Diabetes Mellitus during Late Pregnancy in South Korea: A Retrospective Study
    Jihan Kim, Sami Lee, Jong Sung Kim
    Korean Journal of Family Medicine.2024;[Epub]     CrossRef
  • Combination of body mass index and body fat percentage in middle and late pregnancy to predict pregnancy outcomes in patients with gestational diabetes in Wenzhou, China: a single-centre retrospective cohort study
    Bingru Chen, Lanxi Chen, Xiner Zhao, Tao You, Zhi Zheng, Yilin Chen, Shuoru Zhu
    BMJ Open.2024; 14(11): e086703.     CrossRef
  • The Predictive Power of the Mother’s Neck Circumference in the Early Diagnosis of Gestational Diabetes Mellitus
    Mahin Balouchi Mahani, Mahtab Sattari, Akbar Mehralizade, Azam Amirian
    Journal of Nursing and Midwifery Sciences.2024;[Epub]     CrossRef
  • Insights into the pathogenesis of gestational and hepatic diseases: the impact of ferroptosis
    Yilan You, Zhiwen Qian, Ying Jiang, Lingyan Chen, Danping Wu, Lu Liu, Feng Zhang, Xin Ning, Yan Zhang, Jianping Xiao
    Frontiers in Cell and Developmental Biology.2024;[Epub]     CrossRef
  • The effect of diabetes education on maternal and neonatal outcomes in pregnant women diagnosed with gestational diabetes
    Serap Topkara, Çağanay Soysal
    BMC Pregnancy and Childbirth.2024;[Epub]     CrossRef
  • Administration of a diabetes-specific formula can improve postprandial glycemic control and delay insulin use in gestational diabetes mellitus: A randomized controlled trial from two centers
    Ruihua Yang, Weiling Han, Wei Zheng, Dong Xu, Jing He, Xianxian Yuan, Li Zhang, Zhihong Tian, Guanghui Li
    Clinical Nutrition.2024; 43(12): 265.     CrossRef
  • Circ‐ADAM9 Knockdown Reduces Insulin Resistance and Placental Injury in Diabetic Mice via MAPK Pathway Inactivation
    Ai Zhao, Yawen Yang, Yijun Yang, Zhenjing Chi, Yanlan Sun
    American Journal of Reproductive Immunology.2024;[Epub]     CrossRef
  • The Efficacy and Acceptability of Flash Glucose Monitoring in Pregnant Women with Gestational Diabetes Mellitus: A Systematic Review
    Franciszek Ługowski, Julia Babińska, Zofia Awiżeń-Panufnik, Ewelina Litwińska-Korcz, Magdalena Litwińska, Artur Ludwin, Paweł Jan Stanirowski
    Journal of Clinical Medicine.2024; 13(23): 7129.     CrossRef
  • Impact of Gestational Diabetes Mellitus on Fetal Growth and Nutritional Status in Newborns
    Karolina Karcz, Barbara Królak-Olejnik
    Nutrients.2024; 16(23): 4093.     CrossRef
  • Association of overweight and obesity with gestational diabetes mellitus among pregnant women attending antenatal care clinics in Addis Ababa, Ethiopia: a case-control study
    Yeabsra Mesfin Seifu, Negussie Deyessa, Yimer Seid Yimer
    BMJ Open.2024; 14(11): e082539.     CrossRef
  • Gestational diabetes mellitus and risk of neonatal respiratory distress syndrome: a systematic review and meta-analysis
    Fang Yang, Hua Liu, Cuixia Ding
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Associations of systemic immune-inflammation index and systemic inflammation response index with maternal gestational diabetes mellitus: Evidence from a prospective birth cohort study
    Shuanghua Xie, Enjie Zhang, Shen Gao, Shaofei Su, Jianhui Liu, Yue Zhang, Yingyi Luan, Kaikun Huang, Minhui Hu, Xueran Wang, Hao Xing, Ruixia Liu, Wentao Yue, Chenghong Yin
    Chinese Medical Journal.2024;[Epub]     CrossRef
  • Gestational Diabetes, the Human Milk Metabolome, and Infant Growth and Adiposity
    Emily M. Nagel, Armando Peña, Jonathan M. Dreyfuss, Eric F. Lock, Kelsey E. Johnson, Chang Lu, David A. Fields, Ellen W. Demerath, Elvira Isganaitis
    JAMA Network Open.2024; 7(12): e2450467.     CrossRef
  • Prediction of Possible Adverse Effects of Gestational Diabetes Mellitus on Maternal and Fetal Glomeruli by Urine and Amniotic Fluid Podocyte Degradation Products
    Fatma Tanilir Cagiran, Nihal Mavral, Zercan Kali, Pinar Kirici
    Diagnostics.2024; 14(24): 2771.     CrossRef
  • LncRNAs Involved in Antioxidant Response Regulation as Biomarkers of Gestational Diabetes: A Study on H19, MALAT1 and MEG3
    Jovana Stevanović, Uroš Petrović, Ana Penezić, Ognjen Radojičić, Daniela Ardalić, Milica Mandić, Vesna Mandić-Marković, Željko Miković, Miloš Brkušanin, Olgica Nedić, Zorana Dobrijević
    Antioxidants.2024; 13(12): 1503.     CrossRef
  • Decreased telomerase activity and shortened telomere length in infants whose mothers have gestational diabetes mellitus and increased severity of telomere shortening in male infants
    Shuhua Liu, Liping Xu, Yan Cheng, Dehong Liu, Bin Zhang, Xianxia Chen, Mingming Zheng
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Infants of Diabetic Mothers and Associated Complications in the Neonatal Intensive Care Unit
    Hussain A Al Ghadeer, Ahad A Mohamed , Mariam A Alali, Kulthum A Al Mahdi, Sajeda M Almishal, Tawfiq M Aljubran, Abdulelah A Alneamah , Roaa S Alduhmush , Mohammed J Alobaid , Tarfh S Alsaad , Hayam S Almoagal, Abdullah M Albuali , Mudhawi F Alsu
    Cureus.2024;[Epub]     CrossRef
  • U-shaped Association Between Folic Acid Supplementation and the Risk of Gestational Diabetes Mellitus in Chinese Women
    Jiuming Zou, Qiang Fu, Xiaoliu Huang, Zhao Yao, Weiye Wang
    Canadian Journal of Diabetes.2023; 47(1): 78.     CrossRef
  • Vitamin D Supplementation for the Outcomes of Patients with Gestational Diabetes Mellitus and Neonates: A Meta-Analysis and Systematic Review
    Chunfeng Wu, Yang Song, Xueying Wang, Pier P. Sainaghi
    International Journal of Clinical Practice.2023; 2023: 1.     CrossRef
  • Lipolysis and gestational diabetes mellitus onset: a case-cohort genome-wide association study in Chinese
    Miao Zhang, Qing Li, Kai-Lin Wang, Yao Dong, Yu-Tong Mu, Yan-Min Cao, Jin Liu, Zi-Heng Li, Hui-Lu Cui, Hai-Yan Liu, An-Qun Hu, Ying-Jie Zheng
    Journal of Translational Medicine.2023;[Epub]     CrossRef
  • Interactive effect of prepregnancy overweight/obesity and GDM history on prevalence of GDM in biparous women
    Xia Xu, Feipeng Huang, Yanni Guo, Lianghui Zheng, Jianying Yan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Microbiome Changes in Pregnancy Disorders
    Luca Giannella, Camilla Grelloni, Dayana Quintili, Alessia Fiorelli, Ramona Montironi, Sonila Alia, Giovanni Delli Carpini, Jacopo Di Giuseppe, Arianna Vignini, Andrea Ciavattini
    Antioxidants.2023; 12(2): 463.     CrossRef
  • Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
    Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
    Scientific Reports.2023;[Epub]     CrossRef
  • Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm
    Xiaoqi Hu, Xiaolin Hu, Ya Yu, Jia Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Prevalence and outcomes of gestational diabetes mellitus in Indian women: Insights from a large real-world study over ten years at tertiary care research institute
    Sanjay Gupte, Gayatri Venkataraman, Aarti S. Shah, Shalaka Jamenis, Chandrakant Rao, Shweta M. Jangam, Kaveri M. Adki, Onkar C. Swami
    International Journal of Diabetes in Developing Countries.2023; 43(4): 511.     CrossRef
  • Gestational diabetes mellitus: state of art
    S. A. Pletneva, E. V. Enkova, O. V. Khoperskaya, S. V. Shamarin, V. V. Enkova
    Meditsinskiy sovet = Medical Council.2023; (5): 136.     CrossRef
  • Effect of folic acid supplementation in the association between short sleep duration and gestational diabetes mellitus
    Zhen Yang, Sisi Hu, Wei Tong, Zhihao Xu, Xiaoliu Huang, Weiye Wang
    Sleep and Breathing.2023; 27(6): 2509.     CrossRef
  • Birth weight and large for gestational age trends in offspring of pregnant women with gestational diabetes mellitus in southern China, 2012-2021
    Li-Rong He, Li Yu, Yong Guo
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Root causes of long-term complications of gestational diabetes mellitus: Metabolic disturbances of the host and gut microbiota
    Mingjin Tao, Gaochen Lu, Sheng Zhang, Pan Li
    Clinica Chimica Acta.2023; 548: 117490.     CrossRef
  • Analysis on Related Risk Factors for Gestational Diabetes Mellitus (GDM) in Subsequent Pregnancies in Multiparous Women with No History of GDM
    文静 张
    Advances in Clinical Medicine.2023; 13(07): 11628.     CrossRef
  • Fetoplacental endothelial dysfunction in gestational diabetes mellitus and maternal obesity: A potential threat for programming cardiovascular disease
    Mariana S. Diniz, Ursula Hiden, Inês Falcão-Pires, Paulo J. Oliveira, Luis Sobrevia, Susana P. Pereira
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(8): 166834.     CrossRef
  • Diagnosis and management of gestational diabetes mellitus
    Tae Jung Oh
    Journal of the Korean Medical Association.2023; 66(7): 414.     CrossRef
  • Hypoglycemia in Children: Major Endocrine-Metabolic Causes and Novel Therapeutic Perspectives
    Alessia Quarta, Daniela Iannucci, Miriana Guarino, Annalisa Blasetti, Francesco Chiarelli
    Nutrients.2023; 15(16): 3544.     CrossRef
  • Relation between weight gain during pregnancy and postpartum reclassification in gestational diabetes
    Sofia Coelho, Marta Canha, Ana Rita Leite, João Sérgio Neves, Ana Isabel Oliveira, Davide Carvalho, Maria do Céu Ameida
    Endocrine.2023; 82(2): 296.     CrossRef
  • Nurturing through Nutrition: Exploring the Role of Antioxidants in Maternal Diet during Pregnancy to Mitigate Developmental Programming of Chronic Diseases
    Mariana S. Diniz, Carina C. Magalhães, Carolina Tocantins, Luís F. Grilo, José Teixeira, Susana P. Pereira
    Nutrients.2023; 15(21): 4623.     CrossRef
  • Blood manganese level and gestational diabetes mellitus: a systematic review and meta-analysis
    Yingmei Sun, Yu Zhang
    Journal of Obstetrics and Gynaecology.2023;[Epub]     CrossRef
  • Multiparity increases the risk of diabetes by impairing the proliferative capacity of pancreatic β cells
    Joon Ho Moon, Joonyub Lee, Kyun Hoo Kim, Hyun Jung Kim, Hyeongseok Kim, Hye-Na Cha, Jungsun Park, Hyeonkyu Lee, So-young Park, Hak Chul Jang, Hail Kim
    Experimental & Molecular Medicine.2023; 55(10): 2269.     CrossRef
  • Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
    Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
    Neurology International.2023; 15(4): 1253.     CrossRef
  • Synergistic effect between pre-pregnancy smoking and assisted reproductive technology on gestational diabetes mellitus in twin pregnancies
    Lingyu Zhang, Yan Huang, Mingjin Zhang, Yanqi Jin
    Acta Diabetologica.2023; 61(2): 205.     CrossRef
  • A Comprehensive Review of Gestational Diabetes Mellitus: Impacts on Maternal Health, Fetal Development, Childhood Outcomes, and Long-Term Treatment Strategies
    Vaishnavi S Nakshine, Sangita D Jogdand
    Cureus.2023;[Epub]     CrossRef
  • The role of dietary fiber on preventing gestational diabetes mellitus in an at-risk group of high triglyceride-glucose index women: a randomized controlled trial
    Yannan Cao, Jing Sheng, Dongyao Zhang, Li Chen, Ying Jiang, Decui Cheng, Yao Su, Yuexin Yu, Haoyi Jia, Pengyuan He, Li Wang, Xianming Xu
    Endocrine.2023; 82(3): 542.     CrossRef
  • Correlation between PAPP-A serum levels in the first trimester of pregnancy with the occurrence of gestational diabetes, a multicenter cohort study
    Sedigheh Borna, Masoumeh Ashrafzadeh, Marjan Ghaemi, Nasim Eshraghi, Nafiseh Hivechi, Sedigheh Hantoushzadeh
    BMC Pregnancy and Childbirth.2023;[Epub]     CrossRef
  • Impact of COVID-19 lockdown on glycemic levels during pregnancy: A retrospective analysis
    Erika Di Zazzo, Sergio Davinelli, Serena Panichella, Giovanni Scapagnini, Mariano Intrieri, Silvio Garofalo
    Open Medicine.2023;[Epub]     CrossRef
  • Advancements in Nutritional Strategies for Gestational Diabetes Management: A Systematic Review of Recent Evidence
    Juan Carlos Sánchez-García, Ines Saraceno López-Palop, Beatriz Piqueras-Sola, Jonathan Cortés-Martín, Elena Mellado-García, Inmaculada Muñóz Sánchez, Raquel Rodríguez-Blanque
    Journal of Clinical Medicine.2023; 13(1): 37.     CrossRef
  • Neuroprotective Potential of Punicalagin, a Natural Component of Pomegranate Polyphenols: A Review
    Peng Chen, ZhiLei Guo, Benhong Zhou
    Journal of Integrative Neuroscience.2023;[Epub]     CrossRef
  • Comparative efficacy and safety of glyburide, metformin, and insulin in treatment of gestational diabetes mellitus
    Jing Lin, Rong-zu Tu, Xun-yu Hong
    Medicine.2022;[Epub]     CrossRef
  • Stacking Ensemble Method for Gestational Diabetes Mellitus Prediction in Chinese Pregnant Women: A Prospective Cohort Study
    Ruiyi Liu, Yongle Zhan, Xuan Liu, Yifang Zhang, Luting Gui, Yimin Qu, Hairong Nan, Yu Jiang, Mehdi Gheisari
    Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
  • Secular increase in the prevalence of gestational diabetes and its associated adverse pregnancy outcomes from 2014 to 2021 in Hebei province, China
    Mei-Ling Tian, Li-Yan Du, Guo-Juan Ma, Ting Zhang, Xu-Yuan Ma, Ying-Kui Zhang, Zeng-Jun Tang
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Aquaporin-8 overexpression is involved in vascular structure and function changes in placentas of gestational diabetes mellitus patients
    Yanxing Shan, Jiawen Cui, Xinyi Kang, Weichun Tang, Yiling Lu, Ying Gao, Liping Chen
    Open Life Sciences.2022; 17(1): 1473.     CrossRef
  • Vitamin D status and levels of pro-inflammatory cytokines in newborns born to mothers with endocrine diseases
    N. E. Verisokina, L. Ya. Klimov, I. N. Zakharova, A. L. Zaplatnikov, V. V. Zubkov, A. A. Momotova, V. A. Kuryaninova, R. A. Atanesyan, T. V. Zhelezniakova, M. A. Petrosyan, D. V. Bobryshev, D. A. Volkov, Z. A. Magomadova
    Meditsinskiy sovet = Medical Council.2022; (19): 9.     CrossRef
  • IL-6 and IL-8: An Overview of Their Roles in Healthy and Pathological Pregnancies
    Aleksandra Vilotić, Mirjana Nacka-Aleksić, Andrea Pirković, Žanka Bojić-Trbojević, Dragana Dekanski, Milica Jovanović Krivokuća
    International Journal of Molecular Sciences.2022; 23(23): 14574.     CrossRef
  • Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
    Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(6): 890.     CrossRef
  • Identification of human placenta-derived circular RNAs and autophagy related circRNA-miRNA-mRNA regulatory network in gestational diabetes mellitus
    Yindi Bao, Jun Zhang, Yi Liu, Lianzhi Wu, Jing Yang
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • The Role of Dietary Polyphenols in Pregnancy and Pregnancy-Related Disorders
    Mirjana Nacka-Aleksić, Andrea Pirković, Aleksandra Vilotić, Žanka Bojić-Trbojević, Milica Jovanović Krivokuća, Francesca Giampieri, Maurizio Battino, Dragana Dekanski
    Nutrients.2022; 14(24): 5246.     CrossRef
Metabolic Risk/Epidemiology
Article image
Maternal Hyperglycemia during Pregnancy Increases Adiposity of Offspring
Hye Rim Chung, Joon Ho Moon, Jung Sub Lim, Young Ah Lee, Choong Ho Shin, Joon-Seok Hong, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2021;45(5):730-738.   Published online February 22, 2021
DOI: https://doi.org/10.4093/dmj.2020.0154
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Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The effect of intrauterine hyperglycemia on fat mass and regional fat proportion of the offspring of mothers with gestational diabetes mellitus (OGDM) remains to be determined.
Methods
The body composition of OGDM (n=25) and offspring of normoglycemic mothers (n=49) was compared using dualenergy X-ray absorptiometry at age 5 years. The relationship between maternal glucose concentration during a 100 g oral glucose tolerance test (OGTT) and regional fat mass or proportion was analyzed after adjusting for maternal prepregnancy body mass index (BMI).
Results
BMI was comparable between OGDM and control (median, 16.0 kg/m2 vs. 16.1 kg/m2 ). Total, truncal, and leg fat mass were higher in OGDM compared with control (3,769 g vs. 2,245 g, P=0.004; 1,289 g vs. 870 g, P=0.017; 1,638 g vs. 961 g, P=0.002, respectively), whereas total lean mass was lower in OGDM (15,688 g vs. 16,941 g, P=0.001). Among OGDM, total and truncal fat mass were correlated with fasting and 3-hour glucose concentrations of maternal 100 g OGTT during pregnancy (total fat mass, r=0.49, P=0.018 [fasting], r=0.473, P=0.023 [3-hour]; truncal fat mass, r=0.571, P=0.004 [fasting], r=0.558, P=0.006 [3-hour]), but there was no correlation between OGDM leg fat mass and maternal OGTT during pregnancy. Regional fat indices were not correlated with concurrent maternal 75 g OGTT values.
Conclusion
Intrauterine hyperglycemia is associated with increased fat mass, especially truncal fat, in OGDM aged 5 years.

Citations

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  • Advances in free fatty acid profiles in gestational diabetes mellitus
    Haoyi Du, Danyang Li, Laura Monjowa Molive, Na Wu
    Journal of Translational Medicine.2024;[Epub]     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Type 1 Diabetes and Pregnancy: Challenges in Glycemic Control and Maternal–Fetal Outcomes
    Tejumola Apata, Dennis Samuel, Laticia Valle, Sarah D. Crimmins
    Seminars in Reproductive Medicine.2024; 42(03): 239.     CrossRef
  • Association between serum free fatty acids and gestational diabetes mellitus
    Danyang Li, Haoyi Du, Na Wu
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • High-fat diet during pregnancy lowers fetal weight and has a long-lasting adverse effect on brown adipose tissue in the offspring
    Mihoko Yamaguchi, Jun Mori, Nozomi Nishida, Satoshi Miyagaki, Yasuhiro Kawabe, Takeshi Ota, Hidechika Morimoto, Yusuke Tsuma, Shota Fukuhara, Takehiro Ogata, Takuro Okamaura, Naoko Nakanishi, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Tomoko I
    Journal of Developmental Origins of Health and Disease.2023; 14(2): 261.     CrossRef
  • Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms
    Byung Soo Kang, Seon Ui Lee, Subeen Hong, Sae Kyung Choi, Jae Eun Shin, Jeong Ha Wie, Yun Sung Jo, Yeon Hee Kim, Kicheol Kil, Yoo Hyun Chung, Kyunghoon Jung, Hanul Hong, In Yang Park, Hyun Sun Ko
    Scientific Reports.2023;[Epub]     CrossRef
  • Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
    Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
    Scientific Reports.2023;[Epub]     CrossRef
  • Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
COVID-19
Article image
Effects of Social Distancing on Diabetes Management in Older Adults during COVID-19 Pandemic
Soo Myoung Shin, Tae Jung Oh, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2021;45(5):765-772.   Published online August 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0096
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Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
On March 22, 2020, intense social distancing (SD) was implemented in Korea to prevent the spread of coronavirus disease 19 (COVID-19). This study examined the impact of SD on diabetes control in older adults with diabetes.
Methods
Adults aged 60 to 90 years with type 2 diabetes mellitus who were physically and mentally independent were recruited. Participants who had complete blood chemistry data from April to July 2019 (pre-SD era) and April to July 2020 (SD era) were enrolled. Data were obtained about physical activity, nutrition, sarcopenia, and psychological and mental health from questionnaires in April to July 2020. Calf circumference was measured.
Results
In total, 246 people (100 men, 146 women; mean age, 73.8±5.7 years) participated in this study. The levels of glycated hemoglobin (HbA1c, 7.4%±1.0% vs. 7.1%±0.8%, P<0.001), fasting glucose (142.2±16.7 mg/dL vs. 132.0±27.7 mg/dL, P<0.001), and body weight (62.6±9.4 kg vs. 61.8±10.1 kg, P<0.01) were higher in the SD era than in the pre-SD era. Total physical activity was lower in the SD era (2,584.6±2,624.1 MET-min/week–1 vs. 1,987.3±2,295.0 MET-min/week–1, P<0.001). A larger increase in HbA1c level was associated with increased body weight and decreased physical activity.
Conclusion
SD had negative effects on diabetes management in older adults with diabetes. Fasting glucose and HbA1c levels and body weight increased during the SD era. Participants with reduced physical activity gained more weight and had higher blood glucose levels. Given that the COVID-19 pandemic is ongoing, health professionals and diabetes educators should monitor changes in lifestyle factors in older adults with diabetes.

Citations

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  • Preliminary efficacy of a technology-based physical activity intervention for older Korean adults during the COVID-19 pandemic
    Soonhyung Kwon, Oejin Shin, Rosalba Hernandez
    Educational Gerontology.2024; 50(1): 27.     CrossRef
  • Official risk communication for COVID-19 and beyond: can we do a better job?
    Faina Linkov, Christopher L. Cummings, David J. Dausey
    Environment Systems and Decisions.2024; 44(2): 293.     CrossRef
  • Coping with the Care of Older Adults During the COVID-19 Pandemic in Central America: a Legal and Public Health Perspective
    Roberth Steven Gutiérrez-Murillo, Patricia Krieger Grossi
    Journal of Population Ageing.2024; 17(4): 835.     CrossRef
  • Obesity and weight change during the COVID‐19 pandemic in children and adults: A systematic review and meta‐analysis
    Laura N. Anderson, Yulika Yoshida‐Montezuma, Nora Dewart, Ezza Jalil, Jayati Khattar, Vanessa De Rubeis, Sarah Carsley, Lauren E. Griffith, Lawrence Mbuagbaw
    Obesity Reviews.2023;[Epub]     CrossRef
  • Changes in lifestyle-related behaviour during the COVID-19 pandemic in Japan: a questionnaire survey for examinees who underwent an annual health check-up
    Miyako Kishimoto, Kayo Masuko, Sumie Yamamoto, Retsu Fujita, Shoko Nakamura, Masato Odawara, Mikio Zeniya
    Journal of International Medical Research.2023;[Epub]     CrossRef
  • Glycaemic monitoring and control among high-risk patients with type 2 diabetes in Australian general practice during COVID-19
    Kirrilee Jane Barlow, Paul P Fahey, Evan Atlantis
    Family Medicine and Community Health.2023; 11(3): e002271.     CrossRef
  • Social isolation, loneliness and subsequent risk of major adverse cardiovascular events among individuals with type 2 diabetes mellitus
    Yannis Yan Liang, Yilin Chen, Hongliang Feng, Huachen Xue, Yu Nie, Qi-Yong H Ai, Jiacheng Ma, Lulu Yang, Jihui Zhang, Sizhi Ai
    General Psychiatry.2023; 36(6): e101153.     CrossRef
  • Stress, Depression, and Unhealthy Behavior Changes among Patients with Diabetes during COVID-19 in Korea
    Hae Ran Kim, Jeong-Soon Kim
    Healthcare.2022; 10(2): 303.     CrossRef
  • Reply to comment on “Unexpected decline in glycated hemoglobin level after emergency COVID‐19 measures in three robust older Japanese women with prediabetes/mild type 2 diabetes”
    Tazuo Okuno, Osamu Iritani, Kumie Kodera, Daisuke Hama, Asami Kane, Kozue Morigaki, Toshio Terai, Norie Maeno, Shigeto Morimoto
    Geriatrics & Gerontology International.2022; 22(7): 541.     CrossRef
  • Anxiety, Distress and Stress among Patients with Diabetes during COVID-19 Pandemic: A Systematic Review and Meta-Analysis
    Rubén A. García-Lara, José L. Gómez-Urquiza, María José Membrive-Jiménez, Almudena Velando-Soriano, Monserrat E. Granados-Bolivar, José L. Romero-Béjar, Nora Suleiman-Martos
    Journal of Personalized Medicine.2022; 12(9): 1412.     CrossRef
  • Prevalence of Depression and Related Factors among Patients with Chronic Disease during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis
    Rubén A. García-Lara, Nora Suleiman-Martos, María J. Membrive-Jiménez, Victoria García-Morales, Miguel Quesada-Caballero, Isabel M. Guisado-Requena, José L. Gómez-Urquiza
    Diagnostics.2022; 12(12): 3094.     CrossRef
Clinical Diabetes & Therapeutics
Effects of Lobeglitazone, a Novel Thiazolidinedione, on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus over 52 Weeks
Soo Lim, Kyoung Min Kim, Sin Gon Kim, Doo Man Kim, Jeong-Taek Woo, Choon Hee Chung, Kyung Soo Ko, Jeong Hyun Park, Yongsoo Park, Sang Jin Kim, Hak Chul Jang, Dong Seop Choi
Diabetes Metab J. 2017;41(5):377-385.   Published online October 24, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.5.377
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AbstractAbstract PDFPubReader   
Background

The aim of this multicenter, randomized, double-blind study was to examine the effect of lobeglitazone, a novel thiazolidinedione, on the changes in bone mineral density (BMD) in patients with type 2 diabetes mellitus.

Methods

A 24-week, double-blinded phase was followed by a 28-week, open-label phase, in which the placebo group also started to receive lobeglitazone. A total of 170 patients aged 34 to 76 years were randomly assigned in a 2:1 ratio to receive lobeglitazone 0.5 mg or a matching placebo orally, once daily. BMD was assessed using dual-energy X-ray absorptiometry at week 24 and at the end of the study (week 52).

Results

During the double-blinded phase, the femur neck BMD showed decreasing patterns in both groups, without statistical significance (−0.85%±0.36% and −0.78%±0.46% in the lobeglitazone and placebo groups, respectively). The treatment difference between the groups was 0.07%, which was also not statistically significant. Further, minimal, nonsignificant decreases were observed in both groups in the total hip BMD compared to values at baseline, and these differences also did not significantly differ between the groups. During the open-label phase, the BMD was further decreased, but not significantly, by −0.32% at the femur neck and by −0.60% at the total hip in the lobeglitazone group, and these changes did not significantly differ compared with the original placebo group switched to lobeglitazone.

Conclusion

Our results indicate that treatment with lobeglitazone 0.5 mg over 52 weeks showed no detrimental effect on the BMD compared to the placebo.

Citations

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  • Medication-induced fractures: Screening and treatment strategies
    Laraib Javed, Aemen Khakwani, Uzair Khan, Mary Beth Humphrey
    The American Journal of the Medical Sciences.2025; 369(1): 1.     CrossRef
  • Efficacy and safety of novel thiazolidinedione lobeglitazone for managing type-2 diabetes a meta-analysis
    Deep Dutta, Saptarshi Bhattacharya, Manoj Kumar, Priyankar K. Datta, Ritin Mohindra, Meha Sharma
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102697.     CrossRef
  • Efficacy and safety of lobeglitazone, a new Thiazolidinedione, as compared to the standard of care in type 2 diabetes mellitus: A systematic review and meta-analysis
    Shashank R. Joshi, Saibal Das, Suja Xaviar, Shambo Samrat Samajdar, Indranil Saha, Sougata Sarkar, Shatavisa Mukherjee, Santanu Kumar Tripathi, Jyotirmoy Pal, Nandini Chatterjee
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102703.     CrossRef
  • The benefits of adipocyte metabolism in bone health and regeneration
    Lisa-Marie Burkhardt, Christian H. Bucher, Julia Löffler, Charlotte Rinne, Georg N. Duda, Sven Geissler, Tim J. Schulz, Katharina Schmidt-Bleek
    Frontiers in Cell and Developmental Biology.2023;[Epub]     CrossRef
  • Will lobeglitazone rival pioglitazone? A systematic review and critical appraisal
    Kalyan Kumar Gangopadhyay, Awadhesh Kumar Singh
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(4): 102747.     CrossRef
  • Comparison of therapeutic efficacy and safety of sitagliptin, dapagliflozin, or lobeglitazone adjunct therapy in patients with type 2 diabetes mellitus inadequately controlled on sulfonylurea and metformin: Third agent study
    Jun Hwa Hong, Jun Sung Moon, Kayeon Seong, Soo Lim
    Diabetes Research and Clinical Practice.2023; 203: 110872.     CrossRef
  • Bone Mineral Density Evaluation Among Type 2 Diabetic Patients in Rural Haryana, India: An Analytical Cross-Sectional Study
    Nitish Khandelwal, Surbhi Rajauria, Siddhesh Pandurang Kanjalkar, Omkar Shivaji Chavanke, Sanjay Rai
    Cureus.2023;[Epub]     CrossRef
  • Lobeglitazone and Its Therapeutic Benefits: A Review
    Balamurugan M, Sarumathy S, Robinson R
    Cureus.2023;[Epub]     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • A Real-World Study of Long-Term Safety and Efficacy of Lobeglitazone in Korean Patients with Type 2 Diabetes Mellitus
    Bo-Yeon Kim, Hyuk-Sang Kwon, Suk Kyeong Kim, Jung-Hyun Noh, Cheol-Young Park, Hyeong-Kyu Park, Kee-Ho Song, Jong Chul Won, Jae Myung Yu, Mi Young Lee, Jae Hyuk Lee, Soo Lim, Sung Wan Chun, In-Kyung Jeong, Choon Hee Chung, Seung Jin Han, Hee-Seok Kim, Ju-Y
    Diabetes & Metabolism Journal.2022; 46(6): 855.     CrossRef
  • Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes Therapy.2021; 12(1): 171.     CrossRef
  • Lobeglitazone: A Novel Thiazolidinedione for the Management of Type 2 Diabetes Mellitus
    Jaehyun Bae, Taegyun Park, Hyeyoung Kim, Minyoung Lee, Bong-Soo Cha
    Diabetes & Metabolism Journal.2021; 45(3): 326.     CrossRef
  • Effect of lobeglitazone on motor function in rat model of Parkinson’s disease with diabetes co-morbidity
    Kambiz Hassanzadeh, Arman Rahimmi, Mohammad Raman Moloudi, Rita Maccarone, Massimo Corbo, Esmael Izadpanah, Marco Feligioni
    Brain Research Bulletin.2021; 173: 184.     CrossRef
  • Recent Perspective on Thiazolidinedione
    Won Jun Kim
    The Journal of Korean Diabetes.2021; 22(2): 97.     CrossRef
  • Use of in vitro bone models to screen for altered bone metabolism, osteopathies, and fracture healing: challenges of complex models
    Sabrina Ehnert, Helen Rinderknecht, Romina H. Aspera-Werz, Victor Häussling, Andreas K. Nussler
    Archives of Toxicology.2020; 94(12): 3937.     CrossRef
  • Update on: effects of anti-diabetic drugs on bone metabolism
    Guillaume Mabilleau, Béatrice Bouvard
    Expert Review of Endocrinology & Metabolism.2020; 15(6): 415.     CrossRef
  • The use of metformin, insulin, sulphonylureas, and thiazolidinediones and the risk of fracture: Systematic review and meta‐analysis of observational studies
    Khemayanto Hidayat, Xuan Du, Meng‐Jiao Wu, Bi‐Min Shi
    Obesity Reviews.2019; 20(10): 1494.     CrossRef
  • Diabetes pharmacotherapy and effects on the musculoskeletal system
    Evangelia Kalaitzoglou, John L. Fowlkes, Iuliana Popescu, Kathryn M. Thrailkill
    Diabetes/Metabolism Research and Reviews.2019;[Epub]     CrossRef
  • Morin Exerts Anti‐Arthritic Effects by Attenuating Synovial Angiogenesis via Activation of Peroxisome Proliferator Activated Receptor‐γ
    Mengfan Yue, Ni Zeng, Yufeng Xia, Zhifeng Wei, Yue Dai
    Molecular Nutrition & Food Research.2018;[Epub]     CrossRef
  • The effects of diabetes therapy on bone: A clinical perspective
    Karim G. Kheniser, Carmen M. Polanco Santos, Sangeeta R. Kashyap
    Journal of Diabetes and its Complications.2018; 32(7): 713.     CrossRef
  • Changes in the Bone Mineral Density of Femur Neck and Total Hip Over a 52-Week Treatment with Lobeglitazone
    Da Young Lee, Ji A Seo
    Diabetes & Metabolism Journal.2017; 41(5): 374.     CrossRef
Clinical Care/Education
Comparison of Antidiabetic Regimens in Patients with Type 2 Diabetes Uncontrolled by Combination Therapy of Sulfonylurea and Metformin: Results of the MOHAS Disease Registry in Korea
Sung Hee Choi, Tae Jung Oh, Hak Chul Jang
Diabetes Metab J. 2017;41(3):170-178.   Published online May 11, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.3.170
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AbstractAbstract PDFPubReader   
Background

The aim of this study was to investigate the glucose-lowering efficacy of antidiabetic treatments in patients with type 2 diabetes mellitus (T2DM) uncontrolled by sulfonylurea plus metformin.

Methods

This open-label, multicenter, prospective, observational study was conducted in 144 centers in Korea, from June 2008 to July 2010, and included patients with T2DM who had received sulfonylurea and metformin for at least 3 months and had levels of glycosylated hemoglobin (HbA1c) >7.0% in the last month. Data of clinical and biochemical characteristics were collected at baseline and 6 months after treatment. The treatment option was decided at the physician's discretion. Subjects were classified into the following three groups: intensifying oral hypoglycemic agents (group A), adding basal insulin (group B), or starting intensified insulin therapy (group C).

Results

Of 2,995 patients enrolled, 2,901 patients were evaluated, and 504 (17.4%), 2,316 (79.8%), and 81 patients (2.8%) were classified into groups A, B, and C, respectively. Subjects in group C showed relatively higher baseline levels of HbA1c and longer duration of diabetes. The mean decrease in HbA1c level was higher in the insulin treated groups (−0.9%±1.3%, −1.6%±1.3%, and −2.4%±2.3% in groups A, B, and C, respectively, P=0.042). The proportion of patients who achieved target HbA1c <7.0% was comparable among the groups; however, intensified insulin therapy seemed to be the most effective in achieving the target HbA1c of 6.5%.

Conclusion

These findings suggest that insulin-based therapy will be an important option in the improved management of Korean patients with T2DM whose glycemic control is not sufficient with sulfonylurea and metformin.

Citations

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  • Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia
    Desye Gebrie, Tsegahun Manyazewal, Dawit A Ejigu, Eyasu Makonnen
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 3345.     CrossRef
  • Insulin Therapy for Adult Patients with Type 2 Diabetes Mellitus: A Position Statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu-Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2017; 41(5): 367.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Insulin therapy for adult patients with type 2 diabetes mellitus: a position statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    The Korean Journal of Internal Medicine.2017; 32(6): 967.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Insulin

    Reactions Weekly.2017; 1665(1): 159.     CrossRef
Epidemiology
Application of the 2013 American College of Cardiology/American Heart Association Cholesterol Guideline to the Korean National Health and Nutrition Examination Surveys from 1998 to 2012
Young Shin Song, Tae Jung Oh, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang, Kyong Soo Park, Soo Lim
Diabetes Metab J. 2017;41(1):38-50.   Published online December 16, 2016
DOI: https://doi.org/10.4093/dmj.2017.41.1.38
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

The 2013 American College of Cardiology/American Heart Association (ACC/AHA) guideline for the treatment of blood cholesterol recommends statin therapy for individuals at high risk of atherosclerotic cardiovascular disease (ASCVD). The aim of this study was to investigate serial trends in the percentages of Korean adults considered eligible for statin therapy according to the new ACC/AHA cholesterol guideline.

Methods

Data from the Korean National Health and Nutrition Examination Survey (KNHANES) I (1998, n=7,698), II (2001, n=5,654), III (2005, n=5,269), IV (2007 to 2009, n=15,727), and V (2010 to 2012, n=16,304), which used a stratified, multistage, probability sampling design, were used as representative of the entire Korean population.

Results

The percentage of adults eligible for statin therapy according to the ACC/AHA cholesterol guideline increased with time: 17.0%, 19.0%, 20.8%, 20.2%, and 22.0% in KNHANES I, II, III, IV, and V, respectively (P=0.022). The prevalence of ASCVD was 1.4% in KNHANES I and increased to 3.3% in KNHANES V. The percentage of diabetic patients aged 40 to 75 years with a low density lipoprotein cholesterol levels of 70 to 189 mg/dL increased from 4.8% in KNHANES I to 6.1% in KNHANES V. People with an estimated 10-year ASCVD risk ≥7.5% and aged 40 to 75 years accounted for the largest percentage among the four statin benefit groups: 9.1% in KNHANES I and 11.0% in KNHANES V.

Conclusion

Application of the 2013 ACC/AHA guideline has found that the percentage of Korean adults in the statin benefit groups has increased over the past 15 years.

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  • Sex differences in risk factors for subclinical hypothyroidism
    Jeonghoon Ha, Jeongmin Lee, Kwanhoon Jo, Dong-Jun Lim, Moo Il Kang, Bong Yun Cha, Min-Hee Kim
    Endocrine Connections.2018; 7(4): 511.     CrossRef
Clinical Care/Education
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
Eun Ky Kim, Soo Heon Kwak, Seungsu Baek, Seung Lyeol Lee, Hak Chul Jang, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2016;40(3):192-201.   Published online April 8, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.192
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AbstractAbstract PDFPubReader   
Background

We developed a patient-centered, smartphone-based, diabetes care system (PSDCS). This study aims to test the feasibility of glycosylated hemoglobin (HbA1c) reduction with the PSDCS.

Methods

This study was a single-arm pilot study. The participants with type 2 diabetes mellitus were instructed to use the PSDCS, which integrates a Bluetooth-connected glucometer, digital food diary, and wearable physical activity monitoring device. The primary end point was the change in HbA1c from baseline after a 12-week intervention.

Results

Twenty-nine patients aged 53.9±9.1 years completed the study. HbA1c and fasting plasma glucose levels decreased significantly from baseline (7.7%±0.7% to 7.1%±0.6%, P<0.0001; 140.9±39.1 to 120.1±31.0 mg/dL, P=0.0088, respectively). The frequency of glucose monitoring correlated with the magnitude of HbA1c reduction (r=–0.57, P=0.0013). The components of the diabetes self-care activities, including diet, exercise, and glucose monitoring, were significantly improved, particularly in the upper tertile of HbA1c reduction. There were no severe adverse events during the intervention.

Conclusion

A 12-week application of the PSDCS to patients with inadequately controlled type 2 diabetes resulted in a significant HbA1c reduction with tolerable safety profiles; these findings require confirmation in a future randomized controlled trial.

Citations

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  • Telehealth Technologies in Diabetes Self-management and Education
    Vidya Sharma, Marie Feldman, Ramaswamy Sharma
    Journal of Diabetes Science and Technology.2024; 18(1): 148.     CrossRef
  • Analysis and mapping the research landscape on patient‐centred care in the context of chronic disease management
    Waleed M. Sweileh
    Journal of Evaluation in Clinical Practice.2024; 30(4): 638.     CrossRef
  • Effects of a diabetes education program integrated with text-message support for lifestyle change among older individuals with type 2 diabetes in communities: a randomised controlled trial
    M. Hou, W.N. Qiu, H.L. Qi, H.X. Shao, J.M. Yu, H.Y. Bian
    Public Health.2024; 235: 152.     CrossRef
  • The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review
    Sergio Diez Alvarez, Antoni Fellas, Katie Wynne, Derek Santos, Dean Sculley, Shamasunder Acharya, Pooshan Navathe, Xavier Gironès, Andrea Coda
    JMIR mHealth and uHealth.2024; 12: e54826.     CrossRef
  • Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review
    Marie-Pierre Gagnon, Steven Ouellet, Eugène Attisso, Wilfried Supper, Samira Amil, Caroline Rhéaume, Jean-Sébastien Paquette, Christian Chabot, Marie-Claude Laferrière, Maxime Sasseville
    Interactive Journal of Medical Research.2024; 13: e55925.     CrossRef
  • App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy
    Helen N C Fu, Jean F Wyman, Cynthia J Peden-McAlpine, Claire Burke Draucker, Titus Schleyer, Terrence J Adam
    JMIR Diabetes.2023; 8: e38592.     CrossRef
  • The Clinical Impact of Flash Glucose Monitoring—a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review
    Sergio Diez Alvarez, Antoni Fellas, Derek Santos, Dean Sculley, Katie Wynne, Shamasunder Acharya, Pooshan Navathe, Xavier Girones, Andrea Coda
    JMIR Diabetes.2023; 8: e42389.     CrossRef
  • User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study
    Mary M Barker, Radhika Chauhan, Melanie J Davies, Christopher Brough, Alison Northern, Bernie Stribling, Sally Schreder, Kamlesh Khunti, Michelle Hadjiconstantinou
    JMIR Diabetes.2023; 8: e44943.     CrossRef
  • New Digital Health Technologies for Insulin Initiation and Optimization for People With Type 2 Diabetes
    David Kerr, Steven Edelman, Giacomo Vespasiani, Kamlesh Khunti
    Endocrine Practice.2022; 28(8): 811.     CrossRef
  • Effects of Patient-Driven Lifestyle Modification Using Intermittently Scanned Continuous Glucose Monitoring in Patients With Type 2 Diabetes: Results From the Randomized Open-label PDF Study
    Hun Jee Choe, Eun-Jung Rhee, Jong Chul Won, Kyong Soo Park, Won-Young Lee, Young Min Cho
    Diabetes Care.2022; 45(10): 2224.     CrossRef
  • Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature
    Ghada AlSwayied, Haoyue Guo, Tasmin Rookes, Rachael Frost, Fiona L Hamilton
    JMIR mHealth and uHealth.2022; 10(12): e40271.     CrossRef
  • Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review
    Jessica R Forsyth, Hannah Chase, Nia W Roberts, Laura C Armitage, Andrew J Farmer
    JMIR Diabetes.2021; 6(1): e23687.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • Self-Care IoT Platform for Diabetic Mellitus
    Jai-Chang Park, Seongbeom Kim, Je-Hoon Lee
    Applied Sciences.2021; 11(5): 2006.     CrossRef
  • Diabetes clinic reinvented: will technology change the future of diabetes care?
    Marwa Al-Badri, Osama Hamdy
    Therapeutic Advances in Endocrinology and Metabolism.2021;[Epub]     CrossRef
  • Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature
    Julia Vázquez-de Sebastián, Andreea Ciudin, Carmina Castellano-Tejedor
    Journal of Clinical Medicine.2021; 10(12): 2701.     CrossRef
  • Therapeutic Exercise Platform for Type-2 Diabetic Mellitus
    Je-Hoon Lee, Jai-Chang Park, Seong-Beom Kim
    Electronics.2021; 10(15): 1820.     CrossRef
  • Accuracy comparison study of new smartphone-based semen analyzer versus laboratory sperm quality analyzer
    Min Jung Park, Mi Young Lim, Hyun Jun Park, Nam Cheol Park
    Investigative and Clinical Urology.2021; 62(6): 672.     CrossRef
  • User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study
    Mary D Adu, Usman H Malabu, Aduli EO Malau-Aduli, Aaron Drovandi, Bunmi S Malau-Aduli
    JMIR mHealth and uHealth.2020; 8(6): e17802.     CrossRef
  • The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam
    Hyang Yuol Lee, Ju Young Kim, Ki Young Na, Hwa Yeon Park, Jinah Han, Yuliya Pak, Bola Nam, Chae Hyun Pae, Jisun Lee, Tae Ho Lim, Donghun Lee
    Journal of Telemedicine and Telecare.2019; 25(4): 241.     CrossRef
  • The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks
    Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Bo Kyung Koo, Min Kyong Moon, Soo Lim, Hak Chul Jang, Kyong Soo Park, Young Min Cho
    Diabetes Care.2019; 42(1): 3.     CrossRef
  • Patient-Driven Diabetes Care of the Future in the Technology Era
    Sahar Ashrafzadeh, Osama Hamdy
    Cell Metabolism.2019; 29(3): 564.     CrossRef
  • Peripartum Management of Gestational Diabetes Using a Digital Health Care Service: A Pilot, Randomized Controlled Study
    Ji-Hee Sung, Da Young Lee, Kyoung Pil Min, Cheol-Young Park
    Clinical Therapeutics.2019; 41(11): 2426.     CrossRef
  • The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis
    Cosette Fakih El Khoury, Mirey Karavetian, Ruud J.G. Halfens, Rik Crutzen, Lama Khoja, Jos M.G.A. Schols
    Journal of the Academy of Nutrition and Dietetics.2019; 119(4): 626.     CrossRef
  • Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals
    Ericles Andrei Bellei, Daiana Biduski, Nathália Pinto Cechetti, Ana Carolina Bertoletti De Marchi
    Telemedicine and e-Health.2018; 24(11): 839.     CrossRef
  • Multifunctional Wearable System that Integrates Sweat‐Based Sensing and Vital‐Sign Monitoring to Estimate Pre‐/Post‐Exercise Glucose Levels
    Yongseok Joseph Hong, Hyunjae Lee, Jaemin Kim, Minha Lee, Hyung Jin Choi, Taeghwan Hyeon, Dae‐Hyeong Kim
    Advanced Functional Materials.2018;[Epub]     CrossRef
  • Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review
    Ben YB Kim, Joon Lee
    JMIR mHealth and uHealth.2017; 5(5): e69.     CrossRef
  • Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review
    Helen Fu, Siobhan K. McMahon, Cynthia R. Gross, Terrence J. Adam, Jean F. Wyman
    Diabetes Research and Clinical Practice.2017; 131: 70.     CrossRef
  • Novel device for male infertility screening with single-ball lens microscope and smartphone
    Yoshitomo Kobori, Peter Pfanner, Gail S. Prins, Craig Niederberger
    Fertility and Sterility.2016; 106(3): 574.     CrossRef
Clinical Care/Education
Sarcopenia, Frailty, and Diabetes in Older Adults
Hak Chul Jang
Diabetes Metab J. 2016;40(3):182-189.   Published online April 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.182
  • 7,918 View
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AbstractAbstract PDFPubReader   

Populations are aging and the prevalence of diabetes mellitus is increasing tremendously. The number of older people with diabetes is increasing unexpectedly. Aging and diabetes are both risk factors for functional disability. Thus, increasing numbers of frail or disabled older patients with diabetes will increase both direct and indirect health-related costs. Diabetes has been reported as an important risk factor of developing physical disability in older adults. Older people with diabetes have lower muscle mass and weaker muscle strength. In addition, muscle quality is poorer in diabetic patients. Sarcopenia and frailty have a common soil and may share a similar pathway for multiple pathologic processes in older people. Sarcopenia is thought to be an intermediate step in the development of frailty in patients with diabetes. Thus, early detection of sarcopenia and frailty in older adults with diabetes should be routine clinical practice to prevent frailty or to intervene earlier in frail patients.

Citations

Citations to this article as recorded by  
  • Risk Factors for Frailty in Iranian Older Adult Outpatients: a Cross-Sectional Study
    Fatemeh Sadat Mirzadeh, Monireh Khanzadeh, Mahtab Alizadeh-Khoei
    Ageing International.2025;[Epub]     CrossRef
  • Prevalence of frailty in senile osteoporosis: A systematic review and meta-analysis
    Yidie Hu, Huiqiong Xu, Wenting Ji, Jing Yang, Hang Li, Kexin Li, Li Zhang, Chaoming Hou, Jing Gao
    Archives of Gerontology and Geriatrics.2025; 130: 105718.     CrossRef
  • Frailty and comorbidity in older adults with and without diabetes and chronic leg ulcer: A cross‐sectional study
    Burcu Duluklu, John Ivory, Aideen McElvaney, Angela Bligh, Marion Cahill‐Collins, Georgina Gethin, Aaron Liew, Duygu Sezgin
    International Wound Journal.2025;[Epub]     CrossRef
  • Glycemic control and prescription profiles in internal medicine inpatients: The role of frailty
    Jose Carlos Arévalo Lorido, Juana Carretero Gomez, Patricia Vazquez Rodriguez, Ricardo Gómez Huelgas, Carmen Marín Silvente, Fernando Javier Sánchez Lora, Elena Isaba Ares, Anna Pardo i Pelegrín, Onán Pérez Hernández, Javier Ena
    European Journal of Internal Medicine.2024; 121: 103.     CrossRef
  • Prolonged hospitalization and 1-year mortality are associated with sarcopenia and malnutrition in older patients with type 2 diabetes: A prospective cohort study
    Mileni Vanti Beretta, Tatiana Pedroso de Paula, Ticiana da Costa Rodrigues, Thais Steemburgo
    Diabetes Research and Clinical Practice.2024; 207: 111063.     CrossRef
  • The role of genes and myokines of developing sarcopenia: A review
    Farida V. Valeeva, Zhanna A. Rodygina, Tatyana S. Yilmaz
    Consilium Medicum.2024; 26(4): 219.     CrossRef
  • Effect of Frailty on Depression among Patients with Late-life Depression: A Test of Anger, Anxiety, and Resilience as Mediators
    Junhyung Kim, Hyun-Ghang Jeong, Moon-Soo Lee, Chi-Un Pae, Ashwin A. Patkar, Sang Won Jeon, Cheolmin Shin, Changsu Han
    Clinical Psychopharmacology and Neuroscience.2024; 22(2): 253.     CrossRef
  • Relationship Between Frailty and Diabetic Pharmacologic Therapy in Older Adults with Type 2 Diabetes: A Cross-Sectional Study
    Akiko Nishimura, Chie Masuda, Chiyo Murauchi, Miho Ishii, Yuko Murata, Terumi Kawasaki, Mayumi Azuma, Shin-ichi Harashima
    Drugs & Aging.2024; 41(6): 531.     CrossRef
  • Association between sarcopenia and frailty in middle-aged and elder population: Findings from the China health and retirement longitudinal study
    Yue Dong, Yuzhi Xi, Yahui Wang, Zhijun Chai
    Journal of Global Health.2024;[Epub]     CrossRef
  • Muscle mass dynamics is independently associated with long-term liver-related mortality in patients with cirrhosis
    Jiarui Zheng, Shuo Yang, Wenhui Ren, Juan Zhong, Xin Liu, Rui Han, Tingyang Wei, Changjie Tie, Yuteng Yang, Chengwu Hong, Bo Feng, Rui Huang
    Heliyon.2024; 10(15): e35354.     CrossRef
  • Advances in Cognitive Decline in Elderly Patients with Diabetes Mellitus
    媛媛 冯
    Advances in Clinical Medicine.2024; 14(08): 1588.     CrossRef
  • Urgent needs of caregiving in ageing populations with Alzheimer’s disease and other chronic conditions: Support our loved ones
    John W. Culberson, Jonathan Kopel, Ujala Sehar, P. Hemachandra Reddy
    Ageing Research Reviews.2023; 90: 102001.     CrossRef
  • Hand grip strength: A reliable assessment tool of frailty status on the person with type 2 diabetes mellitus
    Diogo Ramalho, Leonor Silva, Catarina Almeida, Luís Rocha, Gustavo Rocha, Rafaela Veríssimo
    Nutrition Clinique et Métabolisme.2023; 37(1): 45.     CrossRef
  • Comprehensive review: Frailty in pancreas transplant candidates and recipients
    Ronald F. Parsons, Ekamol Tantisattamo, Wisit Cheungpasitporn, Arpita Basu, Yee Lu, Krista L. Lentine, Kenneth J. Woodside, Neeraj Singh, Joseph Scalea, Tarek Alhamad, Ty B. Dunn, Franco H. Cabeza Rivera, Sandesh Parajuli, Martha Pavlakis, Matthew Cooper
    Clinical Transplantation.2023;[Epub]     CrossRef
  • Development and validation of a risk prediction model for frailty in patients with diabetes
    Fan Bu, Xiao-hui Deng, Na-ni Zhan, Hongtao Cheng, Zi-lin Wang, Li Tang, Yu Zhao, Qi-yuan Lyu
    BMC Geriatrics.2023;[Epub]     CrossRef
  • Amino Acid Profiles in Older Adults with Frailty: Secondary Analysis from MetaboFrail and BIOSPHERE Studies
    Riccardo Calvani, Anna Picca, Leocadio Rodriguez-Mañas, Matteo Tosato, Hélio José Coelho-Júnior, Alessandra Biancolillo, Olga Laosa, Jacopo Gervasoni, Aniello Primiano, Lavinia Santucci, Ottavia Giampaoli, Isabelle Bourdel-Marchasson, Sophie C. Regueme, A
    Metabolites.2023; 13(4): 542.     CrossRef
  • Where to Start? Physical Assessment, Readiness, and Exercise Recommendations for People With Type 1 or Type 2 Diabetes
    Marni Armstrong, Sheri R. Colberg, Ronald J. Sigal
    Diabetes Spectrum.2023; 36(2): 105.     CrossRef
  • The Association Between Sarcopenia and Diabetes: From Pathophysiology Mechanism to Therapeutic Strategy
    Huiling Chen, Xiaojing Huang, Meiyuan Dong, Song Wen, Ligang Zhou, Xinlu Yuan
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 1541.     CrossRef
  • Analysis of Individual Components of Frailty in Simultaneous Pancreas and Kidney, and Solitary Pancreas Transplant Recipients
    Sandesh Parajuli, Jon Odorico, Isabel Breyer, Emily Zona, Fahad Aziz, Heather Lorden, Jacqueline Garonzik-Wang, Dixon Kaufman, Didier Mandelbrot
    Transplantation Direct.2023; 9(9): e1523.     CrossRef
  • Effects of moderate exercise versus light exercise on fasting blood glucose in obese patients with type 2 diabetes mellitus
    Manal Kamel Youssef
    Physiotherapy Quarterly.2023; 31(3): 101.     CrossRef
  • Risk factors associated with frailty in older adults with type 2 diabetes: A cross‐sectional study
    Chia‐Ling Lin, Neng‐Chun Yu, Hsueh‐Ching Wu, Yuan‐Ching Liu
    Journal of Clinical Nursing.2022; 31(7-8): 967.     CrossRef
  • Sarcopenia in patients with multiple sclerosis
    Hatice Yuksel, Mehtap Balaban, Ozlem Ozturk Tan, Semra Mungan
    Multiple Sclerosis and Related Disorders.2022; 58: 103471.     CrossRef
  • Amino acid profile of skeletal muscle loss in type 2 diabetes: Results from a 7-year longitudinal study in asians
    Serena Low, Jiexun Wang, Angela Moh, Su Fen Ang, Keven Ang, Yi-Ming Shao, Jianhong Ching, Hai Ning Wee, Lye Siang Lee, Jean-Paul Kovalik, Wern Ee Tang, Ziliang Lim, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim
    Diabetes Research and Clinical Practice.2022; 186: 109803.     CrossRef
  • Assessment of Muscle Quantity, Quality and Function
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2022; 31(1): 9.     CrossRef
  • Sarcopenia is associated with cardiovascular risk in men with COPD, independent of adiposity
    Ah Young Leem, Young Sam Kim, Kung Soo Chung, Moo Suk Park, Young Ae Kang, Young-Mok Park, Ji Ye Jung
    Respiratory Research.2022;[Epub]     CrossRef
  • Decline in skeletal muscle mass is associated with cognitive decline in type 2 diabetes mellitus
    Serena Low, Kiat Sern Goh, Tze Pin Ng, Angela Moh, Su Fen Ang, Jonathon Khoo, Keven Ang, Philip Yap, Chin Yee Cheong, Wern Ee Tang, Ziliang Lim, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim
    Journal of Diabetes and its Complications.2022; 36(9): 108258.     CrossRef
  • Frailty and diabetes in older adults: Overview of current controversies and challenges in clinical practice
    Mohd Zaquan Arif Abd.Ghafar, Mark O’Donovan, Duygu Sezgin, Elizabeth Moloney, Ángel Rodríguez-Laso, Aaron Liew, Rónán O’Caoimh
    Frontiers in Clinical Diabetes and Healthcare.2022;[Epub]     CrossRef
  • Implications of the Metabolic Control of Diabetes in Patients with Frailty Syndrome
    Marta Muszalik, Hubert Stępień, Grażyna Puto, Mateusz Cybulski, Donata Kurpas
    International Journal of Environmental Research and Public Health.2022; 19(16): 10327.     CrossRef
  • Protective Effect of Delta-Like 1 Homolog Against Muscular Atrophy in a Mouse Model
    Ji Young Lee, Minyoung Lee, Dong-Hee Lee, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha
    Endocrinology and Metabolism.2022; 37(4): 684.     CrossRef
  • Diabetes and osteoporosis – Treating two entities: A challenge or cause for concern?
    Nicklas H. Rasmussen, Peter Vestergaard
    Best Practice & Research Clinical Rheumatology.2022; 36(3): 101779.     CrossRef
  • Predictors associated with prefrailty in older Taiwanese individuals with type 2 diabetes
    Shu-Fen Lee, Chih-Ping Li, Yen-Lin Chen, Dee Pei
    Medicine.2022; 101(38): e30432.     CrossRef
  • Association of walking speed with cognitive function in Chinese older adults: A nationally representative cohort study
    Jianping Liu, Kaiwang Cui, Qian Chen, Zhiteng Li, Jing Fu, Xiangwen Gong, Hui Xu
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • Lower insulin level is associated with sarcopenia in community-dwelling frail and non-frail older adults
    Yanxia Lu, Wee Shiong Lim, Xia Jin, Ma Schwe Zin Nyunt, Tamas Fulop, Qi Gao, Su Chi Lim, Anis Larbi, Tze Pin Ng
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Weight-adjusted waist index reflects fat and muscle mass in the opposite direction in older adults
    Nam Hoon Kim, Yousung Park, Nan Hee Kim, Sin Gon Kim
    Age and Ageing.2021; 50(3): 780.     CrossRef
  • Examining the links between regular leisure‐time physical activity, sitting time and prefrailty in community‐dwelling older adults
    Shu‐Hung Chang, Nai‐Hui Chien, Jackson Pui‐Man Wai, Ching‐Cheng Chiang, Ching‐Yi Yu
    Journal of Advanced Nursing.2021; 77(6): 2761.     CrossRef
  • Tale of the Frail: Understanding Frailty in Cirrhosis
    Faruq Pradhan, Natasha Narang, Michael Fallon
    Southern Medical Journal.2021; 114(3): 186.     CrossRef
  • Type 2 diabetes mellitus in older adults: clinical considerations and management
    Srikanth Bellary, Ioannis Kyrou, James E. Brown, Clifford J. Bailey
    Nature Reviews Endocrinology.2021; 17(9): 534.     CrossRef
  • Low Protein Intakes and Poor Diet Quality Associate with Functional Limitations in US Adults with Diabetes: A 2005–2016 NHANES Analysis
    Stephanie M. Fanelli, Owen J. Kelly, Jessica L. Krok-Schoen, Christopher A. Taylor
    Nutrients.2021; 13(8): 2582.     CrossRef
  • Yaşlı Diyabetik Hastalarda Malnutrisyonun Klinik Sonuçları ve Önemi
    Saadet KOÇ OKUDUR, Pinar SOYSAL
    OSMANGAZİ JOURNAL OF MEDICINE.2021;[Epub]     CrossRef
  • Combined Aerobic and Resistance Exercise Training Reduces Circulating Apolipoprotein J Levels and Improves Insulin Resistance in Postmenopausal Diabetic Women
    Yun Kyung Jeon, Sang Soo Kim, Jong Ho Kim, Hyun Jeong Kim, Hyun Jun Kim, Jang Jun Park, Yuen Suk Cho, So Hee Joung, Ji Ryang Kim, Bo Hyun Kim, Sang Heon Song, In Joo Kim, Yong Ki Kim, Young-Bum Kim
    Diabetes & Metabolism Journal.2020; 44(1): 103.     CrossRef
  • Effects of elastic band exercise on the frailty states in pre-frail elderly people
    Rujie Chen, Qingwen Wu, Dongyan Wang, Zhou Li, Howe Liu, Guangtian Liu, Ying Cui, Linlin Song
    Physiotherapy Theory and Practice.2020; 36(9): 1000.     CrossRef
  • Association between Lower Extremity Skeletal Muscle Mass and Impaired Cognitive Function in Type 2 Diabetes
    Serena Low, Tze Pin Ng, Chin Leong Lim, Angela Moh, Su Fen Ang, Jiexun Wang, Kiat Sern Goh, Keven Ang, Wern Ee Tang, Pek Yee Kwan, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim
    Scientific Reports.2020;[Epub]     CrossRef
  • Low free triiodothyronine levels are associated with risk of frailty in older adults with type 2 diabetes mellitus
    Shuangling Xiu, Zhijing Mu, Lei Zhao, Lina Sun
    Experimental Gerontology.2020; 138: 111013.     CrossRef
  • The Biomechanics of Diabetes Mellitus and Limb Preservation
    Jonathan M. Labovitz, Dana Day
    Clinics in Podiatric Medicine and Surgery.2020; 37(1): 151.     CrossRef
  • Inorganic Arsenic Exposure Decreases Muscle Mass and Enhances Denervation-Induced Muscle Atrophy in Mice
    Chang-Mu Chen, Min-Ni Chung, Chen-Yuan Chiu, Shing-Hwa Liu, Kuo-Cheng Lan
    Molecules.2020; 25(13): 3057.     CrossRef
  • Physical Exercise and Myokines: Relationships with Sarcopenia and Cardiovascular Complications
    Sandra Maria Barbalho, Uri Adrian Prync Flato, Ricardo José Tofano, Ricardo de Alvares Goulart, Elen Landgraf Guiguer, Cláudia Rucco P. Detregiachi, Daniela Vieira Buchaim, Adriano Cressoni Araújo, Rogério Leone Buchaim, Fábio Tadeu Rodrigues Reina, Piero
    International Journal of Molecular Sciences.2020; 21(10): 3607.     CrossRef
  • The relationships between sarcopenic skeletal muscle loss during ageing and macronutrient metabolism, obesity and onset of diabetes
    Ailsa A. Welch, Richard P. G. Hayhoe, Donnie Cameron
    Proceedings of the Nutrition Society.2020; 79(1): 158.     CrossRef
  • Effects of low skeletal muscle mass and sarcopenic obesity on albuminuria: a 7-year longitudinal study
    Jee Hee Yoo, Gyuri Kim, Sung Woon Park, Min Sun Choi, Jiyeon Ahn, Sang-Man Jin, Kyu Yeon Hur, Moon-Kyu Lee, Mira Kang, Jae Hyeon Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Sarcopenia, nutritional status and type 2 diabetes mellitus: A cross‐sectional study in a group of Mexican women residing in a nursing home
    María C. Velázquez‐Alva, María E. Irigoyen‐Camacho, Marco A. Zepeda‐Zepeda, Irina Lazarevich, Isabel Arrieta‐Cruz, Carlos D'Hyver
    Nutrition & Dietetics.2020; 77(5): 515.     CrossRef
  • Assessing the association between optimal energy intake and all‐cause mortality in older patients with diabetes mellitus using the Japanese Elderly Diabetes Intervention Trial
    Takuya Omura, Yoshiaki Tamura, Takuya Yamaoka, Yukio Yoshimura, Takashi Sakurai, Hiroyuki Umegaki, Chiemi Kamada, Satoshi Iimuro, Yasuo Ohashi, Hideki Ito, Atsushi Araki
    Geriatrics & Gerontology International.2020; 20(1): 59.     CrossRef
  • Sarkopenie im Kontext von Insulinresistenz und Diabetes mellitus im Alter – Daten aus der Berliner Altersstudie II
    Dominik Spira, Nikolaus Buchmann, Knut Mai, Thomas Bobbert, Joachim Spranger, Ilja Demuth, Elisabeth Steinhagen-Thiessen
    Diabetologie und Stoffwechsel.2020; 15(05): 400.     CrossRef
  • Effect of Dietary Silk Peptide on Obesity, Hyperglycemia, and Skeletal Muscle Regeneration in High-Fat Diet-Fed Mice
    Kippeum Lee, Heegu Jin, Sungwoo Chei, Hyun-Ji Oh, Jeong-Yong Lee, Boo-Yong Lee
    Cells.2020; 9(2): 377.     CrossRef
  • Nutrition Management in Older Adults with Diabetes: A Review on the Importance of Shifting Prevention Strategies from Metabolic Syndrome to Frailty
    Yoshiaki Tamura, Takuya Omura, Kenji Toyoshima, Atsushi Araki
    Nutrients.2020; 12(11): 3367.     CrossRef
  • Mechanical Properties of Single Muscle Fibers: Understanding Poor Muscle Quality in Older Adults with Diabetes
    Eun-Jeong Lee, Hak Chul Jang, Kyung-Hoi Koo, Hye-Young Kim, Jae-Young Lim
    Annals of Geriatric Medicine and Research.2020; 24(4): 267.     CrossRef
  • Mortality is not increased with Diabetes in hospitalised very old adults: a multi-site review
    Peter Smerdely
    BMC Geriatrics.2020;[Epub]     CrossRef
  • Falls and Fractures in Diabetes—More than Bone Fragility
    Nicklas Højgaard Rasmussen, Jakob Dal
    Current Osteoporosis Reports.2019; 17(3): 147.     CrossRef
  • Measuring gait speed to better identify prodromal dementia
    Giulia Grande, Federico Triolo, Arturo Nuara, Anna-Karin Welmer, Laura Fratiglioni, Davide L. Vetrano
    Experimental Gerontology.2019; 124: 110625.     CrossRef
  • Diabetes and Muscle Dysfunction in Older Adults
    Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 160.     CrossRef
  • Association between sarcopenia and diabetes in community dwelling elderly in the Amazon region – Viver Mais Project
    Anelza Biene Farias Souza, David Anchieta Costa Nascimento, Isabella Juliana Manfredo Rodrigues, Cynthia Cillene Oliveira Charone, Geovanna Lemos Lopes, Rondinei Silva Lima, Ana Amália Sá, Thiago Xavier Carneiro, Niele Silva Moraes
    Archives of Gerontology and Geriatrics.2019; 83: 121.     CrossRef
  • Association between deterioration in muscle strength and peripheral neuropathy in people with diabetes
    Tae Jung Oh, Sunyoung Kang, Jie-Eun Lee, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Hak Chul Jang
    Journal of Diabetes and its Complications.2019; 33(8): 598.     CrossRef
  • Frailty and Disability in Diabetes
    Sol-Ji Yoon, Kwang-il Kim
    Annals of Geriatric Medicine and Research.2019; 23(4): 165.     CrossRef
  • Mechanisms Involved in Glycemic Control Promoted by Exercise in Diabetics
    Eric Francelino Andrade, Víviam de Oliveira Silva, Débora Ribeiro Orlando, Luciano José Pereira
    Current Diabetes Reviews.2019; 15(2): 105.     CrossRef
  • Response: The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity (J Obes Metab Syndr 2019;28:46-52)
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2019; 28(4): 297.     CrossRef
  • Diabetic Peripheral Neuropathy as a Risk Factor for Sarcopenia
    Tae Jung Oh, Yoojung Song, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 170.     CrossRef
  • Sarcopenia and hospital-related outcomes in the old people: a systematic review and meta-analysis
    Yunli Zhao, Yunxia Zhang, Qiukui Hao, Meiling Ge, Birong Dong
    Aging Clinical and Experimental Research.2019; 31(1): 5.     CrossRef
  • The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2019; 28(1): 46.     CrossRef
  • Sarcopenia in elderly patients with type 2 diabetes mellitus: prevalence and related clinical factors
    Yuko Murata, Yoshiki Kadoya, Shoichi Yamada, Tokio Sanke
    Diabetology International.2018; 9(2): 136.     CrossRef
  • Assessment of lower extremity muscle mass, muscle strength, and exercise therapy in elderly patients with diabetes mellitus
    Takuo Nomura, Toshihiro Kawae, Hiroaki Kataoka, Yukio Ikeda
    Environmental Health and Preventive Medicine.2018;[Epub]     CrossRef
  • Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine
    Willy Marcos Valencia, Diana Botros, Maria Vera-Nunez, Stuti Dang
    Current Diabetes Reports.2018;[Epub]     CrossRef
  • Psoas and paraspinous muscle index as a predictor of mortality in African American men with type 2 diabetes mellitus
    Mariana Murea, Leon Lenchik, Thomas C. Register, Gregory B. Russell, Jianzhao Xu, S. Carrie Smith, Donald W. Bowden, Jasmin Divers, Barry I. Freedman
    Journal of Diabetes and its Complications.2018; 32(6): 558.     CrossRef
  • Presence of Sarcopenia and Its Rate of Change Are Independently Associated with Long-term Mortality in Patients with Liver Cirrhosis
    Jae Yoon Jeong, Sanghyeok Lim, Joo Hyun Sohn, Jae Gon Lee, Dae Won Jun, Yongsoo Kim
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass
    Seo Young Lee, Soyeon Ahn, Young Ji Kim, Myoung Jin Ji, Kyoung Min Kim, Sung Hee Choi, Hak Chul Jang, Soo Lim
    Nutrients.2018; 10(6): 738.     CrossRef
  • The association of low muscle mass with soluble receptor for advanced glycation end products (sRAGE): The Korean Sarcopenic Obesity Study (KSOS)
    Tae Nyun Kim, Man Sik Park, Eun Joo Lee, Hye Soo Chung, Hye Jin Yoo, Hyun Joo Kang, Wook Song, Sei Hyun Baik, Kyung Mook Choi
    Diabetes/Metabolism Research and Reviews.2018;[Epub]     CrossRef
  • Obesity paradox on the survival of elderly patients with diabetes: an AHAP-based study
    Ali Bijani, Robert G. Cumming, Seyed-Reza Hosseini, Masoumeh Yazdanpour, Mahdis Rahimi, Abbas Sahebian, Reza Ghadimi
    Journal of Diabetes & Metabolic Disorders.2018; 17(1): 45.     CrossRef
  • Effects of Seahorse Supplementation on Muscle Mass, Exercise Performance Abilities and the Related Blood Factors in Healthy Elderly Women
    Bae-jin LEE, Chan-ho PARK, Byeong-Hwan JEON
    JOURNAL OF FISHRIES AND MARINE SCIENCES EDUCATION.2018; 30(2): 409.     CrossRef
  • Frailty risk in hospitalised older adults with and without diabetes mellitus
    Deborah A. Lekan, Thomas P. McCoy
    Journal of Clinical Nursing.2018; 27(19-20): 3510.     CrossRef
  • Sarcopenia
    А.А. Пальцын
    ZHurnal «Patologicheskaia fiziologiia i eksperimental`naia terapiia».2018; (2()): 113.     CrossRef
  • Prevention of Falls and Frailty in Older Adults with Diabetes
    Helen P. Hazuda, Sara E. Espinoza
    Current Geriatrics Reports.2017; 6(3): 158.     CrossRef
  • Patterns and Predictors of Frailty Transitions in Older Men: The Osteoporotic Fractures in Men Study
    Lauren R. Pollack, Stephanie Litwack‐Harrison, Peggy M. Cawthon, Kristine Ensrud, Nancy E. Lane, Elizabeth Barrett‐Connor, Thuy‐Tien Dam
    Journal of the American Geriatrics Society.2017; 65(11): 2473.     CrossRef
  • Diabetic Neuropathy and Gait: A Review
    Uazman Alam, David R. Riley, Ravinder S. Jugdey, Shazli Azmi, Satyan Rajbhandari, Kristiaan D’Août, Rayaz A. Malik
    Diabetes Therapy.2017; 8(6): 1253.     CrossRef
  • Care of older people with diabetes
    Trisha Dunning
    Nursing Standard.2017; 32(3): 50.     CrossRef
  • Decreased Muscle Strength and Quality in Diabetes-Related Dementia
    Akito Tsugawa, Yusuke Ogawa, Naoto Takenoshita, Yoshitsugu Kaneko, Hirokuni Hatanaka, Eriko Jaime, Raita Fukasawa, Haruo Hanyu
    Dementia and Geriatric Cognitive Disorders Extra.2017; 7(3): 454.     CrossRef
  • Aging of the endocrine system and its potential impact on sarcopenia
    Giovanni Vitale, Matteo Cesari, Daniela Mari
    European Journal of Internal Medicine.2016; 35: 10.     CrossRef
Response: Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging (Diabetes Metab J 2016;40:140-6)
Ji Won Yoon, Hak Chul Jang
Diabetes Metab J. 2016;40(3):250-251.   Published online June 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.250
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  • Risk Factors of Sarcopenia in COPD Patients: A Meta-Analysis
    Jingru Zhou, Yanjun Liu, Fang Yang, Meiling Jing, Xiaoli Zhong, Yanfen Wang, Yan Liu, Wenwen Ming, Huangyan Li, Tianxia Zhao, Lin He
    International Journal of Chronic Obstructive Pulmonary Disease.2024; Volume 19: 1613.     CrossRef
  • Muscle Quality in Older Adults: A Scoping Review
    Charles Phillipe de Lucena Alves, Samuel Brito de Almeida, Danielle Pessoa Lima, Pedro Braga Neto, Ana Lúcia Miranda, Todd Manini, Lara Vlietstra, Debra L. Waters, Renata Moraes Bielemann, Rosaly Correa-de-Araujo, Ana Paula Fayh, Eduardo Caldas Costa
    Journal of the American Medical Directors Association.2023; 24(4): 462.     CrossRef
  • Neuromuscular dysfunction and exercise training in people with diabetic peripheral neuropathy: A narrative review
    Giorgio Orlando, Stefano Balducci, Andrew J.M. Boulton, Hans Degens, Neil D. Reeves
    Diabetes Research and Clinical Practice.2022; 183: 109183.     CrossRef
  • DPP4 inhibitors as a potential therapeutic option for sarcopenia: A 6-month follow-up study in diabetic older patients
    Canberk Sencan, Fatma Sena Dost, Esra Ates Bulut, Ahmet Turan Isik
    Experimental Gerontology.2022; 164: 111832.     CrossRef
  • Níveis glicêmicos e sarcopenia em idosos com diabetes mellitus do tipo 2
    Isabella Stoeterau, Deise Regina Baptista, Andrea Pires Muller, Juliana Ceronato, Magda Rosa Ramos da Cruz, Carla Viana Dendasck
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2022; : 53.     CrossRef
Clinical Care/Education
Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging
Ji Won Yoon, Yong-Chan Ha, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Young Joo Park, Jae Young Lim, Ki Woong Kim, Kyong Soo Park, Hak Chul Jang
Diabetes Metab J. 2016;40(2):140-146.   Published online March 31, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.2.140
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AbstractAbstract PDFPubReader   
Background

The study aimed to investigate the influence of hyperglycemia on muscle quality in older men with type 2 diabetes.

Methods

This was a subsidiary study of the Korean Longitudinal Study of Health and Aging. Among 326 older men consenting to tests of body composition and muscle strength, 269 men were ultimately analyzed after the exclusion because of stroke (n=30) and uncertainty about the diagnosis of diabetes (n=27). Body composition was measured using dual-energy X-ray absorptiometry and computed tomography. Muscle strength for knee extension was measured using an isokinetic dynamometer. Muscle quality was assessed from the ratio of leg strength to the entire corresponding leg muscle mass.

Results

The muscle mass, strength, and quality in patients with type 2 diabetes did not differ significantly from controls. However, when patients with diabetes were subdivided according to their glycemic control status, patients with a glycosylated hemoglobin (HbA1c) level of ≥8.5% showed significantly decreased leg muscle quality by multivariate analysis (odds ratio, 4.510; P=0.045) after adjustment for age, body mass index, smoking amount, alcohol consumption, physical activity, and duration of diabetes. Physical performance status was also impaired in subjects with an HbA1c of ≥8.5%.

Conclusion

Poor glycemic control in these older patients with diabetes was associated with significant risk of decreased muscle quality and performance status. Glycemic control with an HbA1c of <8.5% might be needed to reduce the risk of adverse skeletal and functional outcomes in this population.

Citations

Citations to this article as recorded by  
  • Muscle regeneration and muscle stem cells in metabolic disease
    Jin D. Chung, Enzo R. Porrello, Gordon S. Lynch
    Free Radical Biology and Medicine.2025; 227: 52.     CrossRef
  • Blood Biomarker Signatures for Slow Gait Speed in Older Adults: An Explainable Machine Learning Approach
    Evrim Gökçe, Thomas Freret, Antoine Langeard
    Brain, Behavior, and Immunity.2025; 124: 295.     CrossRef
  • Clinical outcomes of multidimensional association of type 2 diabetes mellitus, COVID-19 and sarcopenia: an algorithm and scoping systematic evaluation
    Anmar Al-Taie, Oritsetimeyin Arueyingho, Jalal Khoshnaw, Abdul Hafeez
    Archives of Physiology and Biochemistry.2024; 130(3): 342.     CrossRef
  • Downhill running and caloric restriction attenuate insulin resistance associated skeletal muscle atrophy via the promotion of M2-like macrophages through TRIB3-AKT pathway
    Wei Luo, Yue Zhou, Qiang Tang, Yuhang Wang, Yansong Liu, Lei Ai
    Free Radical Biology and Medicine.2024; 210: 271.     CrossRef
  • Diabetic Sarcopenia. A proposed muscle screening protocol in people with diabetes
    Daniel de Luis Román, Juana Carretero Gómez, José Manuel García-Almeida, Fernando Garrachón Vallo, German Guzmán Rolo, Juan José López Gómez, Francisco José Tarazona-Santabalbina, Alejandro Sanz-Paris
    Reviews in Endocrine and Metabolic Disorders.2024; 25(4): 651.     CrossRef
  • Dynapenia and sarcopenia: association with the diagnosis, duration and complication of type 2 diabetes mellitus in ELSA-Brasil
    Débora Noara Duarte dos Santos, Carolina Gomes Coelho, Maria de Fátima Haueisen Sander Diniz, Bruce Bartholow Duncan, Maria Inês Schmidt, Isabela Judith Martins Bensenor, Claudia Szlejf, Rosa Weiss Telles, Sandhi Maria Barreto
    Cadernos de Saúde Pública.2024;[Epub]     CrossRef
  • Breaking Down Cachexia: A Narrative Review on the Prevalence of Cachexia in Cancer Patients and Its Associated Risk Factors
    Mahmathi Karuppannan, Fares M. S. Muthanna, Fazlin Mohd Fauzi
    Nutrition and Cancer.2024; 76(5): 404.     CrossRef
  • Mechanism of muscle atrophy in a normal-weight rat model of type 2 diabetes established by using a soft-pellet diet
    Sayaka Akieda-Asai, Hao Ma, Wanxin Han, Junko Nagata, Fumitake Yamaguchi, Yukari Date
    Scientific Reports.2024;[Epub]     CrossRef
  • Prediabetes and diabetes were attributed to the prevalence and severity of sarcopenia in middle-aged and elderly adults
    Jing Yuan, Pu Jia
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Utilize multi-metabolic parameters as determinants for prediction of skeletal muscle mass quality in elderly type2 diabetic Chinese patients
    Huiling Chen, Jingjing Lou, Meiyuan Dong, Xintao Liu, Shijie Yan, Song Wen, Ligang Zhou, Xingdang Liu, Xinlu Yuan
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Relationship of endogenous plasma concentrations of β-hydroxy β-methyl butyrate (HMB) with frailty in community dwelling older adults with type-2 diabetes mellitus
    Alejandro Álvarez-Bustos, Jose A. Carnicero, Ricardo Rueda, Suzette L. Pereira, Angela Santos-Fandila, Jose M. López-Pedrosa, Begoña Molina-Baena, Francisco José García-García, Leocadio Rodríguez-Mañas
    The Journal of nutrition, health and aging.2024; 28(6): 100229.     CrossRef
  • Risk factors and adverse outcomes of hypoglycemia in older patients with type 2 diabetes mellitus (review)
    S. V. Bulgakova, P. Ya. Merzlova, D. P. Kurmaev, E. V. Treneva
    Russian Journal of Geriatric Medicine.2024; (1): 30.     CrossRef
  • Development of a prediction model for frailty among older Chinese individuals with type 2 diabetes residing in the community
    Jin Du, Di Zhang, Yurong Chen, Weihong Zhang
    Public Health Nursing.2024; 41(6): 1271.     CrossRef
  • Association between relative muscle strength and cardiovascular disease among middle-aged and older adults in China
    Jin-jin Ji, Meng-jie Zhao, Meng-li Xiao, Hui-e Zhang, Qin Tan, Yu-rong Cheng, Fang Lu
    BMC Public Health.2024;[Epub]     CrossRef
  • Adipose tissue in older individuals: a contributing factor to sarcopenia
    Tiantian Wang, Dong Zhou, Zhen Hong
    Metabolism.2024; 160: 155998.     CrossRef
  • Prevalence and risk factors of osteosarcopenia in elderly patients with uncontrolled type 2 diabetes
    Tingying Xiao, Shiyue Zou, Ting Luo, Jing Lai, Jixiang Ying, Min Lin
    Endocrine.2024;[Epub]     CrossRef
  • Whey Protein Supplementation in Older Adults With Type 2 Diabetes Undergoing a Resistance Training Program: A Double-Blind Randomized Controlled Trial
    Celine de Carvalho Furtado, Giovana Jamar, Alan Carlos Brisola Barbosa, Victor Zuniga Dourado, José Reinaldo do Nascimento, Glaucia Cristina Antunes Ferraz de Oliveira, Edgar Matias Bach Hi, Thiago de Arruda Souza, Maria José Gonzalez Parada, Felipe Grana
    Journal of Aging and Physical Activity.2024; : 1.     CrossRef
  • The mitochondrial mRNA-stabilizing protein SLIRP regulates skeletal muscle mitochondrial structure and respiration by exercise-recoverable mechanisms
    Tang Cam Phung Pham, Steffen Henning Raun, Essi Havula, Carlos Henriquez-Olguín, Diana Rubalcava-Gracia, Emma Frank, Andreas Mæchel Fritzen, Paulo R. Jannig, Nicoline Resen Andersen, Rikke Kruse, Mona Sadek Ali, Andrea Irazoki, Jens Frey Halling, Stine Ri
    Nature Communications.2024;[Epub]     CrossRef
  • The Association Between Time in Range %, Measured by Continuous Glucose Monitoring (CGM) and Physical Health Agility Status Indices Amongst Older People with T2D: A Cross-Sectional Study
    Yamit Basson-Shleymovich, Tal Yahalom-Peri, Michal Azmon, Tali Cukierman-Yaffe
    Journal of Clinical Medicine.2024; 13(23): 7089.     CrossRef
  • Development and Validation of a Risk Prediction Model for Sarcopenia in Chinese Older Patients with Type 2 Diabetes Mellitus
    Xinming Wang, Shengnan Gao
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 4611.     CrossRef
  • Morphological and functional changes in skeletal muscle in type 2 diabetes mellitus: A systematic review and meta-analysis
    Jardeson Rocha Filgueiras, Cleudiane Pereira Sales, Ivanilson Gomes da Silva, Cristiana Maria Dos Santos, Elias de Carvalho Magalhães Neto, Rebeca Barbosa da Rocha, Vinicius Saura Cardoso
    Physiotherapy Theory and Practice.2023; 39(9): 1789.     CrossRef
  • Mechanisms underlying altered neuromuscular function in people with DPN
    Antonin Le Corre, Nathan Caron, Nicolas A. Turpin, Georges Dalleau
    European Journal of Applied Physiology.2023; 123(7): 1433.     CrossRef
  • Effects of body compositions on the associations between ferritin and diabetes parameters among Japanese community dwellers
    Kyi Mar Wai, Rei Akuzawa, Yoko Umeda, Wataru Munakata, Yoshiko Takahashi, Shigeyuki Nakaji, Kazushige Ihara
    Journal of Trace Elements in Medicine and Biology.2023; 78: 127174.     CrossRef
  • Effects of glycemic control on frailty: a multidimensional perspective
    Ahmed H Abdelhafiz
    Hospital Practice.2023; 51(3): 124.     CrossRef
  • Hand grip strength is inversely associated with total daily insulin dose requirement in patients with type 2 diabetes mellitus: a cross-sectional study
    Da-shuang Chen, Yun-qing Zhu, Wen-ji Ni, Yu-jiao Li, Guo-ping Yin, Zi-yue Shao, Jian Zhu
    PeerJ.2023; 11: e15761.     CrossRef
  • Sarcopenia in Type 2 Diabetes Mellitus: Study of the Modifiable Risk Factors Involved
    Surapaneni Lakshmi Sravya, Jayshree Swain, Abhay Kumar Sahoo, Swayamsidha Mangaraj, Jayabhanu Kanwar, Pooja Jadhao, Srijit Das
    Journal of Clinical Medicine.2023; 12(17): 5499.     CrossRef
  • Salbutamol ameliorates skeletal muscle wasting and inflammatory markers in streptozotocin (STZ)-induced diabetic rats
    Anand Kumar, Priyanka Prajapati, Vinit Raj, Seong-Cheol Kim, Vikas Mishra, Chaitany Jayprakash Raorane, Ritu Raj, Dinesh Kumar, Sapana Kushwaha
    International Immunopharmacology.2023; 124: 110883.     CrossRef
  • Decreased serum musclin concentration is independently associated with the high prevalence of sarcopenia in Chinese middle‐elderly patients with type 2 diabetes mellitus
    Lei Fu, Qing Zhang, Juan Liu, Xiaoqing Yuan, Xinhua Ye
    Journal of Diabetes Investigation.2023; 14(12): 1412.     CrossRef
  • Association between relative muscle strength and hypertension in middle-aged and older Chinese adults
    Jin-hua Luo, Tu-ming Zhang, Lin-lin Yang, Yu-ying Cai, Yu Yang
    BMC Public Health.2023;[Epub]     CrossRef
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
    Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Management of Hyperglycemia in Older Adults with Type 2 Diabetes
    Gunjan Y. Gandhi, Arshag D. Mooradian
    Drugs & Aging.2022; 39(1): 39.     CrossRef
  • Deleterious Effect of High-Fat Diet on Skeletal Muscle Performance Is Prevented by High-Protein Intake in Adult Rats but Not in Old Rats
    Eleonora Poggiogalle, Fanny Rossignon, Aude Carayon, Fréderic Capel, Jean-Paul Rigaudière, Sarah De Saint Vincent, Olivier Le-Bacquer, Jérôme Salles, Christophe Giraudet, Véronique Patrac, Patrice Lebecque, Stéphane Walrand, Yves Boirie, Vincent Martin, C
    Frontiers in Physiology.2022;[Epub]     CrossRef
  • Metabolic phenotypes explain the relationship between dysglycaemia and frailty in older people with type 2 diabetes
    A.H. Abdelhafiz, A.J. Sinclair
    Journal of Diabetes and its Complications.2022; 36(4): 108144.     CrossRef
  • Altered features of body composition in older adults with type 2 diabetes and prediabetes compared with matched controls
    Kirsten E. Bell, Michael T. Paris, Egor Avrutin, Marina Mourtzakis
    Journal of Cachexia, Sarcopenia and Muscle.2022; 13(2): 1087.     CrossRef
  • A modern approach to glucose-lowering therapy in frail older people with type 2 diabetes mellitus
    Ahmed H. Abdelhafiz, Daniel Pennells, Alan J. Sinclair
    Expert Review of Endocrinology & Metabolism.2022; 17(2): 95.     CrossRef
  • Metabolic syndrome and its association with components of sarcopenia in older community-dwelling Chinese
    Qiangwei Tong, Xiao Wang, Yunlu Sheng, Shu Chen, Bin Lai, Rong Lv, Jing Yu
    The Journal of Biomedical Research.2022; 36(2): 120.     CrossRef
  • Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus
    Shun Matsuura, Koji Shibazaki, Reiko Uchida, Yukiko Imai, Takuya Mukoyama, Shoko Shibata, Hiroshi Morita
    Journal of Diabetes Investigation.2022; 13(8): 1366.     CrossRef
  • Increased serum levels of advanced glycation end products are negatively associated with relative muscle strength in patients with type 2 diabetes mellitus
    Tsung-Hui Wu, Shiow-Chwen Tsai, Hsuan-Wei Lin, Chiao-Nan Chen, Chii-Min Hwu
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Hypoglycaemic therapy in frail older people with type 2 diabetes mellitus—a choice determined by metabolic phenotype
    Alan J. Sinclair, Daniel Pennells, Ahmed H. Abdelhafiz
    Aging Clinical and Experimental Research.2022; 34(9): 1949.     CrossRef
  • Insulin in Frail, Older People with Type 2 Diabetes—Low Threshold for Therapy
    Ahmed Abdelhafiz, Shail Bisht, Iva Kovacevic, Daniel Pennells, Alan Sinclair
    Diabetology.2022; 3(2): 369.     CrossRef
  • Sex-Specific Associations Between Low Muscle Mass and Glucose Fluctuations in Patients With Type 2 Diabetes Mellitus
    Xiulin Shi, Wenjuan Liu, Lulu Zhang, Fangsen Xiao, Peiying Huang, Bing Yan, Yiping Zhang, Weijuan Su, Qiuhui Jiang, Mingzhu Lin, Wei Liu, Xuejun Li
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Lifestyle factors associated with muscle quality in community‐dwelling older people with type 2 diabetes in Japan and Taiwan: a cross‐sectional study
    Yuko Yamaguchi, Chieko Greiner, Shu‐Chun Lee, Hirochika Ryuno, Hsin‐Yen Yen, Chiou‐Fen Lin, Ting‐I Lee, Pi‐Hsia Lee
    Psychogeriatrics.2022; 22(5): 736.     CrossRef
  • Relationship between Echo Intensity of Vastus Lateralis and Knee Extension Strength in Patients with Type 2 Diabetes Mellitus
    Yoshikazu HIRASAWA, Ryosuke MATSUKI, Hideaki TANINA
    Physical Therapy Research.2022; 25(3): 113.     CrossRef
  • Time trends (2012–2020) in glycated hemoglobin and adherence to the glycemic targets recommended for elderly patients by the Japan Diabetes Society/Japan Geriatrics Society Joint Committee among memory clinic patients with diabetes mellitus
    Taiki Sugimoto, Hisashi Noma, Yujiro Kuroda, Nanae Matsumoto, Kazuaki Uchida, Yoshinobu Kishino, Naoki Saji, Shumpei Niida, Takashi Sakurai
    Journal of Diabetes Investigation.2022; 13(12): 2038.     CrossRef
  • Relationship between Diabetes Status and Sarcopenia in Community-Dwelling Older Adults
    Kazuhei Nishimoto, Takehiko Doi, Kota Tsutsumimoto, Sho Nakakubo, Satoshi Kurita, Yuto Kiuchi, Hiroyuki Shimada
    Journal of the American Medical Directors Association.2022; 23(10): 1718.e7.     CrossRef
  • Low relative hand grip strength is associated with a higher risk for diabetes and impaired fasting glucose among the Korean population
    Min Jin Lee, Ah Reum Khang, Dongwon Yi, Yang Ho Kang, Giacomo Pucci
    PLOS ONE.2022; 17(10): e0275746.     CrossRef
  • Association between Lower-to-Upper Ratio of Appendicular Skeletal Muscle and Metabolic Syndrome
    Hyun Eui Moon, Tae Sic Lee, Tae-Ha Chung
    Journal of Clinical Medicine.2022; 11(21): 6309.     CrossRef
  • Association of plasma brain-derived neurotrophic factor levels and frailty in community-dwelling older adults
    Eun Roh, Soon Young Hwang, Eyun Song, Min Jeong Park, Hye Jin Yoo, Sei Hyun Baik, Miji Kim, Chang Won Won, Kyung Mook Choi
    Scientific Reports.2022;[Epub]     CrossRef
  • Organokines, Sarcopenia, and Metabolic Repercussions: The Vicious Cycle and the Interplay with Exercise
    Giulia Minniti, Letícia Maria Pescinini-Salzedas, Guilherme Almeida dos Santos Minniti, Lucas Fornari Laurindo, Sandra Maria Barbalho, Renata Vargas Sinatora, Lance Alan Sloan, Rafael Santos de Argollo Haber, Adriano Cressoni Araújo, Karina Quesada, Jesse
    International Journal of Molecular Sciences.2022; 23(21): 13452.     CrossRef
  • Multimorbidity, Frailty and Diabetes in Older People–Identifying Interrelationships and Outcomes
    Alan J. Sinclair, Ahmed H. Abdelhafiz
    Journal of Personalized Medicine.2022; 12(11): 1911.     CrossRef
  • Hypoglycemic drug liraglutide alleviates low muscle mass by inhibiting the expression of MuRF1 and MAFbx in diabetic muscle atrophy
    Dongmei Fan, Yue Wang, Bowei Liu, Fuzai Yin
    Journal of the Chinese Medical Association.2022;[Epub]     CrossRef
  • Determinants of High-Dose Insulin Usage and Upper Extremity Muscle Strength in Adult Patients With Type 2 Diabetes
    Eren Imre, Tugce Apaydin, Hatice Gizem Gunhan, Dilek Gogas Yavuz
    Canadian Journal of Diabetes.2021; 45(4): 341.     CrossRef
  • Glycemic Control and Insulin Improve Muscle Mass and Gait Speed in Type 2 Diabetes: The MUSCLES-DM Study
    Ken Sugimoto, Hiroshi Ikegami, Yasunori Takata, Tomohiro Katsuya, Masahiro Fukuda, Hiroshi Akasaka, Yasuharu Tabara, Haruhiko Osawa, Yoshihisa Hiromine, Hiromi Rakugi
    Journal of the American Medical Directors Association.2021; 22(4): 834.     CrossRef
  • A Narrative Review on Sarcopenia in Type 2 Diabetes Mellitus: Prevalence and Associated Factors
    Anna Izzo, Elena Massimino, Gabriele Riccardi, Giuseppe Della Pepa
    Nutrients.2021; 13(1): 183.     CrossRef
  • Decreased handgrip strength in patients with type 2 diabetes: A cross-sectional study in a tertiary care hospital in north India
    Parjeet Kaur, Ritesh Bansal, Bharti Bhargava, Sunil Mishra, Harmandeep Gill, Ambrish Mithal
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(1): 325.     CrossRef
  • Factors associated with relative muscle strength in patients with type 2 diabetes mellitus
    Chiao-Nan Chen, Ting-Chung Chen, Shiow-Chwen Tsai, Chii-Min Hwu
    Archives of Gerontology and Geriatrics.2021; 95: 104384.     CrossRef
  • Newer anti-diabetic therapies with low hypoglycemic risk-potential advantages for frail older people
    Demelza Emmerton, Ahmed Abdelhafiz
    Hospital Practice.2021; 49(3): 164.     CrossRef
  • Influence of glucose, insulin fluctuation, and glycosylated hemoglobin on the outcome of sarcopenia in patients with type 2 diabetes mellitus
    Yuxi Lin, Yongze Zhang, Ximei Shen, Lingning Huang, Sunjie Yan
    Journal of Diabetes and its Complications.2021; 35(6): 107926.     CrossRef
  • Presence and Implications of Sarcopenia in Non-alcoholic Steatohepatitis
    Gregory Habig, Christa Smaltz, Dina Halegoua-DeMarzio
    Metabolites.2021; 11(4): 242.     CrossRef
  • Sensory-Motor Mechanisms Increasing Falls Risk in Diabetic Peripheral Neuropathy
    Neil D. Reeves, Giorgio Orlando, Steven J. Brown
    Medicina.2021; 57(5): 457.     CrossRef
  • Impact of frailty metabolic phenotypes on the management of older people with type 2 diabetes mellitus
    Ahmed H Abdelhafiz, Demelza Emmerton, Alan J Sinclair
    Geriatrics & Gerontology International.2021; 21(8): 614.     CrossRef
  • Type 2 diabetes mellitus in older adults: clinical considerations and management
    Srikanth Bellary, Ioannis Kyrou, James E. Brown, Clifford J. Bailey
    Nature Reviews Endocrinology.2021; 17(9): 534.     CrossRef
  • Metabolic Syndrome and Sarcopenia
    Hiroki Nishikawa, Akira Asai, Shinya Fukunishi, Shuhei Nishiguchi, Kazuhide Higuchi
    Nutrients.2021; 13(10): 3519.     CrossRef
  • Angiotensin II inhibition: a potential treatment to slow the progression of sarcopenia
    Jeffrey Kingsley, Keiichi Torimoto, Tomoki Hashimoto, Satoru Eguchi
    Clinical Science.2021; 135(21): 2503.     CrossRef
  • Muscle strength, an independent determinant of glycemic control in older adults with long-standing type 2 diabetes: a prospective cohort study
    Bo Kyung Koo, Seoil Moon, Min Kyong Moon
    BMC Geriatrics.2021;[Epub]     CrossRef
  • Associations between homocysteine, inflammatory cytokines and sarcopenia in Chinese older adults with type 2 diabetes
    Zhi-Jing Mu, Jun-Ling Fu, Li-Na Sun, Piu Chan, Shuang-Ling Xiu
    BMC Geriatrics.2021;[Epub]     CrossRef
  • The Association Between Diabetes Mellitus and Risk of Sarcopenia: Accumulated Evidences From Observational Studies
    Yu-Shun Qiao, Yin-He Chai, Hong-Jian Gong, Zhiyessova Zhuldyz, Coen D. A. Stehouwer, Jian-Bo Zhou, Rafael Simó
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • The utility of the ultrasonographic assessment of the lower leg muscles to evaluate sarcopenia and muscle quality in older adults
    Masaaki Isaka, Ken Sugimoto, Taku Fujimoto, Yukiko Yasunobe, Keyu Xie, Yuri Onishi, Shino Yoshida, Toshimasa Takahashi, Hitomi Kurinami, Hiroshi Akasaka, Yasushi Takeya, Koichi Yamamoto, Hiromi Rakugi
    JCSM Clinical Reports.2021; 6(2): 53.     CrossRef
  • Associations between grip strength and glycemic control in type 2 diabetes mellitus: an analysis of data from the 2014-2019 Korea National Health and Nutrition Examination Survey
    Harim Choe, Hoyong Sung, Geon Hui Kim, On Lee, Hyo Youl Moon, Yeon Soo Kim
    Epidemiology and Health.2021; 43: e2021080.     CrossRef
  • Uncontrolled Diabetes as an Associated Factor with Dynapenia in Adults Aged 50 Years or Older: Sex Differences
    Clarice Cavalero Nebuloni, Roberta de Oliveira Máximo, Cesar de Oliveira, Tiago da Silva Alexandre, Anne Newman
    The Journals of Gerontology: Series A.2020; 75(6): 1191.     CrossRef
  • Identification and prevalence of frailty in diabetes mellitus and association with clinical outcomes: a systematic review protocol
    Peter Hanlon, Isabella Fauré, Neave Corcoran, Elaine Butterly, Jim Lewsey, David A McAllister, Frances S Mair
    BMJ Open.2020; 10(9): e037476.     CrossRef
  • Longitudinal association of type 2 diabetes and insulin therapy with muscle parameters in the KORA-Age study
    Uta Ferrari, Cornelia Then, Marietta Rottenkolber, Canan Selte, Jochen Seissler, Romy Conzade, Birgit Linkohr, Annette Peters, Michael Drey, Barbara Thorand
    Acta Diabetologica.2020; 57(9): 1057.     CrossRef
  • Triad of impairment in older people with diabetes-reciprocal relations and clinical implications
    A.H. Abdelhafiz, P.C. Davies, A.J. Sinclair
    Diabetes Research and Clinical Practice.2020; 161: 108065.     CrossRef
  • Physical activity and exercise: Strategies to manage frailty
    Javier Angulo, Mariam El Assar, Alejandro Álvarez-Bustos, Leocadio Rodríguez-Mañas
    Redox Biology.2020; 35: 101513.     CrossRef
  • Handgrip measurement as a useful benchmark for locomotive syndrome in patients with type 2 diabetes mellitus: A KAMOGAWA‐DM cohort study
    Noriyuki Kitagawa, Takuro Okamura, Nobuko Kitagawa, Yoshitaka Hashimoto, Masahide Hamaguchi, Michiaki Fukui
    Journal of Diabetes Investigation.2020; 11(6): 1602.     CrossRef
  • Edmonton frail score is associated with diabetic control in elderly type 2 diabetic subjects
    Satilmis Bilgin, Gulali Aktas, Ozge Kurtkulagi, Burcin M. Atak, Tuba T. Duman
    Journal of Diabetes & Metabolic Disorders.2020; 19(1): 511.     CrossRef
  • Comparison of field- and laboratory-based estimates of muscle quality index between octogenarians and young older adults: an observational study
    Dahan da Cunha Nascimento, Jonato Prestes, Joyce de Sousa Diniz, Pedro Rodrigues Beal, Vicente Paulo Alves, Whitley Stone, Fabiani Lage Rodrigues Beal
    Journal of Exercise Rehabilitation.2020; 16(5): 458.     CrossRef
  • Tip 2 Diyabetli Hastalarda Kan Glukoz Seviyesi ile Kas Gücü, Propriosepsiyon ve Vücut Kompozisyonu Arasındaki İlişki
    Zahide Betül TAYFUR, Esra ATILGAN
    Turkish Journal of Diabetes and Obesity.2020; 4(3): 207.     CrossRef
  • Challenges and Strategies for Diabetes Management in Community-Living Older Adults
    Alan J. Sinclair, Ahmed H. Abdelhafiz
    Diabetes Spectrum.2020; 33(3): 217.     CrossRef
  • Association between deterioration in muscle strength and peripheral neuropathy in people with diabetes
    Tae Jung Oh, Sunyoung Kang, Jie-Eun Lee, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Hak Chul Jang
    Journal of Diabetes and its Complications.2019; 33(8): 598.     CrossRef
  • The Association between Body Composition using Dual energy X-ray Absorptiometry and Type-2 Diabetes: A Systematic Review and Meta-Analysis of Observational studies
    Preeti Gupta, Carla Lanca, Alfred T. L. Gan, Pauline Soh, Sahil Thakur, Yijin Tao, Neelam Kumari, Ryan E. K. Man, Eva K. Fenwick, Ecosse L. Lamoureux
    Scientific Reports.2019;[Epub]     CrossRef
  • MECHANISMS OF ENDOCRINE DISEASE: Sarcopenia in endocrine and non-endocrine disorders
    Victoria Zeghbi Cochenski Borba, Tatiana Lemos Costa, Carolina Aguiar Moreira, Cesar Luiz Boguszewski
    European Journal of Endocrinology.2019; 180(5): R185.     CrossRef
  • Hyperglycemia induces skeletal muscle atrophy via a WWP1/KLF15 axis
    Yu Hirata, Kazuhiro Nomura, Yoko Senga, Yuko Okada, Kenta Kobayashi, Shiki Okamoto, Yasuhiko Minokoshi, Michihiro Imamura, Shin’ichi Takeda, Tetsuya Hosooka, Wataru Ogawa
    JCI Insight.2019;[Epub]     CrossRef
  • Hyperglycemia in non‐obese patients with type 2 diabetes is associated with low muscle mass: The Multicenter Study for Clarifying Evidence for Sarcopenia in Patients with Diabetes Mellitus
    Ken Sugimoto, Yasuharu Tabara, Hiroshi Ikegami, Yasunori Takata, Kei Kamide, Tome Ikezoe, Eri Kiyoshige, Yukako Makutani, Hiroshi Onuma, Yasuyuki Gondo, Kazunori Ikebe, Noriaki Ichihashi, Tadao Tsuboyama, Fumihiko Matsuda, Katsuhiko Kohara, Mai Kabayama,
    Journal of Diabetes Investigation.2019; 10(6): 1471.     CrossRef
  • Diabetic Peripheral Neuropathy as a Risk Factor for Sarcopenia
    Tae Jung Oh, Yoojung Song, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 170.     CrossRef
  • Diabetes and frailty
    Mariam El Assar, Olga Laosa, Leocadio Rodríguez Mañas
    Current Opinion in Clinical Nutrition & Metabolic Care.2019; 22(1): 52.     CrossRef
  • Association of Glucose Fluctuations with Sarcopenia in Older Adults with Type 2 Diabetes Mellitus
    Noriko Ogama, Takashi Sakurai, Shuji Kawashima, Takahisa Tanikawa, Haruhiko Tokuda, Shosuke Satake, Hisayuki Miura, Atsuya Shimizu, Manabu Kokubo, Shumpei Niida, Kenji Toba, Hiroyuki Umegaki, Masafumi Kuzuya
    Journal of Clinical Medicine.2019; 8(3): 319.     CrossRef
  • Diabetes in the elderly
    Ahmed H. Abdelhafiz, Alan J. Sinclair
    Medicine.2019; 47(2): 119.     CrossRef
  • Diabetes and Muscle Dysfunction in Older Adults
    Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 160.     CrossRef
  • Factors influencing safe glucose-lowering in older adults with type 2 diabetes: A PeRsOn-centred ApproaCh To IndiVidualisEd (PROACTIVE) Glycemic Goals for older people
    C.E. Hambling, K. Khunti, X. Cos, J. Wens, L. Martinez, P. Topsever, S. Del Prato, A. Sinclair, G. Schernthaner, G. Rutten, S. Seidu
    Primary Care Diabetes.2019; 13(4): 330.     CrossRef
  • Effects of resistance training on neuromuscular parameters in elderly with type 2 diabetes mellitus: A randomized clinical trial
    Cíntia E. Botton, Daniel Umpierre, Anderson Rech, Lucinéia O. Pfeifer, Carlos L.F. Machado, Juliana L. Teodoro, Alexandre S. Dias, Ronei S. Pinto
    Experimental Gerontology.2018; 113: 141.     CrossRef
  • Management of Elderly Diabetes Patients Who Are Unable to Self-Care
    Bok Rye Song
    The Journal of Korean Diabetes.2018; 19(4): 232.     CrossRef
  • Decreased Muscle Strength and Quality in Diabetes-Related Dementia
    Akito Tsugawa, Yusuke Ogawa, Naoto Takenoshita, Yoshitsugu Kaneko, Hirokuni Hatanaka, Eriko Jaime, Raita Fukasawa, Haruo Hanyu
    Dementia and Geriatric Cognitive Disorders Extra.2017; 7(3): 454.     CrossRef
  • Diabetes and Sarcopenia
    Dong Hyun Kim, Tae Yang Yu
    The Journal of Korean Diabetes.2017; 18(4): 239.     CrossRef
  • Frailty and sarcopenia - newly emerging and high impact complications of diabetes
    Alan J. Sinclair, Ahmed H. Abdelhafiz, Leocadio Rodríguez-Mañas
    Journal of Diabetes and its Complications.2017; 31(9): 1465.     CrossRef
  • Association of diabetic retinopathy with both sarcopenia and muscle quality in patients with type 2 diabetes: a cross-sectional study
    Tatsuya Fukuda, Ryotaro Bouchi, Takato Takeuchi, Yujiro Nakano, Masanori Murakami, Isao Minami, Hajime Izumiyama, Koshi Hashimoto, Takanobu Yoshimoto, Yoshihiro Ogawa
    BMJ Open Diabetes Research & Care.2017; 5(1): e000404.     CrossRef
  • Practical considerations for managing patients with diabetes and dementia
    Michelle L Mair, Rohin Athavale, Ahmed H Abdelhafiz
    Expert Review of Endocrinology & Metabolism.2017; 12(6): 429.     CrossRef
  • Sarcopenia: An Endocrine Disorder?
    Alexis McKee, John E. Morley, Alvin M. Matsumoto, Aaron Vinik
    Endocrine Practice.2017; 23(9): 1143.     CrossRef
  • Response: Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging (Diabetes Metab J 2016;40:140-6)
    Ji Won Yoon, Hak Chul Jang
    Diabetes & Metabolism Journal.2016; 40(3): 250.     CrossRef
  • Salivary lactate dehydrogenase and aminotransferases in diabetic patients
    Barbara Malicka, Katarzyna Skoskiewicz-Malinowska, Urszula Kaczmarek
    Medicine.2016; 95(47): e5211.     CrossRef
  • Explanatory models of muscle performance in acromegaly patients evaluated by knee isokinetic dynamometry: Implications for rehabilitation
    Agnaldo José Lopes, Arthur Sá Ferreira, Evelyn Mendes Walchan, Mauricio Santos Soares, Priscila Santos Bunn, Fernando Silva Guimarães
    Human Movement Science.2016; 49: 160.     CrossRef
  • Letter: Hyperglycemia Is Associated with Impaired Muscle Quality in Older Men with Diabetes: The Korean Longitudinal Study on Health and Aging (Diabetes Metab J 2016;40:140-6)
    Jun Sung Moon
    Diabetes & Metabolism Journal.2016; 40(3): 248.     CrossRef
  • Sarcopenia, Frailty, and Diabetes in Older Adults
    Hak Chul Jang
    Diabetes & Metabolism Journal.2016; 40(3): 182.     CrossRef
Clinical Care/Education
Clinical Characteristics and Metabolic Predictors of Rapid Responders to Dipeptidyl Peptidase-4 Inhibitor as an Add-on Therapy to Sulfonylurea and Metformin
Ye An Kim, Won Sang Yoo, Eun Shil Hong, Eu Jeong Ku, Kyeong Seon Park, Soo Lim, Young Min Cho, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi
Diabetes Metab J. 2015;39(6):489-497.   Published online November 27, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.6.489
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AbstractAbstract PDFPubReader   
Background

Dipeptidyl peptidase-4 (DPP-4) inhibitor add-on therapy is a new option for patients with inadequately controlled type 2 diabetes who are taking combined metformin and sulfonylurea (SU). We evaluated the efficacy and safety of this triple therapy and the characteristics of rapid responders and hypoglycemia-prone patients.

Methods

We included 807 patients with type 2 diabetes who were prescribed a newly added DPP-4 inhibitor to ongoing metformin and SU in 2009 to 2011. Glycemia and other metabolic parameters at baseline, 12, 24, and 52 weeks, as well as episodes of hypoglycemia were analyzed. Rapid responders were defined as patients with ≥25% reduction in glycosylated hemoglobin (HbA1c) within 12 weeks.

Results

At baseline, while on the submaximal metformin and SU combination, the mean HbA1c level was 8.4%. Twelve weeks after initiation of DPP-4 inhibitor add-on, 269 patients (34.4%) achieved an HbA1c level ≤7%. Sixty-six patients (8.2%, 47 men) were rapid responders. The duration of diabetes was shorter in rapid responders, and their baseline fasting plasma glucose (FPG), HbA1c, C-peptide, and homeostasis model assessment of insulin resistance were significantly higher. Patients who experienced hypoglycemia after taking DPP-4 inhibitor add-on were more likely to be female, to have a lower body weight and lower triglyceride and FPG levels, and to have higher homeostasis model assessment of β-cells.

Conclusion

An oral hypoglycemic triple agent combination including a DPP-4 inhibitor was effective in patients with uncontrolled diabetes. Proactive dose reduction of SU should be considered when a DPP-4 inhibitor is added for rapid responders and hypoglycemia-prone patients.

Citations

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  • A genetic variant in GLP1R is associated with response to DPP-4 inhibitors in patients with type 2 diabetes
    Eugene Han, Hye Sun Park, Obin Kwon, Eun Yeong Choe, Hye Jin Wang, Yong-ho Lee, Sang-Hak Lee, Chul Hoon Kim, Lee-Kyung Kim, Soo Heon Kwak, Kyong Soo Park, Chul Sik Kim, Eun Seok Kang
    Medicine.2016; 95(44): e5155.     CrossRef
Prevalence and Clinical Characteristics of Recently Diagnosed Type 2 Diabetes Patients with Positive Anti-Glutamic Acid Decarboxylase Antibody
Yul Hwangbo, Jin Taek Kim, Eun Ky Kim, Ah Reum Khang, Tae Jung Oh, Hak Chul Jang, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee, Young Min Cho
Diabetes Metab J. 2012;36(2):136-143.   Published online April 17, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.2.136
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AbstractAbstract PDFPubReader   
Background

Latent autoimmune diabetes in adults (LADA) refers to a specific type of diabetes characterized by adult onset, presence of islet auto-antibodies, insulin independence at the time of diagnosis, and rapid decline in β-cell function. The prevalence of LADA among patients with type 2 diabetes varies from 2% to 20% according to the study population. Since most studies on the prevalence of LADA performed in Korea were conducted in patients who had been tested for anti-glutamic acid decarboxylase antibody (GADAb), a selection bias could not be excluded. In this study, we examined the prevalence and clinical characteristics of LADA among adult patients recently diagnosed with type 2 diabetes.

Methods

We included 462 patients who were diagnosed with type 2 diabetes within 5 years from the time this study was performed. We measured GADAb, fasting insulin level, fasting C-peptide level, fasting plasma glucose level, HbA1c, and serum lipid profiles and collected data on clinical characteristics.

Results

The prevalence of LADA was 4.3% (20/462) among adult patients with newly diagnosed type 2 diabetes. Compared with the GADAb-negative patients, the GADAb-positive patients had lower fasting C-peptide levels (1.2±0.8 ng/mL vs. 2.0±1.2 ng/mL, P=0.004). Other metabolic features were not significantly different between the two groups.

Conclusion

The prevalence of LADA is 4.3% among Korean adult patients with recently diagnosed type 2 diabetes. The Korean LADA patients exhibited decreased insulin secretory capacity as reflected by lower C-peptide levels.

Citations

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  • Utility of Fasting C-Peptide for the Diagnostic Differentiation of Patients with Type 1, Type 2 Diabetes, MODY, and LADA
    Ricardo Alemán-Contreras, Rita A. Gómez-Díaz, Maura E. Noyola-García, Rafael Mondragón-González, Niels Wacher, Aldo Ferreira-Hermosillo
    Life.2024; 14(5): 550.     CrossRef
  • Prevalence of latent autoimmune diabetes in adults and insulin resistance: a systematic review and meta-analysis
    Malihe Mohammadi
    European Journal of Translational Myology.2024;[Epub]     CrossRef
  • A Predictive Level of C-peptide for Glutamic Acid Decarboxylase Antibody Positivity in Autoimmune Diabetes
    Dilek Geneş, Zeki Akkuş, Zafer Pekkolay, Alparslan Kemal Tuzcu
    Dicle Tıp Dergisi.2024; 51(4): 523.     CrossRef
  • The worldwide prevalence of latent autoimmune diabetes of adults among adult-onset diabetic individuals: a systematic review and meta-analysis
    Deepika Ramu, Selvaraj Ramaswamy, Suresh Rao, Solomon F. D. Paul
    Endocrine.2023; 82(1): 28.     CrossRef
  • Investigation of serum level relationship anti-glutamic acid decarboxylase antibody and inflammatory cytokines (IL1-β, IL-6) with vitamins D in type 2 diabetes
    Vahid Pouresmaeil, Sarmad Mashayekhi, Mohammad Sarafraz Yazdi
    Journal of Diabetes & Metabolic Disorders.2022; 21(1): 181.     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Prevalence and factors associated with latent autoimmune diabetes in adults (LADA): a cross-sectional study
    Anselmo M. Manisha, Aminiel R. Shangali, Sayoki G. Mfinanga, Erasto V. Mbugi
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Latent Autoimmune Diabetes in Adults (LADA) and its Metabolic Characteristics among Yemeni Type 2 Diabetes Mellitus Patients
    Dhekra Al-Zubairi, Molham AL-Habori, Riyadh Saif-Ali
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 4223.     CrossRef
  • Therapeutic approaches for latent autoimmune diabetes in adults: One size does not fit all
    Theocharis Koufakis, Niki Katsiki, Pantelis Zebekakis, George Dimitriadis, Kalliopi Kotsa
    Journal of Diabetes.2020; 12(2): 110.     CrossRef
  • Long‐term effects on glycaemic control and β‐cell preservation of early intensive treatment in patients with newly diagnosed type 2 diabetes: A multicentre randomized trial
    Suk Chon, Sang Youl Rhee, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Soon Jib Yoo, Gwanpyo Koh, Dae Ho Lee, Young Seol Kim, Jeong‐Taek Woo
    Diabetes, Obesity and Metabolism.2018; 20(5): 1121.     CrossRef
  • A Global Perspective of Latent Autoimmune Diabetes in Adults
    Rajashree Mishra, Kenyaita M. Hodge, Diana L. Cousminer, Richard D. Leslie, Struan F.A. Grant
    Trends in Endocrinology & Metabolism.2018; 29(9): 638.     CrossRef
  • The prevalence of latent autoimmune diabetes in adults and its correlates in patients with type 2 diabetes in Kerman, Iran [2011]
    Gozashti Mohammad Hossein, Shafiei Maryam, Esmaeilian Saeed, Najafipour Hamid, Mashrouteh Mahdieh
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2015; 9(2): 104.     CrossRef
  • Low prevalence of latent autoimmune diabetes in adults in northern India
    A. Sachan, G. Zaidi, R. P. Sahu, S. Agrawal, P. G. Colman, E. Bhatia
    Diabetic Medicine.2015; 32(6): 810.     CrossRef
  • Amelioration of Diabetes-induced Cognitive Deficits by GSK-3β Inhibition is Attributed to Modulation of Neurotransmitters and Neuroinflammation
    Ashok Kumar Datusalia, Shyam Sunder Sharma
    Molecular Neurobiology.2014; 50(2): 390.     CrossRef
  • Successful treatment of latent autoimmune diabetes in adults with Traditional Chinese Medicine: a case report
    Jiaxing Tian, Wenke Liu, Zhong Zhen, Xiaolin Tong
    Journal of Traditional Chinese Medicine.2013; 33(6): 766.     CrossRef
  • Clinical characteristics and insulin independence of Koreans with new‐onset type 2 diabetes presenting with diabetic ketoacidosis
    H. Seok, C. H. Jung, S. W. Kim, M. J. Lee, W. J. Lee, J. H. Kim, B‐W. Lee
    Diabetes/Metabolism Research and Reviews.2013; 29(6): 507.     CrossRef
  • A Case of Latent Autoimmune Diabetes in Adults Developed after Surgical Cure of Growth Hormone Secreting Pituitary Tumor
    Wonjin Kim, Jung Ho Kim, Youngsook Kim, Ji Hye Huh, Su Jin Lee, Mi Sung Park, Eun Yeong Choe, Jeong Kyung Park, Myung Won Lee, Jae Won Hong, Byung Wan Lee, Eun Seok Kang, Bong Soo Cha, Eun Jig Lee, Hyun Chul Lee
    Endocrinology and Metabolism.2012; 27(4): 318.     CrossRef
  • Latent Autoimmune Diabetes in Adults: Autoimmune Diabetes in Adults with Slowly Progressive β-cell Failure
    Hannah Seok, Byung Wan Lee
    Diabetes & Metabolism Journal.2012; 36(2): 116.     CrossRef
Epidemiology of Micro- and Macrovascular Complications of Type 2 Diabetes in Korea
Jung Hee Kim, Dae Jung Kim, Hak Chul Jang, Sung Hee Choi
Diabetes Metab J. 2011;35(6):571-577.   Published online December 26, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.6.571
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AbstractAbstract PDFPubReader   

The prevalence of diabetes in Korea has increased six- to sevenfold over the past 40 years with its complications becoming major causes of morbidity and mortality. The rate of death among patients with diabetes is about twice as high as that among persons without diabetes and the most common cause of death is cardiovascular disease (30.6%). Despite the seriousness of diabetic complications, 30 to 70% of patients receive inadequate care, and only 40% of treated diabetic patients achieve the optimal control with HbA1c level <7% in Korea. In 2006, over 30 to 40% of patients with diabetes have microvascular complications and around 10% of them have macrovascular complications from our national data. Despite there are some debates about intensive glycemic control resulting in the deterioration of macrovascular complication, multifactorial treatment approaches including proper glycemic control are important to prevent diabetic complications. There have been needs for finding proper biomarkers for predicting diabetic complications properly but we still need more longitudinal studies to find this correlation with causal relationship. In this article, we wanted to review the recent status of micro- and macrovascular complications of type 2 diabetes in Korea from integration of many epidemiologic studies.

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  • Relationship of paraoxonase-1 and paraoxonase-3 with routine laboratory tests and oxidative stress in type 2 diabetes mellitus
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    Turkish Journal of Biochemistry.2024; 49(5): 691.     CrossRef
  • Phenotypic Screening for Small Molecules that Protect β-Cells from Glucolipotoxicity
    Jonnell C. Small, Aidan Joblin-Mills, Kaycee Carbone, Maria Kost-Alimova, Kumiko Ayukawa, Carol Khodier, Vlado Dancik, Paul A. Clemons, Andrew B. Munkacsi, Bridget K. Wagner
    ACS Chemical Biology.2022; 17(5): 1131.     CrossRef
  • Real-World Analysis of Rapid-Acting Insulin Analog Use and Its Blood Glucose Lowering Effect in Patients with Type 2 Diabetes Mellitus: Results from PASSION Disease Registry in Korea
    Hye Soon Kim, Jae Myung Yu, Hak Chul Jang, Eui Kwang Choi, Jeong Hyun Park, Ho Sang Shon, Choon Hee Chung, Keun-Gyu Park, Jae Hyoung Cho, Won Kim, Kyoung Hwa Lee, Jee Hyun Lee, Soon Jib Yoo
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1495.     CrossRef
  • Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
    Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
    Annals of Clinical Neurophysiology.2022; 24(1): 7.     CrossRef
  • Effects of Jerusalem Artichoke Extract and Inulin on Blood Glucose Levels and Insulin Secretion in Streptozotocin Induced Diabetic Mice
    Seung Hee Kim, Byung Ki Kim, Boo Yeun Park, Jung Min Kim, Young Jik Lee, Mi Kyung Lee, Sung-Tae Yee, Mi Yeon Kang
    The Journal of Korean Diabetes.2021; 22(1): 60.     CrossRef
  • Diabetic Retinopathy and Related Clinical Practice for People with Diabetes in Korea: A 10-Year Trend Analysis
    Yoo-Ri Chung, Kyoung Hwa Ha, Kihwang Lee, Dae Jung Kim
    Diabetes & Metabolism Journal.2020; 44(6): 928.     CrossRef
  • A prospective cohort study on effects of gemigliptin on cardiovascular outcomes in patients with type 2 diabetes (OPTIMUS study)
    Eun Heui Kim, Sang Soo Kim, Dong Jun Kim, Young Sik Choi, Chang Won Lee, Bon Jeong Ku, Kwang Soo Cha, Kee Ho Song, Dae Kyeong Kim, In Joo Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Comparative Cardiovascular Risks of Dipeptidyl Peptidase-4 Inhibitors: Analyses of Real-world Data in Korea
    Kyoung Hwa Ha, Bongseong Kim, Hae Sol Shin, Jinhee Lee, Hansol Choi, Hyeon Chang Kim, Dae Jung Kim
    Korean Circulation Journal.2018; 48(5): 395.     CrossRef
  • High hemoglobin levels are associated with decreased risk of diabetic retinopathy in Korean type 2 diabetes
    Min-Kyung Lee, Kyung-Do Han, Jae-Hyuk Lee, Seo-Young Sohn, Jee-Sun Jeong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    Scientific Reports.2018;[Epub]     CrossRef
  • Impact of Diabetes Mellitus Type 2 in the Activity of Glucose-6-Phosphate Dehydrogenase in Human Erythrocyte
    Salih Awla Hamzah, Luqman Awla Hamza, Heshu Sulaman Rahman
    Kurdistan Journal of Applied Research.2018; 3(1): 58.     CrossRef
  • Uncoupling Protein 2: A Key Player and a Potential Therapeutic Target in Vascular Diseases
    Giorgia Pierelli, Rosita Stanzione, Maurizio Forte, Serena Migliarino, Marika Perelli, Massimo Volpe, Speranza Rubattu, Ryuichi Morishita
    Oxidative Medicine and Cellular Longevity.2017;[Epub]     CrossRef
  • Glucagon-Like Peptide-1 Receptor Agonists for the Treatment of Type 2 Diabetes Mellitus: A Position Statement of the Korean Diabetes Association
    Hyun Jin Kim, Seok O Park, Seung-Hyun Ko, Sang Youl Rhee, Kyu-Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Byung-Wan Lee, Jin Hwa Kim, Kyung Mook Choi
    Diabetes & Metabolism Journal.2017; 41(6): 423.     CrossRef
  • Management of Hypertension in Diabetic Patients
    Sang Yong Kim
    The Journal of Korean Diabetes.2016; 17(2): 88.     CrossRef
  • Cardiovascular Autonomic Dysfunction Predicts Diabetic Foot Ulcers in Patients With Type 2 Diabetes Without Diabetic Polyneuropathy
    Jae-Seung Yun, Seon-Ah Cha, Tae-Seok Lim, Eun-Young Lee, Ki-Ho Song, Yu-Bae Ahn, Ki-Dong Yoo, Joon-Sung Kim, Yong-Moon Park, Seung-Hyun Ko
    Medicine.2016; 95(12): e3128.     CrossRef
  • Obesity and Insulin Resistance According to Age in Newly Diagnosed Type 2 Diabetes Patients in Korea
    Ju Won Lee, Nam Kyu Kim, Hyun Joon Park, Jun Yeob Lee, Seon Yoon Choi, Eun Mi Lee, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
    Kosin Medical Journal.2016; 31(2): 157.     CrossRef
  • Exercise is associated with metabolism regulation and complications in Korean patients with type 2 diabetes
    Jin-Won Noh, Jeong Eun Park, Jin Hee Jung, Jung Hwa Lee, Kang Hee Sim, Min Hee Kim
    Journal of Physical Therapy Science.2015; 27(7): 2189.     CrossRef
  • Diabetes in Asians
    Eun-Jung Rhee
    Endocrinology and Metabolism.2015; 30(3): 263.     CrossRef
  • Assessment of Cardiovascular Risk in Adults With Type 2 Diabetes and Metabolic Syndrome
    Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk, Sun-Mi Chae
    The Diabetes Educator.2015; 41(2): 203.     CrossRef
  • Association of adiponectin polymorphisms with the risk of diabetic nephropathy in type 2 diabetes: A meta‐analysis 脂联素基因多态性与2型糖尿病肾病的相关性:一项meta分析
    Yuli Cai, Tianshu Zeng, Lulu Chen
    Journal of Diabetes.2015; 7(1): 31.     CrossRef
  • Association between the extent of urinary albumin excretion and glycaemic variability indices measured by continuous glucose monitoring
    S.‐M. Jin, T.‐H. Kim, S. Oh, J. Baek, J. Y. Joung, S.‐M. Park, Y. Y. Cho, S. Y. Sohn, K. Y. Hur, M.‐S. Lee, M.‐K. Lee, J. H. Kim
    Diabetic Medicine.2015; 32(2): 274.     CrossRef
  • Association Between Heme Oxygenase-1 Promoter Polymorphisms and the Development of Albuminuria in Type 2 Diabetes
    Eun Young Lee, Yong-ho Lee, Soo Hyun Kim, Kyu Sik Jung, Obin Kwon, Beom Seok Kim, Chung Mo Nam, Chun Sik Park, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee
    Medicine.2015; 94(43): e1825.     CrossRef
  • Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea
    Jin-Hee Jung, Jung-Hwa Lee, Jin-Won Noh, Jeong-Eun Park, Hee-Sook Kim, Joo-Wha Yoo, Bok-Rye Song, Jeong-rim Lee, Myeong-Hee Hong, Hyang-Mi Jang, Young Na, Hyun-Joo Lee, Jeong-Mi Lee, Yang-Gyo Kang, Sun-Young Kim, Kang-Hee Sim
    Diabetes & Metabolism Journal.2015; 39(4): 307.     CrossRef
  • Vasoregression: A Shared Vascular Pathology Underlying Macrovascular And Microvascular Pathologies?
    Akanksha Gupta, Sonika Bhatnagar
    OMICS: A Journal of Integrative Biology.2015; 19(12): 733.     CrossRef
  • Assessment of glycemic control in patients with type 2 diabetes mellitus treated with metformin–sulfonylurea combination: Results of a multicenter, cross‐sectional, observational study in Korea
    Sin Gon Kim, Jong Ryeal Hahm, Duk Kyu Kim, Sung Rae Cho, Dong Seop Choi
    Journal of Diabetes Investigation.2015; 6(3): 317.     CrossRef
  • Sleep Duration and Glycemic Control in Patients with Diabetes Mellitus: Korea National Health and Nutrition Examination Survey 2007-2010
    Bu Kyung Kim, Bong Sun Kim, So-Yeon An, Min Suk Lee, Yong Jun Choi, Seung Jin Han, Yoon-sok Chung, Kwan-Woo Lee, Dae Jung Kim
    Journal of Korean Medical Science.2013; 28(9): 1334.     CrossRef
  • Diagnostic Accuracy of 64-Slice MDCT Coronary Angiography for the Assessment of Coronary Artery Disease in Korean Patients with Type 2 Diabetes
    Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Ihn-Ho Cho, Hyoung Woo Lee
    Diabetes & Metabolism Journal.2013; 37(1): 54.     CrossRef
  • Prevalence and factors associated with diabetic retinopathy in a Korean adult population: The 2008–2009 Korea National Health and Nutrition Examination Survey
    Ju Yean Yang, Na Kyung Kim, Yun Jeong Lee, Jung Hyun Noh, Dae Jung Kim, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
    Diabetes Research and Clinical Practice.2013; 102(3): 218.     CrossRef
  • Intracellular Adhesion Molecule-1 K469E Gene Polymorphism and Risk of Diabetic Microvascular Complications: A Meta-Analysis
    Xianghui Su, Xi Chen, Lei Liu, Xiangyun Chang, Xuefeng Yu, Kan Sun, Rudolf Kirchmair
    PLoS ONE.2013; 8(7): e69940.     CrossRef
  • Variants of the Adiponectin Gene and Diabetic Microvascular Complications in Patients with Type 2 Diabetes
    Eun Yeong Choe, Hye Jin Wang, Obin Kwon, Kwang Joon Kim, Bum Seok Kim, Byung-Wan Lee, Chul Woo Ahn, Bong Soo Cha, Hyun Chul Lee, Eun Seok Kang, Christos S. Mantzoros
    Metabolism.2013; 62(5): 677.     CrossRef
  • Microalbuminuria is Independently Associated with Arterial Stiffness and Vascular Inflammation but not with Carotid Intima-Media Thickness in Patients with Newly Diagnosed Type 2 Diabetes or Essential Hypertension
    Dong Il Shin, Ki-Bae Seung, Hye Eun Yoon, Byung-Hee Hwang, Suk Min Seo, Seok Joon Shin, Pum-Joon Kim, Kiyuk Chang, Sang Hong Baek
    Journal of Korean Medical Science.2013; 28(2): 252.     CrossRef
  • Comparison of Two Creatinine-Based Equations for Predicting Decline in Renal Function in Type 2 Diabetic Patients with Nephropathy in a Korean Population
    Eun Young Lee, Young-Mi Lee, Kyu Hun Choi, Hyun Chul Lee, Byung-Wan Lee, Beom Seok Kim
    International Journal of Endocrinology.2013; 2013: 1.     CrossRef
  • Physical Fitness in Children with Type 1 Diabetes Measured with Six-Minute Walk Test
    Vladimir Jegdic, Zeljko Roncevic, Veselin Skrabic
    International Journal of Endocrinology.2013; 2013: 1.     CrossRef
  • Long-term changes of the prevalence and control rate of hypertension among Korean adults with diagnosed diabetes: 1998–2008 Korean National Health and Nutrition Examination Survey
    Seung-Hyun Ko, Hyuk-Sang Kwon, Ki-Ho Song, Yu-Bae Ahn, Kun-Ho Yoon, Hyeon Woo Yim, Won-Chul Lee, Yong-Moon Park
    Diabetes Research and Clinical Practice.2012; 97(1): 151.     CrossRef
  • Impact of serum calcium and phosphate on coronary atherosclerosis detected by cardiac computed tomography
    Sanghoon Shin, Kwang-Joon Kim, Hyuk-Jae Chang, Iksung Cho, Young Jin Kim, Byoung-Wook Choi, Yumie Rhee, Sung-Kil Lim, Woo-In Yang, Chi-Young Shim, Jong-Won Ha, Yangsoo Jang, Namsik Chung
    European Heart Journal.2012; 33(22): 2873.     CrossRef
  • Contributions of diabetic macro-vascular complications and hip fracture to depression onset in elderly patients with diabetes: An 8-year population-based follow-up study
    Hsueh-Hsing Pan, Chung-Yi Li, Pei-Chun Chen, Ming-Der Lee, Chun-Yu Liang, Wen-Hsuan Hou, Kwua-Yun Wang
    Journal of Psychosomatic Research.2012; 73(3): 180.     CrossRef
Carotid Intimal-Medial Thickness Is Not Increased in Women with Previous Gestational Diabetes Mellitus
Yun Hyi Ku, Sung Hee Choi, Soo Lim, Young Min Cho, Young Joo Park, Kyong Soo Park, Seong Yeon Kim, Hak Chul Jang
Diabetes Metab J. 2011;35(5):497-503.   Published online October 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.5.497
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AbstractAbstract PDFPubReader   
Background

Gestational diabetes mellitus (GDM) is known to increase the risk of cardiovascular diseases. Measuring the carotid artery intimal-medial thickness (CIMT) is a non-invasive technique used to evaluate early atherosclerosis and to predict future cardiovascular diseases. We examined the association between CIMT and cardiovascular risk factors in young Korean women with previous GDM.

Methods

One hundred one women with previous GDM and 19 women who had normal pregnancies (NP) were recruited between 1999 and 2002. At one year postpartum, CIMT was measured using high-resolution B-mode ultrasonography, and oral glucose tolerance tests were performed. Fasting glucose, glycated hemoglobin A1c (HbA1c), insulin levels and lipid profiles were also measured. CIMTs in the GDM and NP groups were compared, and the associations between CIMT and cardiovascular risk factors were analyzed in the GDM group.

Results

CIMT results of the GDM group were not significantly different from those of the NP group (GDM, 0.435±0.054 mm; NP, 0.460±0.046 mm; P=0.069). In the GDM group, a higher HbA1c was associated with an increase in CIMT after age adjustment (P=0.011). CIMT results in the group with HbA1c >6.0% were higher than those of the normal HbA1c (HbA1c ≤6.0%) (P=0.010). Nine of the patients who are type 2 diabetes mellitus converters within one year postpartum but showed no significant difference in CIMT results compared to NP group.

Conclusion

Higher HbA1c is associated with an increase in CIMT in women with previous GDM. However, CIMT at one year postpartum was not increased in these women compared to that in NP women.

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  • Women with a history of gestational diabetes mellitus present an accumulation of cardiovascular risk factors at age 46—A birth cohort study
    Evi Bakiris, Kaisu Luiro, Jari Jokelainen, Laure Morin‐Papunen, Sirkka Keinänen‐Kiukaanniemi, Kari Kaikkonen, Terhi Piltonen, Juha S. Tapanainen, Juha Auvinen
    Acta Obstetricia et Gynecologica Scandinavica.2024; 103(7): 1318.     CrossRef
  • The effect of gestational diabetes mellitus on carotid artery intima-media thickness in and after pregnancy: a systematic review and meta-analysis
    Andrea Sonaglioni, Elisabetta Piergallini, Angelo Naselli, Gian Luigi Nicolosi, Anna Ferrulli, Stefano Bianchi, Michele Lombardo, Giuseppe Ambrosio
    Acta Diabetologica.2023; 61(2): 139.     CrossRef
  • Prognostic indicators of persistent carotid intima-media thickness increase in postpartum period in a population of normotensive women with gestational diabetes mellitus
    Andrea Sonaglioni, Gian Luigi Nicolosi, Valentina Esposito, Stefano Bianchi, Michele Lombardo
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2022; 269: 47.     CrossRef
  • Pharmacotherapy for gestational diabetes
    Angelo Maria Patti, Rosaria Vincenza Giglio, Kalliopi Pafili, Manfredi Rizzo, Nikolaos Papanas
    Expert Opinion on Pharmacotherapy.2018; 19(13): 1407.     CrossRef
  • Women with a history of gestational diabetes on long-term follow up have normal vascular function despite more dysglycemia, dyslipidemia and adiposity
    Olubukola Ajala, Louise A. Jensen, Edmond Ryan, Constance Chik
    Diabetes Research and Clinical Practice.2015; 110(3): 309.     CrossRef
  • Gestational Diabetes Mellitus in Korean Women: Similarities and Differences from Other Racial/Ethnic Groups
    Catherine Kim
    Diabetes & Metabolism Journal.2014; 38(1): 1.     CrossRef
  • History of Gestational Diabetes Mellitus and Future Risk of Atherosclerosis in Mid‐life: The Coronary Artery Risk Development in Young Adults Study
    Erica P. Gunderson, Vicky Chiang, Mark J. Pletcher, David R. Jacobs, Charles P. Quesenberry, Stephen Sidney, Cora E. Lewis
    Journal of the American Heart Association.2014;[Epub]     CrossRef
  • Association of Gestational Diabetes Mellitus (GDM) with subclinical atherosclerosis: a systemic review and meta-analysis
    Jing-Wei Li, Si-Yi He, Peng Liu, Lin Luo, Liang Zhao, Ying-Bin Xiao
    BMC Cardiovascular Disorders.2014;[Epub]     CrossRef
  • Cardiovascular Disease Risk in the Offspring of Diabetic Women: The Impact of the Intrauterine Environment
    Laura J. Marco, Kate McCloskey, Peter J. Vuillermin, David Burgner, Joanne Said, Anne-Louise Ponsonby
    Experimental Diabetes Research.2012; 2012: 1.     CrossRef
  • The Association between Carotid Atherosclerosis and Glucose
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2011; 35(5): 466.     CrossRef
Increasing Trend in the Number of Severe Hypoglycemia Patients in Korea
Jin Taek Kim, Tae Jung Oh, Ye An Lee, Jun Ho Bae, Hyo Jeong Kim, Hye Seung Jung, Young Min Cho, Kyong Soo Park, Soo Lim, Hak Chul Jang, Hong Kyu Lee
Diabetes Metab J. 2011;35(2):166-172.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.166
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AbstractAbstract PDFPubReader   
Background

To investigate whether the number of subjects with severe hypoglycemia who are brought to a hospital emergency department is increasing and to identify whether there have been changes in the demographic and clinical characteristics of those subjects.

Methods

We analyzed data from the Emergency Departments of two general hospitals in Seoul, Korea. We included data from all adult subjects with type 2 diabetes who presented to an emergency department with severe hypoglycemia between January 1, 2004 and December 30, 2009.

Results

A total of 740 cases of severe hypoglycemia were identified. The mean subject age was 69±12 years, mean duration of diabetes was 13.8±9.3 years, and 53.2% of subjects were receiving insulin therapy. We observed a sharp rise in the number of cases between 2006 and 2007. Stages 3-5 chronic kidney disease was diagnosed in 31.5% of subjects, and low C-peptide levels (<0.6 ng/mL) were found in 25.5%. The mean subject age, duration of diabetes, HbA1c level, and renal and insulin secretory function values did not change significantly during the study period. The proportion of glimepiride use increased, while use of gliclazide decreased among sulfonylurea users. Use of insulin analogues increased, while use of NPH/RI decreased among insulin users.

Conclusion

We identified a sharp increase in the number of subjects with severe hypoglycemia presenting to an emergency room since 2006. The clinical characteristics of these subjects did not change markedly during the study period. Nationwide studies are warranted to further clarify this epidemic of severe hypoglycemia.

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  • Hypoglycemia Unawareness—A Review on Pathophysiology and Clinical Implications
    Laura Hölzen, Bernd Schultes, Sebastian M. Meyhöfer, Svenja Meyhöfer
    Biomedicines.2024; 12(2): 391.     CrossRef
  • Hospital admissions trends for severe hypoglycemia in diabetes patients in Spain, 2005 to 2015
    Domingo Orozco-Beltrán, Alberto Guillen-Mollá, Ana María Cebrián-Cuenca, Jorge Navarro-Pérez, Vicente F. Gil-Guillén, Jose A. Quesada, Francisco J. Pomares-Gómez, Adriana Lopez-Pineda, Concepción Carratalá-Munuera
    Diabetes Research and Clinical Practice.2021; 171: 108565.     CrossRef
  • Trends and risk factors in severe hypoglycemia among individuals with type 2 diabetes in Korea
    Seung Eun Lee, Kyoung-Ah Kim, Kang Ju Son, Sun Ok Song, Kyeong Hye Park, Se Hee Park, Joo Young Nam
    Diabetes Research and Clinical Practice.2021; 178: 108946.     CrossRef
  • Predisposing factors of hypoglycemia in patients with type 2 diabetes mellitus presented with symptomatic hypoglycemia in a tertiary hospital of Bangladesh
    AjitK Paul, A.B.M. Kamrul-Hasan
    Journal of Diabetology.2020; 11(3): 163.     CrossRef
  • Real-world risk of hypoglycemia-related hospitalization in Japanese patients with type 2 diabetes using SGLT2 inhibitors: a nationwide cohort study
    Takeshi Horii, Yoichi Oikawa, Narumi Kunisada, Akira Shimada, Koichiro Atsuda
    BMJ Open Diabetes Research & Care.2020; 8(2): e001856.     CrossRef
  • Association between BMI and risk of severe hypoglycaemia in type 2 diabetes
    J.-S. Yun, Y.-M. Park, K. Han, S.-A. Cha, Y.-B. Ahn, S.-H. Ko
    Diabetes & Metabolism.2019; 45(1): 19.     CrossRef
  • The effects of hypoglycaemia and dementia on cardiovascular events, falls and fractures and all‐cause mortality in older individuals: A retrospective cohort study
    Katharina Mattishent, Kathryn Richardson, Ketan Dhatariya, George M. Savva, Chris Fox, Yoon K. Loke
    Diabetes, Obesity and Metabolism.2019; 21(9): 2076.     CrossRef
  • Detection of asymptomatic drug-induced hypoglycemia using continuous glucose monitoring in older people – Systematic review
    K. Mattishent, Y.K. Loke
    Journal of Diabetes and its Complications.2018; 32(8): 805.     CrossRef
  • Incidence rate and patient characteristics of severe hypoglycemia in treated type 2 diabetes mellitus patients in Japan: Retrospective Diagnosis Procedure Combination database analysis
    Yuika Ikeda, Takekazu Kubo, Eisei Oda, Machiko Abe, Shigeru Tokita
    Journal of Diabetes Investigation.2018; 9(4): 925.     CrossRef
  • A study to evaluate the prevalence of impaired awareness of hypoglycaemia in adults with type 2 diabetes in outpatient clinic in a tertiary care centre in Singapore
    Ling Zhu, Li Chang Ang, Wee Boon Tan, Xiaohui Xin, Yong Mong Bee, Su-Yen Goh, Ming Ming Teh
    Therapeutic Advances in Endocrinology and Metabolism.2017; 8(5): 69.     CrossRef
  • Baseline-Corrected QT (QTc) Interval Is Associated with Prolongation of QTc during Severe Hypoglycemia in Patients with Type 2 Diabetes Mellitus
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Yoon-Goo Kang, Kang-Min Lee, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2016; 40(6): 463.     CrossRef
  • Response: Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes (Diabetes Metab J 2015;39:498-506)
    Jae-Seung Yun, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2016; 40(1): 85.     CrossRef
  • 1,5-Anhydro-D-Glucitol Could Reflect Hypoglycemia Risk in Patients with Type 2 Diabetes Receiving Insulin Therapy
    Min Kyeong Kim, Hye Seung Jung, Soo Heon Kwak, Young Min Cho, Kyong Soo Park, Seong Yeon Kim
    Endocrinology and Metabolism.2016; 31(2): 284.     CrossRef
  • Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(3): 202.     CrossRef
  • Hypoglycemia and Health Costs
    Yong-ho Lee, Gyuri Kim, Eun Seok Kang
    The Journal of Korean Diabetes.2016; 17(1): 11.     CrossRef
  • Bi‐directional interaction between hypoglycaemia and cognitive impairment in elderly patients treated with glucose‐lowering agents: a systematic review and meta‐analysis
    K. Mattishent, Y. K. Loke
    Diabetes, Obesity and Metabolism.2016; 18(2): 135.     CrossRef
  • Trend of antihyperglycaemic therapy and glycaemic control in 184,864 adults with type 1 or 2 diabetes between 2002 and 2014: Analysis of real-life data from the DPV registry from Germany and Austria
    Barbara Bohn, Wolfgang Kerner, Jochen Seufert, Hans-Peter Kempe, Peter M. Jehle, Frank Best, Martin Füchtenbusch, Andreas Knauerhase, Martin Hofer, Joachim Rosenbauer, Reinhard W. Holl
    Diabetes Research and Clinical Practice.2016; 115: 31.     CrossRef
  • Characteristics of Hypoglycemia Pateints Visiting the Emergency Department of a University Hospital
    Sang-Hyeon Choi, Deok-Ki Youn, Moon-Gi Choi, Ohk-Hyun Ryu
    The Journal of Korean Diabetes.2016; 17(3): 202.     CrossRef
  • Increasing trend in emergency department visits for hypoglycemia from patients with type 2 diabetes mellitus in Taiwan
    Ying-Ju Chen, Chen-Chang Yang, Lynn-Chu Huang, Likwang Chen, Chii-Min Hwu
    Primary Care Diabetes.2015; 9(6): 490.     CrossRef
  • Intensive Individualized Reinforcement Education Is Important for the Prevention of Hypoglycemia in Patients with Type 2 Diabetes
    Yun-Mi Yong, Kyung-Mi Shin, Kang-Min Lee, Jae-Young Cho, Sun-Hye Ko, Min-Hyang Yoon, Tae-Won Kim, Jong-Hyun Jeong, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(2): 154.     CrossRef
  • 1,5-Anhydroglucitol as a Useful Marker for Assessing Short-Term Glycemic Excursions in Type 1 Diabetes
    Hannah Seok, Ji Hye Huh, Hyun Min Kim, Byung-Wan Lee, Eun Seok Kang, Hyun Chul Lee, Bong Soo Cha
    Diabetes & Metabolism Journal.2015; 39(2): 164.     CrossRef
  • A nationwide population-based study on the risk of coma, ketoacidosis and hypoglycemia in patients with celiac disease and type 1 diabetes
    Matthew Kurien, Kaziwe Mollazadegan, David S. Sanders, Jonas F. Ludvigsson
    Acta Diabetologica.2015; 52(6): 1167.     CrossRef
  • Blood electrolyte disturbances during severe hypoglycemia in Korean patients with type 2 diabetes
    Mi Yeon Kang
    The Korean Journal of Internal Medicine.2015; 30(5): 648.     CrossRef
  • Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes
    Jae-Seung Yun, Seung-Hyun Ko, Sun-Hye Ko, Ki-Ho Song, Ki-Dong Yoo, Kun-Ho Yoon, Yong-Moon Park, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(6): 498.     CrossRef
  • The Influence of Admission Hypoglycemia on Clinical Outcomes in Acute Myocardial Infarction Patients with Diabetes Mellitus
    Eun Jung Kim, Myung Ho Jeong, In Seok Jeong, Sang Gi Oh, Sang Hyung Kim, Young keun Ahn, Ju Han Kim, Young Jo Kim, Shung Chull Chae, Taek Jong Hong, In Whan Seong, Jei Keon Chae, Chong Jin Kim, Myeong Chan Cho, Ki Bae Seung, Hyo Soo Kim
    Korean Journal of Medicine.2014; 87(5): 565.     CrossRef
  • Corrected QT Interval Prolongation during Severe Hypoglycemia without Hypokalemia in Patients with Type 2 Diabetes
    Jae Won Beom, Jung Min Kim, Eun Joo Chung, Ju Yeong Kim, Seung Yeong Ko, Sang Don Na, Cheol Hwan Kim, Gun Park, Mi Yeon Kang
    Diabetes & Metabolism Journal.2013; 37(3): 190.     CrossRef
  • Presence of Macroalbuminuria Predicts Severe Hypoglycemia in Patients With Type 2 Diabetes
    Jae-Seung Yun, Sun-Hye Ko, Sun-Hee Ko, Ki-Ho Song, Yu-Bae Ahn, Kun-Ho Yoon, Yong-Moon Park, Seung-Hyun Ko
    Diabetes Care.2013; 36(5): 1283.     CrossRef
  • Severe Hypoglycemia in Patients with Diabetes
    Jae Seung Yun, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2012; 36(4): 273.     CrossRef
  • Severe hypoglycaemia requiring the assistance of emergency medical services - frequency, causes and symptoms
    Veronika Krnacova, Ales Kubena, Karel Macek, Martin Bezdek, Alena Smahelova, Jiri Vlcek
    Biomedical Papers.2012; 156(3): 271.     CrossRef
  • Higher Morning to Evening Ratio in Total Dose of Twice-Daily Biphasic Insulin Analog Might Be Effective in Achieving Glucose Control in Patients with Poorly Controlled Type 2 Diabetes
    Yong-Ho Lee, Byung-Wan Lee, Hea Jin Kwon, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes Technology & Therapeutics.2012; 14(6): 508.     CrossRef
A Survey of Diabetic Educators and Patients for the Revision of Korean Food Exchange Lists
Jae Won Cho, Mee Ra Kweon, Young Mi Park, Mi Hye Woo, Hye Sook Yoo, Jeong Hyun Lim, Bo Kyung Koo, Chong Hwa Kim, Hae Jin Kim, Tae Sun Park, Choong Ho Shin, Kyu Chang Won, Soo Lim, Hak Chul Jang
Diabetes Metab J. 2011;35(2):173-181.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.173
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AbstractAbstract PDFPubReader   
Background

Food exchange lists are one of the main methods of nutritional education. However, Korean food exchange lists have not been revised since 1994. Therefore, we surveyed the opinions of diabetes educators and patients with diabetes regarding the need for revision of the current food exchange lists.

Methods

For two weeks beginning on 10 March 2008, a 12-item questionnaire regarding the opinion and need for revision of the current food exchange lists was e-mailed to diabetes educators nationwide. Another 15-question survey was administered to patients with diabetes in 13 hospitals located in the Seoul and Gyeonggi regions of Korea.

Results

We obtained survey responses from 101 diabetes educators and 209 patients; 65 (64.3%) of the educators answered that the current food exchange lists should be revised. The items that needed revision were the glycemic index, addition of new foods and reaffirmation of exchange standard amounts. The patients demanded specific education about choosing appropriate foods, a balanced meal plan, proper snacks, and dining intake.

Conclusion

Our survey results demonstrate the need to revise the Korean food exchange lists. This process should focus on glycemic index, the addition of new foods and reconfirmation of one exchange reference unit.

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    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3325.     CrossRef
  • Development of a Spanish Food Exchange List: Application of Statistical Criteria to a Rationale Procedure
    Iva Marques-Lopes, Susana Menal-Puey, J. Alfredo Martínez, Giuseppe Russolillo
    Journal of the Academy of Nutrition and Dietetics.2018; 118(7): 1161.     CrossRef
  • A Practical Approach to the Management of Micronutrients and Other Nutrients of Concern in Food Exchange Lists for Meal Planning
    Giuseppe Russolillo-Femenías, Susana Menal-Puey, J. Alfredo Martínez, Iva Marques-Lopes
    Journal of the Academy of Nutrition and Dietetics.2018; 118(11): 2029.     CrossRef
  • How much fruit should diabetic patients eat?
    Jeong Hyun Lim
    The Journal of Korean Diabetes.2014; 15(4): 185.     CrossRef
  • Korean Food Exchange Lists for Diabetes: Revised 2010
    Dal Lae Ju, Hak Chul Jang, Young Yun Cho, Jae Won Cho, Hye Sook Yoo, Kyung Suk Choi, Mi Hye Woo, Cheong Min Sohn, Yoo Kyoung Park, Ryo Won Choue
    Journal of Korean Diabetes.2011; 12(4): 228.     CrossRef
  • Korean Food Exchange Lists for Diabetes: Revised 2010
    Dal Lae Ju, Hak Chul Jang, Young Yun Cho, Jae Won Cho, Hye Sook Yoo, Kyung Suk Choi, Mi Hye Woo, Cheong Min Sohn, Yoo Kyoung Park, Ryowon Choue
    The Korean Journal of Nutrition.2011; 44(6): 577.     CrossRef
Gestational Diabetes in Korea: Incidence and Risk Factors of Diabetes in Women with Previous Gestational Diabetes
Hak Chul Jang
Diabetes Metab J. 2011;35(1):1-7.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.1
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AbstractAbstract PDFPubReader   

Korean women with a history of gestational diabetes mellitus (GDM) have a 3.5 times greater risk of developing postpartum diabetes than the general population. The incidence of type 2 diabetes mellitus in early postpartum is reported as 10-15% in Korean women. A prospective follow-up study on Korean women with GDM showed that approximately 40% of women with previous GDM were expected to develop diabetes within 5 years postpartum. Independent risk factors for the development of diabetes in Korean women with previous GDM are pre-pregnancy body weight, gestational age at diagnosis, antepartum hyperglycemia on oral glucose tolerance test, low insulin response to oral glucose load, and family history of diabetes. Women with postpartum diabetes have greater body mass indexes, body weight, and waist circumferences than women with normal glucose tolerance. Multiple logistic regression analysis has revealed that waist circumference is the strongest obesity index along with systolic blood pressure and that triglyceride levels are a major independent risk factor for developing diabetes. These results in Korean women with previous GDM underline the importance of postpartum testing in Korean women diagnosed with GDM, and demonstrate that impaired B-cell function, obesity, and especially visceral obesity, are associated with the development of diabetes.

Citations

Citations to this article as recorded by  
  • Antenatal factors and risk of postpartum hyperglycemia in women with gestational diabetes mellitus: A central India prospective cohort study
    Nilajkumar Bagde, Madhuri Bagde, Vijayalakshmi Shanbhag, Pragati Trigunait, Nagma Sheikh, Sarita Agrawal
    Journal of Family Medicine and Primary Care.2024; 13(1): 59.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Long-term Outcomes of Gestational Diabetes Mellitus, a Retrospective Cohort Study
    Alper İleri, Hande İleri, Can Ata, Ayşe Rabia Şenkaya, Umut Gök Balcı
    Anatolian Journal of Medicine.2023; 32(1): 21.     CrossRef
  • Risk of Gestational Diabetes and Pregnancy-Induced Hypertension with a History of Polycystic Ovary Syndrome: A Nationwide Population-Based Cohort Study
    Seung-Woo Yang, Sang-Hee Yoon, Myounghwan Kim, Yong-Soo Seo, Jin-Sung Yuk
    Journal of Clinical Medicine.2023; 12(5): 1738.     CrossRef
  • Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review
    Yitayeh Belsti, Lisa Moran, Demelash Woldeyohannes Handiso, Vincent Versace, Rebecca Goldstein, Aya Mousa, Helena Teede, Joanne Enticott
    Current Diabetes Reports.2023; 23(9): 231.     CrossRef
  • The Incidence and Management of Type 2 Diabetes Mellitus After Gestational Diabetes Mellitus
    Chinyere L Ikoh Rph., Roland Tang Tinong
    Cureus.2023;[Epub]     CrossRef
  • Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?
    Sedat Akgöl, Mehmet Şükrü Budak, Süleyman Cemil Oğlak, Fatma Ölmez, Mehmet Emin Dilek, Serhat Kartal
    Journal of Obstetrics and Gynaecology Research.2022; 48(3): 634.     CrossRef
  • The role of plasminogen activator inhibitor-1 in gynecological and obstetrical diseases: An update review
    Jiaqi Zhai, Zijian Li, Yue Zhou, Xiuhua Yang
    Journal of Reproductive Immunology.2022; 150: 103490.     CrossRef
  • Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • Specificities of the Diabetic Population in French Guiana: The Health Barometer Survey
    Nadia Sabbah, Mickael. Massicard , Nacher Mathieu
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study
    Mi Jin Choi, Jimi Choi, Chae Weon Chung
    Endocrinology and Metabolism.2022; 37(1): 112.     CrossRef
  • Early pregnancy body mass index and gestational weight gain: A mediating or moderating factor for short stature and risk of gestational diabetes mellitus?
    Heng Yaw Yong, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, Zulida Rejali, Yvonne Yee Siang Tee, Jacques Bindels, Eline M. van der Beek, Mohammad Asghari Jafarabadi
    PLOS ONE.2022; 17(8): e0272253.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
    Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(6): 890.     CrossRef
  • Longitudinal Changes of High Molecular Weight Adiponectin are Associated with Postpartum Development of Type 2 Diabetes Mellitus in Patients with Gestational Diabetes Mellitus
    Dong-Hwa Lee, Jung Ah Lim, Jung Hee Kim, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
    Endocrinology and Metabolism.2021; 36(1): 114.     CrossRef
  • Vitamin D Deficiency at Mid-Pregnancy Is Associated with a Higher Risk of Postpartum Glucose Intolerance in Women with Gestational Diabetes Mellitus
    Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
    Endocrinology and Metabolism.2020; 35(1): 97.     CrossRef
  • Long-Term Postpartum Outcomes of Insulin Resistance and β-cell Function in Women with Previous Gestational Diabetes Mellitus
    Zhirong Miao, Honghua Wu, Liu Ren, Nan Bu, Lili Jiang, Huixia Yang, Junqing Zhang, Xiaohui Guo
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
    Jung A Kim, Jinsil Kim, Eun Roh, So-hyeon Hong, You-Bin Lee, Sei Hyun Baik, Kyung Mook Choi, Eunjin Noh, Soon Young Hwang, Geum Joon Cho, Hye Jin Yoo
    BMJ Open Diabetes Research & Care.2020; 8(1): e001084.     CrossRef
  • Oral Glucose Tolerance Testing Allows Better Prediction of Diabetes in Women with a History of Gestational Diabetes Mellitus
    Tae Jung Oh, Yeong Gi Kim, Sunyoung Kang, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Hak C. Jang, Joon-Seok Hong, Nam H. Cho
    Diabetes & Metabolism Journal.2019; 43(3): 342.     CrossRef
  • Maternal abdominal subcutaneous fat thickness as a simple predictor for gestational diabetes mellitus
    Mehmet Sukru Budak, Ilker Kahramanoglu, Salvatore Giovanni Vitale, Sedat Akgol, Mehmet Emin Dilek, Serhat Kartal, Salvatore Caruso, Bekir Kahveci, Mehmet Obut, Muhammed Hanifi Bademkiran, Antonio Cianci
    Journal of Perinatal Medicine.2019; 47(6): 605.     CrossRef
  • Associations between higher egg consumption during pregnancy with lowered risks of high blood pressure and gestational diabetes mellitus
    Alireza Milajerdi, Hatav Tehrani, Fahimeh Haghighatdoost, Bagher Larijani, Pamela J. Surkan, Leila Azadbakht
    International Journal for Vitamin and Nutrition Research.2018; 88(3-4): 166.     CrossRef
  • Gestational diabetes with diabetes and prediabetes risks: a large observational study
    Yun Shen, Peng Wang, Leishen Wang, Shuang Zhang, Huikun Liu, Weiqin Li, Nan Li, Wei Li, Junhong Leng, Jing Wang, Huiguang Tian, Cuilin Zhang, Jaakko Tuomilehto, Xilin Yang, Zhijie Yu, Gang Hu
    European Journal of Endocrinology.2018; 179(1): 51.     CrossRef
  • Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system
    Min Kyoung Kim, Seung Mi Lee, Sung-Hee Bae, Hyun Joo Kim, Nam Gu Lim, Seok-Jun Yoon, Jin Yong Lee, Min-Woo Jo
    International Journal for Equity in Health.2018;[Epub]     CrossRef
  • The Effect of Common and Possible Risk Factors’ Co-occurrence to the Development of Gestational Diabetes Mellitus
    Eren Gürkan, Emre Dirican, Neşe Bülbül
    Ankara Medical Journal.2018;[Epub]     CrossRef
  • Postpartum risk of diabetes and predictive factors for glucose intolerance in East Asian women with gestational diabetes
    Hiromi Inoue, Ko Ishikawa, Kenji Takeda, Akina Kobayashi, Kenichi Kurita, Jin Kumagai, Hidetaka Yokoh, Koutaro Yokote
    Diabetes Research and Clinical Practice.2018; 140: 1.     CrossRef
  • Prevalence and risk factors for gestational diabetes mellitus according to the Diabetes in Pregnancy Study Group India in comparison to Internationa Association of the Diabetes and Pregnancy Study Groups in El-Minya, Egypt
    Ghada M. El Sagheer, Lamia Hamdi
    The Egyptian Journal of Internal Medicine.2018; 30(3): 131.     CrossRef
  • Seremban Cohort Study (SECOST): a prospective study of determinants and pregnancy outcomes of maternal glycaemia in Malaysia
    Heng Yaw Yong, Zalilah Mohd Shariff, Zulida Rejali, Barakatun Nisak Mohd Yusof, Farah Yasmin, Lalitha Palaniveloo
    BMJ Open.2018; 8(1): e018321.     CrossRef
  • Prevention of type 2 diabetes mellitus in women with previous gestational diabetes mellitus
    Joon Ho Moon, Soo Heon Kwak, Hak C. Jang
    The Korean Journal of Internal Medicine.2017; 32(1): 26.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Incidence and Contributing Factors of Persistent Hyperglycemia at 6–12 Weeks Postpartum in Iranian Women with Gestational Diabetes: Results from LAGA Cohort Study
    Sedigheh Nouhjah, Hajieh Shahbazian, Nahid Shahbazian, Alireza Jahanshahi, Shayesteh Jahanfar, Bahman Cheraghian
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • The effect of high-intensity breastfeeding on postpartum glucose tolerance in women with recent gestational diabetes
    Ichiro Yasuhi, Tomoko Soda, Hiroshi Yamashita, Atsuko Urakawa, Mihoko Izumi, Yukari Kugishima, Yasushi Umezaki
    International Breastfeeding Journal.2017;[Epub]     CrossRef
  • Perinatal Outcomes according to Screening Timing in Gestational Diabetic Women with Family History of Diabetes
    Han-Sung Kwon, Seo-Yeon Kim, JiEun Park, Han-Sung Hwang, In-Sook Sohn
    Perinatology.2017; 28(4): 151.     CrossRef
  • Predictors of type 2 diabetes among Taiwanese women with prior gestational diabetes mellitus
    Pei‐Chao Lin, Chich‐Hsiu Hung, Ruei‐Dian Huang, Te‐Fu Chan
    Japan Journal of Nursing Science.2016; 13(1): 3.     CrossRef
  • Prevalence of Gestational Diabetes Mellitus in Korea: A National Health Insurance Database Study
    Bo Kyung Koo, Joon Ho Lee, Jimin Kim, Eun Jin Jang, Chang-Hoon Lee, Noel Christopher Barengo
    PLOS ONE.2016; 11(4): e0153107.     CrossRef
  • Diagnostic value of haemoglobin A1c in post‐partum screening of women with gestational diabetes mellitus
    K.‐S. Kim, S.‐K. Kim, Y.‐W. Cho, S. W. Park
    Diabetic Medicine.2016; 33(12): 1668.     CrossRef
  • Patterns of Diagnosis and Risk Factors for Type 2 Diabetes in Women with a History of Gestational Diabetes Mellitus
    Mi Jin Choi, Chae Weon Chung
    Perspectives in Nursing Science.2016; 13(1): 17.     CrossRef
  • Risk factors for postpartum glucose intolerance in women with gestational diabetes mellitus
    Nobue Kojima, Kenji Tanimura, Masashi Deguchi, Mayumi Morizane, Yushi Hirota, Wataru Ogawa, Hideto Yamada
    Gynecological Endocrinology.2016; 32(10): 803.     CrossRef
  • Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus
    Nam H. Cho, Chang Ho Ahn, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Boyd E. Metzger, Hak C. Jang
    Medicine.2016; 95(35): e4582.     CrossRef
  • Insulin resistance and lipid profile during an oral glucose tolerance test in women with and without gestational diabetes mellitus
    ZX. Liang, Y. Wu, XY. Zhu, Q. Fang, DQ. Chen
    Journal of Obstetrics and Gynaecology.2016; 36(3): 337.     CrossRef
  • Fasting and 2-hour plasma glucose, and HbA1c in pregnancy and the postpartum risk of diabetes among Chinese women with gestational diabetes
    Huikun Liu, Shuang Zhang, Leishen Wang, Junhong Leng, Weiqin Li, Nan Li, Min Li, Yijuan Qiao, Huiguang Tian, Jaakko Tuomilehto, Xilin Yang, Zhijie Yu, Gang Hu
    Diabetes Research and Clinical Practice.2016; 112: 30.     CrossRef
  • Glucose tolerance status of Asian Indian women with gestational diabetes at 6weeks to 1year postpartum (WINGS-7)
    Balaji Bhavadharini, Ranjit Mohan Anjana, Manni Mohanraj Mahalakshmi, Kumar Maheswari, Arivudainambi Kayal, Ranjit Unnikrishnan, Harish Ranjani, Lyudmil Ninov, Sonak D. Pastakia, Sriram Usha, Belma Malanda, Anne Belton, Ram Uma, Viswanathan Mohan
    Diabetes Research and Clinical Practice.2016; 117: 22.     CrossRef
  • Identification of Genetic Variants of Gestational Diabetes in South Indians
    Sekar Kanthimathi, Manickam Chidambaram, Samuel Liju, Balaji Bhavadharini, Dhanasekaran Bodhini, Visvanathan Gnana Prakash, Anandakumar Amutha, Aruyerchelvan Bhavatharini, Ranjit Mohan Anjana, Viswanathan Mohan, Venkatesan Radha
    Diabetes Technology & Therapeutics.2015; 17(7): 462.     CrossRef
  • Changing relative contribution of abdominal obesity and a family history of diabetes on prevalence of diabetes mellitus in Korean men and women aged 30–49 years from 2001 to 2010 从2001至2010年在韩国30–49岁年龄段的男性与女性中腹型肥胖以及糖尿病家族史对糖尿病患病率相对贡献度的变化
    Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Kyong Soo Park, Min Kyong Moon
    Journal of Diabetes.2015; 7(4): 465.     CrossRef
  • Gestational diabetes: Linking epidemiology, excessive gestational weight gain, adverse pregnancy outcomes, and future metabolic syndrome
    Celeste Durnwald
    Seminars in Perinatology.2015; 39(4): 254.     CrossRef
  • Prepregnancy body mass index and weight change on postpartum diabetes risk among gestational diabetes women
    Huikun Liu, Cuiping Zhang, Shuang Zhang, Leishen Wang, Junhong Leng, Dongdong Liu, Han Fang, Weiqin Li, Zhijie Yu, Xilin Yang, Ling Dong, Gang Hu
    Obesity.2014; 22(6): 1560.     CrossRef
  • Gestational Diabetes Mellitus in Korean Women: Similarities and Differences from Other Racial/Ethnic Groups
    Catherine Kim
    Diabetes & Metabolism Journal.2014; 38(1): 1.     CrossRef
  • Risk Factors for Progression to Postpartum Diabetes Mellitus and Perinatal Complications in Women with Gestational Diabetes Mellitus
    Su jeong Kim, Hyunji Chun, Eun-Hee Jang, Joune Seup Lee, MeeKyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    The Journal of Korean Diabetes.2014; 15(2): 116.     CrossRef
  • The influence of weight gain patterns in pregnancy on fetal growth using cluster analysis in an obese and nonobese population
    S. Galjaard, A. Pexsters, R. Devlieger, I. Guelinckx, Y. Abdallah, C. Lewis, B. van Calster, T. Bourne, D. Timmerman, J. Luts
    Obesity.2013; 21(7): 1416.     CrossRef
  • Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score
    Soo Heon Kwak, Sung Hee Choi, Kyunga Kim, Hye Seung Jung, Young Min Cho, Soo Lim, Nam H. Cho, Seong Yeon Kim, Kyong Soo Park, Hak C. Jang
    Diabetologia.2013; 56(12): 2556.     CrossRef
  • Obstetricians, Perhaps It’s Time to Change Lenses
    Yap Seng Chong, Sir Sabaratnam Arulkumaran
    Annals of the Academy of Medicine, Singapore.2013; 42(2): 61.     CrossRef
  • Finding Genetic Risk Factors of Gestational Diabetes
    Soo Heon Kwak, Hak C. Jang, Kyong Soo Park
    Genomics & Informatics.2012; 10(4): 239.     CrossRef
  • Association of Variations in TPH1 and HTR2B with Gestational Weight Gain and Measures of Obesity
    Soo Heon Kwak, Byoung Lae Park, Hail Kim, Michael S. German, Min Jin Go, Hye Seung Jung, Bo Kyong Koo, Young Min Cho, Sung Hee Choi, Yoon Shin Cho, Hyoung Doo Shin, Hak C. Jang, Kyong Soo Park
    Obesity.2012; 20(1): 233.     CrossRef
  • A Genome-Wide Association Study of Gestational Diabetes Mellitus in Korean Women
    Soo Heon Kwak, Sung-Hoon Kim, Young Min Cho, Min Jin Go, Yoon Shin Cho, Sung Hee Choi, Min Kyong Moon, Hye Seung Jung, Hyoung Doo Shin, Hyun Min Kang, Nam H. Cho, In Kyu Lee, Seong Yeon Kim, Bok-Ghee Han, Hak C. Jang, Kyong Soo Park
    Diabetes.2012; 61(2): 531.     CrossRef
  • Comparative analysis of current diagnostic criteria for gestational diabetes mellitus
    Mariya V Boyadzhieva, Iliana Atanasova, Sabina Zacharieva, Tsvetalina Tankova, Violeta Dimitrova
    Obstetric Medicine.2012; 5(2): 71.     CrossRef
  • The Epidemiology of Diabetes in Korea
    Dae Jung Kim
    Diabetes & Metabolism Journal.2011; 35(4): 303.     CrossRef
A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
Diabetes Metab J. 2011;35(1):50-57.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.50
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AbstractAbstract PDFPubReader   
Background

Advanced information technology can be used when developing diagnostic and treatment strategies to provide better care for diabetic patients. However, the levels of need and demand for the use of technological advances have not been investigated in diabetic patients. We proposed and developed an individualized, ubiquitous (U)-healthcare service using advanced information technology for more effective glucose control. Prior to our service initiation, we surveyed patient needs and other pertinent information.

Methods

During August 2009, we conducted a 34-item questionnaire survey among patients with diabetes who were older than 40 years in two certain hospitals in Korea.

Results

The mean age of the 228 participants was 61.2±9 years, and males made up 49.1% of the sample. Seventy-one percent replied that they wanted individualized healthcare service, and they also wanted their health information to be delivered through mobile devices such as a cellular phone or a personal digital assistant (40.4%). Most patients had never heard of U-healthcare services (81.1%); however, after explaining the concept, 71.1% of participants responded that they would use the service if it was provided. Despite their willingness, participants were concerned about technical difficulty in using the service (26.3%) as well as the cost of the service (29.8%).

Conclusion

The current study suggests that more than 70% of diabetic patients are interested in using U-healthcare services. To encourage widespread use, the application program or device of U-healthcare services should be simple, easy to use and affordable while also including a policy for the protection of private information.

Citations

Citations to this article as recorded by  
  • Pseudonym revocation system for IoT-based medical applications
    Nabila Bermad, Salah Zemmoudj, Louiza Bouallouche-Medjkoune, Lyes Khoukhi
    Computer Networks.2025; 257: 110983.     CrossRef
  • Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
    Agmasie Damtew Walle, Tigist Andargie Ferede, Adamu Ambachew Shibabaw, Sisay Maru Wubante, Habtamu Alganeh Guadie, Chalachew Msganaw Yehula, Addisalem Workie Demsash
    BMJ Health & Care Informatics.2023; 30(1): e100761.     CrossRef
  • Development and Operation of a Video Teleconsultation System Using Integrated Medical Equipment Gateway: a National Project for Workers in Underserved Areas
    Hyun Sang Park, Kwang il Kim, Jae Young Soh, Young Ho Hyun, Bang Eun Lee, Jong Hwa Lee, Jung Gwon Jo, Han Chae Lee, Hwa Sun Kim
    Journal of Medical Systems.2020;[Epub]     CrossRef
  • Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population
    Sireen Abdul Rahim Shilbayeh, Sahar Abd El Rahman Ismail, Meihua Qian
    Cogent Psychology.2020;[Epub]     CrossRef
  • Smart Care Based on Telemonitoring and Telemedicine for Type 2 Diabetes Care: Multi-Center Randomized Controlled Trial
    Ji Yun Jeong, Jae-Han Jeon, Kwi-Hyun Bae, Yeon-Kyung Choi, Keun-Gyu Park, Jung-Guk Kim, Kyu Chang Won, Bong Soo Cha, Chul Woo Ahn, Dong Won Kim, Chang Hee Lee, In-Kyu Lee
    Telemedicine and e-Health.2018; 24(8): 604.     CrossRef
  • Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
    Hun-Sung Kim, So Jung Yang, Yoo Jin Jeong, Young-Eun Kim, Seok-Won Hong, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2017; 41(3): 213.     CrossRef
  • Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study
    Tomomi Shibuta, Kayo Waki, Nobuko Tomizawa, Ayumi Igarashi, Noriko Yamamoto-Mitani, Satoko Yamaguchi, Hideo Fujita, Shigeko Kimura, Katsuhito Fujiu, Hironori Waki, Yoshihiko Izumida, Takayoshi Sasako, Masatoshi Kobayashi, Ryo Suzuki, Toshimasa Yamauchi, T
    BMJ Open Diabetes Research & Care.2017; 5(1): e000322.     CrossRef
  • Evaluating the Effect of Web-Based Iranian Diabetic Personal Health Record App on Self-Care Status and Clinical Indicators: Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Hamed Tabesh, Mahmood Tara
    JMIR Medical Informatics.2016; 4(4): e32.     CrossRef
  • Development, Validation, and Evaluation of Web-Based Iranian Diabetic Personal Health Record: Rationale for and Protocol of a Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Mahmood Tara
    JMIR Research Protocols.2016; 5(1): e39.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • Environment and Its Influence on Health and Demographics in South Korea
    Ramiro Bravo Santisteban, Young Kim, Umar Farooq, Tae-Seong Kim, Sekyoung Youm, Seung-Hun Park
    International Journal of Environmental Research and Public Health.2016; 13(2): 183.     CrossRef
  • U-Healthcare Center Service in Busan City, South Korea: An Empirical Analysis and the Results of 1 Year of Service
    Ramiro D. Bravo Santisteban, Sekyoung Youm, Seung-Hun Park
    Telemedicine and e-Health.2015; 21(10): 774.     CrossRef
  • Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare
    Mi Jung Rho, Kun Ho Yoon, Hun-Sung Kim, In Young Choi
    Multimedia Tools and Applications.2015; 74(7): 2483.     CrossRef
  • An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises
    Hsueh-Chun Lin, Shu-Yin Chiang, Kai Lee, Yao-Chiang Kan
    Sensors.2015; 15(1): 2181.     CrossRef
  • Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
    Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee, Ju Han Kim
    Healthcare Informatics Research.2015; 21(4): 244.     CrossRef
  • New Directions in Chronic Disease Management
    Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
    Endocrinology and Metabolism.2015; 30(2): 159.     CrossRef
  • Using mobile phones in healthcare management for the elderly
    Hun-Sung Kim, Kye-Hwa Lee, Hyunah Kim, Ju Han Kim
    Maturitas.2014; 79(4): 381.     CrossRef
  • Future Prospects of Health Management Systems Using Cellular Phones
    Hun-Sung Kim, Yunji Hwang, Jae-Ho Lee, Hye Young Oh, Yi-Jun Kim, Hyeon Yoon Kwon, Hyoseung Kang, Hyunah Kim, Rae Woong Park, Ju Han Kim
    Telemedicine and e-Health.2014; 20(6): 544.     CrossRef
  • Exploring the Relationship Among User Satisfaction, Compliance, and Clinical Outcomes of Telemedicine Services for Glucose Control
    Mi Jung Rho, Si Ra Kim, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Seong K. Mun, In Young Choi
    Telemedicine and e-Health.2014; 20(8): 712.     CrossRef
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Insulin Secretion and Incretin Hormone Concentration in Women with Previous Gestational Diabetes Mellitus
Sung Hoon Yu, Bongjun Cho, Yejin Lee, Eunhye Kim, Sung Hee Choi, Soo Lim, Ka Hee Yi, Young Joo Park, Kyong Soo Park, Hak Chul Jang
Diabetes Metab J. 2011;35(1):58-64.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.58
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AbstractAbstract PDFPubReader   
Background

We examined the change in the levels of incretin hormone and effects of glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide 1 (GLP-1) on insulin secretion in women with previous gestational diabetes (pGDM).

Methods

A 75-g oral glucose tolerance test (OGTT) was conducted on 34 women with pGDM. In addition, 11 women with normal glucose tolerance, matched for age, height and weight, were also tested. The insulin, GIP, GLP-1, and glucagon concentrations were measured, and their anthropometric and biochemical markers were also measured.

Results

Among 34 women with pGDM, 18 had normal glucose tolerance, 13 had impaired glucose tolerance (IGT) and 1 had diabetes. No significant differences were found in GLP-1 concentration between the pGDM and control group. However, a significantly high level of glucagon was present in the pGDM group at 30 minutes into the OGTT. The GIP concentration was elevated at 30 minutes and 60 minutes in the pGDM group. With the exception of the 30-minute timepoint, women with IGT had significantly high blood glucose from 0 to 120 minutes. However, there was no significant difference in insulin or GLP-1 concentration. The GIP level was significantly high from 0 to 90 minutes in patients diagnosed with IGT.

Conclusion

GLP-1 secretion does not differ between pGDM patients and normal women. GIP was elevated, but that does not seem to induce in increase in insulin secretion. Therefore, we conclude that other factors such as heredity and environment play important roles in the development of type 2 diabetes.

Citations

Citations to this article as recorded by  
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