Diabetes & Metabolism Journal

Volume 34(2); April 2010

Reviews

Functional and Mechanistic Integration of Infection and the Metabolic Syndrome: Peter Sommer, Gary Sweeney; Korean Diabetes J. 2010;34(2):71-76. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.71

3,731 View
29 Download
15 Crossref

The metabolic syndrome refers to a well defined group of risk factors, including central obesity and inflammation, for the development of diabetes and cardiovascular disease. Interestingly, many studies have recently led to the emergence of somewhat unexpected relationships between several infectious diseases and various aspects of the metabolic syndrome. Our understanding of the mechanisms underlying these interactions is also rapidly developing and some of these are summarized in this article. We will focus first on bacterial infection, and most notably the role of gut microbiota in regulaton of both obesity and inflammation. In particular, we focus on the role of inflammasomes and propose that understanding the role of Toll-like receptors and Nod-like receptors in the pathogenesis of inflammatory disorders with or without infection may provide novel targets for prevention and/or treatment of associated diseases. Secondly, chronic bacterial or viral infection and emerging links with metabolism will be reviewed. Finally, consideratons of biomarkers for metabolic syndrome, in particular lipocalin-2, and their link with infection will be discussed.

Citations

Citations to this article as recorded by

The immunology of sickness metabolism
Felix M. Wensveen, Marko Šestan, Bojan Polić
Cellular & Molecular Immunology.2024; 21(9): 1051. CrossRef
The Antimicrobial Activity of Origanum vulgare L. Correlated with the Gastrointestinal Perturbation in Patients with Metabolic Syndrome
Timea Claudia Ghitea, Amina El-Kharoubi, Mariana Ganea, Erika Bimbo-Szuhai, Tiberiu Sebastian Nemeth, Gabriela Ciavoi, Monica Foghis, Luciana Dobjanschi, Annamaria Pallag, Otilia Micle
Molecules.2021; 26(2): 283. CrossRef
COVID-19 severity in relation to sociodemographics and vitamin D use
Darya Saeed Abdulateef, Heshu Sulaiman Rahman, Jamal Mahmood Salih, Sangar Mahmoud Osman, Trifa Abdalla Mahmood, Shirwan Hama Salih Omer, Rana Adnan Ahmed
Open Medicine.2021; 16(1): 591. CrossRef
Iron Reshapes the Gut Microbiome and Host Metabolism
Amy Botta, Nicole G. Barra, Nhat Hung Lam, Samantha Chow, Kostas Pantopoulos, Jonathan D. Schertzer, Gary Sweeney
Journal of Lipid and Atherosclerosis.2021; 10(2): 160. CrossRef
Alteration in Cellular Signaling and Metabolic Reprogramming during Viral Infection
Anil Pant, Lara Dsouza, Zhilong Yang, Benjamin Gewurz, Vinayaka R. Prasad
mBio.2021;[Epub] CrossRef
Factors increasing the risk of mortality and morbidity due to coronavirus infection in patients with metabolic syndrome
Altansuvd Enkhtur, Joon-Sup Yoon, Chang-Woo Lee
Precision and Future Medicine.2020; 4(3): 83. CrossRef
Holo-lipocalin-2–derived siderophores increase mitochondrial ROS and impair oxidative phosphorylation in rat cardiomyocytes
Erfei Song, Sofhia V. Ramos, Xiaojing Huang, Ying Liu, Amy Botta, Hye Kyoung Sung, Patrick C. Turnbull, Michael B. Wheeler, Thorsten Berger, Derek J. Wilson, Christopher G. R. Perry, Tak W. Mak, Gary Sweeney
Proceedings of the National Academy of Sciences.2018; 115(7): 1576. CrossRef
Tuberculosis of the Breast: An Initial Presentation of the Metabolic Syndrome with Type 2 Diabetes Mellitus in a Young Nigerian Woman
M. A. Adeiza, R. Yusuf, A. A. Liman, P. Abur, F. Bello, A. A. Abba
Case Reports in Infectious Diseases.2016; 2016: 1. CrossRef
Systematic Review of the Relation Between Intestinal Microbiota and Toll-Like Receptors in the Metabolic Syndrome: What Do We Know So Far?
José Pedro Portela-Cidade, Marta Borges-Canha, Adelino Ferreira Leite-Moreira, Pedro Pimentel-Nunes
GE Portuguese Journal of Gastroenterology.2015; 22(6): 240. CrossRef
Impact of Cadmium Exposure on the Association between Lipopolysaccharide and Metabolic Syndrome
Seung Han, Kyoung Ha, Ja Jeon, Hae Kim, Kwan Lee, Dae Kim
International Journal of Environmental Research and Public Health.2015; 12(9): 11396. CrossRef
Regulation of Iron and Its Significance in Obesity and Complications
Yee Kwan Chan, Hye Kyoung Sung, Gary Sweeney
The Korean Journal of Obesity.2014; 23(4): 222. CrossRef
Direct effects of adipokines on the heart: focus on adiponectin
Min Park, Gary Sweeney
Heart Failure Reviews.2013; 18(5): 631. CrossRef
The Thioredoxin System as a Therapeutic Target in Human Health and Disease
Dler Faieeq Darweesh Mahmood, Amna Abderrazak, Khadija El Hadri, Thomas Simmet, Mustapha Rouis
Antioxidants & Redox Signaling.2013; 19(11): 1266. CrossRef
Immunoglobulin E and mast cell proteases are potential risk factors of impaired fasting glucose and impaired glucose tolerance in humans
Zhen Wang, Hong Zhang, Xu-Hui Shen, Kui-Li Jin, Guo-fen Ye, Wei Qiu, Li Qian, Bo Li, Yong-Hong Zhang, Guo-Ping Shi
Annals of Medicine.2013; 45(3): 220. CrossRef
Immunoglobulin E and Mast Cell Proteases Are Potential Risk Factors of Human Pre-Diabetes and Diabetes Mellitus
Zhen Wang, Hong Zhang, Xu-Hui Shen, Kui-Li Jin, Guo-fen Ye, Li Qian, Bo Li, Yong-Hong Zhang, Guo-Ping Shi, Yiqing Song
PLoS ONE.2011; 6(12): e28962. CrossRef

Cell Replacement and Regeneration Therapy for Diabetes: Hee-Sook Jun; Korean Diabetes J. 2010;34(2):77-83. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.77

2,776 View
31 Download
5 Crossref

Abstract PDF PubReader

Reduction of beta cell function and a beta cell mass is observed in both type 1 and type 2 diabetes. Therefore, restoration of this deficiency might be a therapeutic option for treatment of diabetes. Islet transplantation has benefits, such as reduced incidence of hypoglycemia and achievement of insulin independence. However, the major drawback is an insufficient supply of islet donors. Transplantation of cells differentiated in vitro or in vivo regeneration of insulin-producing cells are possible approaches for beta cell/islet regenerative therapy. Embryonic and adult stem cells, pancreatic ductal progenitor cells, acinar cells, and other endocrine cells have been shown to differentiate into pancreatic beta cells. Formation of fully functional beta cells and the safety of these cells are critical issues for successful clinical application.

Citations

Citations to this article as recorded by

The efficiency of stem cell differentiation into functional beta cells for treating insulin-requiring diabetes: Recent advances and current challenges
Yunfei Luo, Peng Yu, Jianping Liu
Endocrine.2024;[Epub] CrossRef
Direct Reprogramming of Mice Skin Fibroblasts into Insulin-Producing CellsIn Vitro
Israa S. Salman, Ahmed Majeed Al-Shammari, Mukhtar Khamis Haba
Cellular Reprogramming.2022; 24(5): 271. CrossRef
Effects of β-like cell autotransplantation through hepatic arterial intervention on diabetic dogs
Yongxu Mu, Zhiming Hao, Junfeng He, Ruiqiang Yan, Haiyan Liu, Lei Zhang, Heming Liu, Xiaoyan Hu, Qiming Li
Artificial Cells, Nanomedicine, and Biotechnology.2016; 44(5): 1333. CrossRef
Meeting the Need for Regenerative Therapies I: Target-Based Incidence and Its Relationship to U.S. Spending, Productivity, and Innovation
Nancy Parenteau, Janet Hardin-Young, William Shannon, Patrick Cantini, Alan Russell
Tissue Engineering Part B: Reviews.2012; 18(2): 139. CrossRef
Glucose-stimulated insulin secretion of various mesenchymal stem cells after insulin-producing cell differentiation
Su-Jung Kim, Yong-Soo Choi, Eun-Sun Ko, Sang-Min Lim, Chang-Woo Lee, Dong-Il Kim
Journal of Bioscience and Bioengineering.2012; 113(6): 771. CrossRef

Editorial

Serum Cystatin C as a Biomarker for Predicting Coronary Artery Disease in Diabetes: Jee-Young Oh; Korean Diabetes J. 2010;34(2):84-85. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.84

2,854 View
32 Download
5 Crossref

PDF PubReader

Citations

Citations to this article as recorded by

Cardiovascular Biomarkers: Lessons of the Past and Prospects for the Future
Farah Omran, Ioannis Kyrou, Faizel Osman, Ven Gee Lim, Harpal Singh Randeva, Kamaljit Chatha
International Journal of Molecular Sciences.2022; 23(10): 5680. CrossRef
Biochemical changes in oxidative stress markers following endurance training and consumption of purslane seed in rats with hydrogen peroxide-induced toxicity
Rahman Soori, Valiollah Shahedi, Ali Akbarnejad, Siroos Choobineh
Sport Sciences for Health.2019; 15(1): 133. CrossRef
Effect of purslane on blood lipids and glucose: A systematic review and meta‐analysis of randomized controlled trials
Amir Hadi, Makan Pourmasoumi, Ameneh Najafgholizadeh, Marziyeh Kafeshani, Amirhossein Sahebkar
Phytotherapy Research.2019; 33(1): 3. CrossRef
Purslane (Portulaca oleracea) Seed Consumption And Aerobic Training Improves Biomarkers Associated with Atherosclerosis in Women with Type 2 Diabetes (T2D)
Firouzeh Dehghan, Rahman Soori, Khadijeh Gholami, Mitra Abolmaesoomi, Ashril Yusof, Sekaran Muniandy, Sara Heidarzadeh, Parvin Farzanegi, Mohammad Ali azarbayjani
Scientific Reports.2016;[Epub] CrossRef
Biomarkers for Diabetes Complications: The Results of Several Clinical Studies
Diler Aslan
Journal of Medical Biochemistry.2011; 30(3): 207. CrossRef

Original Articles

Small Rice Bowl-Based Meal Plan versus Food Exchange-Based Meal Plan for Weight, Glucose and Lipid Control in Obese Type 2 Diabetic Patients: Hee-Jung Ahn, Kyung-Ah Han, Hwi-Ryun Kwon, Bo-Kyung Koo, Hyun-Jin Kim, Kang-Seo Park, Kyung-Wan Min; Korean Diabetes J. 2010;34(2):86-94. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.86

3,763 View
36 Download
10 Crossref

Abstract PDF PubReader

Background

The Korean National Health and Nutrition Examination Surveys reported 65% of daily energy intake (EI) as carbohydrate (CHO) in the Korean population and main source of CHO was cooked rice. We used a standardized-small sized rice bowl for diet education and investigated its effectiveness on body weight, glucose and lipid, compared to the conventional food exchange system in type 2 diabetes obese women.

Methods

Type 2 diabetic women with body mass index ≥ 23 kg/m² were randomly assigned to small rice bowl-based meal plan (BM) and food exchange-based meal plan (ExM) group. Both groups were asked to reduce their EI by 500 kcal/day for 12 weeks. The macronutrient composition was instructed: 55 to 60% of EI as CHO, 15 to 20% as protein, and 20 to 25% as fat. BM group received only a simple instruction for application of the rice bowl. Nutrient intake was estimated with the 3-day dietary records.

Results

Finally, 44 subjects finished the study. The percent reduction of body weight was significant both BM group (-5.1 ± 2.6%) and ExM group (-4.8 ± 2.8%) after 12 weeks (P < 0.001) but there was no difference between the groups. There was no difference in the proportional change of CHO, protein and fat in EI between the groups. Additionally, the change of HbA1c and low density lipoprotein-cholesterol were not significantly different between the two groups.

Conclusion

The BM group was as effective as ExM for body weight and glucose control in type 2 diabetes obese women.

Citations

Citations to this article as recorded by

Development of a Sport Food Exchange List for Dietetic Practice in Sport Nutrition
José Miguel Martínez-Sanz, Susana Menal-Puey, Isabel Sospedra, Giuseppe Russolillo, Aurora Norte, Iva Marques-Lopes
Nutrients.2020; 12(8): 2403. CrossRef
The Effect of Combined Therapy with Fenugreek and Nutrition Training Based on Iranian Traditional Medicine on FBS, HgA1c, BMI, and Waist Circumference in Type 2 Diabetic Patients: a Randomized Double Blinded Clinical Trial
Seyyedeh Seddigheh Hassani, Arezodar Fallahi, Seyyed Saeid Esmaeili, Mohammad Gholami Fesharaki
Journal of Advances in Medical and Biomedical Research.2019; 27(120): 37. 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
Anemia is inversely associated with serum C-peptide concentrations in individuals with type 2 diabetes
Jin Ook Chung, Seon-Young Park, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
Medicine.2018; 97(32): e11783. CrossRef
Relationship between serum C-peptide level and diabetic retinopathy according to estimated glomerular filtration rate in patients with type 2 diabetes
Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
Journal of Diabetes and its Complications.2015; 29(3): 350. CrossRef
Serum bilirubin concentrations are positively associated with serum C‐peptide levels in patients with Type 2 diabetes
J. O. Chung, D. H. Cho, D. J. Chung, M. Y. Chung
Diabetic Medicine.2014; 31(11): 1316. CrossRef
Association between serum C-peptide levels and chronic microvascular complications in Korean type 2 diabetic patients
Bo-Yeon Kim, Chan-Hee Jung, Ji-Oh Mok, Sung-Koo Kang, Chul-Hee Kim
Acta Diabetologica.2012; 49(1): 9. CrossRef
Small Rice Bowl-Based Meal Plan for Energy and Marcronutrient Intake in Korean Men with Type 2 Diabetes: A Pilot Study
Hee Jung Ahn, Kyung Ah Han, Jin Young Jang, Jae Hyuk Lee, Kang Seo Park, Kyung Wan Min
Diabetes & Metabolism Journal.2011; 35(3): 273. CrossRef
The Small Rice Bowl-Based Meal Plan was Effective at Reducing Dietary Energy Intake, Body Weight, and Blood Glucose Levels in Korean Women with Type 2 Diabetes Mellitus
Hee Jung Ahn, Kyung Ah Han, Hwi Ryun Kwon, Kyung Wan Min
Korean Diabetes Journal.2010; 34(6): 340. CrossRef

Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients: Eun Hee Kim, Ji Hee Yu, Sang Ah Lee, Eui Young Kim, Won Gu Kim, Seung Hun Lee, Eun Hee Cho, Eun Hee Koh, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park, Ki-Up Lee; Korean Diabetes J. 2010;34(2):95-100. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.95

4,868 View
40 Download
7 Crossref

Abstract PDF PubReader

Background

Serum cystatin C level is a more sensitive marker of renal dysfunction than serum creatinine level. Serum cystatin C level was recently reported to predict the development of cardiovascular disease. This study was performed to evaluate whether the cystatin C level is associated with coronary artery disease (CAD), independent of diabetic nephropathy.

Methods

We conducted a case-control study to assess the relationship between serum cystatin C level and coronary artery disease in diabetic patients. Among 460 diabetic patients, 38 diabetic patients had CAD. The control group consisted of 38 diabetic patients who were matched to cases by age, sex, and presence/absence of diabetic nephropathy. Serum cystatin C level was measured in stored samples.

Results

Serum cystatin C level was significantly higher in patients with diabetic nephropathy, both in CAD and non-CAD patients. However, serum cystatin C level did not differ between CAD and non-CAD patients, regardless of diabetic nephropathy.

Conclusion

Serum cystatin C level is a marker of renal dysfunction, but not coronary artery disease, in diabetic patients.

Citations

Citations to this article as recorded by

Higher Levels of Cystatin C in HIV/AIDS Patients with Metabolic Syndrome
Gordana Dragović, Danica Srdić, Khawla Al Musalhi, Ivan Soldatović, Jovana Kušić, Djordje Jevtović, Devaki Nair
Basic & Clinical Pharmacology & Toxicology.2018; 122(4): 396. CrossRef
The association between serum cystatin C and carotid intima–media thickness in metabolic syndrome patients with normal estimated glomerular filtration rate
Rong Huang, Jingli Gu, Qin Cao, Jiahua Ma, Weiwei Gu, Zhuping Fan
Clinica Chimica Acta.2015; 448: 170. CrossRef
Association of plasma cystatin C levels with angiographically documented coronary artery disease in patients of Indian origin
Aditya Batra, Aditya Kapoor, R.K. Sharma, Nitin Agrawal, Archana Sinha, Sudeep Kumar, Naveen Garg, Satyendra Tewari, Pravin K. Goel
Journal of Cardiology.2012; 59(2): 182. CrossRef
Cystatin C and asymptomatic coronary artery disease in patients with metabolic syndrome and normal glomerular filtration rate
Xie Qing, Wang Furong, Liu Yunxia, Zhang Jian, Wang Xuping, Gao Ling
Cardiovascular Diabetology.2012;[Epub] CrossRef
Response: Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients (Korean Diabetes J 2010;34:95-100)
Eun Hee Kim, Ki-Up Lee
Korean Diabetes Journal.2010; 34(3): 209. CrossRef
Serum Cystatin C as a Biomarker for Predicting Coronary Artery Disease in Diabetes
Jee-Young Oh
Korean Diabetes Journal.2010; 34(2): 84. CrossRef
Letter: Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients (Korean Diabetes J 2010;34:95-100)
Kyu-Chang Won
Korean Diabetes Journal.2010; 34(3): 207. CrossRef

The Effects of Resistance Training on Muscle and Body Fat Mass and Muscle Strength in Type 2 Diabetic Women: Hwi Ryun Kwon, Kyung Ah Han, Yun Hyi Ku, Hee Jung Ahn, Bo-Kyung Koo, Ho Chul Kim, Kyung Wan Min; Korean Diabetes J. 2010;34(2):101-110. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.101

5,838 View
87 Download
58 Crossref

Abstract PDF PubReader

Background

Our goal was to investigate the effects of low intensity resistance training on body fat, muscle mass and strength, cardiovascular fitness, and insulin sensitivity in type 2 diabetes.

Methods

Twenty-eight overweight women with type 2 diabetes were randomly assigned to a resistance training group (RG, n = 13) or a control group (CG, n = 15). RG performed resistance training using elastic bands, of which strength was equal to 40 to 50% of one repetition maximum (1RM), for three days per week. Each exercise consisted of three sets for 60 minutes. We assessed abdominal fat using computed tomography, muscle mass using dual-energy X-ray absorptiometry, and muscle strength using Keiser's chest and leg press. Insulin sensitivity was measured using the insulin tolerance test, and aerobic capacity was expressed as oxygen uptake at the anaerobic threshold (AT-VO₂) before and after the 12-week exercise program.

Results

The age of participants was 56.4 ± 7.1 years, duration of diabetes was 5.9 ± 5.5 years, and BMI was 27.4 ± 2.5 kg/m², without significant differences between two groups. During intervention, a greater increase in muscle mass and greater decreases in both total fat mass and abdominal fat were observed in RG compared to those of CG (P = 0.015, P = 0.011, P = 0.010, respectively). Increase in 1RM of upper and lower extremities was observed in the RG (P = 0.004, P = 0.040, respectively), without changes in AT-VO₂ and insulin resistance in either group.

Conclusion

In conclusion, the low intensity resistance training was effective in increasing muscle mass and strength and reducing total fat mass without change of insulin sensitivity in type 2 diabetic patients.

Citations

Citations to this article as recorded by

Optimal strategies for exercise intervention in older people diabetic patients: The impacts of intensity, form, and frequency on glycemic control
Xueru Yan, Yujuan Lu, Haoda Zhang, Chen Zhu, Lan Tian, Jishuai Chen, Enpeng He, Yingying Li
Archives of Gerontology and Geriatrics.2025; 128: 105621. CrossRef
The Impact of Resistance Exercise Training on Glycemic Control Among Adults with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Yuwen Wan, Zhanguo Su
Biological Research For Nursing.2024; 26(4): 597. CrossRef
Effect of a home‐based physical activity program on metabolic syndrome in Ghanaian adults with type 2 diabetes: Protocol for a feasibility randomized controlled trial
Mohammed Amin, Debra Kerr, Yacoba Atiase, Misbah Muhammad Samir, Andrea Driscoll
Nursing Open.2024;[Epub] CrossRef
The Effects of Exercise Interventions on Ectopic and Subcutaneous Fat in Patients with Type 2 Diabetes Mellitus: A Systematic Review, Meta-Analysis, and Meta-Regression
Fatemeh Kazeminasab, Ali Bahrami Kerchi, Nasim Behzadnejad, Saba Belyani, Sara K. Rosenkranz, Reza Bagheri, Fred Dutheil
Journal of Clinical Medicine.2024; 13(17): 5005. CrossRef
Current trends in the development of soy-based foods containing probiotics and paving the path for soy-synbiotics
Minnu Sasi, Sandeep Kumar, Muzaffar Hasan, Arpitha S. R., Enriqueta Garcia-Gutierrez, Sweta Kumari, Om Prakash, Lata Nain, Archana Sachdev, Anil Dahuja
Critical Reviews in Food Science and Nutrition.2023; 63(29): 9995. CrossRef
Communication Strategies and Resources for Health and Fitness Professionals to Minimize Diabetes-Related Social Stigma
Lindsay J. Della, Annika Reitenga, Kristi M. King
ACSM'S Health & Fitness Journal.2023; 27(2): 54. CrossRef
IMPACTS OF MUSCLE TRAINING LOADS ON COLLEGE STUDENTS' PHYSICAL FITNESS
Wang Lu, Zheng Hua, Wang Tailin, Wei Xuanxi
Revista Brasileira de Medicina do Esporte.2023;[Epub] CrossRef
Effect of resistance training on HbA1c in adults with type 2 diabetes mellitus and the moderating effect of changes in muscular strength: a systematic review and meta-analysis
Anna K Jansson, Li X Chan, David R Lubans, Mitch J Duncan, Ronald C Plotnikoff
BMJ Open Diabetes Research & Care.2022; 10(2): e002595. CrossRef
Role of genetic factors (biology of telomeres) in cardiac rehabilitation
D. M. Aronov, O. M. Drapkina, M. G. Bubnova
Cardiovascular Therapy and Prevention.2022; 21(6): 3272. CrossRef
Effects of 12-Week Progressive Sandbag Exercise Training on Glycemic Control and Muscle Strength in Patients with Type 2 Diabetes Mellitus Combined with Possible Sarcopenia
Yu-Hsuan Chien, Chia-Jen Tsai, Dean-Chuan Wang, Pin-Hung Chuang, Hwai-Ting Lin
International Journal of Environmental Research and Public Health.2022; 19(22): 15009. CrossRef
Effects of Online Live Pilates Training during the COVID-19 Pandemic on Body Composition, Cardiovascular Function, and Physical Fitness in Sedentary Middle-aged Obese Women
Jung-Heon Choi, Ko-Eun Choi, Man-Gyoon Lee
Korean Journal of Sport Science.2022; 33(4): 521. CrossRef
Muscular Strength, Functional Fitness, Body Composition, and Quality of Life after 12 Weeks of Detraining in Older Females
Matúš Krčmár, Nora Halmová, Jaroslav Krajčovič, Bohumila Krčmárová
Physical & Occupational Therapy In Geriatrics.2021; 39(2): 129. CrossRef
Comparison between different types of exercise training in patients with type 2 diabetes mellitus: A systematic review and network metanalysis of randomized controlled trials
Edoardo Mannucci, Allegra Bonifazi, Matteo Monami
Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(7): 1985. CrossRef
DETERMINING NEW ANTHROPOMETRIC MARKERS FOR SCREENING TYPE 2 DM IN A CARIBBEAN REGION.
Amruta Rajput, Upendra K Gupta, Guri Tzivion, Ravindrasingh Rajput
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH.2021; : 58. CrossRef
Effect of elastic band resistance training with green coffee extract supplementation on adiposity indices and TyG-related Indicators in Obese Women
Zahra Rashidi, Rezvan Beigi, Majid Mardaniyan Ghahfarrokhi, Mohammad Faramarzi, Ebrahim Banitalebi, Tina Jafari, Conrad P. Earnest, Julien S. Baker
Obesity Medicine.2021; 24: 100351. CrossRef
Effect of resistance training with and without caloric restriction on visceral fat: A systemic review and meta‐analysis
Mousa Khalafi, Abbas Malandish, Sara K. Rosenkranz, Ali A. Ravasi
Obesity Reviews.2021;[Epub] CrossRef
The Effect of Elastic Resistance Band Training on Postural Control and Body Composition in Sedentary Women
Yağmur KOCAOĞLU, Nurtekin ERKMEN
Spor Bilimleri Araştırmaları Dergisi.2021; 6(1): 233. CrossRef
Strength Training and Insulin Resistance: The Mediating Role of Body Composition
McKayla J. Niemann, Larry A. Tucker, Bruce W. Bailey, Lance E. Davidson
Journal of Diabetes Research.2020; 2020: 1. CrossRef
Beyond general resistance training. Hypertrophy versus muscular endurance training as therapeutic interventions in adults with type 2 diabetes mellitus: A systematic review and meta‐analysis
Pedro Acosta‐Manzano, María Rodriguez‐Ayllon, Francisco M. Acosta, David Niederseer, Josef Niebauer
Obesity Reviews.2020;[Epub] CrossRef
Resistance Exercise Intensity is Correlated with Attenuation of HbA1c and Insulin in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis
Yubo Liu, Weibing Ye, Qian Chen, Yong Zhang, Chia-Hua Kuo, Mallikarjuna Korivi
International Journal of Environmental Research and Public Health.2019; 16(1): 140. CrossRef
Effectiveness of Exercise Intervention in Reducing Body Weight and Glycosylated Hemoglobin Levels in Patients with Type 2 Diabetes Mellitus in Korea: A Systematic Review and Meta-Analysis
Ji-Eun Jang, Yongin Cho, Byung Wan Lee, Ein-Soon Shin, Sun Hee Lee
Diabetes & Metabolism Journal.2019; 43(3): 302. CrossRef
Effects of a moderate-to-high intensity resistance circuit training on fat mass, functional capacity, muscular strength, and quality of life in elderly: A randomized controlled trial
Pablo Jorge Marcos-Pardo, Francisco Javier Orquin-Castrillón, Gemma María Gea-García, Ruperto Menayo-Antúnez, Noelia González-Gálvez, Rodrigo Gomes de Souza Vale, Alejandro Martínez-Rodríguez
Scientific Reports.2019;[Epub] CrossRef
Effects of Resistance Exercise on Glycated Hemoglobin and Functional Performance in Older Patients with Comorbid Diabetes Mellitus and Knee Osteoarthritis: A Randomized Trial
Shu-Mei Chen, Feng-Chih Shen, Jung-Fu Chen, Wen-Dien Chang, Nai-Jen Chang
International Journal of Environmental Research and Public Health.2019; 17(1): 224. CrossRef
Effects of low‐intensity resistance training on muscular function and glycemic control in older adults with type 2 diabetes
Eri Takenami, ShinMin Iwamoto, Noriko Shiraishi, Akiko Kato, Yuichi Watanabe, Yoshifumi Yamada, Satoru Yamada, Naokata Ishii
Journal of Diabetes Investigation.2019; 10(2): 331. CrossRef
Effect of 12-Month Resistance Training on Changes in Abdominal Adipose Tissue and Metabolic Variables in Patients with Prediabetes: A Randomized Controlled Trial
Juan Yan, Xia Dai, Jitao Feng, Xiaodan Yuan, Jianing Li, Lihong Yang, Panpan Zuo, Zhaohui Fang, Chao Liu, Cunyi Hsue, Junya Zhu, Joshua D. Miller, Qingqing Lou
Journal of Diabetes Research.2019; 2019: 1. CrossRef
Positive Effects of a Short-Term Intense Elastic Resistance Training Program on Body Composition and Physical Functioning in Overweight Older Women
Nicole B. Fritz, Álvaro Juesas, Pedro Gargallo, Joaquín Calatayud, Julio Fernández-Garrido, Michael E. Rogers, Juan C. Colado
Biological Research For Nursing.2018; 20(3): 321. CrossRef
Protein timing during the day and its relevance for muscle strength and lean mass
Samuel L. Buckner, Jeremy P. Loenneke, Paul D. Loprinzi
Clinical Physiology and Functional Imaging.2018; 38(2): 332. CrossRef
Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis
Bei Pan, Long Ge, Yang-qin Xun, Ya-jing Chen, Cai-yun Gao, Xue Han, Li-qian Zuo, Hou-qian Shan, Ke-hu Yang, Guo-wu Ding, Jin-hui Tian
International Journal of Behavioral Nutrition and Physical Activity.2018;[Epub] CrossRef
Resistance training reduces metabolic syndrome and inflammatory markers in older women: A randomized controlled trial
Crisieli M. Tomeleri, Mariana F. Souza, Roberto C. Burini, Cláudia R. Cavaglieri, Alex S. Ribeiro, Melissa Antunes, João P. Nunes, Danielle Venturini, Décio S. Barbosa, Luís B. Sardinha, Edilson S. Cyrino
Journal of Diabetes.2018; 10(4): 328. CrossRef
Effect of Resistance Training with Blood Flow Restriction on Follistatin to Myostatin Ratio, Body Composition and Anaerobic Power of Trained-Volleyball Players
Reza Bagheri, Amir Rashidlamir, Seyyed Reza Attarzadeh Hosseini
Medical Laboratory Journal.2018; 12(6): 28. CrossRef
Effects of 8-week kettlebell training on body composition, muscle strength, pulmonary function, and chronic low-grade inflammation in elderly women with sarcopenia
Hung-Ting Chen, Huey-June Wu, Yu-Jen Chen, Sung-Yen Ho, Yu-Chun Chung
Experimental Gerontology.2018; 112: 112. CrossRef
F inding the O ptimal volume and intensity of R esistance T raining E xercise for Type 2 Diabetes: The FORTE Study, a Randomized Trial
Pearl Yang, Walter Swardfager, Daniel Fernandes, Sheila Laredo, George Tomlinson, Paul I. Oh, Scott Thomas
Diabetes Research and Clinical Practice.2017; 130: 98. CrossRef
Exercise and ectopic fat in type 2 diabetes: A systematic review and meta-analysis
A. Sabag, K.L. Way, S.E. Keating, R.N. Sultana, H.T. O’Connor, M.K. Baker, V.H. Chuter, J. George, N.A. Johnson
Diabetes & Metabolism.2017; 43(3): 195. CrossRef
Resistance training to improve type 2 diabetes: working toward a prescription for the future
Dominik H. Pesta, Renata L. S. Goncalves, Anila K. Madiraju, Barbara Strasser, Lauren M. Sparks
Nutrition & Metabolism.2017;[Epub] CrossRef
Improvement of obesity-linked skeletal muscle insulin resistance by strength and endurance training
Sergio Di Meo, Susanna Iossa, Paola Venditti
Journal of Endocrinology.2017; 234(3): R159. CrossRef
Leisure time sedentary behavior, physical activity and frequency of protein consumption on lower extremity strength and lean mass
P D Loprinzi, J P Loenneke, D L Hamilton
European Journal of Clinical Nutrition.2017; 71(12): 1399. CrossRef
Strength Training Prevents Hyperinsulinemia, Insulin Resistance, and Inflammation Independent of Weight Loss in Fructose-Fed Animals
José D. Botezelli, Andressa Coope, Ana C. Ghezzi, Lucieli T. Cambri, Leandro P. Moura, Pedro P. M. Scariot, Rodrigo Stellzer Gaspar, Rania A. Mekary, Eduardo Rochete Ropelle, José Rodrigo Pauli
Scientific Reports.2016;[Epub] CrossRef
Effects of Elastic Band Resistance Training on Glucose Control, Body Composition, and Physical Function in Women With Short- vs. Long-Duration Type-2 Diabetes
Bong-Sup Park, Andy V. Khamoui, Lee E. Brown, Do-Youn Kim, Kyung-Ah Han, Kyung-Wan Min, Geun-Hee An
Journal of Strength and Conditioning Research.2016; 30(6): 1688. CrossRef
Neuromuscular dysfunction in type 2 diabetes: underlying mechanisms and effect of resistance training
Giorgio Orlando, Stefano Balducci, Ilenia Bazzucchi, Giuseppe Pugliese, Massimo Sacchetti
Diabetes/Metabolism Research and Reviews.2016; 32(1): 40. CrossRef
Physical exercises with free weights and elastic bands can improve body composition parameters in postmenopausal women
Simoni T. Bittar, Sergio S. Maeda, Marília M.S. Marone, Cláudio Santili
Menopause.2016; 23(4): 383. CrossRef
Effects of exercise training using resistance bands on glycaemic control and strength in type 2 diabetes mellitus: a meta-analysis of randomised controlled trials
Samantha K. McGinley, Marni J. Armstrong, Normand G. Boulé, Ronald J. Sigal
Acta Diabetologica.2015; 52(2): 221. CrossRef
Effect of exercise training on neuromuscular function of elbow flexors and knee extensors of type 2 diabetic patients
I. Bazzucchi, G. De Vito, F. Felici, S. Dewhurst, A. Sgadari, M. Sacchetti
Journal of Electromyography and Kinesiology.2015; 25(5): 815. CrossRef
Effects of short term elastic resistance training on muscle mass and strength in untrained older adults: a randomized clinical trial
Wagner Rodrigues Martins, Marisete Peralta Safons, Martim Bottaro, Juscelino Castro Blasczyk, Leonardo Rios Diniz, Romulo Maia Carlos Fonseca, Ana Clara Bonini-Rocha, Ricardo Jacó de Oliveira
BMC Geriatrics.2015;[Epub] CrossRef
Brain-derived neurotrophic factor correlated with muscle strength in subjects undergoing stationary bicycle exercise training
Sen-Wei Tsai, Yin-Ching Chan, Francois Liang, Chiann-Yi Hsu, I-Te Lee
Journal of Diabetes and its Complications.2015; 29(3): 367. CrossRef
Implementation of Resources to Support Patient Physical Activity through Diabetes Centres in Nova Scotia: The Effectiveness of Enhanced Support for Exercise Participation
Jonathon R. Fowles, Chris Shields, Lisette d’Entremont, Stephanie McQuaid, Brittany Barron, Peggy Dunbar
Canadian Journal of Diabetes.2014; 38(6): 423. CrossRef
Changes in insulin sensitivity in response to different modalities of exercise: a review of the evidence
S. Mann, C. Beedie, S. Balducci, S. Zanuso, J. Allgrove, F. Bertiato, A. Jimenez
Diabetes/Metabolism Research and Reviews.2014; 30(4): 257. CrossRef
The surprising influence of family history to type 2 diabetes on anaerobic performance of young male élite athletes
Antonino Bianco, Francesco Pomara, Antonino Patti, Ewan Thomas, Marco Petrucci, Marianna Bellafiore, Giuseppe Battaglia, Antonio Paoli, Antonio Palma
SpringerPlus.2014;[Epub] CrossRef
Skeletal muscle and organ masses differ in overweight adults with type 2 diabetes
Lance E. Davidson, David E. Kelley, Stanley Heshka, John Thornton, F. Xavier Pi-Sunyer, Lawrence Boxt, Ashok Balasubramanyam, Dympna Gallagher
Journal of Applied Physiology.2014; 117(4): 377. CrossRef
The effects of elastic band resistance training combined with blood flow restriction on strength, total bone‐free lean body mass and muscle thickness in postmenopausal women
Robert S. Thiebaud, Jeremy P. Loenneke, Christopher A. Fahs, Lindy M. Rossow, Daeyeol Kim, Takashi Abe, Mark A. Anderson, Kaelin C. Young, Debra A. Bemben, Michael G. Bemben
Clinical Physiology and Functional Imaging.2013; 33(5): 344. CrossRef
Predicting Aerobic Fitness Improvements after Participation in a Hybrid Supervised and Home-Based Exercise Program in People with Type 2 Diabetes
Pearl Yang, Paul Oh
Canadian Journal of Diabetes.2013; 37(6): 388. CrossRef
Impacto do treinamento resistido na força e hipertrofia muscular em HIV-soropositivos
Ciro José Brito, Edmar Lacerda Mendes, Aparecido Pimentel Ferreira, Sérgio Oliveira De Paula, Otávio de Tolêdo Nóbrega, Cláudio Córdova
Motriz: Revista de Educação Física.2013; 19(2): 313. CrossRef
Resistance Training for Diabetes Prevention and Therapy: Experimental Findings and Molecular Mechanisms
Barbara Strasser, Dominik Pesta
BioMed Research International.2013; 2013: 1. CrossRef
Resistance training, visceral obesity and inflammatory response: a review of the evidence
B. Strasser, M. Arvandi, U. Siebert
Obesity Reviews.2012; 13(7): 578. CrossRef
The effects of resistance training on ApoB/ApoA-I ratio, Lp(a) and inflammatory markers in patients with type 2 diabetes
Nikolaos P. E. Kadoglou, Grigorios Fotiadis, Zoi Athanasiadou, Ioulia Vitta, Stylianos Lampropoulos, Ioannis S. Vrabas
Endocrine.2012; 42(3): 561. CrossRef
A systematic review and meta‐analysis of the effect of aerobic vs. resistance exercise training on visceral fat
I. Ismail, S. E. Keating, M. K. Baker, N. A. Johnson
Obesity Reviews.2012; 13(1): 68. CrossRef
Aging, Resistance Training, and Diabetes Prevention
Kyle D. Flack, Kevin P. Davy, Matthew W. Hulver, Richard A. Winett, Madlyn I. Frisard, Brenda M. Davy
Journal of Aging Research.2011; 2011: 1. CrossRef
The Effects of Aerobic/Resistance Exercise on Body Fat Mass, Muscle Strength and Endothelial Function in Korean Type 2 Diabetes mellitus Patients
Kyung Wan Min
Journal of Korean Diabetes.2011; 12(1): 6. CrossRef
Exercise and Type 2 Diabetes
Sheri R. Colberg, Ronald J. Sigal, Bo Fernhall, Judith G. Regensteiner, Bryan J. Blissmer, Richard R. Rubin, Lisa Chasan-Taber, Ann L. Albright, Barry Braun
Diabetes Care.2010; 33(12): e147. CrossRef

The Association between Serum GGT Concentration and Diabetic Peripheral Polyneuropathy in Type 2 Diabetic Patients: Ho Chan Cho; Korean Diabetes J. 2010;34(2):111-118. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.111

5,334 View
55 Download
13 Crossref

Abstract PDF PubReader

Background

Diabetic peripheral polyneuropathy (DPP) is one of the common complications of diabetes mellitus (DM) and can lead to foot ulcers or amputation. The pathophysiology of DPP includes several factors such as metabolic, vascular, autoimmune, oxidative stress and neurohormonal growth-factor deficiency and recent studies have suggested the use of serum gamma-glutamyl transferase (GGT) as an early marker of oxidative stress. Therefore, we investigated whether serum GGT may be useful in predicting DPP.

Methods

We assessed 90 patients with type 2 DM who were evaluated for the presence of DPP using clnical neurologic examinations including nerve conduction velocity studies. We evaluated the association between serum GGT and the presence of DPP.

Results

The prevalence of DPP was 40% (36 cases) according to clinical neurological examinations. The serum GGT concentration was significantly elevated in type 2 diabetic patients with DPP compared to patients without DPP (P < 0.01). There were other factors significantly associated with DPP including smoking (P = 0.019), retinopathy (P = 0.014), blood pressure (P < 0.05), aspartate aminotransferase (P = 0.022), C-reactive protein (P = 0.036) and urine microalbumin/creatinine ratio (P = 0.004). Serum GGT was independently related with DPP according to multiple logistic analysis (P < 0.01).

Conclusion

This study shows that increased levels of serum GGT may have important clinical implications in the presence of DPP in patients with type 2 diabetes.

Citations

Citations to this article as recorded by

Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data
Hye Ah Lee, Hyesook Park, Young Sun Hong
Journal of Korean Medical Science.2024;[Epub] CrossRef
Liver enzymes and risk of ocular motor cranial nerve palsy: a nationwide population-based study
Joonhyoung Kim, Kyungdo Han, Juhwan Yoo, Kyung-Ah Park, Sei Yeul Oh
Neurological Sciences.2022; 43(5): 3395. 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
The association of liver enzymes with diabetes mellitus risk in different obesity subgroups: A population-based study
Dinghao Zheng, Xiaoyun Zhang, Lili You, Feng Li, Diaozhu Lin, Kan Sun, Meng Ren, Li Yan, Wei Wang
Frontiers in Endocrinology.2022;[Epub] CrossRef
Early Biomarkers of Neurodegenerative and Neurovascular Disorders in Diabetes
Aleksandra Gasecka, Dominika Siwik, Magdalena Gajewska, Miłosz J. Jaguszewski, Tomasz Mazurek, Krzysztof J. Filipiak, Marek Postuła, Ceren Eyileten
Journal of Clinical Medicine.2020; 9(9): 2807. CrossRef
Dissociable Contributions of Precuneus and Cerebellum to Subjective and Objective Neuropathy in HIV
Natalie M. Zahr, Kilian M. Pohl, Adolf Pfefferbaum, Edith V. Sullivan
Journal of Neuroimmune Pharmacology.2019; 14(3): 436. CrossRef
Evaluation of Serum Gamma Glutamyl Transferase Levels in Diabetic Patients With and Without Retinopathy
Neda Valizadeh, Rasoul Mohammadi, Alireza Mehdizadeh, Qader Motarjemizadeh, Hamid Reza Khalkhali
Shiraz E-Medical Journal.2018;[Epub] CrossRef
The Effect of Cigarette Smoking on Diabetic Peripheral Neuropathy: A Systematic Review and Meta-Analysis
Carole Clair, Marya J. Cohen, Florian Eichler, Kevin J. Selby, Nancy A. Rigotti
Journal of General Internal Medicine.2015; 30(8): 1193. CrossRef
Evaluation of oxidative stress markers and vascular risk factors in patients with diabetic peripheral neuropathy
Noha Ahmed El Boghdady, Gamal Ali Badr
Cell Biochemistry and Function.2012; 30(4): 328. CrossRef
Angiotensin-converting enzyme gene single polymorphism as a genetic biomarker of diabetic peripheral neuropathy: longitudinal prospective study
J. Jurado, J. Ybarra, J.H. Romeo, M. Garcia, E. Zabaleta-del-Olmo
Journal of Diabetes and its Complications.2012; 26(2): 77. CrossRef
Routine enzymes in the monitoring of type 2 diabetes mellitus
Osman Evliyaoğlu, Erkan Kibrisli, Yaşar Yildirim, Osman Gökalp, Leyla Çolpan
Cell Biochemistry and Function.2011; 29(6): 506. CrossRef
Antioxidant Effects of Fermented Red Ginseng Extracts in Streptozotocin-Induced Diabetic Rats
Hyun-Jeong Kim, Sung-Gyu Lee, In-Gyeong Chae, Mi-Jin Kim, Nam-Kyung Im, Mi-Hee Yu, Eun-Ju Lee, In-Seon Lee
Journal of Ginseng Research.2011; 35(2): 129. CrossRef
Serum γ‐glutamyltransferase and associated damage among a She Chinese population
Y. Lin, Y. Xu, G. Chen, B. Huang, J. Yao, Z. Chen, L. Yao, F. Lin, Y. Qiao, Z. Chen, S. Zhu, H. Huang, J. Wen
Diabetic Medicine.2011; 28(8): 924. CrossRef

The Clinical Characteristics of the Newly Diagnosed Early Onset (< 40 Years Old) Diabetes in Outpatients' Clinic: Kyung-Soo Kim, Hyun-Ju Oh, Ji-Woon Kim, Yeo-Kyung Lee, Soo-Kyung Kim, Seok-Won Park, Yoo-Lee Kim, Won-Keun Park, Yong-Wook Cho; Korean Diabetes J. 2010;34(2):119-125. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.119

4,688 View
50 Download
18 Crossref

Abstract PDF PubReader

Background

The prevalence of type 2 diabetes in young adults and adolescents has increased in the last decade according to the increasing obese population. The aim of this study was to examine the clinical characteristics of patients diagnosed with diabetes mellitus before the age of 40 years as compared with patients diagnosed at older ages.

Methods

This was a cross-sectional, retrospective study using data from 350 diabetic patients who were diagnosed with diabetes in an outpatient setting between January 2005 and December 2007. Patients were diagnosed according to the criteria set forth by the American Diabetes Association. We examined the clinical characteristics and laboratory data of the patients through review of medical records and compared the early-onset diabetic patients (< 40 years old) and the usual-onset diabetic patients (≥ 40 years old).

Results

The frequency of early-onset diabetes and usual-onset diabetes were 31.1% (n=109) and 68.9% (n=241), respectively. The early-onset diabetic patients more often had a positive family history of diabetes; higher HbA1c, fasting glucose, and postprandial glucose levels; experienced typical symptoms more frequently; had microalbuminuria more frequently; and required insulin therapy as initial treatment more frequently as compared to usual-onset diabetic patients, and these differences were significant. Conversely, hypertension was significantly more common in the usual-onset diabetic patients.

Conclusion

It could be concluded that we should control early onset diabetes more strictly to prevent its complication because early onset diabetic patients represented more severe hyperglycemia and had more prevalent microalbuminuria.

Citations

Citations to this article as recorded by

Clinical features of early-onset type 2 diabetes and its association with triglyceride glucose-body mass index: a cross-sectional study
Yanjuan Jiang, Xiaoyang Lai
Frontiers in Endocrinology.2024;[Epub] CrossRef
PERSPECTIVES OF CLINICAL EXPERTS ON THE CURRENT USAGE PATTERNS AND THE PREFERENCE OF VILDAGLIPTIN IN THE TREATMENT OF TYPE 2 DIABETES
Manjula S, KRISHNA KUMAR M
Innovare Journal of Medical Sciences.2024; : 1. CrossRef
The rising prevalence of type 2 diabetes among the youth in southern India—An ancillary analysis of the Secular TRends in DiabEtes in India (STRiDE‐I) study
Arun Nanditha, Priscilla Susairaj, Krishnamoorthy Satheesh, Arun Raghavan, Chamukuttan Snehalatha, Ambady Ramachandran
Journal of Diabetes.2024;[Epub] CrossRef
Clinical characteristics of patients with early-onset diabetes mellitus: a single-center retrospective study
Wenjing Dong, Saichun Zhang, Shiju Yan, Zhizhuang Zhao, Zengqiang Zhang, Weijun Gu
BMC Endocrine Disorders.2023;[Epub] CrossRef
Factors Associated with Chronic Disease and Health Care Utilization Among Young Adults in South Korea
Jongho Park, Yeaeun Kim
Population Health Management.2022; 25(3): 407. CrossRef
Therapeutic potential of dopamine agonists in the treatment of type 2 diabetes mellitus
Md. Tanvir Kabir, Jannatul Ferdous Mitu, Raushanara Akter, Muhammad Furqan Akhtar, Ammara Saleem, Ahmed Al-Harrasi, Saurabh Bhatia, Md. Sohanur Rahman, Fouad Damiri, Mohammed Berrada, Md. Habibur Rahman
Environmental Science and Pollution Research.2022; 29(31): 46385. CrossRef
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes
Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim
Endocrinology and Metabolism.2022; 37(4): 641. CrossRef
The Difference in Risk Factors Between Adults With Early-Onset (<40 Years Old) Versus Late-Onset (≥40 Years Old) Type 2 Diabetes in a University Hospital From January 2015-December 2017
Marilyn Katrina C Caro, Elaine C Cunanan
Journal of Medicine, University of Santo Tomas.2022; 6(2): 1009. CrossRef
Comparison of clinical features, complication profile, and achievement of guideline targets in early- and late-onset type 2 diabetes patients from North India
Hamid Ashraf, Ahmad Faraz, Jamal Ahmad
International Journal of Diabetes in Developing Countries.2021; 41(3): 396. CrossRef
Questionnaire-based Survey of Demographic and Clinical Characteristics, Health Behaviors, and Mental Health of Young Korean Adults with Early-Onset Diabetes
Ji In Park, Hyunjeong Baek, Sang-Wook Kim, Ji Yun Jeong, Kee-Ho Song, Ji Hee Yu, Il Sung Nam-Goong, Eun-Hee Cho
Journal of Korean Medical Science.2021;[Epub] CrossRef
Association among Lifestyle Factors, Obesity, C-peptide Secretion, Metabolic Syndrome, and Cardiovascular Risk in Adults with Newly Diagnosed Type 2 Diabetes Mellitus: A Case Study
Sun-Young Kwon, Hye-Ja Park
Journal of Health Informatics and Statistics.2019; 44(2): 125. CrossRef
Type 2 diabetes in adolescents and young adults
Nadia Lascar, James Brown, Helen Pattison, Anthony H Barnett, Clifford J Bailey, Srikanth Bellary
The Lancet Diabetes & Endocrinology.2018; 6(1): 69. CrossRef
The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus
Jin-Won Noh, Jin Hee Jung, Jeong Eun Park, Jung Hwa Lee, Kang Hee Sim, Jumin Park, Min Hee Kim, Ki-Bong Yoo
Journal of Physical Therapy Science.2018; 30(2): 201. CrossRef
Early-onset diabetes: an epidemic in China
Jiemin Pan, Weiping Jia
Frontiers of Medicine.2018; 12(6): 624. CrossRef
Distinct Predictors and Comorbidities in Early Onset Type 2 Diabetes Mellitus Among Asian Indians
Gadadharan Vijayakumar, Ganapathy K. Sreehari, Aswathi Vijayakumar, Abdul Jaleel
Metabolic Syndrome and Related Disorders.2017; 15(9): 458. CrossRef
A Predictive Model of Health Outcomes for Young People with Type 2 Diabetes
Sun Young Jung, Sook Ja Lee, Sun Hee Kim, Kyung Mi Jung
Asian Nursing Research.2015; 9(1): 73. CrossRef
An assessment of the impact of type 2 diabetes on the quality of life based on age at diabetes diagnosis
Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
Acta Diabetologica.2014; 51(6): 1065. CrossRef
Characteristics, complications and management of a large multiethnic cohort of younger adults with type 2 diabetes
Katrien Benhalima, Soon H. Song, Emma G. Wilmot, Kamlesh Khunti, Laura J. Gray, Ian Lawrence, Melanie Davies
Primary Care Diabetes.2011; 5(4): 245. CrossRef

The Relationship between the Level of Fatness and Fitness during Adolescence and the Risk Factors of Metabolic Disorders in Adulthood: Yoonsuk Jekal, Ji Eun Yun, Sang Wook Park, Sun Ha Jee, Justin Y Jeon; Korean Diabetes J. 2010;34(2):126-134. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.126

3,570 View
33 Download
10 Crossref

Abstract PDF PubReader

Background

The purpose of the current study was to investigate the association between the level of obesity and physical fitness (PF) during adolescence and the risk factors of metabolic disorders during adulthood.

Methods

In the current analysis, 3,993 Korean adults (mean age, 38.70 ± 1.69 years) were recruited. The level of body index (BI) and PF were examined during adolescence through high school record, and their health examination data, including systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting glucose (FG), total cholesterol (TC), and current body mass index (BMI) were obtained from National Health Insurance Corporation Data. Gender-specific analyses were administered to compare health exam data across the level of BI, the level of PF, and a mixed level of BI and PF.

Results

Most obese males during high school had statistically higher SBP, DBP, FG, and BMI in adulthood, and most obese females had higher BMI, as compared to most lean males or females. Least fit males during high school had statistically higher BMI in adulthood, and least fit females had statistically higher SBP, DBP, FG, TC, and BMI, as compared to most fit males or females. There was a significant relationship between the mixed level of BI and PF and SBP, DBP, TC and current BMI in both genders.

Conclusion

Maintaining a healthy level of body weight and PF during adolescence is recommended to prevent the development of metabolic diseases in adulthood.

Citations

Citations to this article as recorded by

A cross‐sectional study on the use of big data for the past H1N1 influenza epidemic in obesity after COVID‐19: Focused on the body slimming cream and leptin via DTC gene test
Jinkyung Lee, Ki Han Kwon
Journal of Cosmetic Dermatology.2022; 21(11): 5321. CrossRef
Aerobic fitness in late adolescence and the risk of cancer and cancer-associated mortality in adulthood: A prospective nationwide study of 1.2 million Swedish men
G. Högström, H. Ohlsson, C. Crump, J. Sundquist, K. Sundquist
Cancer Epidemiology.2019; 59: 58. CrossRef
Study Time after School and Habitual Eating Are Associated with Risk for Obesity among Overweight Korean Children: A Prospective Study
Eun Young Lee, Borami Kang, Yeoree Yang, Hae Kyung Yang, Hun-Sung Kim, Sun-Young Lim, Jin-Hee Lee, Seong-Su Lee, Byung-Kyu Suh, Kun-Ho Yoon
Obesity Facts.2018; 11(1): 46. CrossRef
Differences in Dietary Life and Health related Factors According to Obesity in Poor Urban Peruvian Adolescents
Hye-Kyung Chung, Hae-Young Lee, Jin Ri Kim, Eun Woo Nam
Korean Journal of Community Nutrition.2018; 23(4): 302. CrossRef
The influence of aerobic fitness on obesity and its parent-offspring correlations in a cross-sectional study among German families
Ronja Foraita, Mirko Brandes, Frauke Günther, Karin Bammann, Iris Pigeot, Wolfgang Ahrens
BMC Public Health.2015;[Epub] CrossRef
The Effect of Participation in Physical Activity “The Development of Fitness” Class on Physical Fitness and Risk Factors for Metabolic Syndrome of University Students in Korea
김동일, Justin Jeon, 이해동, 박지혜, 홍성현
Korean Journal of Sport Science.2012; 23(3): 478. CrossRef
Epidemiology and prevention of stroke: a worldwide perspective
Elena V Kuklina, Xin Tong, Mary G George, Pooja Bansil
Expert Review of Neurotherapeutics.2012; 12(2): 199. CrossRef
Fitness, Fatness, and Cardiovascular Disease Risk and Outcomes
John M. Jakicic, Anne E. Mishler, Renee Rogers
Current Cardiovascular Risk Reports.2011; 5(2): 113. CrossRef
Epidemiology of Physical Activity Participation and Type 2 Diabetes in Korea
Yoonsuk Jekal, Justin Y Jeon
Journal of Korean Diabetes.2011; 12(1): 13. CrossRef
Relationship Between Trajectories of Trunk Fat Mass Development in Adolescence and Cardiometabolic Risk in Young Adulthood
Lauren B. Sherar, Joe C. Eisenmann, Philip D. Chilibeck, Nazeem Muhajarine, Susanna Martin, Donald A. Bailey, Adam D.G. Baxter‐Jones
Obesity.2011; 19(8): 1699. CrossRef

Letter

Letter: Risk Factors Associated with Left Ventricular Diastolic Dysfunction in Type 2 Diabetic Patients without Hypertension (Korean Diabetes J 2010;34:40-6): Dong-Lim Kim; Korean Diabetes J. 2010;34(2):135-136. Published online April 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.2.135

2,870 View
27 Download

PDF PubReader

First
Prev
Page of 1
Next
Last

Previous issues