Diabetes & Metabolism Journal

Ji Hye Huh (Huh JH)

6 Articles

Advanced Liver Fibrosis Is Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease (Diabetes Metab J 2022;46:630-9): Ji Hye Huh; Diabetes Metab J. 2022;46(6):953-955. Published online November 24, 2022; DOI: https://doi.org/10.4093/dmj.2022.0374; [Original]

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Cardiovascular Risk/Epidemiology
Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea: Yo Nam Jang, Jun Hyeok Lee, Jin Sil Moon, Dae Ryong Kang, Seong Yong Park, Jerim Cho, Jang-Young Kim, Ji Hye Huh; Diabetes Metab J. 2021;45(4):569-577. Published online January 30, 2021; DOI: https://doi.org/10.4093/dmj.2020.0103

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Background
Recently, a metabolic syndrome severity score (MS score) using a dataset of the Korea National Health and Nutrition Examination Surveys has been developed. We aimed to determine whether the newly developed score is a significant predictor of cardiovascular (CV) events among the Korean population.
Methods
From the Korean National Health Insurance System, 2,541,364 (aged 40 to 59 years) subjects with no history of CV events (ischemic stroke or myocardial infarction [MI]), who underwent health examinations from 2009 to 2011 and were followed up until 2014 to 2017, were identified. Cox proportional hazard model was employed to investigate the association between MS score and CV events. Model performance of MS score for predicting CV events was compared to that of conventional metabolic syndrome diagnostic criteria (Adult Treatment Program III [ATP-III]) using the Akaike information criterion and the area under the receiver operating characteristic curve.
Results
Over a median follow-up of 6 years, 15,762 cases of CV events were reported. MS score at baseline showed a linear association with incident CV events. In the multivariable-adjusted model, the hazard ratios (95% confidence intervals) comparing the highest versus lowest quartiles of MS score were 1.48 (1.36 to 1.60) for MI and 1.89 (1.74 to 2.05) for stroke. Model fitness and performance of the MS score in predicting CV events were superior to those of ATP-III.
Conclusion
The newly developed age- and sex-specific continuous MS score for the Korean population is an independent predictor of ischemic stroke and MI in Korean middle-aged adults even after adjusting for confounding factors.

Citations

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Jaap Keijer, Xavier Escoté, Sebastià Galmés, Andreu Palou-March, Francisca Serra, Mona Adnan Aldubayan, Kristina Pigsborg, Faidon Magkos, Ella J. Baker, Philip C. Calder, Joanna Góralska, Urszula Razny, Malgorzata Malczewska-Malec, David Suñol, Mar Galofr
Critical Reviews in Food Science and Nutrition.2024; 64(23): 8279. CrossRef
Metabolic syndrome awareness in the general Korean population: results from a nationwide survey
Hyun-Jin Kim, Mi-Seung Shin, Kyung-Hee Kim, Mi-Hyang Jung, Dong-Hyuk Cho, Ju-Hee Lee, Kwang Kon Koh
The Korean Journal of Internal Medicine.2024; 39(2): 272. CrossRef
BMI-based metabolic syndrome severity score and arterial stiffness in a cohort Chinese study
Miao Wang, Chi Wang, Maoxiang Zhao, Shouling Wu, Hao Xue, Hongbin Liu
Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(7): 1761. CrossRef
Association between metabolic syndrome severity score and cardiovascular disease: results from a longitudinal cohort study on Chinese adults
Jing-jing Lin, Pin-yuan Dai, Jie Zhang, Yun-qi Guan, Wei-wei Gong, Min Yu, Le Fang, Ru-ying Hu, Qing-fang He, Na Li, Li-xin Wang, Ming-bin Liang, Jie-ming Zhong
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No role of the third-trimester inflammatory factors in the association of gestational diabetes mellitus with postpartum cardiometabolic indicators
Xiayan Yu, Wenjing Qiang, Kexin Gong, Yidan Cao, Shuangqin Yan, Guopeng Gao, Fangbiao Tao, Beibei Zhu
BMC Pregnancy and Childbirth.2024;[Epub] CrossRef
Harnessing Metabolic Indices as a Predictive Tool for Cardiovascular Disease in a Korean Population without Known Major Cardiovascular Event
Hyun-Jin Kim, Byung Sik Kim, Yonggu Lee, Sang Bong Ahn, Dong Wook Kim, Jeong-Hun Shin
Diabetes & Metabolism Journal.2024; 48(3): 449. CrossRef
Metabolic syndrome severity z-score in non-diabetic non-obese Egyptian patients with chronic hepatitis c virus infection
Safaa R. Askar, Radwa S. Hagag, Moamen A. Ismail, Heba I. Aly
Future Journal of Pharmaceutical Sciences.2024;[Epub] CrossRef
Correlation between gestational diabetes mellitus and postpartum cardiovascular metabolic indicators and inflammatory factors: a cohort study of Chinese population
Xin Zhao, Dan Zhao, Jianbin Sun, Ning Yuan, Xiaomei Zhang
Frontiers in Endocrinology.2024;[Epub] CrossRef
Development and validation of a continuous metabolic syndrome severity score in the Tehran Lipid and Glucose Study
Mohammadjavad Honarvar, Safdar Masoumi, Ladan Mehran, Davood Khalili, Atieh Amouzegar, Fereidoun Azizi
Scientific Reports.2023;[Epub] CrossRef
Associations of metabolic syndrome, its severity with cognitive impairment among hemodialysis patients
Yuqi Yang, Qian Li, Yanjun Long, Jing Yuan, Yan Zha
Diabetology & Metabolic Syndrome.2023;[Epub] CrossRef
Resistin serum levels and its association with clinical profile and carotid intima-media thickness in psoriasis: a cross-sectional study
Sofia Makishi Schlenker, Sofia Inez Munhoz, André Rochinski Busanello, Matheus Guedes Sanches, Barbara Stadler Kahlow, Renato Nisihara, Thelma Larocca Skare
Anais Brasileiros de Dermatologia.2023; 98(6): 799. CrossRef
Cholecystectomy Increases the Risk of Type 2 Diabetes in the Korean Population
Ji Hye Huh, Kyong Joo Lee, Yun Kyung Cho, Shinje Moon, Yoon Jung Kim, Eun Roh, Kyung-do Han, Dong Hee Koh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
Annals of Surgery.2023; 278(2): e264. CrossRef
Cardiorespiratory Endurance is Associated with Metabolic Syndrome Severity in Men
V. V. Sverchkov, E. V. Bykov
Journal Biomed.2023; 19(2): 61. CrossRef
Effect of a Wearable Device–Based Physical Activity Intervention in North Korean Refugees: Pilot Randomized Controlled Trial
Ji Yoon Kim, Kyoung Jin Kim, Kyeong Jin Kim, Jimi Choi, Jinhee Seo, Jung-Been Lee, Jae Hyun Bae, Nam Hoon Kim, Hee Young Kim, Soo-Kyung Lee, Sin Gon Kim
Journal of Medical Internet Research.2023; 25: e45975. CrossRef
Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality
Mohammadjavad Honarvar, Ladan Mehran, Safdar Masoumi, Sadaf Agahi, Shayesteh Khalili, Fereidoun Azizi, Atieh Amouzegar
Scientific Reports.2023;[Epub] CrossRef
Optimal Low-Density Lipoprotein Cholesterol Levels in Adults Without Diabetes Mellitus: A Nationwide Population-Based Study Including More Than 4 Million Individuals From South Korea
Ji Hye Huh, Sang Wook Park, Tae-Hwa Go, Dae Ryong Kang, Sang-Hak Lee, Jang-Young Kim
Frontiers in Cardiovascular Medicine.2022;[Epub] CrossRef
Triglyceride-Glucose Index for the Diagnosis of Metabolic Syndrome: A Cross-Sectional Study of 298,652 Individuals Receiving a Health Check-Up in China
Mingfei Jiang, Xiaoran Li, Huan Wu, Fan Su, Lei Cao, Xia Ren, Jian Hu, Grace Tatenda, Mingjia Cheng, Yufeng Wen, Hou De Zhou
International Journal of Endocrinology.2022; 2022: 1. CrossRef
Changes in body composition, body balance, metabolic parameters and eating behavior among overweight and obese women due to adherence to the Pilates exercise program
Hyun Ju Kim, Jihyun Park, Mi Ri Ha, Ye Jin Kim, Chaerin Kim, Oh Yoen Kim
Journal of Nutrition and Health.2022; 55(6): 642. CrossRef
Metabolic Syndrome Severity Score, Comparable to Serum Creatinine, Could Predict the Occurrence of End-Stage Kidney Disease in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
Pil Gyu Park, Jung Yoon Pyo, Sung Soo Ahn, Jason Jungsik Song, Yong-Beom Park, Ji Hye Huh, Sang-Won Lee
Journal of Clinical Medicine.2021; 10(24): 5744. CrossRef

Obesity and Metabolic Syndrome
Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus: Ji Hye Huh, Sung Gyun Ahn, Young In Kim, Taehwa Go, Ki-Chul Sung, Jae Hyuk Choi, Kwang Kon Koh, Jang Young Kim; Diabetes Metab J. 2019;43(4):530-538. Published online February 20, 2019; DOI: https://doi.org/10.4093/dmj.2018.0111

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Background

Metabolic syndrome (MetS) is a known predictor of diabetes mellitus (DM), but whether longitudinal changes in MetS status modify the risk for DM remains unclear. We investigated whether changes in MetS status over 2 years modify the 10-year risk of incident DM.

Methods

We analyzed data from 7,317 participants aged 40 to 70 years without DM at baseline, who took part in 2001 to 2011 Korean Genome Epidemiology Study. Subjects were categorized into four groups based on repeated longitudinal assessment of MetS status over 2 years: non-MetS, resolved MetS, incident MetS, and persistent MetS. The hazard ratio (HR) of new-onset DM during 10 years was calculated in each group using Cox models.

Results

During the 10-year follow-up, 1,099 participants (15.0%) developed DM. Compared to the non-MetS group, the fully adjusted HRs for new-onset DM were 1.28 (95% confidence interval [CI], 0.92 to 1.79) in the resolved MetS group, 1.75 (95% CI, 1.30 to 2.37) in the incident MetS group, and 1.98 (95% CI, 1.50 to 2.61) in the persistent MetS group (P for trend <0.001). The risk of DM in subjects with resolved MetS was significantly attenuated compared to those with persistent MetS over 2 years. In addition, the adjusted HR for 10-year developing DM gradually increased as the number of MetS components increased 2 years later.

Conclusion

We found that discrete longitudinal changes pattern in MetS status over 2 years associated with 10-year risk of DM. These findings suggest that monitoring change of MetS status and controlling it in individuals may be important for risk prediction of DM.

Citations

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2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association
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Transitioning from having no metabolic abnormality nor obesity to metabolic impairment in a cohort of apparently healthy adults
Hadas Ben-Assayag, Rafael Y. Brzezinski, Shlomo Berliner, David Zeltser, Itzhak Shapira, Ori Rogowski, Sharon Toker, Roy Eldor, Shani Shenhar-Tsarfaty
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The Unique Role of Self-Rated Health in Metabolic Syndrome and its Diagnostic Cardiometabolic Abnormalities: An Analysis of Population-Based Data
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Clinical implications of changes in metabolic syndrome status after kidney transplantation: a nationwide prospective cohort study
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Nephrology Dialysis Transplantation.2023; 38(12): 2743. CrossRef
Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
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Journal of Translational Medicine.2023;[Epub] CrossRef
Differential association of metabolic syndrome and low-density lipoprotein cholesterol with incident cardiovascular disease according to sex among Koreans: a national population-based study
Su Yong Kim, Tae-Hwa Go, Jun Hyeok Lee, Jin Sil Moon, Dae Ryong Kang, Se Jin Bae, Se-Eun Kim, Sang Jun Lee, Dong-Hyuk Cho, Young Jun Park, Young Jin Youn, Jang Young Kim, Sung Gyun Ahn
European Journal of Preventive Cardiology.2022; 28(18): 2021. CrossRef
The efficacy and safety of Dendropanax morbifera leaf extract on the metabolic syndrome: a 12-week, placebo controlled, double blind, and randomized controlled trial
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Nutrition Research and Practice.2022; 16(1): 60. CrossRef
Stability and Transformation of Metabolic Syndrome in Adolescents: A Prospective Assessment in Relation to the Change of Cardiometabolic Risk Factors
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Evaluating Triglyceride and Glucose Index as a Simple and Easy-to-Calculate Marker for All-Cause and Cardiovascular Mortality
Kyung-Soo Kim, Sangmo Hong, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
Journal of General Internal Medicine.2022; 37(16): 4153. CrossRef
Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
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The dynamics of metabolic syndrome development from its isolated components among iranian children and adolescents: Findings from 17 Years of the Tehran Lipid and Glucose Study (TLGS)
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Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(1): 99. CrossRef
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The dynamics of metabolic syndrome development from its isolated components among Iranian adults: findings from 17 years of the Tehran lipid and glucose study (TLGS)
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Journal of Diabetes & Metabolic Disorders.2021; 20(1): 95. CrossRef
Metabolic Syndrome Fact Sheet 2021: Executive Report
Ji Hye Huh, Dae Ryong Kang, Jang Young Kim, Kwang Kon Koh
CardioMetabolic Syndrome Journal.2021; 1(2): 125. CrossRef
The Incidence of Metabolic Syndrome and the Valid Blood Pressure Cutoff Value for Predicting Metabolic Syndrome Within the Normal Blood Pressure Range in the Population Over 40 Years Old in Guiyang, China
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Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea
Yo Nam Jang, Jun Hyeok Lee, Jin Sil Moon, Dae Ryong Kang, Seong Yong Park, Jerim Cho, Jang-Young Kim, Ji Hye Huh
Diabetes & Metabolism Journal.2021; 45(4): 569. CrossRef
Hospitalization for heart failure incidence according to the transition in metabolic health and obesity status: a nationwide population-based study
You-Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
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Wei Liu, Chunpeng Wan, Yingjie Huang, Mingxi Li
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Exposure-weighted scoring for metabolic syndrome and the risk of myocardial infarction and stroke: a nationwide population-based study
Eun Young Lee, Kyungdo Han, Da Hye Kim, Yong-Moon Park, Hyuk-Sang Kwon, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
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Diabetes & Metabolism Journal.2019; 43(4): 407. CrossRef

Complications
Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease: Ji Hye Huh, Minyoung Lee, So Young Park, Jae Hyeon Kim, Byung-Wan Lee; Diabetes Metab J. 2018;42(3):215-223. Published online May 2, 2018; DOI: https://doi.org/10.4093/dmj.2017.0091

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Background

The aim of this study was to investigate which glycemic parameters better reflect urinary N-acetyl-β-D-glucosaminidase (uNAG) abnormality, a marker for renal tubulopathy, in subjects with type 2 diabetes mellitus (T2DM) subjects with normoalbuminuria and a normal estimated glomerular filtration rate (eGFR).

Methods

We classified 1,061 participants with T2DM into two groups according to uNAG level—normal vs. high (>5.8 U/g creatinine)—and measured their biochemical parameters.

Results

Subjects with high uNAG level had significantly higher levels of fasting and stimulated glucose, glycated albumin (GA), and glycosylated hemoglobin (HbA1c) and lower levels of homeostasis model assessment of β-cell compared with subjects with normal uNAG level. Multiple linear regression analyses showed that uNAG was significantly associated with GA (standardized β coefficient [β]=0.213, P=0.016), but not with HbA1c (β=−0.137, P=0.096) or stimulated glucose (β=0.095, P=0.140) after adjusting confounding factors. In receiver operating characteristic analysis, the value of the area under the curve (AUC) for renal tubular injury of GA was significantly higher (AUC=0.634; 95% confidence interval [CI], 0.646 to 0.899) than those for HbA1c (AUC=0.598; 95% CI, 0.553 to 0.640), stimulated glucose (AUC=0.594; 95% CI, 0.552 to 0.636), or fasting glucose (AUC=0.558; 95% CI, 0.515 to 0.600). The optimal GA cutoff point for renal tubular damage was 17.55% (sensitivity 59%, specificity 62%).

Conclusion

GA is a more useful glycation index than HbA1c for reflecting renal tubulopathy in subjects with T2DM with normoalbuminuria and normal eGFR.

Citations

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Hepatic fibrosis is associated with total proteinuria in Korean patients with type 2 diabetes
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Yiting Xu, Xiaojing Ma, Yun Shen, Yufei Wang, Jian Zhou, Yuqian Bao
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Obesity and Metabolic Syndrome
Relationship between Regional Body Fat Distribution and Diabetes Mellitus: 2008 to 2010 Korean National Health and Nutrition Examination Surveys: Soo In Choi, Dawn Chung, Jung Soo Lim, Mi Young Lee, Jang Yel Shin, Choon Hee Chung, Ji Hye Huh; Diabetes Metab J. 2017;41(1):51-59. Published online December 21, 2016; DOI: https://doi.org/10.4093/dmj.2017.41.1.51

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Background

The aim of this study was to investigate the association between regional body fat distribution, especially leg fat mass, and the prevalence of diabetes mellitus (DM) in adult populations.

Methods

A total of 3,181 men and 3,827 postmenopausal women aged 50 years or older were analyzed based on Korea National Health and Nutrition Examination Surveys (2008 to 2010). Body compositions including muscle mass and regional fat mass were measured using dual-energy X-ray absorptiometry.

Results

The odds ratios (ORs) for DM was higher with increasing truncal fat mass and arm fat mass, while it was lower with increasing leg fat mass. In a partial correlation analysis adjusted for age, leg fat mass was negatively associated with glycosylated hemoglobin in both sexes and fasting glucose in women. Leg fat mass was positively correlated with appendicular skeletal muscle mass and homeostasis model assessment of β cell. In addition, after adjusting for confounding factors, the OR for DM decreased gradually with increasing leg fat mass quartiles in both genders. When we subdivided the participants into four groups based on the median values of leg fat mass and leg muscle mass, higher leg fat mass significantly lowered the risk of DM even though they have smaller leg muscle mass in both genders (P<0.001).

Conclusion

The relationship between fat mass and the prevalence of DM is different according to regional body fat distribution. Higher leg fat mass was associated with a lower risk of DM in Korean populations. Maintaining leg fat mass may be important in preventing impaired glucose tolerance.

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Association between lung function and the risk of atrial fibrillation in a nationwide population cohort study
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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 Metab J. 2015;39(2):164-170. Published online March 9, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.2.164

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Background

Type 1 diabetes is associated with more severe glycemic variability and more frequent hypoglycemia than type 2 diabetes. Glycemic variability is associated with poor glycemic control and diabetic complications. In this study, we demonstrate the clinical usefulness of serum 1,5-anhydroglucitol (1,5-AG) for assessing changes in glycemic excursion in type 1 diabetes.

Methods

Seventeen patients with type 1 diabetes were enrolled in this study. A continuous glucose monitoring system (CGMS) was applied twice at a 2-week interval to evaluate changes in glycemic variability. The changes in serum glycemic assays, including 1,5-AG, glycated albumin and hemoglobin A1c (HbA1c), were also evaluated.

Results

Most subjects showed severe glycemic excursions, including hypoglycemia and hyperglycemia. The change in 1,5-AG level was significantly correlated with changes in the glycemic excursion indices of the standard deviation (SD), mean amplitude of glucose excursion (MAGE), lability index, mean postmeal maximum glucose, and area under the curve for glucose above 180 mg/dL (r=-0.576, -0.613, -0.600, -0.630, and -0.500, respectively; all P<0.05). Changes in glycated albumin were correlated with changes in SD and MAGE (r=0.495 and 0.517, respectively; all P<0.05). However, changes in HbA1c were not correlated with any changes in the CGMS variables.

Conclusion

1,5-AG may be a useful marker for the assessment of short-term changes in glycemic variability. Furthermore, 1,5-AG may have clinical implications for the evaluation and treatment of glycemic excursions in type 1 diabetes.

Citations

Citations to this article as recorded by

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