Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
18 "abdominal"
Filter
Filter
Article type
Keywords
Publication year
Authors
Funded articles
Original Articles
Diabetes, obesity and metabolism
Alterations in Adipose Tissue and Adipokines in Heterozygous APE1/Ref-1 Deficient Mice
Eun-Ok Lee, Hao Jin, Sungmin Kim, Hee Kyoung Joo, Yu Ran Lee, Soo Yeon An, Shuyu Piao, Kwon Ho Lee, Byeong Hwa Jeon
Endocrinol Metab. 2024;39(6):932-945.   Published online November 20, 2024
DOI: https://doi.org/10.3803/EnM.2024.2061
  • 1,230 View
  • 62 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The role of apurinic/apyrimidinic endonuclease 1/redox factor-1 (APE1/Ref-1) in adipose tissue remains poorly understood. This study investigates adipose tissue dysfunction in heterozygous APE1/Ref-1 deficiency (APE1/Ref-1+/-) mice, focusing on changes in adipocyte physiology, oxidative stress, adipokine regulation, and adipose tissue distribution.
Methods
APE1/Ref-1 mRNA and protein levels in white adipose tissue (WAT) were measured in APE1/Ref-1+/- mice, compared to their wild-type (APE1/Ref-1+/+) controls. Oxidative stress was assessed by evaluating reactive oxygen species (ROS) levels. Histological and immunohistochemical analyses were conducted to observe adipocyte size and macrophage infiltration of WAT. Adipokine expression was measured, and micro-magnetic resonance imaging (MRI) was used to quantify abdominal fat volumes.
Results
APE1/Ref-1+/- mice exhibited significant reductions in APE1/Ref-1 mRNA and protein levels in WAT and liver tissue. These mice also showed elevated ROS levels, suggesting a regulatory role for APE1/Ref-1 in oxidative stress in WAT and liver. Histological and immunohistochemical analyses revealed hypertrophic adipocytes and macrophage infiltration in WAT, while Oil Red O staining demonstrated enhanced ectopic fat deposition in the liver of APE1/Ref-1+/- mice. These mice also displayed altered adipokine expression, with decreased adiponectin and increased leptin levels in the WAT, along with corresponding alterations in plasma levels. Despite no significant changes in overall body weight, microMRI assessments demonstrated a significant increase in visceral and subcutaneous abdominal fat volumes in APE1/Ref-1+/- mice.
Conclusion
APE1/Ref-1 is crucial in adipokine regulation and mitigating oxidative stress. These findings suggest its involvement in adipose tissue dysfunction, highlighting its potential impact on abdominal fat distribution and its implications for obesity and oxidative stress-related conditions.
Close layer
Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Cardiovascular Outcomes of Obesity According to Menopausal Status: A Nationwide Population-Based Study
Bo Kyung Koo, Sang-Hyun Park, Kyungdo Han, Min Kyong Moon
Endocrinol Metab. 2021;36(5):1029-1041.   Published online October 21, 2021
DOI: https://doi.org/10.3803/EnM.2021.1197
  • 5,511 View
  • 131 Download
  • 10 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We estimated the effect of obesity on the incidence of cardiovascular disease (CVD) and mortality in women according to menopausal status.
Methods
Women aged 40 to 69 years under routine health check-ups provided by the National Health Insurance Service in 2009 were followed up till 2018 (n=2,208,559).
Results
In premenopausal women, a significant increment of mortality rate was found in underweight and obesity class II (hazard ratio [HR], 1.48; 95% confidence interval [CI], 1.31 to 1.67; and HR, 1.25; 95% CI, 1.12 to 1.39) compared to normal body mass index (BMI); overweight and obesity class I did not affect mortality rate. In postmenopausal women, obesity as well as overweight status reduced the risk of mortality compared to normal BMI (HR, 0.86; 95% CI, 0.83 to 0.88; and HR, 0.84; 95% CI, 0.82 to 0.86). By contrast, there was a linear association between CVD and BMI above the normal range irrespective of menopausal status, which was attenuated in diabetic women.
Conclusion
The current study replicated the J-shaped relationship between BMI and mortality, being more prominent in the postmenopausal group. The risk of CVD was linearly increased as BMI was increased above the normal range irrespective of menopausal status.

Citations

Citations to this article as recorded by  
  • A link between smoking behaviors and the risk of hidradenitis suppurativa in diabetic patients
    Hwa Jung Yook, Esther Kim, Yeong Ho Kim, Gyu-Na Lee, Kyungdo Han, Ji Hyun Lee, Emanuele Scala
    PLOS One.2025; 20(6): e0325357.     CrossRef
  • Biosocial predictors and blood pressure goal attainment among postmenopausal women with hypertension
    Geetha Kandasamy, Thangamani Subramani, Gigi Sam, Mona Almanasef, Tahani Almeleebia, Eman Shorog, Asma M. Alshahrani, Amjad Hmlan, Atheer Y. Al Suhaym, Kousalya Prabahar, Vinoth Prabhu Veeramani, Palanisamy Amirthalingam
    Frontiers in Cardiovascular Medicine.2024;[Epub]     CrossRef
  • A nationwide cohort study on diabetes severity and risk of Parkinson disease
    Kyungdo Han, Bongsung Kim, Seung Hwan Lee, Mee Kyoung Kim
    npj Parkinson's Disease.2023;[Epub]     CrossRef
  • Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus
    Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(1): 45.     CrossRef
  • The effect of menopause on cardiovascular risk factors according to body mass index in middle-aged Korean women
    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee, Aysha Almas
    PLOS ONE.2023; 18(3): e0283393.     CrossRef
  • Low‐quality muscle mass rather than normal‐quality muscle mass determines fibrosis progression in biopsy‐proven NAFLD
    Yun Kyu Lee, Bo Kyung Koo, Sae Kyung Joo, Dong Hyeon Lee, Heejoon Jang, Jee Won Chai, Myoung Seok Lee, Si Won Jang, Young Ho So, Jeong Hwan Park, Mee Soo Chang, Won Kim
    Alimentary Pharmacology & Therapeutics.2023; 58(3): 322.     CrossRef
  • Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
    Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim
    Respiratory Research.2023;[Epub]     CrossRef
  • Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
    Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
    Scientific Reports.2022;[Epub]     CrossRef
  • Non-pharmacologic treatment for obesity
    Bo Kyung Koo
    Journal of the Korean Medical Association.2022; 65(7): 400.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat
Sun Ok Song, You-Cheol Hwang, Han Uk Ryu, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
Endocrinol Metab. 2021;36(4):835-844.   Published online August 27, 2021
DOI: https://doi.org/10.3803/EnM.2021.1130
  • 6,874 View
  • 128 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Both intra-abdominal fat (IAF) and high-density lipoprotein cholesterol (HDL-C) are known to be associated with cardiometabolic health. We evaluated whether the accumulation of computed tomography (CT)-measured IAF over 5 years was related to baseline HDL-C concentration in a prospective cohort study.
Methods
All participants were Japanese-Americans between the ages of 34 and 74 years. Plasma HDL-C concentration and CT measurements of IAF, abdominal subcutaneous fat (SCF), and thigh SCF cross-sectional areas were assessed at baseline and at 5-year follow-up visits.
Results
A total of 397 subjects without diabetes were included. The mean±standard deviation HDL-C concentration was 51.6±13.0 mg/dL in men and 66.0±17.0 mg/dL in women, and the IAF was 91.9±48.4 cm2 in men and 63.1±39.5 cm2 in women. The baseline plasma concentration of HDL-C was inversely associated with the change in IAF over 5 years using multivariable regression analysis with adjustment for age, sex, family history of diabetes, weight change over 5 years, and baseline measurements of body mass index, IAF, abdominal SCF, abdominal circumference, thigh SCF, and homeostatic model assessment for insulin resistance.
Conclusion
These results demonstrate that HDL-C concentration significantly predicts future accumulation of IAF over 5 years independent of age, sex, insulin sensitivity, and body composition in Japanese-American men and women without diabetes.

Citations

Citations to this article as recorded by  
  • Visceral Fat Area and Subcutaneous Fat Area Increase in Hyperthyroidism Patients After Treatment—A Single-Group Repeated-Measures Trial
    Mengnan Li, Xifeng Yang, Ru Li, Baofeng Wu, Jinxuan Hao, Yijie Qi, Tao Bai, Luyang Yang, Yi Zhang, Yunfeng Liu
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 2165.     CrossRef
  • Subcutaneous Fat Thickness with HDL and LDL Levels in Overweight Female Student
    Amilia Yuni Damayanti, Fatimah Fatimah, Lulu’ Luthfiya, Afina Deni Kusumadiastuti
    Amerta Nutrition.2023; 7(2SP): 13.     CrossRef
  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • The associations between lipid profiles and visceral obesity among gastrointestinal cancer patients: a cross-sectional study
    Bo Gao, Xiangrui Li, Wenqing Chen, Shu’an Wang, Jian He, Yu Liu, Chao Ding, Xiaotian Chen
    Lipids in Health and Disease.2022;[Epub]     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Differences in Abdominal Body Composition According to Glycemic Status: An Inverse Probability Treatment Weighting Analysis
Seungbong Han, Young-Jee Jeon, Gyung-Min Park, Tae Young Lee, Soon Eun Park, Gyeongseok Yu, Byung Ju Kang
Endocrinol Metab. 2021;36(4):855-864.   Published online August 11, 2021
DOI: https://doi.org/10.3803/EnM.2021.1086
  • 4,998 View
  • 131 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Several studies have reported that abdominal fat and muscle changes occur in diabetic patients. However, there are few studies about such changes among prediabetic patients. In this study, we evaluated the differences in abdominal fat and muscles based on abdominopelvic computed tomography in prediabetic and diabetic subjects compared to normal subjects.
Methods
We performed a cross-sectional study using health examination data from March 2014 to June 2019 at Ulsan University Hospital and classified subjects into normal, prediabetic, and diabetic groups. We analyzed the body mass index corrected area of intra-abdominal components among the three groups using inverse probability treatment weighting (IPTW) analysis.
Results
Overall, 8,030 subjects were enrolled; 5,137 (64.0%), 2,364 (29.4%), and 529 (6.6%) subjects were included in the normal, prediabetic, and diabetic groups, respectively. After IPTW adjustment of baseline characteristics, there were significant differences in log visceral adipose tissue index (VATI; 1.22±0.64 cm2/[kg/m2] vs. 1.30±0.63 cm2/[kg/m2] vs. 1.47±0.64 cm2/[kg/m2], P<0.001) and low-attenuation muscle index (LAMI; 1.02±0.36 cm2/[kg/m2] vs. 1.03±0.36 cm2/[kg/m2] vs. 1.09±0.36 cm2/[kg/m2], P<0.001) among the normal, prediabetic, and diabetic groups. Prediabetic subjects had higher log VATI (estimated coefficient= 0.082, P<0.001), and diabetic subjects had higher log VATI (estimated coefficient=0.248, P<0.001) and LAMI (estimated coefficient=0.078, P<0.001) compared to normal subjects.
Conclusion
Considering that VATI and LAMI represented visceral fat and lipid-rich skeletal muscle volumes, respectively, visceral obesity was identified in both prediabetic and diabetic subjects compared to normal subjects in this study. However, intra-muscular fat infiltration was observed in diabetic subjects only.

Citations

Citations to this article as recorded by  
  • Quantitative CT histogram indices for abdominal muscles are associated with coronary artery disease severity
    G. Geng, Z. Li, T. Yuan, G.-M. Quan
    Clinical Radiology.2025; 83: 106840.     CrossRef
  • Testosterone is associated with abdominal body composition derived from computed tomography: a large cross sectional study
    Seungbong Han, Young-Jee Jeon, Tae Young Lee, Gyung-Min Park, Sungchan Park, Seong Cheol Kim
    Scientific Reports.2022;[Epub]     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Expression of LONP1 Is High in Visceral Adipose Tissue in Obesity, and Is Associated with Glucose and Lipid Metabolism
Ju Hee Lee, Saet-Byel Jung, Seong Eun Lee, Ji Eun Kim, Jung Tae Kim, Yea Eun Kang, Seul Gi Kang, Hyon-Seung Yi, Young Bok Ko, Ki Hwan Lee, Bon Jeong Ku, Minho Shong, Hyun Jin Kim
Endocrinol Metab. 2021;36(3):661-671.   Published online June 22, 2021
DOI: https://doi.org/10.3803/EnM.2021.1023
  • 6,534 View
  • 165 Download
  • 10 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The nature and role of the mitochondrial stress response in adipose tissue in relation to obesity are not yet known. To determine whether the mitochondrial unfolded protein response (UPRmt) in adipose tissue is associated with obesity in humans and rodents.
Methods
Visceral adipose tissue (VAT) was obtained from 48 normoglycemic women who underwent surgery. Expression levels of mRNA and proteins were measured for mitochondrial chaperones, intrinsic proteases, and components of electron-transport chains. Furthermore, we systematically analyzed metabolic phenotypes with a large panel of isogenic BXD inbred mouse strains and Genotype-Tissue Expression (GTEx) data.
Results
In VAT, expression of mitochondrial chaperones and intrinsic proteases localized in inner and outer mitochondrial membranes was not associated with body mass index (BMI), except for the Lon protease homolog, mitochondrial, and the corresponding gene LONP1, which showed high-level expression in the VAT of overweight or obese individuals. Expression of LONP1 in VAT positively correlated with BMI. Analysis of the GTEx database revealed that elevation of LONP1 expression is associated with enhancement of genes involved in glucose and lipid metabolism in VAT. Mice with higher Lonp1 expression in adipose tissue had better systemic glucose metabolism than mice with lower Lonp1 expression.
Conclusion
Expression of mitochondrial LONP1, which is involved in the mitochondrial quality control stress response, was elevated in the VAT of obese individuals. In a bioinformatics analysis, high LONP1 expression in VAT was associated with enhanced glucose and lipid metabolism.

Citations

Citations to this article as recorded by  
  • Enhanced mitochondrial biogenesis facilitates the development of cutaneous squamous cell carcinoma
    Ziyang Wang, Ke He, Meng Liu, Weiqiang Lv, Baochen Cheng, Guanfei Zhang, Xueqiang Wang, Mengqi Zeng, Lianying Jiao, Shujun Han, Yan Zheng, Zhihui Feng
    Cancer Letters.2025; 618: 217623.     CrossRef
  • LONP1 facilitates pulmonary artery smooth muscle cell glycolytic reprogramming by degrading MPC1 in pulmonary hypertension
    Mingkang Li, Wenkang Zhang, Minhao Zhang, Linqing Li, Yuyu Yao, Yuhan Qin, Dong Wang, Gaoliang Yan, Yong Qiao, Chengchun Tang
    Clinical Science.2025; 139(10): 479.     CrossRef
  • LONP1 ameliorates liver injury and improves gluconeogenesis dysfunction in acute-on-chronic liver failure
    Muchen Wu, Jing Wu, Kai Liu, Minjie Jiang, Fang Xie, Xuehong Yin, Jushan Wu, Qinghua Meng
    Chinese Medical Journal.2024; 137(2): 190.     CrossRef
  • Tissue‐specific roles of mitochondrial unfolded protein response during obesity
    Fernanda S. Carneiro, Carlos K. Katashima, Joshua D. Dodge, Dennys E. Cintra, José Rodrigo Pauli, Adelino S. R. Da Silva, Eduardo R. Ropelle
    Obesity Reviews.2024;[Epub]     CrossRef
  • Mitochondrial quality control proteases and their modulation for cancer therapy
    Jiangnan Zhang, Wenliang Qiao, Youfu Luo
    Medicinal Research Reviews.2023; 43(2): 399.     CrossRef
  • Effects of Obesity and Calorie Restriction on Cancer Development
    Ekaterina Sergeeva, Tatiana Ruksha, Yulia Fefelova
    International Journal of Molecular Sciences.2023; 24(11): 9601.     CrossRef
  • Mitochondrial Dysfunction Associated with mtDNA in Metabolic Syndrome and Obesity
    Natalia Todosenko, Olga Khaziakhmatova, Vladimir Malashchenko, Kristina Yurova, Maria Bograya, Maria Beletskaya, Maria Vulf, Natalia Gazatova, Larisa Litvinova
    International Journal of Molecular Sciences.2023; 24(15): 12012.     CrossRef
  • Down‐regulation of Lon protease 1 lysine crotonylation aggravates mitochondrial dysfunction in polycystic ovary syndrome
    Yuan Xie, Shuwen Chen, Zaixin Guo, Ying Tian, Xinyu Hong, Penghui Feng, Qiu Xie, Qi Yu
    MedComm.2023;[Epub]     CrossRef
  • The mitochondrial unfolded protein response: A multitasking giant in the fight against human diseases
    Zixin Zhou, Yumei Fan, Ruikai Zong, Ke Tan
    Ageing Research Reviews.2022; 81: 101702.     CrossRef
Close layer
Clinical Study
Predictive Performance of Glycated Hemoglobin for Incident Diabetes Compared with Glucose Tolerance Test According to Central Obesity
Suji Yoo, Jaehoon Jung, Hosu Kim, Kyoung Young Kim, Soo Kyoung Kim, Jungwha Jung, Jong Ryeal Hahm, Jong Ha Baek
Endocrinol Metab. 2020;35(4):873-881.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.798
  • 5,677 View
  • 120 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To examine whether glycated hemoglobin (HbA1c) test would be a suitable screening tool for detecting high-risk subjects for diabetes compared to oral glucose tolerance test (OGTT) according to accompanied central obesity.
Methods
In this prospective population-based cohort study, both OGTT and HbA1c tests were performed and continued every 2 years up to 12 years among individuals with non-diabetic state at baseline (aged 40 to 69 years, n=7,512). Incident diabetes was established by a doctor, HbA1c ≥6.5%, and/or fasting plasma glucose (FPG) ≥126 mg/dL, and/or 2-hour postprandial glucose (2hPG) level based on OGTT ≥200 mg/dL. Discriminative capacities of high HbA1c (≥5.7%) versus high 2hPG (≥140 mg/dL) for predicting incident diabetes were compared using Cox-proportional hazard regression and C-index.
Results
During the median 11.5 years of follow-up period, 1,341 (17.6%) developed diabetes corresponding to an incidence of 22.1 per 1,000 person-years. Isolated high 2hPG was associated with higher risk for incident diabetes (hazard ratio [HR], 4.29; 95% confidence interval [CI], 3.56 to 5.17) than isolated high HbA1c (HR, 2.79; 95% CI, 2.40 to 3.26; P<0.05). In addition, high 2hPG provided better discriminatory capacity than high HbA1c (C-index 0.79 vs. 0.75, P<0.05). Meanwhile, in subjects with central obesity, the HR (3.95 [95% CI, 3.01 to 5.18] vs. 2.82 [95% CI, 2.30 to 3.46]) and discriminatory capacity of incident diabetes (C-index 0.75 vs. 0.75) between two subgroups became comparable.
Conclusion
Even though the overall inferior predictive capacity of HbA1c test than OGTT, HbA1c test might plays a complementary role in identifying high risk for diabetes especially in subjects with central obesity with increased sensitivity.

Citations

Citations to this article as recorded by  
  • Assessing blood sugar measures for predicting new-onset diabetes and cardiovascular disease in community-dwelling adults
    Jung-Hwan Kim, Yaeji Lee, Chung-Mo Nam, Yu-Jin Kwon, Ji-Won Lee
    Endocrine.2024; 86(2): 528.     CrossRef
Close layer
Review Articles
Obesity and Metabolism
Genetic and Environmental Factors Contributing to Visceral Adiposity in Asian Populations
Rachel Williams, Muthu Periasamy
Endocrinol Metab. 2020;35(4):681-695.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.772
  • 19,672 View
  • 284 Download
  • 39 Web of Science
  • 43 Crossref
AbstractAbstract PDFPubReader   ePub   
Obesity-associated metabolic illnesses are increasing at an alarming rate in Asian countries. A common feature observed in the Asian population is a higher incidence of abdominal obesity—the “skinny-fat” Asian syndrome. In this review, we critically evaluate the relative roles of genetics and environmental factors on fat distribution in Asian populations. While there is an upward trend in obesity among most Asian countries, it appears particularly conspicuous in Malaysia. We propose a novel theory, the Malaysian gene-environment multiplier hypothesis, which explains how ancestral variations in feast-and-famine cycles contribute to inherited genetic predispositions that, when acted on by modern-day stressors—most notably, urbanization, westernization, lifestyle changes, dietary transitions, cultural pressures, and stress—contribute to increased visceral adiposity in Asian populations. At present, the major determinants contributing to visceral adiposity in Asians are far from conclusive, but we seek to highlight critical areas for further research.

Citations

Citations to this article as recorded by  
  • Personalized Lifestyle Modifications for Improved Metabolic Health: The Role of Cultural Sensitivity and Health Communication in Type 2 Diabetes Management
    Catherine Saenz, Manisha Salinas, Russell L. Rothman, Richard O. White
    Journal of the American Nutrition Association.2025; 44(3): 198.     CrossRef
  • Normal Weight Central Obesity and its Impact on Type 2 Diabetes Mellitus
    Jing Bai, Yifan Zhang, Li He, Yang Zhao
    Current Diabetes Reports.2025;[Epub]     CrossRef
  • The relationships between sleep and adiposity amongst multi-ethnic Asian populations: a cross-sectional analysis of the Health for Life in Singapore (HELIOS) study
    Chih Chiang Benjamin Lam, Theresia Mina, Wubin Xie, Yanwen Dorrain Low, Yik Weng Yew, Xiaoyan Wang, Elio Riboli, Paul Elliott, Jimmy Lee, Joanne Ngeow, Eng Sing Lee, Marie Loh, John C. Chambers
    International Journal of Obesity.2025; 49(4): 596.     CrossRef
  • Skinny fat model of metabolic syndrome induced by a high-salt/sucrose diet in young male rats
    Keilah Valéria Naves Cavalcante, Marcos Divino Ferreira-Junior, Marina Conceição dos Santos Moreira, Stefanne Madalena Marques, James Oluwagbamigbe Fajemiroye, Rosiane Aparecida Miranda, Patrícia Cristina Lisboa, Egberto Gaspar de Moura, Carlos Henrique X
    British Journal of Nutrition.2025; 133(2): 171.     CrossRef
  • Effects of canola oil on body weight and composition in adults: an updated systematic review and meta-analysis of 32 randomized controlled trials
    Abbas Mohtashamian, Masoumeh Mahabady, Fatemeh Bagheri, Hanieh Barghchi, Azadeh Aminianfar
    Nutrition Journal.2025;[Epub]     CrossRef
  • Effect of once-weekly subcutaneous semaglutide on abdominal visceral fat area in Japanese adults with overweight and obesity: A post hoc analysis of the STEP 6 trial
    Takashi Kadowaki, Tomoyuki Nishida, Wataru Ogawa, Maria Overvad, Kazuyuki Tobe, Toshimasa Yamauchi
    Obesity Research & Clinical Practice.2025; 19(2): 146.     CrossRef
  • Maximal weight change during adulthood and breast cancer risk: A 14-year follow-up of the Guangzhou Biobank Cohort Study
    Xiao Yi Lin, Jiao Wang, Wei Sen Zhang, Chao Qiang Jiang, Ya Li Jin, Kar Keung Cheng, Tai Hing Lam, Lin Xu
    Cancer Epidemiology.2025; 97: 102825.     CrossRef
  • The Impact of Obesity on the Association between Parity and Risk of Type 2 Diabetes Mellitus
    Yuki Gen, Kyuho Kim, Joonyub Lee, Junyoung Jung, Sang-Hyuk Jung, Hong-Hee Won, Dokyoon Kim, Yun-Sung Jo, Yu-Bae Ahn, Seung-Hyun Ko, Jae-Seung Yun
    Diabetes & Metabolism Journal.2025; 49(4): 837.     CrossRef
  • External validation of Prediabetes Risk Test in Indian population for screening prediabetes
    Radhika Aditya Jadhav, G. Arun Maiya, Shashikiran Umakanth, K.N. Shivashankara
    Medical Journal Armed Forces India.2024; 80: S107.     CrossRef
  • Differences in the levels of inflammatory markers between metabolically healthy obese and other obesity phenotypes in adults: A systematic review and meta-analysis
    Zhouli Su, Ljupcho Efremov, Rafael Mikolajczyk
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(2): 251.     CrossRef
  • Clinical outcomes of obese and nonobese patients with atrial fibrillation according to associated metabolic abnormalities: A report from the COOL‐AF registry
    Rungroj Krittayaphong, Thanita Boonyapiphat, Arjbordin Winijkul, Gregory Y. H. Lip
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Relationship between metabolically healthy obesity and coronary artery calcification
    Yoo-Bin Seo, Sung-Goo Kang, Sang-Wook Song
    Obesity Research & Clinical Practice.2024; 18(1): 28.     CrossRef
  • Visceral Adipose Tissue: The Hidden Culprit for Type 2 Diabetes
    Sneha Dhokte, Krzysztof Czaja
    Nutrients.2024; 16(7): 1015.     CrossRef
  • Diagnostics of the body composition of an elderly person to assess the prognosis of his health
    S. V. Bulgakova, D. P. Kurmaev, E. V. Treneva
    Experimental and Clinical Gastroenterology.2024; (2): 89.     CrossRef
  • Clinical Practice Guidelines for the Management of Type 2 Diabetes in South Asia: A Systematic Review
    Alina Pervez, Areesha Ahmer, Omar Mahmud, Russell Seth Martins, Hawra Hussain, Sameen Nasir, Sonia Pirzada, Mohsin Ali Mustafa, Uswah Siddiqi, Maheen Zakaria, Nashia Ali Rizvi, Ainan Arshad, Adil H. Haider, Sarah Nadeem
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(7): 103094.     CrossRef
  • Cardiorespiratory fitness and body mass index on metabolic syndrome in middle-aged Japanese adults under national health guidance: a cross-sectional study
    Xiangyu Zhai, Susumu S. Sawada, Sayaka Kurosawa, Sakura Koriyama, Serena A. Dimitroff, Shinji Sato, Yuko Oguma, Yoshio Nakata, Kazushi Maruo, Motohiko Miyachi, Yuko Gando, Koichiro Oka, Duck-chul Lee
    BMC Public Health.2024;[Epub]     CrossRef
  • Bariatric and Metabolic Surgery in the Adult Population
    Betemariam Sharew, Nandan Kodur, Ricard Corcelles, Yael Mauer
    Mayo Clinic Proceedings.2024; 99(10): 1631.     CrossRef
  • Impact of surgical and non-surgical weight loss on echocardiographic and strain parameters in Asian patients
    Kian Keong Poh, Vinay Bahadur Panday, Asim Shabbir, Jinghao Nicholas Ngiam, Ching-Hui Sia, Siew-Pang Chan, Sik Yin Tan, William K. F. Kong, Arthur Mark Richards, James D. Thomas
    Scientific Reports.2024;[Epub]     CrossRef
  • Differences in metabolic syndrome severity and prevalence across nine waist circumference measurements collected from smartphone digital anthropometrics
    Austin J. Graybeal, Caleb F. Brandner, Abby T. Compton, Sydney H. Swafford, Ryan S. Aultman, Anabelle Vallecillo-Bustos, Jon Stavres
    Clinical Nutrition ESPEN.2024; 64: 390.     CrossRef
  • The modified role including mediating and synergistic interactive effects of glucose tolerance status in the associations between relative fat mass and the risks of cardiovascular disease and all-cause mortality from the 4C cohort study
    Peiqiong Luo, Danpei Li, Yaming Guo, Xiaoyu Meng, Ranran Kan, Xuefeng Yu
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Epicardial, peripancreatic and other “orthotopic” excessive fat deposition in south Asians and Europeans: Are differences clinically relevant?
    Niki Katsiki, Manfredi Rizzo, Dimitri P. Mikhailidis
    Journal of Diabetes and its Complications.2023; 37(4): 108419.     CrossRef
  • Evaluation of Nutritional Characteristics Reveals Similar Prevalence of Malnutrition in Patients with Ulcerative Colitis and Crohn’s Disease
    Arshdeep Singh, Vandana Midha, Ramit Mahajan, Shruti Verma, Chandan Kakkar, Jasmine Grover, Dharmatma Singh, Ramandeep Kaur, Abhishek Masih, Namita Bansal, Catherine Wall, Ajit Sood
    Digestive Diseases and Sciences.2023; 68(2): 580.     CrossRef
  • A comparison study of prevalence, awareness, treatment and control rates of hypertension and associated factors among adults in China and the United States based on national survey data
    Xiaomin Sun, Xinguang Chen, Zumin Shi, Alice Fang Yan, Zhongying Li, Shiqi Chen, Bingtong Zhao, Wen Peng, Xi Li, Mei Zhang, Limin Wang, Jing Wu, Youfa Wang
    Global Health Journal.2023; 7(1): 24.     CrossRef
  • Clinical characteristics and efficacy of pioglitazone in a Japanese patient with familial partial lipodystrophy due to peroxisome proliferator-activated receptor γ gene mutation
    Toru Iizaka, Eriko Kodama, Kentaro Mikura, Tatsuya Iida, Hideyuki Imai, Mai Hashizume, Yasuyoshi Kigawa, Chiho Sugisawa, Rie Tadokoro, Kei Endo, Fumiko Otsuka, Masayo Isoda, Ken Ebihara, Shun Ishibashi, Shoichiro Nagasaka
    Endocrine Journal.2023; 70(1): 69.     CrossRef
  • Sex- and age-specific association between outdoor light at night and obesity in Chinese adults: A national cross-sectional study of 98,658 participants from 162 study sites
    Xiaoyun Zhang, Ruizhi Zheng, Zhuojun Xin, Zhiyun Zhao, Mian Li, Tiange Wang, Min Xu, Jieli Lu, Shuangyuan Wang, Hong Lin, Weiqing Wang, Guang Ning, Yufang Bi, Yuhong Chen, Yu Xu
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Obesity and Abdominal Obesity in Indian Population: Findings from a Nationally Representative Study of 698,286 Participants
    Rajat Das Gupta, Nowrin Tamanna, Nazeeba Siddika, Shams Shabab Haider, Ehsanul Hoque Apu, Mohammad Rifat Haider
    Epidemiologia.2023; 4(2): 163.     CrossRef
  • Factors Associated with Normal-Weight Abdominal Obesity Phenotype in a Representative Sample of the Peruvian Population: A 4-Year Pooled Cross-Sectional Study
    Jamee Guerra Valencia, Lorena Saavedra-Garcia, Víctor Juan Vera-Ponce, Rubén Espinoza-Rojas, Noel C. Barengo
    Journal of Clinical Medicine.2023; 12(10): 3482.     CrossRef
  • Gene–Diet Interactions on Metabolic Disease-Related Outcomes in Southeast Asian Populations: A Systematic Review
    Padmini Sekar, Eduard Flores Ventura, Anto Cordelia T. A. Dhanapal, Eddy Seong Guan Cheah, Annaletchumy Loganathan, Phoon Lee Quen, Mahenderan Appukutty, Nurpudji Astuti Taslim, Hardinsyah Hardinsyah, Mohd Fairulnizal Md Noh, Julie A Lovegrove, Ian Givens
    Nutrients.2023; 15(13): 2948.     CrossRef
  • Assessing the usefulness of a newly proposed metabolic score for visceral fat in predicting future diabetes: results from the NAGALA cohort study
    Ruijuan Yang, Maobin Kuang, Jiajun Qiu, Changhui Yu, Guotai Sheng, Yang Zou
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • A maladaptive parental effect: offspring survival decreases with maternal over-condition in an amphibian
    Emily A Harmon, Tianxiu Li, Patrick W Kelly, Catherine Chen, David W Pfennig, Karin S Pfennig
    Biological Journal of the Linnean Society.2023; 140(4): 578.     CrossRef
  • Epicardial fat and Stage B heart failure among overweight/obese and normal weight individuals with diabetes mellitus
    Yukari Kobayashi, Tomoko Nishi, Jeffery W. Christle, Nicholas Cauwenberghs, Tatiana Kuznetsova, Latha Palaniappan, Francois Haddad
    The International Journal of Cardiovascular Imaging.2023; 39(12): 2451.     CrossRef
  • Association between individual and environmental factors with body mass index for age z-score in female adolescents living in North-West of Iran
    Bahareh Seyyedin, Nasrin Omidvar, Bahar Bakhshi, Farid Zayeri, Arezoo Rezazadeh
    Nutrition & Food Science .2022; 52(4): 595.     CrossRef
  • Obesity epidemic through the prism of evolutionary processes
    O. T. Kim, O. M. Drapkina
    Cardiovascular Therapy and Prevention.2022; 21(1): 3109.     CrossRef
  • East Asian perspectives in metabolic and bariatric surgery
    Tae Jung Oh, Hyuk‐Joon Lee, Young Min Cho
    Journal of Diabetes Investigation.2022; 13(5): 756.     CrossRef
  • Measurement of visceral fat for early prediction of prediabetes—Cross-sectional study from Southern India
    Radhika A. Jadhav, G. Arun Maiya, K.N. Shivashankara, Shashikiran Umakanth
    Journal of Taibah University Medical Sciences.2022; 17(6): 983.     CrossRef
  • Interaction of polygenic variants specific for abdominal obesity risk with energy metabolism in large Korean cohorts
    Sunmin Park
    Nutrition Bulletin.2022; 47(3): 307.     CrossRef
  • Interconnection between cardiovascular, renal and metabolic disorders: A narrative review with a focus on Japan
    Takashi Kadowaki, Hiroshi Maegawa, Hirotaka Watada, Daisuke Yabe, Koichi Node, Toyoaki Murohara, Jun Wada
    Diabetes, Obesity and Metabolism.2022; 24(12): 2283.     CrossRef
  • Relationship between the Duration of Urban Nature and a Lower Waist-Hip Ratio
    Pongsakorn Suppakittpaisarn, Nadchawan Charoenlertthanakit, Ekachai Yaipimol, Vipavee Surinseng, Chulalux Wanitchayapaisit, Gunwoo Kim
    International Journal of Environmental Research and Public Health.2022; 19(18): 11606.     CrossRef
  • Relationship of Functional Constipation and Growth Status: A Systematic Review and Meta-Analysis
    Glen Lazarus, Michelle Clarissa Junaidi, Hanifah Oswari
    Journal of Pediatric Gastroenterology & Nutrition.2022; 75(6): 702.     CrossRef
  • Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia
    Anto Cordelia T. A. Dhanapal, Ramatu Wuni, Eduard F. Ventura, Teh Kuan Chiet, Eddy S. G. Cheah, Annaletchumy Loganathan, Phoon Lee Quen, Mahenderan Appukutty, Mohd F. M. Noh, Ian Givens, Karani Santhanakrishnan Vimaleswaran
    Nutrients.2022; 14(23): 5108.     CrossRef
  • Sex-specific association of exposure to bedroom light at night with general and abdominal adiposity in young adults
    Yu-xiang Xu, An-hui Zhang, Yang Yu, Yu-hui Wan, Fang-biao Tao, Ying Sun
    Ecotoxicology and Environmental Safety.2021; 223: 112561.     CrossRef
  • Expert opinion on the preoperative medical optimization of adults with diabetes undergoing metabolic surgery
    Saptarshi Bhattacharya, Sanjay Kalra, Nitin Kapoor, Rajiv Singla, Deep Dutta, Sameer Aggarwal, Deepak Khandelwal, Vineet Surana, Atul Dhingra, Viny Kantroo, Sachin Chittawar, Nilakshi Deka, Vivek Bindal, Puja Dutta
    World Journal of Diabetes.2021; 12(10): 1587.     CrossRef
  • Unravelling Polycystic Ovary Syndrome and Its Comorbidities
    Kyung-Wook Kim
    Journal of Obesity & Metabolic Syndrome.2021; 30(3): 209.     CrossRef
Close layer
Obesity and Metabolism
Metabolically Healthy and Unhealthy Normal Weight and Obesity
Norbert Stefan
Endocrinol Metab. 2020;35(3):487-493.   Published online August 20, 2020
DOI: https://doi.org/10.3803/EnM.2020.301
  • 13,266 View
  • 521 Download
  • 51 Web of Science
  • 53 Crossref
AbstractAbstract PDFPubReader   ePub   
Increased fat mass is an established risk factor for the cardiometabolic diseases type 2 diabetes and cardiovascular disease (CVD) and is associated with increased risk of all-cause and CVD mortality. However, also very low fat mass associates with such an increased risk. Whether impaired metabolic health, characterized by hypertension, dyslipidemia, hyperglycemia, insulin resistance, and subclinical inflammation, may explain part of the elevated risk of cardiometabolic diseases that is found in many subjects with very low fat mass, as it does in many obese subjects, is unknown. An important pathomechanism of impaired metabolic health is disproportionate fat distribution. In this article the risk of cardiometabolic diseases and mortality in subjects with metabolically healthy and unhealthy normal weight and obesity is summarized. Furthermore, the change of metabolic health during a longer period of follow-up and its impact on cardiometabolic diseases is being discussed. Finally, the implementation of the concept of metabolic health in daily clinical practice is being highlighted.

Citations

Citations to this article as recorded by  
  • Polyphenols from Edible Brown Seaweeds Against Adiposopathy-Associated Metabolic Ailments
    Senthil Arun Kumar, Surabhi Dinesh Sharma, Vaani Katyal R, Chaudhary Yasmeen Gulzar Ahmed
    Food Reviews International.2025; 41(6): 1653.     CrossRef
  • Relationship between dietary intake and atherogenic index of plasma in cardiometabolic phenotypes: a cross-sectional study from the Azar cohort population
    Shirin Soheilifard, Elnaz Faramarzi, Reza Mahdavi
    Journal of Health, Population and Nutrition.2025;[Epub]     CrossRef
  • Uncoupling Proteins Variants Are Linked to Hypercholesterolemia and Abdominal Obesity in Metabolically Unhealthy Women
    Erika Sierra-Ruelas, Nathaly Torres-Castillo, Barbara Vizmanos, Wendy Campos Pérez, Erika Martínez-López
    Lifestyle Genomics.2025; 18(1): 27.     CrossRef
  • Beyond Body Mass Index: New Criteria for a Holistic Approach to Clinical Obesity
    Kyunghun Sung, Seung-Hwan Lee, Soo Lim
    Diabetes & Metabolism Journal.2025; 49(2): 165.     CrossRef
  • Is Measuring BMI and Waist Circumference as Good in Assessing Insulin Resistance as Using Bioelectrical Impedance to Measure Total Body Fat and Visceral Fat?
    María Gordito Soler, Pedro Juan Tárraga López, Ángel Arturo López-González, Hernán Paublini, Emilio Martínez-Almoyna Rifá, María Teófila Vicente-Herrero, José Ignacio Ramírez-Manent
    Diabetology.2025; 6(4): 32.     CrossRef
  • Exploring obesity phenotypes: a longitudinal perspective
    Ricardo Rosero-Revelo, Mateo Tamayo, Ricardo Correa, Kevin M. Pantalone, David Creel, Bartolome Burguera, Marcio L. Griebeler
    Reviews in Endocrine and Metabolic Disorders.2025;[Epub]     CrossRef
  • Differences in fat distribution between metabolically unhealthy people with normal weight versus obesity, NHANES 2011–2018
    Seerat Anand, Tejasvi Pasupneti, Youngju Pak, Sreevastav Teja Kalangi, Rajesh Garg
    BMJ Open Diabetes Research & Care.2025; 13(3): e005118.     CrossRef
  • “I Don’t Approve of a Fat Person…”: A Cross-Sectional Survey Exploring the Perceptions of Health, Weight and Obesity
    Jordan D. Beaumont, Tina Reimann, Rosie Wyld, Beverley O’Hara
    Obesities.2025; 5(3): 49.     CrossRef
  • The Interplay of Cardiometabolic Syndrome Phenotypes and Cardiovascular Risk Indices in Patients Diagnosed with Diabetes Mellitus
    Daniela Denisa Mitroi Sakizlian, Lidia Boldeanu, Adina Mitrea, Diana Clenciu, Ionela Mihaela Vladu, Alina Elena Ciobanu Plasiciuc, Andra Veronica Șarla, Isabela Siloși, Mihail Virgil Boldeanu, Mohamed-Zakaria Assani, Daniela Ciobanu
    International Journal of Molecular Sciences.2025; 26(13): 6227.     CrossRef
  • Metabolically Healthy Obesity and Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): Navigating the Controversies in Disease Development and Progression
    Chrysi Koliaki, Maria Dalamaga, Konstantinos Kakounis, Stavros Liatis
    Current Obesity Reports.2025;[Epub]     CrossRef
  • Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight
    Rachel Agius, Nikolai P. Pace, Stephen Fava
    Diabetes/Metabolism Research and Reviews.2024;[Epub]     CrossRef
  • Comparing verum and sham acupoint catgut embedding for adults with obesity: A systematic review and meta-analysis of randomized clinical trials
    Jin-huan Yue, Xiao-ling Li, Yu-ying Zhang, Guan-hu Yang, Jeffrey Zhong-xue Mah, Ang Li, Wei-wei Zhao, Yu-lin Wang, Qin-hong Zhang, Jia-qi Huang
    Medicine.2024; 103(4): e36653.     CrossRef
  • Association between Weight Change and Incidence of Dyslipidemia in Young Adults: A Retrospective Cohort Study of Korean Male Soldiers
    Joon-Young Yoon, Won Ju Park, Hee Kyung Kim, Ho-Cheol Kang, Cheol-Kyu Park, Wonsuk Choi
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 36.     CrossRef
  • Dietary intake of methyl donor nutrients in relation to metabolic health status, serum levels of brain-derived neurotrophic factor and adropin
    Donya Poursalehi, Keyhan Lotfi, Farnaz Shahdadian, Zahra Hajhashemy, Parisa Rouhani, Parvane Saneei
    Clinical Nutrition.2024; 43(6): 1353.     CrossRef
  • Hyperleptinemia as a Marker of Various Phenotypes of Obesity and Overweight in Women with Rheumatoid Arthritis and Systemic Lupus Erythematosus
    L.V. Kondratyeva, Yu. N. Gorbunova, T. A. Panafidina, T. V. Popkova
    Doklady Biochemistry and Biophysics.2024; 517(1): 182.     CrossRef
  • Digital Biometry as an Obesity Diagnosis Tool: A Review of Current Applications and Future Directions
    Florence Porterfield, Vladyslav Shapoval, Jérémie Langlet, Hanen Samouda, Fatima Cody Stanford
    Life.2024; 14(8): 947.     CrossRef
  • Ling-gui-zhu-gan granules reduces obesity and ameliorates metabolic disorders by inducing white adipose tissue browning in obese mice
    Yuxiu Li, Zimengwei Ye, Yi Zhao, Bingrui Xu, Wanying Xue, Zhufeng Wang, Ran An, Fan Wang, Rui Wu
    Frontiers in Physiology.2024;[Epub]     CrossRef
  • Correlation between tooth decay and insulin resistance in normal weight males prompts a role for myo-inositol as a regenerative factor in dentistry and oral surgery: a feasibility study
    Fulvio Barbaro, Giusy Di Conza, Francesca Pia Quartulli, Enrico Quarantini, Marco Quarantini, Nicoletta Zini, Celine Fabbri, Salvatore Mosca, Silvio Caravelli, Massimiliano Mosca, Paolo Vescovi, Simone Sprio, Anna Tampieri, Roberto Toni
    Frontiers in Bioengineering and Biotechnology.2024;[Epub]     CrossRef
  • Prevalence and factors associated with unhealthy metabolic status according to body mass index: analysis of a national nutritional survey
    Víctor Juan Vera-Ponce, Fiorella E. Zuzunaga-Montoya, Luisa Erika Milagros Vásquez-Romero, Joan A. Loayza-Castro, Cori Raquel Iturregui Paucar, Enrique Vigil-Ventura, Carmen Inés Gutiérrez De Carrillo
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • When Being Lean Is Not Enough: The Metabolically Unhealthy Normal Weight Phenotype and Cardiometabolic Disease
    Dahyun Park, Min-Jeong Shin, Faidon Magkos
    CardioMetabolic Syndrome Journal.2024; 4(2): 57.     CrossRef
  • From NAFLD to MAFLD and MASLD: a tale of alcohol, stigma and metabolic dysfunction
    Stefano Ciardullo, Gianluca Perseghin
    Metabolism and Target Organ Damage.2024;[Epub]     CrossRef
  • Insights into optimal BMI from the GlasVEGAS study
    Chun-Kwan O, Juliana C. N. Chan
    Nature Metabolism.2024; 6(8): 1435.     CrossRef
  • The Significance of Comprehensive Metabolic Phenotypes in Cancer Risk: A Japan Multi-Institutional Collaborative Cohort Study
    Takeshi Watanabe, Tien Van Nguyen, Sakurako Katsuura-Kamano, Kokichi Arisawa, Masashi Ishizu, Taichi Unohara, Keitaro Tanaka, Chisato Shimanoe, Mako Nagayoshi, Takashi Tamura, Yuko Kubo, Yasufumi Kato, Isao Oze, Hidemi Ito, Nobuaki Michihata, Yohko Nakamu
    Cancer Research Communications.2024; 4(11): 2986.     CrossRef
  • The Relationship of Waist Circumference with the Morbidity of Cardiovascular Diseases and All-Cause Mortality in Metabolically Healthy Individuals: A Population-Based Cohort Study
    Yue Su, Jinyu Sun, Ying Zhou, Wei Sun
    Reviews in Cardiovascular Medicine.2024;[Epub]     CrossRef
  • Comparison of Health Behavior Factors According to the Presence of Obesity and Metabolic Syndrome in Middle-Aged Men: Based on the Korea National Health and Nutrition Examination Survey (2016-2018)
    Junya Kang, In-Kyung Jung
    Journal of Korean Association of Physical Education and Sport for Girls and Women.2024; 38(4): 201.     CrossRef
  • Metabolically Healthy Obesity
    Purushothaman Padmanabhan, Nagendram Dinakaran, Somnath Verma, S. Keerthana
    Gastroenterology, Hepatology and Endoscopy Practice.2023; 3(1): 1.     CrossRef
  • Effect of metabolic health and obesity on all-cause death and CVD incidence in Korean adults: a retrospective cohort study
    Ye-Seul Kim, Sang-Jun Shin, Yonghwan Kim, Joungyoun Kim, Hee-Taik Kang
    Scientific Reports.2023;[Epub]     CrossRef
  • Coffee and metabolic phenotypes: A cross-sectional analysis of the Japan multi-institutional collaborative cohort (J-MICC) study
    Takeshi Watanabe, Kokichi Arisawa, Tien Van Nguyen, Masashi Ishizu, Sakurako Katsuura-Kamano, Asahi Hishida, Takashi Tamura, Yasufumi Kato, Rieko Okada, Rie Ibusuki, Chihaya Koriyama, Sadao Suzuki, Takahiro Otani, Teruhide Koyama, Satomi Tomida, Kiyonori
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(3): 620.     CrossRef
  • Metabolically unhealthy phenotype in adults with normal weight: Is cardiometabolic health worse off when compared to adults with obesity?
    Myong-Won Seo, Joon Young Kim
    Obesity Research & Clinical Practice.2023; 17(2): 116.     CrossRef
  • Association between metabolic obesity phenotypes and multiple myeloma hospitalization burden: A national retrospective study
    Yue Zhang, Xiude Fan, Chunhui Zhao, Zinuo Yuan, Yiping Cheng, Yafei Wu, Junming Han, Zhongshang Yuan, Yuanfei Zhao, Keke Lu
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Metabolically healthy obesity: Misleading phrase or healthy phenotype?
    Cem Tanriover, Sidar Copur, Abduzhappar Gaipov, Batu Ozlusen, Rustu E. Akcan, Masanari Kuwabara, Mads Hornum, Daniel H. Van Raalte, Mehmet Kanbay
    European Journal of Internal Medicine.2023; 111: 5.     CrossRef
  • Prevalence of combined metabolic health and weight status by various diagnosis criteria and association with cardiometabolic disease in Korean adults
    Myong-Won Seo, Jung-Min Lee, Hyun Chul Jung
    Obesity Research & Clinical Practice.2023; 17(2): 137.     CrossRef
  • Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification
    Åsa Johansson, Ole A. Andreassen, Søren Brunak, Paul W. Franks, Harald Hedman, Ruth J. F. Loos, Benjamin Meder, Erik Melén, Craig E. Wheelock, Bo Jacobsson
    Journal of Internal Medicine.2023; 294(4): 378.     CrossRef
  • Lipid droplet biogenesis and functions in health and disease
    Armella Zadoorian, Ximing Du, Hongyuan Yang
    Nature Reviews Endocrinology.2023; 19(8): 443.     CrossRef
  • Molecular Mechanisms for the Vicious Cycle between Insulin Resistance and the Inflammatory Response in Obesity
    Dariusz Szukiewicz
    International Journal of Molecular Sciences.2023; 24(12): 9818.     CrossRef
  • Insulin Resistance Is the Main Characteristic of Metabolically Unhealthy Obesity (MUO) Associated with NASH in Patients Undergoing Bariatric Surgery
    Sophia M. Schmitz, Sebastian Storms, Alexander Koch, Christine Stier, Andreas Kroh, Karl P. Rheinwalt, Sandra Schipper, Karim Hamesch, Tom F. Ulmer, Ulf P. Neumann, Patrick H. Alizai
    Biomedicines.2023; 11(6): 1595.     CrossRef
  • Hyperleptinemia as a marker of various phenotypes of obesity and overweight in women with rheumatoid arthritis and systemic lupus erythematosus
    L. V. Kondrateva, Yu. N. Gorbunova, T. A. Panafidina, T. V. Popkova
    Rheumatology Science and Practice.2023; 61(3): 339.     CrossRef
  • Predictable Representation of Metabolic Synthesis Pathways of Vitamins and Short-Chain Fatty Acids in Obese Adults
    A. V. Shestopalov, L. A. Ganenko, I. M. Kolesnikova, T. V. Grigoryeva, I. Yu. Vasilyev, Yu. L. Naboka, N. I. Volkova, O. V. Borisenko, S. A. Roumiantsev
    Journal of Evolutionary Biochemistry and Physiology.2023; 59(5): 1510.     CrossRef
  • PREDICTION OF VITAMINS AND SHORT-CHAIN FATTY ACIDS SYNTHESIS PATHWAYS IN OBESE ADULTS
    A. V. Shestopalov, L. A. Ganenko, I. M. Kolesnikova, T. V. Grigoryeva, I. Yu. Vasilyev, Yu. L. Naboka, N. I. Volkova, O. V Borisenko, S. A. Roumiantsev
    Журнал эволюционной биохимии и физиологии.2023; 59(5): 389.     CrossRef
  • Metabolically unhealthy individuals, either with obesity or not, have a higher risk of critical coronavirus disease 2019 outcomes than metabolically healthy individuals without obesity
    Nam Hoon Kim, Kyeong Jin Kim, Jimi Choi, Sin Gon Kim
    Metabolism.2022; 128: 154894.     CrossRef
  • Associations between obesity, metabolic syndrome, and endometrial cancer risk in East Asian women
    Boyoung Park
    Journal of Gynecologic Oncology.2022;[Epub]     CrossRef
  • Insulin and cancer: a tangled web
    Brooks P. Leitner, Stephan Siebel, Ngozi D. Akingbesote, Xinyi Zhang, Rachel J. Perry
    Biochemical Journal.2022; 479(5): 583.     CrossRef
  • Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
    Shao-Chi Chu, Po-Hsi Wang, Kuan-Ying Lu, Chia-Chun Ko, Yun-Hsuan She, Chin-Chan Lee, I-Wen Wu, Chiao-Yin Sun, Heng-Jung Hsu, Heng-Chih Pan
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Dissecting the clinical relevance of polygenic risk score for obesity—a cross-sectional, longitudinal analysis
    Eun Kyung Choe, Manu Shivakumar, Seung Mi Lee, Anurag Verma, Dokyoon Kim
    International Journal of Obesity.2022; 46(9): 1686.     CrossRef
  • Metabolic and Obesity Phenotype Trajectories in Taiwanese Medical Personnel
    Hsin-Yun Chang, Jer-Hao Chang, Yin-Fan Chang, Chih-Hsing Wu, Yi-Ching Yang
    International Journal of Environmental Research and Public Health.2022; 19(13): 8184.     CrossRef
  • Sex Differences in Cardiovascular Impact of Early Metabolic Impairment: Interplay between Dysbiosis and Adipose Inflammation
    Haneen S. Dwaib, Ibrahim AlZaim, Ghina Ajouz, Ali H. Eid, Ahmed El-Yazbi
    Molecular Pharmacology.2022; 102(1): 60.     CrossRef
  • Reduced leukocyte mitochondrial copy number in metabolic syndrome and metabolically healthy obesity
    Rachel Agius, Nikolai Paul Pace, Stephen Fava
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Changes in BMI and physical activity from youth to adulthood distinguish normal-weight, metabolically obese adults from those who remain healthy
    A. Viitasalo, K. Pahkala, T. Lehtimäki, JSA. Viikari, TH. Tammelin, O. Raitakari, TO. Kilpeläinen
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Pathogenesis, Murine Models, and Clinical Implications of Metabolically Healthy Obesity
    Yun Kyung Cho, Yoo La Lee, Chang Hee Jung
    International Journal of Molecular Sciences.2022; 23(17): 9614.     CrossRef
  • Metabolically healthy obesity: it is time to consider its dynamic changes
    Yun Kyung Cho, Chang Hee Jung
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(4): 123.     CrossRef
  • Obesity as a Risk Factor for Breast Cancer—The Role of miRNA
    Karolina Hanusek, Jakub Karczmarski, Anna Litwiniuk, Katarzyna Urbańska, Filip Ambrozkiewicz, Andrzej Kwiatkowski, Lidia Martyńska, Anita Domańska, Wojciech Bik, Agnieszka Paziewska
    International Journal of Molecular Sciences.2022; 23(24): 15683.     CrossRef
  • Propensity Score–Matching Sleeve Gastrectomy (SG) vs. Gastric Bypass (RYGB) in Patients ≥ 60 Years
    Omar Thaher, Stefanie Wolf, Martin Hukauf, Christine Stroh
    Obesity Surgery.2021; 31(6): 2682.     CrossRef
  • Associations between obesity, metabolic health, and the risk of breast cancer in East Asian women
    Boyoung Park, Soyeoun Kim, Hayoung Kim, Chihwan Cha, Min Sung Chung
    British Journal of Cancer.2021; 125(12): 1718.     CrossRef
Close layer
Original Articles
Clinical Study
Apolipoprotein B Levels Predict Future Development of Hypertension Independent of Visceral Adiposity and Insulin Sensitivity
Seung Jin Han, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko
Endocrinol Metab. 2020;35(2):351-358.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.351
  • 9,164 View
  • 140 Download
  • 11 Web of Science
  • 11 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
High plasma apolipoprotein B (apoB) levels have been shown to be associated with hypertension, central obesity, and insulin resistance in cross-sectional research. However, it is unclear whether apoB levels predict future hypertension independent of body composition and insulin sensitivity. Therefore, we prospectively investigated whether plasma apoB concentrations independently predicted the risk of hypertension in a cohort of Japanese Americans.
Methods
A total of 233 normotensive Japanese Americans (77 men, 156 women; mean age, 46.4±11.0 years) were followed over 10 years to monitor them for the development of hypertension. Fasting plasma concentrations of apoB, glucose, and insulin were measured at baseline. Insulin sensitivity was estimated using the homeostasis model assessment of insulin resistance (HOMA-IR). The abdominal visceral and subcutaneous fat areas were measured at baseline using computed tomography. Logistic regression analysis was used to estimate the association between apoB concentrations and the odds of incident hypertension.
Results
The 10-year cumulative incidence of hypertension was 21.5%. The baseline apoB level was found to be positively associated with the odds of incident hypertension over 10 years after adjustment for age, sex, body mass index, systolic blood pressure, abdominal visceral fat area, abdominal subcutaneous fat area, total plasma cholesterol concentration, diabetes status, and HOMA-IR at baseline (odds ratio and 95% confidence interval for a 1-standard deviation increase, 1.89 [1.06 to 3.37]; P=0.030).
Conclusion
Higher apoB concentrations predicted greater risks of future hypertension independent of abdominal visceral fat area and insulin sensitivity in Japanese Americans.

Citations

Citations to this article as recorded by  
  • Effect of age and systemic inflammation on the association between severity of periodontitis and blood pressure in periodontitis patients
    Hongjia Yang, Yixuan Qin, Jiaqi Geng, Jinyue Qu, Qian Cheng, Kuibao Li, Dongxue Zhang
    BMC Oral Health.2025;[Epub]     CrossRef
  • Clinical Research Progress of Apolipoprotein B/Apolipoprotein A1
    小红 李
    Advances in Clinical Medicine.2025; 15(03): 253.     CrossRef
  • The monomer of resveratrol butyrate ester ameliorates obesity and gut microbiota in high-fat diet rats
    Yu-Wei Chen, Rou-Yun Liu, Ming-Kuei Shih, Wen-Wei Lin, Chiu-Min Cheng, Chang-Wei Hsieh, Chih-Yao Hou, Shin-Yu Chen
    Journal of Functional Foods.2024; 118: 106260.     CrossRef
  • Manipulation of Serum Protein Adsorption by Nanoengineered Biomaterials Influences Subsequent Immune Responses
    Richard Bright, Rahul M. Visalakshan, Johanna Simon, Anne Mari Rokstad, Arthur Ghazaryan, Svenja Morsbach, Andrew Hayles, Volker Mailänder, Katharina Landfester, Krasimir Vasilev
    ACS Biomaterials Science & Engineering.2024; 10(10): 6230.     CrossRef
  • Correlation between Central Obesity and Liver Function in Young Adults—A Cross-Sectional Study
    John Alvin, Damodara Gowda KM
    Journal of Health and Allied Sciences NU.2023; 13(02): 273.     CrossRef
  • Serum amyloid A in children and adolescents: association with overweight and carotid intima-media thickness
    Maria Vitória Mareschi Barbosa, João Carlos Pina Faria, Stephanie Ramos Coelho, Fernando Luiz Affonso Fonseca, Andrea Paula Kafejian Haddad, Fabíola Isabel Suano de Souza, Roseli Oselka Saccardo Sarni
    einstein (São Paulo).2023;[Epub]     CrossRef
  • The association of the apolipoprotein B/A1 ratio and the metabolic syndrome in children and adolescents: a systematic review and meta-analysis
    Kayhan Dinpanah, Toba Kazemi, Sameep Shetty, Saeede Khosravi Bizhaem, Ali Fanoodi, Seyed Mohammad Riahi
    Journal of Diabetes & Metabolic Disorders.2023; 23(1): 1.     CrossRef
  • Current Data and New Insights into the Genetic Factors of Atherogenic Dyslipidemia Associated with Metabolic Syndrome
    Lăcramioara Ionela Butnariu, Eusebiu Vlad Gorduza, Elena Țarcă, Monica-Cristina Pânzaru, Setalia Popa, Simona Stoleriu, Vasile Valeriu Lupu, Ancuta Lupu, Elena Cojocaru, Laura Mihaela Trandafir, Ștefana Maria Moisă, Andreea Florea, Laura Stătescu, Minerva
    Diagnostics.2023; 13(14): 2348.     CrossRef
  • Sex-Based Differences and Risk Factors for Comorbid Nonalcoholic Fatty Liver Disease in Patients with Bipolar Disorder: A Cross-Sectional Retrospective Study
    Ying Wang, Yiyi Liu, Xun Zhang, Qing Wu
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 3533.     CrossRef
  • Apolipoprotein B Displays Superior Predictive Value Than Other Lipids for Long-Term Prognosis in Coronary Atherosclerosis Patients and Particular Subpopulations: A Retrospective Study
    Chunyan Zhang, Jingwei Ni, Zhenyue Chen
    Clinical Therapeutics.2022; 44(8): 1071.     CrossRef
  • Genetics of Cholesterol-Related Genes in Metabolic Syndrome: A Review of Current Evidence
    Sok Kuan Wong, Fitri Fareez Ramli, Adli Ali, Nurul ‘Izzah Ibrahim
    Biomedicines.2022; 10(12): 3239.     CrossRef
Close layer
Clinical Study
Visceral-to-Subcutaneous Abdominal Fat Ratio Is Associated with Nonalcoholic Fatty Liver Disease and Liver Fibrosis
Chan-Hee Jung, Eun-Jung Rhee, Hyemi Kwon, Yoosoo Chang, Seungho Ryu, Won-Young Lee
Endocrinol Metab. 2020;35(1):165-176.   Published online March 19, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.1.165
  • 9,164 View
  • 153 Download
  • 37 Web of Science
  • 40 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

We evaluated the association of visceral-to-subcutaneous fat ratio (VSR) with nonalcoholic fatty liver disease (NAFLD) and advanced fibrosis degree based on noninvasive serum fibrosis markers in the general population with NAFLD.

Methods

This is a cross-sectional study, in 7,465 Korean adults who underwent health screening examinations. NAFLD was defined as fatty liver detected on ultrasonography, and visceral and subcutaneous abdominal fat was measured using computed tomography. We predicted fibrosis based on the fibrosis-4 (FIB-4) score and aspartate aminotransferase-to-platelet ratio index (APRI) and categorized the risk for advanced fibrosis as low, indeterminate, or high.

Results

The multivariable-adjusted prevalence ratios for indeterminate to high risk of advanced fibrosis based on FIB-4, determined by comparing the second, third, and fourth quartiles with the first quartile of VSR, were 3.38 (95% confidence interval [CI], 0.64 to 17.97), 9.41 (95% CI, 1.97 to 45.01), and 19.34 (95% CI, 4.06 to 92.18), respectively. The multivariable-adjusted prevalence ratios for intermediate to high degree of fibrosis according to APRI also increased across VSR quartiles (5.04 [95% CI, 2.65 to 9.59], 7.51 [95% CI, 3.91 to 14.42], and 19.55 [95% CI, 9.97 to 38.34], respectively). High VSR was more strongly associated with the prevalence of NAFLD in nonobese subjects than in obese subjects, and the associations between VSR and intermediate to high probability of advanced fibrosis in NAFLD were stronger in obese subjects than in nonobese subjects.

Conclusion

High VSR values predicted increased NAFLD risk and advanced fibrosis risk with NAFLD, and the predictive value of VSR for indeterminate to high risk of advanced fibrosis was higher in obese subjects than in nonobese subjects.

Citations

Citations to this article as recorded by  
  • Serial changes in metabolic dysfunction-associated steatotic liver disease after sleeve gastrectomy and their associations with abdominal adiposity: a prospective cohort study
    Chung-Yi Yang, Jian-Han Chen, Chung-Yen Chen, Cheng-Yi Kao, Shiu-Feng Huang, Wen-Yu Chang, Hung-Pin Tu, Jee-Fu Huang, Ming-Lung Yu, Chi-Ming Tai
    Surgery for Obesity and Related Diseases.2025; 21(5): 537.     CrossRef
  • The relationship between anthropometric indices and non-alcoholic fatty liver disease in adults: a cross-sectional study
    Mina Radmehr, Reza Homayounfar, Abolghasem Djazayery
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • Nomogram for predicting severe abdominal adhesions prior to definitive surgery in patients with anastomotic fistula post-small intestine resection: a cohort study
    Zheng Yao, Weiwei Shang, Fan Yang, Weiliang Tian, Guoping Zhao, Xin Xu, Risheng Zhao MD, Tao Tian, Wuhan Li, Ming Huang, Yunzhao Zhao, Qian Huang
    International Journal of Surgery.2025; 111(2): 2046.     CrossRef
  • Clinical Significance and Therapeutic Approach Concerning Various Abdominal Adipose Tissue Irregularities in End‐Stage Liver Disease
    Qing Liu, Junling Liu, Chao Sun
    Obesity Reviews.2025;[Epub]     CrossRef
  • Opportunistic Extraction of Quantitative CT Biomarkers: Turning the Incidental Into Prognostic Information
    Mohammad Nazri Md Shah, Raja Rizal Azman, Wai Yee Chan, Kwan Hoong Ng
    Canadian Association of Radiologists Journal.2024; 75(1): 92.     CrossRef
  • Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
    Inha Jung, Dae-Jeong Koo, Won-Young Lee
    Diabetes & Metabolism Journal.2024; 48(3): 327.     CrossRef
  • Association between obesity phenotypes and non-alcoholic fatty liver: a large population- based study
    Farid Najafi, Yahya Pasdar, Mehdi Moradi Nazar, Mitra Darbandi
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • Regional fat distribution and hepatic fibrosis and steatosis severity in patients with nonalcoholic fatty liver disease and type 2 diabetes
    Asieh Mansour, Saeed Pourhassan, Hadis Gerami, Mohammad Reza Mohajeri‐Tehrani, Marziye Salahshour, Ali Abbasi, Elham Madreseh, Sayed Mahmoud Sajjadi‐Jazi
    Obesity Science & Practice.2024;[Epub]     CrossRef
  • Visceral to subcutaneous fat area ratio predicts severe abdominal adhesions in definitive surgery for anastomotic fistula after small intestine resection
    Fan Yang, Weiliang Tian, Shikun Luo, Wuhan Li, Guoping Zhao, Risheng Zhao, Tao Tian, Yunzhao Zhao, Zheng Yao, Qian Huang
    Scientific Reports.2024;[Epub]     CrossRef
  • Obesity. Reasons, features and prospects
    E. A. Bondareva, E. A. Troshina
    Obesity and metabolism.2024; 21(2): 174.     CrossRef
  • Differential association of abdominal, liver, and epicardial adiposity with anthropometry, diabetes, and cardiac remodeling in Asians
    Vivian Lee, Yiying Han, Desiree-Faye Toh, Jennifer A. Bryant, Redha Boubertakh, Thu-Thao Le, Calvin W. L. Chin
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Serum immunoglobulin A levels: Diagnostic utility in alcoholic liver disease and association with liver fibrosis in steatotic liver disease
    Tatsuki Ichikawa, Mio Yamashima, Shinobu Yamamichi, Makiko Koike, Yusuke Nakano, Hiroyuki Yajima, Osamu Miyazaki, Tomonari Ikeda, Takuma Okamura, Kazuyoshi Nagata, Kenichi Sawa, Kazutaka Niiya, Kazuhiko Nakao
    Biomedical Reports.2024;[Epub]     CrossRef
  • Helicobacter pylori Infection Is Not Associated with Nonalcoholic Fatty Liver Disease: A Two-Year Cohort Study
    Huabo Zheng, Tangmeng Guo, Xiaofang Zhao, Kun Wang, Shengshuai Shan, Songpu Xie, Yichen Xu, Chengyun Liu, Weilin Lu
    Digestive Diseases.2024; : 1.     CrossRef
  • Association between Knowledge and Practice of Thermally Abused Cooking Oil, Serum Lipid Profile, Body Composition, and Waist Circumference of Hyperlipidemia Patients Running Title: Usage of Reused Cooking Oil on Health Parameters
    Siow Lean Yi, Divya Vanoh
    Malaysian Journal of Medicine and Health Sciences.2024; 20(4): 79.     CrossRef
  • Positive Association Between the Chinese Visceral Adiposity Index and Nonalcoholic Fatty Liver Disease in Lean Adults
    Shuxia Shen, Hangkai Huang, Jinghua Wang, Zexi Tang, Chao Shen, Chengfu Xu
    Digestive Diseases and Sciences.2023; 68(2): 656.     CrossRef
  • Association between Sarcopenic Obesity Status and Nonalcoholic Fatty Liver Disease and Fibrosis
    Wolhwa Song, Sung Hwan Yoo, Jinsun Jang, Su Jung Baik, Byoung Kwon Lee, Hyun Woong Lee, Jong Suk Park
    Gut and Liver.2023; 17(1): 130.     CrossRef
  • Using hyperhomocysteinemia and body composition to predict the risk of non-alcoholic fatty liver disease in healthcare workers
    Xiaoyan Hao, Honghai He, Liyuan Tao, Peng Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Visceral and subcutaneous fat, muscle mass, and liver volume as noninvasive predictors of the progress of non-alcoholic fatty liver disease
    Omar M. Mahmoud, Gehad Abd Elaziz Mahmoud, Haisam Atta, Wael A. Abbas, Hanan M. Ahmed, Mohamed A. A. Abozaid
    Egyptian Journal of Radiology and Nuclear Medicine.2023;[Epub]     CrossRef
  • Relationship between metabolic associated fatty liver disease and body fat ratio, visceral fat area, and resting metabolic rate estimated by bioelectrical impedance analysis
    Deng-Hua He, Yong-Zhan Zhang, Liang Xu, Jia-Jia Pei, Ying Zhang, Zhong-Fang Yan
    World Chinese Journal of Digestology.2023; 31(2): 56.     CrossRef
  • Poor glycaemic control and ectopic fat deposition mediates the increased risk of non-alcoholic steatohepatitis in high-risk populations with type 2 diabetes: Insights from Bayesian-network modelling
    T. Waddell, A. Namburete, P. Duckworth, A. Fichera, A. Telford, H. Thomaides-Brears, D. J. Cuthbertson, M. Brady
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Metabolic Dysfunction-Associated Fatty Liver Disease and Mortality: A Population-Based Cohort Study
    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes & Metabolism Journal.2023; 47(2): 220.     CrossRef
  • Subcutaneous Fat Obesity in a High Body Mass Index Donor Is Not a Contraindication to Living Donor Hepatectomy
    Hirak Pahari, Amey Sonavane, Amruth Raj, Anup Kumar Agrawal, Ambreen Sawant, Deepak Kumar Gupta, Amit Gharat, Vikram Raut, Sorabh Kapoor
    Case Reports in Hepatology.2023; 2023: 1.     CrossRef
  • Comparison of cardiometabolic risk factors between obese and non-obese patients with nonalcoholic fatty liver disease
    Zahra Yari, Danial Fotros, Azita Hekmatdoost
    Scientific Reports.2023;[Epub]     CrossRef
  • Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
    Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
    Clinical and Molecular Hepatology.2023; 29(4): 987.     CrossRef
  • Visceral Adipose Tissue Inflammation and Radiographic Visceral-to-Subcutaneous Adipose Tissue Ratio in Patients with Cirrhosis
    Nghiem B. Ha, Soo-Jin Cho, Yara Mohamad, Dorothea Kent, Grace Jun, Randi Wong, Vivek Swarnakar, Shezhang Lin, Jacquelyn J. Maher, Jennifer C. Lai
    Digestive Diseases and Sciences.2022; 67(7): 3436.     CrossRef
  • The Influence of Obesity and Metabolic Health on Vascular Health
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(1): 1.     CrossRef
  • The effect of combined exercises on the plasma levels of retinol-binding protein 4 and its relationship with insulin resistance and hepatic fat content in postmenopausal women with nonalcoholic fatty liver disease
    Masoumeh NOROUZPOUR, Sayyed M. MARANDI, Mohsen GHANBARZADEH, Abbasali ZARE MAIVAN
    The Journal of Sports Medicine and Physical Fitness.2022;[Epub]     CrossRef
  • The Perirenal Fat Thickness Was Associated with Nonalcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus
    Yuxian Yang, Shuting Li, Yuechao Xu, Jing Ke, Dong Zhao
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1505.     CrossRef
  • Visceral adiposity is an independent risk factor for high intra-operative blood loss during living-donor liver transplantation; could preoperative rehabilitation and nutritional therapy mitigate that risk?
    Mahmoud Macshut, Toshimi Kaido, Siyuan Yao, Yosuke Miyachi, Mohamed Sharshar, Sena Iwamura, Masaaki Hirata, Hisaya Shirai, Naoko Kamo, Shintaro Yagi, Shinji Uemoto
    Clinical Nutrition.2021; 40(3): 956.     CrossRef
  • A review of non‐alcoholic fatty liver disease in non‐obese and lean individuals
    Mitra Ahadi, Kasra Molooghi, Negin Masoudifar, Ali Beheshti Namdar, Hassan Vossoughinia, Mohammadreza Farzanehfar
    Journal of Gastroenterology and Hepatology.2021; 36(6): 1497.     CrossRef
  • Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank
    Matthew T MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A Mankoff, Mitchell D Schnall, Haochang Shou, Julio Chirinos, Scott M Damrauer, Drew A Torigian, Rotonya Carr, Daniel J Rader
    Journal of the American Medical Informatics Association.2021; 28(6): 1178.     CrossRef
  • Hepatic Steatosis in Patients With Single Ventricle and a Fontan Circulation
    David A. Katz, Daniel Peck, Adam M. Lubert, Mathias Possner, Faizeen Zafar, Andrew T. Trout, Joseph J. Palermo, Nadeem Anwar, Jonathan R. Dillman, Adam W. Powell, Stavra A. Xanthakos, Alexander R. Opotowsky, Gruschen Veldtman, Tarek Alsaied
    Journal of the American Heart Association.2021;[Epub]     CrossRef
  • Superficial vs Deep Subcutaneous Adipose Tissue: Sex-Specific Associations With Hepatic Steatosis and Metabolic Traits
    Tessa Brand, Inge Christina Lamberta van den Munckhof, Marinette van der Graaf, Kiki Schraa, Helena Maria Dekker, Leonardus Antonius Bernardus Joosten, Mihai Gheorghe Netea, Niels Peter Riksen, Jacqueline de Graaf, Joseph Henricus Wilhelmus Rutten
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(10): e3881.     CrossRef
  • Baseline homeostasis model assessment of insulin resistance associated with fibrosis progression in patients with nonalcoholic fatty liver disease without diabetes: A cohort study
    Dae-Jeong Koo, Mi Yeon Lee, Inha Jung, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee, Ming-Lung Yu
    PLOS ONE.2021; 16(8): e0255535.     CrossRef
  • Randomised clinical trial: semaglutide versus placebo reduced liver steatosis but not liver stiffness in subjects with non‐alcoholic fatty liver disease assessed by magnetic resonance imaging
    Anne Flint, Grit Andersen, Paul Hockings, Lars Johansson, Anni Morsing, Mads Sundby Palle, Thomas Vogl, Rohit Loomba, Leona Plum‐Mörschel
    Alimentary Pharmacology & Therapeutics.2021; 54(9): 1150.     CrossRef
  • Effects of IL-33 on 3T3-L1 cells and obese mice models induced by a high-fat diet
    Yue Kai, Jingtao Gao, Hu Liu, Yubing Wang, Chenrui Tian, Sheng Guo, Ling He, Min Li, Zhongwei Tian, Xiangfeng Song
    International Immunopharmacology.2021; 101: 108209.     CrossRef
  • Lipid Accumulation Product as an Index for Visceral Obesity and Cardiovascular Risk among a Sample of Obese Egyptian Women
    Nayera E. Hassan, Sahar A. El-Masry, Gamila S. M. El-Saeed, Mohamed S. El Hussieny
    Open Access Macedonian Journal of Medical Sciences.2021; 9(B): 1229.     CrossRef
  • Combined Effects of Dyslipidemia and High Adiposity on the Estimated Glomerular Filtration Rate in a Middle-Aged Chinese Population
    Xichang Wang, Haoyu Wang, Jiashu Li, Xiaotong Gao, Yutong Han, Weiping Teng, Zhongyan Shan, Yaxin Lai
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 4513.     CrossRef
  • Determination of “indeterminate score” measurements in lean nonalcoholic fatty liver disease patients from western Saudi Arabia
    Yasir Mohammed Khayyat
    World Journal of Hepatology.2021; 13(12): 2150.     CrossRef
  • Utility of Liver Function Tests and Fatty Liver Index to Categorize Metabolic Phenotypes in a Mediterranean Population
    Dariusz Narankiewicz, Josefina Ruiz-Nava, Veronica Buonaiuto, María Isabel Ruiz-Moreno, María Dolores López-Carmona, Luis Miguel Pérez-Belmonte, Ricardo Gómez-Huelgas, María Rosa Bernal-López
    International Journal of Environmental Research and Public Health.2020; 17(10): 3518.     CrossRef
Close layer
Clinical Study
Associations of Perirenal Fat Thickness with Renal and Systemic Calcified Atherosclerosis
Bo Kyung Koo, Julie O. Denenberg, C. Michael Wright, Michael H. Criqui, Matthew A. Allison
Endocrinol Metab. 2020;35(1):122-131.   Published online March 19, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.1.122
  • 8,478 View
  • 118 Download
  • 14 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

We investigated associations between perirenal fat thickness and atherosclerotic calcification in six different vascular beds.

Methods

Using a community-based cohort (n=3,919), perirenal fat thickness was estimated from computed tomography scans. It was classified as Q1 (the lowest quartile) to Q4 (the highest quartile) in each sex. Calcification in the carotid arteries, coronary arteries, thoracic aorta, abdominal aorta, iliac arteries, and renal arteries was evaluated.

Results

Perirenal fat thickness was associated with older age (P<0.01) and a higher prevalence of obesity, hypertension, and dyslipidemia (P<0.01 for all). Perirenal fat thickness was independently associated with renal arterial calcification even after adjustment for age, sex, body mass index, hypertension, dyslipidemia, smoking history, and family history of heart diseases in first-degree relatives (odds ratio [OR] per quartile of perirenal fat thickness, 1.25; 95% confidence interval [CI], 1.09 to 1.44). Compared to Q1, the odds of renal arterial calcification in Q4 was about two times higher (OR, 2.05; 95% CI, 1.29 to 3.25). After adjustment for renal arterial calcification and atherosclerotic risk factors, the only other vascular bed where perirenal fat thickness showed a significant association with calcification was the abdominal aorta (OR, 1.11; 95% CI, 1.00 to 1.23; P=0.045).

Conclusion

Perirenal fat thickness was independently associated with vascular calcification in the renal artery and abdominal aorta.

Citations

Citations to this article as recorded by  
  • The association of perirenal adipose tissue accumulation with left ventricular hypertrophy and the mediating role of insulin resistance: a cross-sectional study involving 1112 individuals with type 2 diabetes mellitus
    Wei Wang, Yang Chen, Xiu Ping Qiu, Xiu Li Guo
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Perirenal fat differs in patients with chronic kidney disease receiving different vitamin D-based treatments: a preliminary study
    Ana Checa-Ros, Antonella Locascio, Owahabanun-Joshua Okojie, Pablo Abellán-Galiana, Luis D’Marco
    BMC Nephrology.2025;[Epub]     CrossRef
  • Perirenal fat area is a preoperative predictor of hypertension resolution after laparoscopic sleeve gastrectomy: Generalized additive models
    Yue Li, Kai-Yuan Zheng, Zeng-Lin Liu, Tian-Ming Yu, Wen-Jie Zhang, Ming-Wei Zhong, San-Yuan Hu
    World Journal of Gastroenterology.2025;[Epub]     CrossRef
  • The correlation of perirenal fat and atherosclerosis: A systematic review and meta-analysis
    Melika Golmohammadi, Parynaz Parhizgar, Farid Javandoust Gharehbagh, Legha Lotfollahi
    Science Progress.2025;[Epub]     CrossRef
  • Effect of viable and inactivated Lactobacillus rhamnosus GG administration on the prevention of diet-induced obesity in rats: Implication of white and brown adipose tissue and influence of bacterial viability
    Laura Arellano-García, María P. Portillo, J. Alfredo Martínez, Stéphanie Krisa, Iñaki Milton-Laskibar
    The Journal of Nutritional Biochemistry.2025; 144: 109982.     CrossRef
  • Perirenal adipose tissue accumulation mediates the adverse impact of the atherogenic index of plasma on lower extremity peripheral arterial disease
    Xiu Li Guo, Mei Tu, Xiu Ping Qiu, Wei Wang
    Scientific Reports.2025;[Epub]     CrossRef
  • Impact of Liver Transplantation on Adipose Tissue Compartments and Its Association With Metabolic Sequela
    Ramzi Hassouneh, Sean Flynn, Steve Shen, Michael Tseng, Anh Tuan Bui, Jay Pham, Dan Park, Scott Matherly, David Bruno, Seung Lee, Vinay Kumaran, Vaishali Patel, Mark Muthiah, Amit Sharma, Mohammad Shadab Siddiqui
    Transplantation.2024; 108(1): 235.     CrossRef
  • Perirenal fat thickness contributes to the estimated 10-year risk of cardiovascular disease and atherosclerotic cardiovascular disease in type 2 diabetes mellitus
    Wei Wang, Feng Yan Lv, Mei Tu, Xiu Li Guo
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Perirenal fat thickness is an independent predictor for metabolic syndrome in steatotic liver disease
    Jong Wook Choi, Chul-min Lee, Bo-Kyeong Kang, Mimi Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • High perirenal fat thickness predicts a greater risk of recurrence in Chinese patients with unilateral nephrolithiasis
    Haichao Huang, Shi Chen, Wenzhao Zhang, Tao Wang, Peide Bai, Jinchun Xing, Huiqiang Wang, Bin Chen
    Renal Failure.2023;[Epub]     CrossRef
  • Development and validation of a preoperative nomogram for predicting the surgical difficulty of laparoscopic colectomy for right colon cancer: a retrospective analysis
    Ao Yu, Yuekai Li, Haifeng Zhang, Guanbo Hu, Yuetang Zhao, Jinghao Guo, Meng Wei, Wenbin Yu, Zhibo Yan
    International Journal of Surgery.2023; 109(4): 870.     CrossRef
  • Perirenal Adipose Tissue Is Associated With Renal Dysfunction and Abnormal Hemodynamics in Patients With HFpEF
    Eva M. Boorsma, Hidemi Sorimachi, Jozine M. ter Maaten, Dirk J. van Veldhuisen, Kazunori Omote, Naoki Takahashi, Jeffrey M. Testani, Tineke P. Willems, Adriaan A. Voors, Barry A. Borlaug
    JACC: Heart Failure.2023; 11(10): 1463.     CrossRef
  • Renal Compression in Heart Failure
    Eva M. Boorsma, Jozine M. ter Maaten, Adriaan A. Voors, Dirk J. van Veldhuisen
    JACC: Heart Failure.2022; 10(3): 175.     CrossRef
  • The perirenal fat thickness was independently associated with serum uric acid level in patients with type 2 diabetes mellitus
    Yuxian Yang, Yan Ma, Yanan Cheng, Yuechao Xu, Yuan Fang, Jing Ke, Dong Zhao
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Cardiorenal Fat: A Cardiovascular Risk Factor With Implications in Chronic Kidney Disease
    Luis D'Marco, María Jesús Puchades, Nayara Panizo, María Romero-Parra, Lorena Gandía, Elena Giménez-Civera, Elisa Pérez-Bernat, Miguel Gonzalez-Rico, José Luis Gorriz
    Frontiers in Medicine.2021;[Epub]     CrossRef
  • Anti-Obesity Effects of a Prunus persica and Nelumbo nucifera Mixture in Mice Fed a High-Fat Diet
    Jungbin Song, Jiye Kim, Hyo Jin Park, Hocheol Kim
    Nutrients.2020; 12(11): 3392.     CrossRef
Close layer
Association between Body Weight Changes and Menstrual Irregularity: The Korea National Health and Nutrition Examination Survey 2010 to 2012
Kyung Min Ko, Kyungdo Han, Youn Jee Chung, Kun-Ho Yoon, Yong Gyu Park, Seung-Hwan Lee
Endocrinol Metab. 2017;32(2):248-256.   Published online June 23, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.2.248
  • 13,900 View
  • 89 Download
  • 15 Web of Science
  • 17 Crossref
AbstractAbstract PDFPubReader   
Background

Menstrual irregularity is an indicator of endocrine disorders and reproductive health status. It is associated with various diseases and medical conditions, including obesity and underweight. We aimed to assess the association between body weight changes and menstrual irregularity in Korean women.

Methods

A total of 4,621 women 19 to 54 years of age who participated in the 2010 to 2012 Korea National Health and Nutrition Examination Survey were included in this study. Self-reported questionnaires were used to collect medical information assessing menstrual health status and body weight changes. Odds ratios (ORs) and 95% confidence interval (CI) were calculated to evaluate the association between body weight changes and menstrual irregularity.

Results

Significantly higher ORs (95% CI) were observed in the association between menstrual irregularity and both weight loss (OR, 1.74; 95% CI, 1.22 to 2.48) and weight gain (OR, 1.45; 95% CI, 1.13 to 1.86) after adjusting for age, body mass index, current smoking, heavy alcohol drinking, regular exercise, calorie intake, education, income, metabolic syndrome, age of menarche, parity, and stress perception. Of note, significant associations were only observed in subjects with obesity and abdominal obesity, but not in non-obese or non-abdominally obese subjects. U-shaped patterns were demonstrated in both obese and abdominally obese subjects, indicating that greater changes in body weight are associated with higher odds of menstrual irregularity.

Conclusion

We found a U-shaped pattern of association between body weight changes and menstrual irregularity among obese women in the general Korean population. This result indicates that not only proper weight management but also changes in body weight may influence the regulation of the menstrual cycle.

Citations

Citations to this article as recorded by  
  • Prevalence and Risk Factors of Menstrual Disorders in Korean Women
    Ye-Lin Kim, Jun Young Chang, Suejin Kim, Mira Yoon, Jae-Na Ha, Kang Hyun Um, Boeun Lee, Kyoung Sook Jeong
    Healthcare.2025; 13(6): 606.     CrossRef
  • Metabolic hormones are integral regulators of female reproductive health and function
    Faria Athar, Muskan Karmani, Nicole M. Templeman
    Bioscience Reports.2024;[Epub]     CrossRef
  • Lifestyle changes and Nutrition in Polycystic Ovarian Disorder: A Holistic Review
    Archita Tiwari, Arti Verma, Shrishti Mishra, Bharat Mishra
    International Journal of Current Innovations in Advanced Research.2024; : 1.     CrossRef
  • Efficacy Confirmation Test of Black Cumin (Nigella sativa L.) Seeds Extract Using a High-Fat Diet Mouse Model
    Khawaja Muhammad Imran Bashir, Joo Wan Kim, Jong-Kyu Kim, Yoon-Seok Chun, Jae-Suk Choi, Sae-Kwang Ku
    Metabolites.2023; 13(4): 501.     CrossRef
  • Body mass index, menstruation, acne, and hirsutism of polycystic ovary syndrome in women: A cross-sectional study
    Jung-Hee Kim, Oksoo Kim, Heeja Jung, Yanghee Pang, Hyunju Dan
    Health Care for Women International.2022; 43(1-3): 85.     CrossRef
  • A cross-sectional study on prevalence of menstrual problems, lifestyle, mental health, and PCOS awareness among rural and urban population of Punjab, India
    Priya Sharma, Mandeep Kaur, Sachin Kumar, Preeti Khetarpal
    Journal of Psychosomatic Obstetrics & Gynecology.2022; 43(3): 349.     CrossRef
  • The global pandemic and changes in women’s reproductive health: an observational study
    Liya Haile, Niels van de Roemer, Kristina Gemzell-Danielsson, Josep Perelló Capó, Iñaki Lete Lasa, Silvia Vannuccini, Martin C. Koch, Thomas Hildebrandt, Joaquim Calaf
    The European Journal of Contraception & Reproductive Health Care.2022; 27(2): 102.     CrossRef
  • A STUDY TO ESTABLISH RELATIONSHIP BETWEEN VARIOUS FACTORS WITH MENSTRUAL IRREGULARITY AMONG RURAL WOMEN IN BHOPAL DISTRICT, MADHYA PRADESH
    Shweta Singh, Avadhesh Diwakar
    INDIAN JOURNAL OF APPLIED RESEARCH.2022; : 5.     CrossRef
  • The effects of obesity on the menstrual cycle
    Khalida Itriyeva
    Current Problems in Pediatric and Adolescent Health Care.2022; 52(8): 101241.     CrossRef
  • The association between obesity and weight loss after bariatric surgery on the vaginal microbiota
    Olivia Raglan, David A. MacIntyre, Anita Mitra, Yun S. Lee, Ann Smith, Nada Assi, Jaya Nautiyal, Sanjay Purkayastha, Marc J. Gunter, Hani Gabra, Julian R. Marchesi, Phillip R. Bennett, Maria Kyrgiou
    Microbiome.2021;[Epub]     CrossRef
  • Do women with HIV/AIDS on anti-retroviral therapy have a lower incidence of symptoms associated with menstrual dysfunction?
    Nicola Tempest, Damitha N Edirisinghe, Steven Lane, Dharani K Hapangama
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2021; 265: 137.     CrossRef
  • Influence of overweight and obesity on the development of reproductive disorders in women
    O.S. Payenok
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2021; 17(7): 575.     CrossRef
  • Quality of Life of Pharmacy Students with Polycystic Ovarian Syndrome in South India: A Cross-Sectional Study

    Makara Journal of Health Research.2021;[Epub]     CrossRef
  • Diabetes: a metabolic and reproductive disorder in women
    Eleanor P Thong, Ethel Codner, Joop S E Laven, Helena Teede
    The Lancet Diabetes & Endocrinology.2020; 8(2): 134.     CrossRef
  • Menstrual Cycle Length in Women Ages 20-30 years in Makassar
    Andi Asmawati Azis, N Kurnia, Hartati, Andi Bida Purnamasari
    Journal of Physics: Conference Series.2018; 1028: 012019.     CrossRef
  • Body Weight Changes in Obese Women and Menstruation
    Jung Hee Kim
    Endocrinology and Metabolism.2017; 32(2): 219.     CrossRef
  • Nutritional Counseling Promotes Changes in the Dietary Habits of Overweight and Obese Adolescents with Polycystic Ovary Syndrome
    Adriana Lúcia Carolo, Maria Célia Mendes, Ana Carolina Japur de Sá Rosa e Silva, Carolina Sales Vieira, Marcos Felipe Silva de Sá, Rui Alberto Ferriani, Rosana Maria dos Reis
    Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics.2017; 39(12): 692.     CrossRef
Close layer
Review Article
Bone Metabolism
Dual-Energy X-Ray Absorptiometry: Beyond Bone Mineral Density Determination
Yong Jun Choi
Endocrinol Metab. 2016;31(1):25-30.   Published online March 16, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.1.25
  • 7,368 View
  • 89 Download
  • 37 Web of Science
  • 32 Crossref
AbstractAbstract PDFPubReader   

Significant improvements in dual-energy X-ray absorptiometry (DXA) concerning quality, image resolution and image acquisition time have allowed the development of various functions. DXA can evaluate bone quality by indirect analysis of micro- and macro-architecture of the bone, which and improve the prediction of fracture risk. DXA can also detect existing fractures, such as vertebral fractures or atypical femur fractures, without additional radiologic imaging and radiation exposure. Moreover, it can assess the metabolic status by the measurement of body composition parameters like muscle mass and visceral fat. Although more studies are required to validate and clinically use these parameters, it is clear that DXA is not just for bone mineral densitometry.

Citations

Citations to this article as recorded by  
  • Implications of Vitamin D Status for Children’s Bone Health: A Data Mining Analyses of Observational Studies
    Mariana Leonel Martins, Beatriz Fernandes Arrepia, Lucas Jural, José Vicente-Gomila, Daniele Masterson, Lucianne Cople Maia, Maria Augusta Visconti, Andréa Fonseca-Gonçalves
    Pesquisa Brasileira em Odontopediatria e Clínica Integrada.2024;[Epub]     CrossRef
  • Intrarater and Interrater Reliability of Quantitative Ultrasound Speed of Sound by Trained Raters at the Distal Radius in Postmenopausal Women
    Cynthia J. Watson, Matthew J. de Ruig, Kent T. Saunders
    Journal of Geriatric Physical Therapy.2024; 47(4): E159.     CrossRef
  • Seated push-up tests: Reliable and valid measures for older individuals when used by primary healthcare providers
    Pakwipa Chokphukiao, Puttipong Poncumhak, Thiwabhorn Thaweewannakij, Roongnapa Intaruk, Sugalya Amatachaya
    Journal of Back and Musculoskeletal Rehabilitation.2023; 36(4): 871.     CrossRef
  • The mandibular bone structure in children by fractal dimension and its correlation with pixel intensity values: a pilot study
    Beatriz Fernandes Arrepia, Thaiza Gonçalves Rocha, Annie Seabra Medeiros, Matheus Diniz Ferreira, Andrea Fonseca-Gonçalves, Maria Augusta Visconti
    Oral Radiology.2023; 39(4): 771.     CrossRef
  • Phase Angle, Inflammation, and Sarcopenia in Late Postoperative Roux-En-Y Gastric Bypass
    Gisele Florêncio, Aglécio Souza, Elinton Chaim, Allan Santos, Louise Duran, Camila Carvalho, Sarah Monte Alegre
    Journal of Clinical Medicine.2023; 12(15): 5124.     CrossRef
  • Obesity history, physical exam, laboratory, body composition, and energy expenditure: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022
    Karlijn Burridge, Sandra M. Christensen, Angela Golden, Amy B. Ingersoll, Justin Tondt, Harold E. Bays
    Obesity Pillars.2022; 1: 100007.     CrossRef
  • Body Composition as a Modulator of Bone Health Changes in Patients with Inflammatory Bowel Disease
    Iulia Soare, Anca Sirbu, Miruna Popa, Sorina Martin, Cristian George Tieranu, Bogdan Mateescu, Mircea Diculescu, Carmen Barbu, Simona Fica
    Life.2022; 12(2): 272.     CrossRef
  • Deep learning for screening primary osteopenia and osteoporosis using spine radiographs and patient clinical covariates in a Chinese population
    Liting Mao, Ziqiang Xia, Liang Pan, Jun Chen, Xian Liu, Zhiqiang Li, Zhaoxian Yan, Gengbin Lin, Huisen Wen, Bo Liu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Validity and feasibility of using a seated push-up test among community-dwelling older adults
    Puttipong Poncumhak, Supaporn Phadungkit, Pakwipa Chokphukiao, Roongnapa Intaruk, Pipatana Amatachaya, Sugalya Amatachaya
    Hong Kong Physiotherapy Journal.2022; 42(02): 125.     CrossRef
  • Calcium status assessment at the population level: Candidate approaches and challenges
    Ziaul H. Rana, Megan W. Bourassa, Filomena Gomes, Anuradha Khadilkar, Rubina Mandlik, Victor Owino, John M. Pettifor, Daniel E. Roth, Julie Shlisky, Prashanth Thankachan, Connie M. Weaver
    Annals of the New York Academy of Sciences.2022; 1517(1): 93.     CrossRef
  • Does the Severity of Obesity Influence Bone Mineral Density Values in Premenopausal Women?
    Emneh Hammoud, Hechmi Toumi, Christophe Jacob, Antonio Pinti, Eric Lespessailles, Rawad El Hage
    Journal of Clinical Densitometry.2021; 24(2): 225.     CrossRef
  • Uremic Sarcopenia and Its Possible Nutritional Approach
    Annalisa Noce, Giulia Marrone, Eleonora Ottaviani, Cristina Guerriero, Francesca Di Daniele, Anna Pietroboni Zaitseva, Nicola Di Daniele
    Nutrients.2021; 13(1): 147.     CrossRef
  • Effect of Tissue-Selective Estrogen Complex on Hip Structural Geometry in Postmenopausal Women: A 12-Month Study
    Bo Mi Kim, Sung Eun Kim, Dong-Yun Lee, DooSeok Choi
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • A Core Omnigenic Non-coding Trait Governing Dex-Induced Osteoporotic Effects Identified Without DEXA
    Li Lu, Yanzhen Cai, Xiaoling Luo, Zhangting Wang, Sin Hang Fung, Huanhuan Jia, Chi Lam Yu, Wai Yee Chan, Kai Kei Miu, Wende Xiao
    Frontiers in Pharmacology.2021;[Epub]     CrossRef
  • Association between rs12742784 polymorphism and hip fracture, bone mineral density, and EPHB2 mRNA expression levels in elderly Chinese women
    Z. Ruan, Y. Zhu, Z. Lin, H. Long, R. Zhao, B. Sun, L. Cheng, S. Zhao
    Climacteric.2020; 23(1): 93.     CrossRef
  • The Performance of a Calcaneal Quantitative Ultrasound Device, CM-200, in Stratifying Osteoporosis Risk among Malaysian Population Aged 40 Years and Above
    Shaanthana Subramaniam, Chin-Yi Chan, Ima Nirwana Soelaiman, Norazlina Mohamed, Norliza Muhammad, Fairus Ahmad, Pei-Yuen Ng, Nor Aini Jamil, Noorazah Abd Aziz, Kok-Yong Chin
    Diagnostics.2020; 10(4): 178.     CrossRef
  • Influence of sarcopenia on bone health parameters in a group of eumenorrheic obese premenopausal women
    Emneh Hammoud, Hechmi Toumi, Christophe Jacob, Antonio Pinti, Eric Lespessailles, Rawad El Hage
    Journal of Bone and Mineral Metabolism.2020; 38(3): 385.     CrossRef
  • Sex differences in disease activity and efficacy of treatment in spondyloarthritis: is body composition the cause?
    Sebastián Ibáñez Vodnizza, Irene van der Horst-Bruinsma
    Current Opinion in Rheumatology.2020; 32(4): 337.     CrossRef
  • The Effect of Self-Reported Lactose Intolerance and Dairy Consumption on Bone Mineral Density among American Hip Arthroplasty Patients: A Cross-Sectional Study
    Nikola K. Hamilton, Omorogieva Ojo, Amanda Rodrigues Amorim Adegboye
    International Journal of Environmental Research and Public Health.2020; 17(19): 7182.     CrossRef
  • A Prospective, Controlled, Multicenter Study to Evaluate the Clinical Outcome of Implant Treatment in Women with Osteoporosis/Osteopenia: 5-Year Results
    A. Temmerman, L. Rasmusson, A. Kübler, A. Thor, J. Merheb, M. Quirynen
    Journal of Dental Research.2019; 98(1): 84.     CrossRef
  • Assessment of BMD and Statistical Analysis for Osteoporosis Detection
    S. M. Nazia Fathima, R. Tamil Selvi, M. Parisa Beham
    Biomedical and Pharmacology Journal.2019; 12(04): 1907.     CrossRef
  • The association between CD31hiEmcnhi endothelial cells and bone mineral density in Chinese women
    Yong Zhu, Zhe Ruan, Zhangyuan Lin, Haitao Long, Ruibo Zhao, Buhua Sun, Liang Cheng, Lanhua Tang, Zhuying Xia, Changjun Li, Shushan Zhao
    Journal of Bone and Mineral Metabolism.2019; 37(6): 987.     CrossRef
  • Body composition in patients with chronic obstructive pulmonary disease
    E. V. Bolotova, A. V. Dudnikova, V. V. Yavlyanskaya
    Russian Pulmonology.2018; 28(4): 453.     CrossRef
  • Fat Mass Lowers the Response to Tumor Necrosis Factor-α Blockers in Patients with Ankylosing Spondylitis
    Sebastián E. Ibáñez Vodnizza, Michael T. Nurmohamed, Ingrid M. Visman, J. Christiaan van Denderen, Willem F. Lems, Francisca Jaime, Irene E. van der Horst–Bruinsma
    The Journal of Rheumatology.2017; 44(9): 1355.     CrossRef
  • Articles inEndocrinology and Metabolismin 2016
    Won-Young Lee
    Endocrinology and Metabolism.2017; 32(1): 62.     CrossRef
  • Muscle wasting in male TNF-α blocker naïve ankylosing spondylitis patients: a comparison of gender differences in body composition
    Sebastián Ibáñez Vodnizza, Ingrid M. Visman, Christiaan van Denderen, Willem F. Lems, Francisca Jaime, Michael T. Nurmohamed, Irene E. van der Horst-Bruinsma
    Rheumatology.2017; 56(9): 1566.     CrossRef
  • Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons
    Giuseppe Sergi, Marina De Rui, Brendon Stubbs, Nicola Veronese, Enzo Manzato
    Aging Clinical and Experimental Research.2017; 29(4): 591.     CrossRef
  • Comparisons of TBS and lumbar spine BMD in the associations with vertebral fractures according to the T-scores: A cross-sectional observation
    Jie-Eun Lee, Kyoung Min Kim, Lee-Kyung Kim, Kyong Young Kim, Tae Jung Oh, Jae Hoon Moon, Sung Hee Choi, Soo Lim, Sang Wan Kim, Chan Soo Shin, Hak Chul Jang
    Bone.2017; 105: 269.     CrossRef
  • The Influence of Tribological Pairings and Other Factors on Migration Patterns of Short Stems in Total Hip Arthroplasty
    Thilo Floerkemeier, Michael Schwarze, Christof Hurschler, Jens Gronewold, Henning Windhagen, Gabriela von Lewinski, Stefan Budde
    BioMed Research International.2017; 2017: 1.     CrossRef
  • Associations Between Fat Mass and Multisite Pain: A Five‐Year Longitudinal Study
    Feng Pan, Laura Laslett, Leigh Blizzard, Flavia Cicuttini, Tania Winzenberg, Changhai Ding, Graeme Jones
    Arthritis Care & Research.2017; 69(4): 509.     CrossRef
  • Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study
    George Ioannidis, Micaela Jantzi, Jenn Bucek, Jonathan D Adachi, Lora Giangregorio, John Hirdes, Laura Pickard, Alexandra Papaioannou
    BMJ Open.2017; 7(9): e016477.     CrossRef
  • Serum CX3CL1/fractalkine concentrations are positively associated with disease severity in postmenopausal osteoporotic patients
    Yi-Ding Chen, Ci-You Huang, Hai-Ying Liu, Wei-Feng Yao, Wei-guo Wu, Yu-Lian Lu, Wen Wang
    British Journal of Biomedical Science.2016; 73(3): 121.     CrossRef
Close layer
Original Article
Obesity and Metabolism
Sugar-Sweetened Beverage Consumption Is Associated with Metabolic Syndrome in Iranian Adults: Tehran Lipid and Glucose Study
Hanieh-Sadat Ejtahed, Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi
Endocrinol Metab. 2015;30(3):334-342.   Published online May 18, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.3.334
  • 5,773 View
  • 37 Download
  • 23 Web of Science
  • 25 Crossref
AbstractAbstract PDFPubReader   
Background

Metabolic syndrome (MetS), a cluster of multiple metabolic abnormalities, is one of the major public health challenges worldwide. The current study was conducted to evaluate the association between sugar-sweetened beverage (SSB) consumption and MetS and its components in Iranian adults.

Methods

This cross-sectional study was conducted among 5,852 men and women, aged 19 to 70 years, who participated in the fourth phase (2009 to 2011) of the Tehran Lipid and Glucose Study. Demographics, anthropometrics, biochemical measurements, and blood pressure (BP) were assessed and MetS was defined by National Cholesterol Education Program Adult Treatment Panel III definition. Frequency and quantity of SSB intakes including carbonated drinks and synthetic fruit juices were collected using a validated semiquantitative food frequency questionnaire.

Results

Mean age of participants (43%, men) was 40.6±12.9 years. Significant positive associations between SSBs and waist circumference, triglyceride level, systolic and diastolic BP in the third and fourth quartile of SSBs were observed, after adjustment for all potential confounding variables. The odds of MetS in the third and fourth quartiles compared to the first quartile category of SSBs was 1.21 (95% confidence interval [CI], 1.01 to 1.45) and 1.30 (95% CI, 1.06 to 1.58), respectively (P for trend=0.03). The odds of MetS, abdominal obesity, low high density lipoprotein cholesterol and elevated BP had increasing trends across increasing of SSB consumption (P for trend <0.05).

Conclusion

Higher intake of SSBs was associated with the higher odds of MetS in adults. It is suggested that reducing consumption of SSBs could be a practical approach to prevent metabolic abnormalities.

Citations

Citations to this article as recorded by  
  • The association between Sugars Sweetened Beverages and glycemic profile among children and youth: A systematic review and dose-response meta-analysis
    Mahdieh Abbasalizad Farhangi, Zeinab Nikniaz, Seyedeh-Tarlan Mirzohreh, Leila Nikniaz
    International Journal of Cardiology Cardiovascular Risk and Prevention.2025; : 200453.     CrossRef
  • Exploring the effect of sedentary behavior on increased adiposity in middle-aged adults
    Nayeli Macías, Eric Monterrubio-Flores, Jorge Salmerón, Joacim Meneses-León, Yvonne N. Flores, Alejandra Jáuregui, Deborah Salvo, Umberto Villa, Armando G. Olvera, Katia Gallegos-Carrillo
    BMC Public Health.2024;[Epub]     CrossRef
  • Association between Sugar-Sweetened Beverage Consumption and the Risk of the Metabolic Syndrome: A Systematic Review and Meta-Analysis
    Ainara Muñoz-Cabrejas, Pilar Guallar-Castillón, Martín Laclaustra, Helena Sandoval-Insausti, Belén Moreno-Franco
    Nutrients.2023; 15(2): 430.     CrossRef
  • Relationship between Coffee, Tea, and Carbonated Beverages and Cardiovascular Risk Factors
    Hye-Ji An, Yejin Kim, Young-Gyun Seo
    Nutrients.2023; 15(4): 934.     CrossRef
  • The Association between the Consumption of Sugar-Sweetened Beverages and Metabolic Syndrome Components in Young Rural Adults in South Africa
    Mohlago Ablonia Seloka, Moloko Matshipi, Peter Modupi Mphekgwana, Kotsedi Daniel Monyeki
    Applied Sciences.2022; 12(6): 3015.     CrossRef
  • A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study
    Hanieh-Sadat Ejtahed, Zohreh Mahmoodi, Mostafa Qorbani, Pooneh Angoorani, Mohammad Esmaeil Motlagh, Shirin Hasani-Ranjbar, Hasan Ziaodini, Majzoubeh Taheri, Ramin Heshmat, Roya Kelishadi
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2021; 26(5): 1609.     CrossRef
  • Dietary Intake and Health Status of Elderly Patients With Type 2 Diabetes Mellitus: Cross-sectional Study Using a Mobile App in Primary Care
    Joane Diomara Coleone, Ericles Andrei Bellei, Mateus Klein Roman, Vanessa Ramos Kirsten, Ana Carolina Bertoletti De Marchi
    JMIR Formative Research.2021; 5(8): e27454.     CrossRef
  • Prevalence and incidence of metabolic syndrome in Iran: A systematic review and meta-analysis
    Azad Fatahi, Amin Doosti-Irani, Zahra Cheraghi
    International Journal of Preventive Medicine.2020; 11(1): 64.     CrossRef
  • Sugar-sweetened beverages consumption in relation to hypertension among Iranian university students: the MEPHASOUS study
    Masoume Mansouri, Farshad Sharifi, Hamid Yaghubi, Mehdi Varmaghani, Yousef Moghadas Tabrizi, Morteza Nasiri, Omid Sadeghi
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2020; 25(4): 973.     CrossRef
  • Sugary beverages are associated with cardiovascular risk factors in diabetic patients
    Razieh Anari, Reza Amani, Masoud Veissi
    Journal of Diabetes & Metabolic Disorders.2019; 18(1): 7.     CrossRef
  • Consumo de bebidas açucaradas e fatores associados em adultos
    Danielle Cristina Guimarães da Silva, Wellington Segheto, Fernanda Cristina da Silva Amaral, Nínive de Almeida Reis, Ghéssica Santana Silva Veloso, Milene Cristine Pessoa, Juliana Farias de Novaes, Giana Zarbato Longo
    Ciência & Saúde Coletiva.2019; 24(3): 899.     CrossRef
  • The amounts and contributions of total drinking fluids and water from food to total water intake of young adults in Baoding, China
    Jianfen Zhang, Na Zhang, Shuxin Liang, Yan Wang, Shuzhuo Liu, Shufang Liu, Songming Du, Hairong He, Yifan Xu, Hao Cai, Xiaohui Guo, Lixin Ma, Guansheng Ma
    European Journal of Nutrition.2019; 58(7): 2669.     CrossRef
  • The association of glycemic index and glycemic load with elevated blood pressure in Iranian women
    Seyedeh Forough Sajjadi, Alireza Milajerdi, Leila Azadbakht
    Journal of Cardiovascular and Thoracic Research.2019; 11(4): 272.     CrossRef
  • Utility of waist circumference‐to‐height ratio as a screening tool for generalized and central obesity among Iranian children and adolescents: The CASPIAN‐V study
    Hanieh‐Sadat Ejtahed, Roya Kelishadi, Mostafa Qorbani, Mohammad Esmaeil Motlagh, Shirin Hasani‐Ranjbar, Pooneh Angoorani, Shaghayegh Beshtar, Hasan Ziaodini, Majzoubeh Taheri, Ramin Heshmat
    Pediatric Diabetes.2019;[Epub]     CrossRef
  • Discriminatory ability of visceral adiposity index as an indicator for modeling cardio-metabolic risk factors in pediatric population: the CASPIAN-V study
    Hanieh-Sadat Ejtahed, Roya Kelishadi, Shirin Hasani-Ranjbar, Pooneh Angoorani, Mohammad Esmaeil Motlagh, Gita Shafiee, Hasan Ziaodini, Majzoubeh Taheri, Mostafa Qorbani, Ramin Heshmat
    Journal of Cardiovascular and Thoracic Research.2019; 11(4): 280.     CrossRef
  • The Association between Various Lifestyle Patterns and the Body Mass Index in Adolescents
    Irina-Bianca Kosovski, Dana-Valentina Ghiga, Monica Tarcea, Cristina Nicoleta Ciurea, Ana Ioana Savin, Anca Bacârea
    Acta Medica Marisiensis.2019; 65(3): 111.     CrossRef
  • Sugar-Sweetened Beverages Consumption Positively Associated with the Risks of Obesity and Hypertriglyceridemia Among Children Aged 7–18 Years in South China
    Baoting He, Weiqing Long, Xiuhong Li, Wenhan Yang, Yajun Chen, Yanna Zhu
    Journal of Atherosclerosis and Thrombosis.2018; 25(1): 81.     CrossRef
  • Nutrition and Cardio-Metabolic Risk Factors: 20 Years of the Tehran Lipid and Glucose Study Findings
    Firoozeh Hosseini-Esfahani, Somaye Hosseinipour, Golaleh Asghari, Zahra Bahadoran, Nazanin Moslehi, Mahdieh Golzarand, Hanieh Ejtahed, Parvin Mirmiran, Fereidoun Azizi
    International Journal of Endocrinology and Metabolism.2018;[Epub]     CrossRef
  • Are non-high–density lipoprotein fractions associated with pediatric metabolic syndrome? The CASPIAN-V study
    Pooneh Angoorani, Majid Khademian, Hanieh-Sadat Ejtahed, Ramin Heshmat, Mohammad Esmaeil Motlagh, Mahya Vafaeenia, Gita Shafiee, Armita Mahdivi-Gorabi, Mostafa Qorbani, Roya Kelishadi
    Lipids in Health and Disease.2018;[Epub]     CrossRef
  • Sugar-sweetened beverages consumption is associated with abdominal obesity risk in diabetic patients
    Razieh Anari, Reza Amani, Masoud Veissi
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2017; 11: S675.     CrossRef
  • Prevalence of metabolic syndrome and health-related quality of life in war-related bilateral lower limb amputees
    Hanieh-Sadat Ejtahed, Mohammad-Reza Soroush, Shirin Hasani-Ranjbar, Pooneh Angoorani, Batool Mousavi, Mehdi Masumi, Farhad Edjtehadi, Mahmood Soveid
    Journal of Diabetes & Metabolic Disorders.2017;[Epub]     CrossRef
  • Soft drink intake and the risk of metabolic syndrome: A systematic review and meta-analysis
    Aditya Narain, Chun Shing Kwok, Mamas A. Mamas
    International Journal of Clinical Practice.2017; 71(2): e12927.     CrossRef
  • Long-term consumption of sugar-sweetened beverage during the growth period promotes social aggression in adult mice with proinflammatory responses in the brain
    Jung-Yun Choi, Mi-Na Park, Chong-Su Kim, Young-Kwan Lee, Eun Young Choi, Woo Young Chun, Dong-Mi Shin
    Scientific Reports.2017;[Epub]     CrossRef
  • Frequent Consumption of Sugar- and Artificially Sweetened Beverages and Natural and Bottled Fruit Juices Is Associated with an Increased Risk of Metabolic Syndrome in a Mediterranean Population at High Cardiovascular Disease Risk
    Cíntia Ferreira-Pêgo, Nancy Babio, Maira Bes-Rastrollo, Dolores Corella, Ramon Estruch, Emilio Ros, Montserrat Fitó, Lluís Serra-Majem, Fernando Arós, Miguel Fiol, José Manuel Santos-Lozano, Carlos Muñoz-Bravo, Xavier Pintó, Miguel Ruiz-Canela, Jordi Sala
    The Journal of Nutrition.2016; 146(8): 1528.     CrossRef
  • The effect of interaction between Melanocortin-4 receptor polymorphism and dietary factors on the risk of metabolic syndrome
    Gelareh Koochakpoor, Maryam S. Daneshpour, Parvin Mirmiran, Seyed Ahmad Hosseini, Firoozeh Hosseini-Esfahani, Bahareh Sedaghatikhayat, Fereidoun Azizi
    Nutrition & Metabolism.2016;[Epub]     CrossRef
Close layer
Review Article
Obesity and Metabolism
Optimal Waist Circumference Cutoff Values for the Diagnosis of Abdominal Obesity in Korean Adults
Yeong Sook Yoon, Sang Woo Oh
Endocrinol Metab. 2014;29(4):418-426.   Published online December 29, 2014
DOI: https://doi.org/10.3803/EnM.2014.29.4.418
  • 10,566 View
  • 76 Download
  • 74 Web of Science
  • 80 Crossref
AbstractAbstract PDFPubReader   

Abdominal obesity is associated closely with insulin resistance, diabetes, and cardiovascular disease. Waist circumference (WC) is a useful surrogate marker commonly used for abdominal adiposity. The determination of WC cutoff levels is important in the prevention and treatment of obesity, type 2 diabetes, and related cardiovascular diseases. Recent epidemiological evidence suggested that appropriate optimal cutoffs for Koreans ranged over 80 to 89.8 cm in males and 76.1 to 86.5 cm in females. We analyzed the data from two large cohorts using receiver operating characteristic curve analysis with the incidences of diabetes, hypertension, dyslipidemia, cerebrovascular disease, myocardial infarct, angina, coronary artery disease, and multiple metabolic risk factors as outcome variables. Optimal WC cutoff points for Koreans were 85 cm in males and 80 cm in females. However, considering the prevalence of abdominal obesity and the health costs for its prevention and management, 90 cm in males and 85 cm in females are probably more appropriate thresholds for abdominal obesity. These values may be modified once better research is performed through prospective studies using representative populations, common health outcomes, and proper analytical approaches.

Citations

Citations to this article as recorded by  
  • Smoking Experience before Adulthood Is Associated with an Increased Risk of Developing Ulcerative Colitis in Adult Ex-Smokers
    Yu Kyung Jun, Bongseong Kim, Yonghoon Choi, Cheol Min Shin, Young Soo Park, Nayoung Kim, Dong Ho Lee, Kyungdo Han, Hyuk Yoon
    Yonsei Medical Journal.2025; 66(1): 9.     CrossRef
  • Sex differences in the relationship between short sleep duration and obesity among koreans
    Youngmee Kim, Ye-Jee Kim, Seonok Kim, Won-Kyung Cho
    Scientific Reports.2025;[Epub]     CrossRef
  • Body-Weight Fluctuations and the Association Between the Consumption of Protein-Rich Foods and the Incidence of Metabolic Syndrome Among Middle-Aged Women in Korea
    Hyejin Chun, Jung-Heun Ha, Jongchul Oh, Miae Doo
    Healthcare.2025; 13(7): 709.     CrossRef
  • Ultrasound and high frequency equipment efficacy for abdominal obesity reduction in women
    Yeo Ju Sohn, Hyejin Chun
    Scientific Reports.2025;[Epub]     CrossRef
  • The prevalence and factors associated with sarcopenia in Thai older adults: A systematic review and meta-analysis
    Phatcharaphon Whaikid, Noppawan Piaseu
    International Journal of Nursing Sciences.2024; 11(1): 31.     CrossRef
  • Machine learning analysis for the association between breast feeding and metabolic syndrome in women
    Jue Seong Lee, Eun-Saem Choi, Hwasun Lee, Serhim Son, Kwang-Sig Lee, Ki Hoon Ahn
    Scientific Reports.2024;[Epub]     CrossRef
  • Association between waist circumference change after smoking cessation and incidence of hypertension in Korean adults
    H.J. Lee, J.W. Choi
    Public Health.2024; 229: 73.     CrossRef
  • Surrogate indices of insulin resistance using the Matsuda index as reference in adult men—a computational approach
    Víctor Antonio Malagón-Soriano, Andres Julian Ledezma-Forero, Cristian Felipe Espinel-Pachon, Álvaro Javier Burgos-Cárdenas, Maria Fernanda Garces, Gustavo Eduardo Ortega-Ramírez, Roberto Franco-Vega, Jhon Jairo Peralta-Franco, Luis Miguel Maldonado-Acost
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The positive impact of smoking cessation on fracture risk in a nationwide cohort study
    Jin-Sung Park, Kyung-Chung Kang, Se-Jun Park, Jeong-Keun Kim, Kyungdo Han, Jae-Young Hong
    Scientific Reports.2024;[Epub]     CrossRef
  • Relationship between perception of body image on obesity and smoking status by age group in women: Findings of a seven-year Korean National Survey
    Hye Jung Hwang+, Youngmee Kim+, Won-Kyung Cho
    Tobacco Induced Diseases.2024; 22(October): 1.     CrossRef
  • Association between waist circumference or weight change after smoking cessation and incidence of cardiovascular disease or all-cause death in Korean adults with type 2 diabetes
    Heajung Lee, Jaeyong Shin, Jae Woo Choi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Risk factors for metabolic syndrome in the premetabolic state assessed using hierarchical clustering study in a health screening group
    Se-Jun PARK, Yu Na Kim, Byeong Kil Oh, Jeonggyu Kang
    Scientific Reports.2024;[Epub]     CrossRef
  • Effects of Sleep Duration on Prevalence of Metabolic Syndrome and Metabolic Syndrome Components in Korean Adults
    Jiyoung PARK, Byung-sun CHOI
    Korean Journal of Health Promotion.2024; 24(4): 167.     CrossRef
  • Waist circumference and end‐stage renal disease based on glycaemic status: National Health Insurance Service data 2009–2018
    Yun Kyung Cho, Ji Hye Huh, Shinje Moon, Yoon Jung Kim, Yang‐Hyun Kim, Kyung‐do Han, Jun Goo Kang, Seong Jin Lee, Sung‐Hee Ihm
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 585.     CrossRef
  • Simple anthropometric measures to predict visceral adipose tissue area in middle-aged Indonesian men
    Sahat Basana Romanti Ezer Matondang, Bennadi Adiandrian, Komang Shary Karismaputri, Cicilia Marcella, Joedo Prihartono, Dicky Levenus Tahapary, Yosuke Yamada
    PLOS ONE.2023; 18(1): e0280033.     CrossRef
  • Sleep Quality in Women with Premenstrual Syndrome Is Associated with Metabolic Syndrome-Related Variables
    Hyejin Chun, Miae Doo
    Healthcare.2023; 11(10): 1492.     CrossRef
  • Gender, Age and Clinical Characteristics of Older Adults with High-Risk of Obstructive Sleep Apnea Assessed by the STOP-Bang Questionnaire
    Gyu Lee Kim, Yun Jin Kim, Jeong Gyu Lee, Yu Hyeon Yi, Young Jin Tak, Seung Hun Lee, Young Jin Ra, Sang Yeoup Lee, Young Hye Cho, Eun Ju Park, Youngin Lee, Jung In Choi, Sae Rom Lee, Ryuk Jun Kwon, Soo Min Son
    Korean Journal of Clinical Geriatrics.2023; 24(2): 72.     CrossRef
  • Body Composition and Cardiovascular Risk: A Study of Polish Military Flying Personnel
    Agata Gaździńska, Stefan Gaździński, Paweł Jagielski, Paweł Kler
    Metabolites.2023; 13(10): 1102.     CrossRef
  • Associated Factors with Changes of Metabolic Abnormalities among General Population in COVID-19 Pandemic
    Eunjoo Kwon, Eun-Hee Nah, Suyoung Kim, Seon Cho, Hyeran Park
    Korean Journal of Health Promotion.2023; 23(2): 55.     CrossRef
  • Effects of Pharmacoacupuncture for Obesity: A Systematic Review and Meta-Analysis
    Seyun Kim, Mi-Yeon Song, Won-Seok Chung, Hyungsuk Kim, Woo-Chul Shin, Junhyuk Kang, Joonwon Seo, Sangwoo Seo, Seung Ho Yu, Jung-Hyun Lim, Su-Hwan Ji, Jae-Heung Cho
    Journal of Korean Medicine for Obesity Research.2023; 23(2): 112.     CrossRef
  • Associations Between Elevated Growth Differentiation Factor-15 and Sarcopenia Among Community-dwelling Older Adults
    Miji Kim, Jeremy D Walston, Chang Won Won, Anne B Newman
    The Journals of Gerontology: Series A.2022; 77(4): 770.     CrossRef
  • The association of obesity with thyroid carcinoma risk
    Xiao‐Ni Ma, Cheng‐Xu Ma, Li‐Jie Hou, Song‐Bo Fu
    Cancer Medicine.2022; 11(4): 1136.     CrossRef
  • A Longitudinal Retrospective Observational Study on Obesity Indicators and the Risk of Impaired Fasting Glucose in Pre- and Postmenopausal Women
    Myung Ji Nam, Hyunjin Kim, Yeon Joo Choi, Kyung-Hwan Cho, Seon Mee Kim, Yong-Kyun Roh, Kyungdo Han, Jin-Hyung Jung, Yong-Gyu Park, Joo-Hyun Park, Do-Hoon Kim
    Journal of Clinical Medicine.2022; 11(10): 2795.     CrossRef
  • Association of Metabolic Health and Central Obesity with the Risk of Thyroid Cancer: Data from the Korean Genome and Epidemiology Study
    Dung N. Nguyen, Jin Hee Kim, Mi Kyung Kim
    Cancer Epidemiology, Biomarkers & Prevention.2022; 31(3): 543.     CrossRef
  • Interaction of polygenic variants specific for abdominal obesity risk with energy metabolism in large Korean cohorts
    Sunmin Park
    Nutrition Bulletin.2022; 47(3): 307.     CrossRef
  • Effects of Oral Health Behavior and Mental Health on Metabolic Syndrome in Korean Adults
    Jin-Ah Jung, Hye-Won Cheon, Sang-Eun Moon, Sun-Hwa Hong
    Journal of Dental Hygiene Science.2022; 22(2): 90.     CrossRef
  • Relation of Dietary n-3 and n-6 Fatty Acid Intakes to Metabolic Syndrome in Middle-Aged People Depending on the Level of HbA1c: A Review of National Health and Nutrition Survey Data from 2014 to 2016
    Seo-Woo Park, Do-Yeong Kim, Gyeong-Tae Bak, Dae-Sung Hyun, Sung-Kyung Kim
    Medicina.2022; 58(8): 1017.     CrossRef
  • Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
    Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
    Diabetes & Metabolism Journal.2022; 46(5): 756.     CrossRef
  • Risk of Carotid Atherosclerosis in Subjects with Prediabetes Overlapping Metabolic Syndrome
    Seol A Jang, Kyoung Min Kim, Seok Won Park, Chul Sik Kim
    Metabolic Syndrome and Related Disorders.2022; 20(10): 599.     CrossRef
  • Association of high body mass index, waist circumference, and body fat percentage with sarcopenia in older women
    Myung Chul Yoo, Chang Won Won, Yunsoo Soh
    BMC Geriatrics.2022;[Epub]     CrossRef
  • Relationship between low skeletal muscle mass, sarcopenic obesity and left ventricular diastolic dysfunction in Korean adults
    Jee Hee Yoo, Sung Woon Park, Ji Eun Jun, Sang‐Man Jin, Kyu Yeon Hur, Moon‐Kyu Lee, Mira Kang, Gyuri Kim, Jae Hyeon Kim
    Diabetes/Metabolism Research and Reviews.2021;[Epub]     CrossRef
  • Association of Early-Life Mental Health With Biomarkers in Midlife and Premature Mortality
    George B. Ploubidis, G. David Batty, Praveetha Patalay, David Bann, Alissa Goodman
    JAMA Psychiatry.2021; 78(1): 38.     CrossRef
  • A clinical evaluation of noninvasive and contactless radiofrequency technique in the treatment of abdominal fat
    Jie Qin, Meng‐er Guo, Xue‐gang Xu, Chao Zhang, Cheng‐qian Yu, Yuan‐hong Li, Hong‐duo Chen
    Journal of Cosmetic Dermatology.2021; 20(9): 2765.     CrossRef
  • Exercise training and burdock root (Arctium lappa L.) extract independently improve abdominal obesity and sex hormones in elderly women with metabolic syndrome
    Min-Seong Ha, Jang Soo Yook, Minchul Lee, Kazuya Suwabe, Woo-Min Jeong, Jae-Jun Kwak, Hideaki Soya
    Scientific Reports.2021;[Epub]     CrossRef
  • Effect of body mass index and abdominal obesity on mortality after percutaneous coronary intervention: a nationwide, population-based study
    Woo-Hyuk Song, Eun Hui Bae, Jeong Cheon Ahn, Tae Ryom Oh, Yong-Hyun Kim, Jin Seok Kim, Sun-Won Kim, Soo Wan Kim, Kyung-Do Han, Sang-Yup Lim
    The Korean Journal of Internal Medicine.2021; 36(Suppl 1): S90.     CrossRef
  • Individual and Synergistic Relationships of Low Muscle Mass and Low Muscle Function with Depressive Symptoms in Korean Older Adults
    Youngyun Jin, Seamon Kang, Hyunsik Kang
    International Journal of Environmental Research and Public Health.2021; 18(19): 10129.     CrossRef
  • Association between Metabolic Syndrome and the Number of Remaining Teeth in Postmenopausal Women: A Cross-Sectional Analysis Using the Korean National Health and Nutritional Examination Survey
    Jeong-In Kim, Choong-Ho Choi, Ki-Ho Chung
    Journal of Clinical Medicine.2021; 10(20): 4759.     CrossRef
  • No Association between Metabolic Syndrome and Periodontitis in Korean Postmenopausal Women
    Jeong-In Kim, Choong-Ho Choi, Ki-Ho Chung
    International Journal of Environmental Research and Public Health.2021; 18(21): 11110.     CrossRef
  • Relative Lean Body Mass and Waist Circumference for the Identification of Metabolic Syndrome in the Korean General Population
    Eunjoo Kwon, Eun-Hee Nah, Suyoung Kim, Seon Cho
    International Journal of Environmental Research and Public Health.2021; 18(24): 13186.     CrossRef
  • SVM-based waist circumference estimation using Kinect
    Dasom Seo, Euncheol Kang, Yu-mi Kim, Sun-Young Kim, Il-Seok Oh, Min-Gul Kim
    Computer Methods and Programs in Biomedicine.2020; 191: 105418.     CrossRef
  • Effects of abdominal obesity on the association between air pollution and kidney function
    Su-Min Jeong, Jin-Ho Park, Hyun-Jin Kim, Hyuktae Kwon, Seo Eun Hwang
    International Journal of Obesity.2020; 44(7): 1568.     CrossRef
  • Effect of sarcopenic obesity on deterioration of physical function in the elderly
    Hyun Ho Kong, Chang Won Won, Won Kim
    Archives of Gerontology and Geriatrics.2020; 89: 104065.     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
  • A Novel Indicator of Children’s Lipid Accumulation Product Associated with Impaired Fasting Glucose in Chinese Children and Adolescents


    Yongting Yuan, Hong Xie, Lili Sun, Bangxuan Wang, Li Zhang, Hui Han, Rongying Yao, Yehuan Sun, Lianguo Fu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 1653.     CrossRef
  • The Association between the Ratio of Energy Intake to Basal Metabolic Rate and Physical Activity to Sarcopenia: Using the Korea National Health and Nutrition Examination Surveys (2008–2011)
    Yu Jin Cho, Mi Hee Cho, Bomi Han, Minji Park, Seolah Bak, Minseon Park
    Korean Journal of Family Medicine.2020; 41(3): 167.     CrossRef
  • Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity
    Robert Ross, Ian J. Neeland, Shizuya Yamashita, Iris Shai, Jaap Seidell, Paolo Magni, Raul D. Santos, Benoit Arsenault, Ada Cuevas, Frank B. Hu, Bruce A. Griffin, Alberto Zambon, Philip Barter, Jean-Charles Fruchart, Robert H. Eckel, Yuji Matsuzawa, Jean-
    Nature Reviews Endocrinology.2020; 16(3): 177.     CrossRef
  • Lung function as a predictor of incident type 2 diabetes in community-dwelling adults: A longitudinal finding over 12 years from the Korean Genome and Epidemiology Study
    J.H. Lee, H.S. Lee, Y.J. Lee
    Diabetes & Metabolism.2020; 46(5): 392.     CrossRef
  • Sex- and age-specific effects of energy intake and physical activity on sarcopenia
    Yu Jin Cho, Youn-Hee Lim, Jae Moon Yun, Hyung-Jin Yoon, Minseon Park
    Scientific Reports.2020;[Epub]     CrossRef
  • Protective effect of smoking cessation on subsequent myocardial infarction and ischemic stroke independent of weight gain: A nationwide cohort study
    Jung-Hwan Cho, Hye-Mi Kwon, Se-Eun Park, Jin-Hyung Jung, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Eun-Jung Rhee, Won-Young Lee, Michael Cummings
    PLOS ONE.2020; 15(7): e0235276.     CrossRef
  • Optimal Cutoff Values for Anthropometric Adiposity Measures of Sri Lankan Adult Women
    Nirmala Rathnayake, Gayani Alwis, Janaka Lenora, Sarath Lekamwasam
    Journal of Obesity.2020; 2020: 1.     CrossRef
  • Differences in the Association Among the Vitamin D Concentration, Dietary Macronutrient Consumption, and Metabolic Syndrome Depending on Pre- and Postmenopausal Status in Korean Women: A Cross-Sectional Study


    Hyejin Chun, Gi Dae Kim, Miae Doo
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3601.     CrossRef
  • Patterns of change in cardiovascular risks of Korean male workers: a 10-year cohort analysis using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) 2.0 database
    Hosihn Ryu, Jiyeon Jung, Jihyun Moon
    BMJ Open.2020; 10(11): e038446.     CrossRef
  • Predictive Performance of Glycated Hemoglobin for Incident Diabetes Compared with Glucose Tolerance Test According to Central Obesity
    Suji Yoo, Jaehoon Jung, Hosu Kim, Kyoung Young Kim, Soo Kyoung Kim, Jungwha Jung, Jong Ryeal Hahm, Jong Ha Baek
    Endocrinology and Metabolism.2020; 35(4): 873.     CrossRef
  • Metabolic Syndrome and Risk of Lung Cancer: An Analysis of Korean National Health Insurance Corporation Database
    Sooim Sin, Chang-Hoon Lee, Sun Mi Choi, Kyung-Do Han, Jinwoo Lee
    The Journal of Clinical Endocrinology & Metabolism.2020; 105(11): e4102.     CrossRef
  • Association of body mass index with bladder cancer risk in men depends on abdominal obesity
    Jin Bong Choi, Jung Ho Kim, Sung-Hoo Hong, Kyung-Do Han, U-Syn Ha
    World Journal of Urology.2019; 37(11): 2393.     CrossRef
  • Lower Leg Fat Depots Are Associated with Albuminuria Independently of Obesity, Insulin Resistance, and Metabolic Syndrome (Korea National Health and Nutrition Examination Surveys 2008 to 2011)
    Eugene Han, Nan Hee Cho, Mi Kyung Kim, Hye Soon Kim
    Diabetes & Metabolism Journal.2019; 43(4): 461.     CrossRef
  • The Risk of Myocardial Infarction and Ischemic Stroke According to Waist Circumference in 21,749,261 Korean Adults: A Nationwide Population-Based Study
    Jung-Hwan Cho, Eun-Jung Rhee, Se-Eun Park, Hyemi Kwon, Jin-Hyung Jung, Kyung-Do Han, Yong-Gyu Park, Hye Soon Park, Yang-Hyun Kim, Soon-Jib Yoo, Won-Young Lee
    Diabetes & Metabolism Journal.2019; 43(2): 206.     CrossRef
  • Association between Serum Gamma-Glutamyltransferase and Prevalence of Metabolic Syndrome Using Data from the Korean Genome and Epidemiology Study
    Mi Young Lee, Dae Sung Hyon, Ji Hye Huh, Hae Kyung Kim, Sul Ki Han, Jang Young Kim, Sang Baek Koh
    Endocrinology and Metabolism.2019; 34(4): 390.     CrossRef
  • The Association between Obesity Phenotypes and Early Renal Function Decline in Adults without Hypertension, Dyslipidemia, and Diabetes
    Jung In Choi, Young Hye Cho, Sang Yeoup Lee, Dong Wook Jeong, Jeong Gyu Lee, Yu Hyeon Yi, Young Jin Tak, Seung Hun Lee, Hye Rim Hwang, Eun Ju Park
    Korean Journal of Family Medicine.2019; 40(3): 176.     CrossRef
  • Sex differences in the association between asthma incidence and modifiable risk factors in Korean middle-aged and older adults: NHIS-HEALS 10-year cohort
    Susan Park, Sun-Young Jung, Jin-Won Kwon
    BMC Pulmonary Medicine.2019;[Epub]     CrossRef
  • Plasma sphingomyelins increase in pre-diabetic Korean men with abdominal obesity
    Seung-Soon Im, Hyeon Young Park, Jong Cheol Shon, In-Sung Chung, Ho Chan Cho, Kwang-Hyeon Liu, Dae-Kyu Song, Kyoung Heon Kim
    PLOS ONE.2019; 14(3): e0213285.     CrossRef
  • Estimating the Cutoff Points of Time-Dependent Risk Factors by Using Joint Modeling of Longitudinal and Time-to-Event Data: A 14-Year Follow-up Study—Tehran Lipid and Glucose Study
    Nezhat Shakeri, Fereidoun Azizi
    Asia Pacific Journal of Public Health.2019; 31(8): 728.     CrossRef
  • Metabolic Obesity Phenotypes and Thyroid Cancer Risk: A Cohort Study
    Hyemi Kwon, Yoosoo Chang, Ara Cho, Jiin Ahn, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Hocheol Shin, Seungho Ryu, Eun-Jung Rhee
    Thyroid.2019; 29(3): 349.     CrossRef
  • Trends and Cut-Point Changes in Obesity Parameters by Age Groups Considering Metabolic Syndrome
    Hyung Jun Park, Young Ho Hong, Yun Jung Cho, Ji Eun Lee, Jae Moon Yun, Hyuktae Kwon, Sang Hyuck Kim
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Difference in prostate cancer incidence around sixty years: effects of age and metabolic diseases
    Jin Bong Choi, Jung Ho Kim, Sung‐Hoo Hong, Kyung‐Do Han, U‐Syn Ha
    Cancer Medicine.2018; 7(6): 2736.     CrossRef
  • The Association of Low Back Pain with Obesity and Abdominal Obesity among Koreans Aged 50 Years or More
    Eun Young Choi
    Korean Journal of Health Promotion.2018; 18(3): 119.     CrossRef
  • Association between oral health and colorectal adenoma in a screening population
    Donghyoun Lee, Kyung Uk Jung, Hyung Ook Kim, Hungdai Kim, Ho-Kyung Chun
    Medicine.2018; 97(37): e12244.     CrossRef
  • An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study
    Ji Hye Huh, Dhananjay Yadav, Jae Seok Kim, Jung-Woo Son, Eunhee Choi, Seong Hwan Kim, Chol Shin, Ki-Chul Sung, Jang Young Kim
    Metabolism.2017; 67: 54.     CrossRef
  • Anatomic fat depots and cardiovascular risk: a focus on the leg fat using nationwide surveys (KNHANES 2008–2011)
    Eugene Han, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, In-Kyu Lee, Bong-Soo Cha
    Cardiovascular Diabetology.2017;[Epub]     CrossRef
  • Association between Body Weight Changes and Menstrual Irregularity: The Korea National Health and Nutrition Examination Survey 2010 to 2012
    Kyung Min Ko, Kyungdo Han, Youn Jee Chung, Kun-Ho Yoon, Yong Gyu Park, Seung-Hwan Lee
    Endocrinology and Metabolism.2017; 32(2): 248.     CrossRef
  • Low muscle mass and risk of type 2 diabetes in middle-aged and older adults: findings from the KoGES
    Jang Won Son, Seong Su Lee, Sung Rae Kim, Soon Jib Yoo, Bong Yun Cha, Ho Young Son, Nam H. Cho
    Diabetologia.2017; 60(5): 865.     CrossRef
  • Safety and efficacy of a non-contact radiofrequency device for body contouring in Asians
    Dong Hye Suh, Chang Min Kim, Sang Jun Lee, Hyunjoo Kim, Suk Keu Yeom, Hwa Jung Ryu
    Journal of Cosmetic and Laser Therapy.2017; 19(2): 89.     CrossRef
  • Arterial stiffness and its association with clustering of metabolic syndrome risk factors
    Wanda R. P. Lopes-Vicente, Sara Rodrigues, Felipe X. Cepeda, Camila Paixão Jordão, Valéria Costa-Hong, Akothirene C. B. Dutra-Marques, Jefferson C. Carvalho, Maria Janieire N. N. Alves, Luiz A. Bortolotto, Ivani C. Trombetta
    Diabetology & Metabolic Syndrome.2017;[Epub]     CrossRef
  • Associations of sitting time and occupation with metabolic syndrome in South Korean adults: a cross-sectional study
    Jin Young Nam, Juyoung Kim, Kyung Hee Cho, Young Choi, Jaewoo Choi, Jaeyong Shin, Eun-Cheol Park
    BMC Public Health.2016;[Epub]     CrossRef
  • Associations of Obesity and Dyslipidemia with Intake of Sodium, Fat, and Sugar among Koreans: a Qualitative Systematic Review
    Yoon Jung Kang, Hye Won Wang, Se Young Cheon, Hwa Jung Lee, Kyung Mi Hwang, Hae Seong Yoon
    Clinical Nutrition Research.2016; 5(4): 290.     CrossRef
  • Articles in 'Endocrinology and Metabolism' in 2014
    Won-Young Lee
    Endocrinology and Metabolism.2015; 30(1): 47.     CrossRef
  • Ambient Temperature and Prevalence of Obesity: A Nationwide Population-Based Study in Korea
    Hae Kyung Yang, Kyungdo Han, Jae-Hyoung Cho, Kun-Ho Yoon, Bong-Yun Cha, Seung-Hwan Lee, David Meyre
    PLOS ONE.2015; 10(11): e0141724.     CrossRef
  • Acupoint Catgut Embedding for Obesity: Systematic Review and Meta-Analysis
    Taipin Guo, Yulan Ren, Jun Kou, Jing Shi, Sun Tianxiao, Fanrong Liang
    Evidence-Based Complementary and Alternative Medicine.2015; 2015: 1.     CrossRef
  • Elderly men over 65 years of age with late-onset hypogonadism benefit as much from testosterone treatment as do younger men
    Farid Saad, Aksam Yassin, Ahmad Haider, Gheorghe Doros, Louis Gooren
    Korean Journal of Urology.2015; 56(4): 310.     CrossRef
  • Administration of Hwang-Ryun-Haedok-tang, a Herbal Complex, for Patients With Abdominal Obesity: A Case Series
    Seungwon Kwon, WooSang Jung, A Ri Byun, SangKwan Moon, KiHo Cho, KyoungHo Shin
    EXPLORE.2015; 11(5): 401.     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism
TOP