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Jihyun Kim  (Kim J) 3 Articles
Clinical Study
Waist Circumference as a Marker of Obesity Is More Predictive of Coronary Artery Calcification than Body Mass Index in Apparently Healthy Korean Adults: The Kangbuk Samsung Health Study
Jongsin Park, Eun Seo Lee, Da Young Lee, Jihyun Kim, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
Endocrinol Metab. 2016;31(4):559-566.   Published online December 20, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.4.559
  • 4,807 View
  • 39 Download
  • 33 Web of Science
  • 30 Crossref
AbstractAbstract PDFPubReader   
Background

We aimed to assess the risk for coronary artery calcification (CAC) according to groups subdivided by body mass index (BMI) and waist circumference (WC) in apparently healthy Korean adults.

Methods

Thirty-three thousand four hundred and thirty-two participants (mean age, 42 years) in a health screening program were divided into three groups according to BMI: <23 kg/m2 (normal), 23 to 25 kg/m2 (overweight), and >25 kg/m2 (obese). In addition, the participants were divided into two groups according to WC. Coronary artery calcium score (CACS) was measured with multi-detector computed tomography in all participants. Presence of CAC was defined as CACS >0.

Results

When logistic regression analysis was performed with the presence of CAC as the dependent variable, the risk for CAC increased as BMI increased after adjusting for confounding variables (1.102 [95% confidence interval (CI), 1.000 to 1.216]; 1.284 [95% CI, 1.169 to 1.410]; in the overweight and obese groups vs. the normal weight group). When the participants were divided into six groups according to BMI and WC, the subjects with BMI and WC in the obese range showed the highest risk for CAC (1.321 [95% CI, 1.194 to 1.461]) and those with BMI in the overweight range and WC in the obese range showed the second highest risk for CAC (1.235 [95% CI, 1.194 to 1.461]).

Conclusion

Participants with obesity defined by both BMI and WC showed the highest risk for CAC. Those with BMIs in the overweight range but with WC in the obese range showed the second highest risk for CAC, suggesting that WC as a marker of obesity is more predictive of CAC than BMI.

Citations

Citations to this article as recorded by  
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    Vidya, Rahul Singh
    Journal of Health Management.2024; 26(2): 330.     CrossRef
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    Mahmoud Al Rifai, Alka M. Kanaya, Namratha R Kandula, Jaideep Patel, Mouaz H. Al-Mallah, Matthew Budoff, Miguel Cainzos-Achirica, Michael H. Criqui, Salim S. Virani
    Current Problems in Cardiology.2023; 48(4): 101105.     CrossRef
  • Body weight at age 20 and in midlife is more important than weight gain for coronary atherosclerosis: Results from SCAPIS
    Göran Bergström, Annika Rosengren, Elin Bacsovics Brolin, John Brandberg, Kerstin Cederlund, Gunnar Engström, Jan E. Engvall, Maria J. Eriksson, Isabel Gonçalves, Emil Hagström, Stefan K. James, Tomas Jernberg, Mikael Lilja, Martin Magnusson, Anders Perss
    Atherosclerosis.2023; 373: 46.     CrossRef
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    Isabelle Lemieux, Jean-Pierre Després
    Atherosclerosis.2023; 373: 55.     CrossRef
  • Central obesity and its associated factors among cancer patients at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia
    Meseret Derbew Molla, Haileab Fekadu Wolde, Ephrem Tafesse Teferi, Anteneh Ayelign Kibret
    Frontiers in Oncology.2023;[Epub]     CrossRef
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    Archives of Osteoporosis.2023;[Epub]     CrossRef
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    Journal of Clinical Lipidology.2022; 16(1): 66.     CrossRef
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    Chun-Ho Yun, Jing-Rong Jhuang, Meng-Ting Tsou
    Scientific Reports.2022;[Epub]     CrossRef
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    Ephrem Israel, Kalkidan Hassen, Melese Markos, Kiber Wolde, Behailu Hawulte
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 601.     CrossRef
  • Gender-Based Association of Coronary Artery Calcification and Framingham Risk Score With Non-alcoholic Fatty Liver Disease and Abdominal Obesity in Taiwanese Adults, a Cross-Sectional Study
    Meng-Ting Tsou, Jau-Yuan Chen
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Joint Associations of Obesity and Cardiorespiratory Fitness With Coronary Artery Calcium Composition
    Sae Young Jae, Hyun Jeong Kim, Kyung Hyun Lee, Setor K. Kunutsor, Kevin S. Heffernan, Yoon-Ho Choi, Mira Kang
    Journal of Cardiopulmonary Rehabilitation and Prevention.2022; 42(3): 202.     CrossRef
  • Proposing new body mass index and waist circumference cut-offs based on cardiometabolic risks for a Central Asia population: A feasibility study
    Aknur Kali, Arnur Gusmanov, Marat Aripov, Mei-Yen Chan
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • New Model for Predicting the Presence of Coronary Artery Calcification
    Samel Park, Min Hong, HwaMin Lee, Nam-jun Cho, Eun-Young Lee, Won-Young Lee, Eun-Jung Rhee, Hyo-Wook Gil
    Journal of Clinical Medicine.2021; 10(3): 457.     CrossRef
  • Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association
    Tiffany M. Powell-Wiley, Paul Poirier, Lora E. Burke, Jean-Pierre Després, Penny Gordon-Larsen, Carl J. Lavie, Scott A. Lear, Chiadi E. Ndumele, Ian J. Neeland, Prashanthan Sanders, Marie-Pierre St-Onge
    Circulation.2021;[Epub]     CrossRef
  • Association Between Obesity and Blood Pressure in Common Korean People
    Nam Lyong Kang
    Vascular Health and Risk Management.2021; Volume 17: 371.     CrossRef
  • Prevalence of abdominal obesity and its association with cardiovascular risk among the adult population in Burkina Faso: findings from a nationwide cross-sectional study
    Kadari Cisse, Sékou Samadoulougou, Mady Ouedraogo, Seni Kouanda, Fati Kirakoya-Samadoulougou
    BMJ Open.2021; 11(7): e049496.     CrossRef
  • Association between obesity and risk of fracture, bone mineral density and bone quality in adults: A systematic review and meta-analysis
    Anne-Frédérique Turcotte, Sarah O’Connor, Suzanne N. Morin, Jenna C. Gibbs, Bettina M. Willie, Sonia Jean, Claudia Gagnon, Tuan Van Nguyen
    PLOS ONE.2021; 16(6): e0252487.     CrossRef
  • Association of Body Weight Variability with Adverse Cardiovascular Outcomes in Patients with Pre-Dialysis Chronic Kidney Disease
    Sang Heon Suh, Tae Ryom Oh, Hong Sang Choi, Chang Seong Kim, Eun Hui Bae, Sue K. Park, Yong-Soo Kim, Yeong Hoon Kim, Kyu Hun Choi, Kook-Hwan Oh, Seong Kwon Ma, Soo Wan Kim
    Nutrients.2021; 13(10): 3381.     CrossRef
  • Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
    Eun-Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee
    Diabetes & Metabolism Journal.2020; 44(4): 592.     CrossRef
  • The effects of supplementation with L-arginine on anthropometric indices and body composition in overweight or obese subjects: A systematic review and meta-analysis
    Mohammad Zeinali Khosroshahi, Omid Asbaghi, Sajjad Moradi, Mahnaz Rezaei kelishadi, Mojtaba Kaviani, Mahnaz Mardani, Cyrus Jalili
    Journal of Functional Foods.2020; 71: 104022.     CrossRef
  • Effect of Exercises and Diet Intervention in Pregnancy on Postpartum Weight Retention and Obesity Markers: Findings in Indian Women
    Alka Pawalia, Sivachidambaram Kulandaivelan, Vikram Singh Yadav
    Journal of Women's Health Physical Therapy.2020; 44(3): 123.     CrossRef
  • Magnitude of Central Obesity and its Associated Factors Among Adults in Urban Areas of Northwest Ethiopia


    Meseret Derbew Molla, Haileab Fekadu Wolde, Asmamaw Atnafu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 4169.     CrossRef
  • Is the coronary artery calcium score the first-line tool for investigating patients with severe hypercholesterolemia?
    Sandra Kutkienė, Žaneta Petrulionienė, Aleksandras Laucevičius, Rimantė Čerkauskienė, Vytautas Kasiulevičius, Artūras Samuilis, Virginija Augaitienė, Aurelija Gedminaitė, Gintarė Bieliauskienė, Akvilė Šaulytė-Mikulskienė, Justina Staigytė, Emilija Petruli
    Lipids in Health and Disease.2019;[Epub]     CrossRef
  • Letter: Association of Z-Score of the Log-Transformed A Body Shape Index with Cardiovascular Disease in People Who Are Obese but Metabolically Healthy: The Korea National Health and Nutrition Examination Survey 2007-2010 (J Obes Metab Syndr 2018;27:158-65
    Eun-Jung Rhee
    Journal of Obesity & Metabolic Syndrome.2019; 28(2): 139.     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
  • Abdominal obesity increases metabolic risk factors in non-obese adults: a Hungarian cross-sectional study
    Anita Lukács, Edina Horváth, Zsuzsanna Máté, Andrea Szabó, Katalin Virág, Magor Papp, János Sándor, Róza Ádány, Edit Paulik
    BMC Public Health.2019;[Epub]     CrossRef
  • Association between thyroid hormone levels, body composition and insulin resistance in euthyroid subjects with normal thyroid ultrasound: The Kangbuk Samsung Health Study
    Hyemi Kwon, Jung‐Hwan Cho, Da Young Lee, Se Eun Park, Cheol‐Young Park, Won‐Young Lee, Ki‐Won Oh, Sung‐Woo Park, Eun‐Jung Rhee
    Clinical Endocrinology.2018; 89(5): 649.     CrossRef
  • Being Metabolically Healthy, the Most Responsible Factor for Vascular Health
    Eun-Jung Rhee
    Diabetes & Metabolism Journal.2018; 42(1): 19.     CrossRef
  • Effects of lobeglitazone, a novel thiazolidinedione, on adipose tissue remodeling and brown and beige adipose tissue development in db/db mice
    G Kim, Y-h Lee, M R Yun, J-Y Lee, E G Shin, B-W Lee, E S Kang, B-S Cha
    International Journal of Obesity.2018; 42(3): 542.     CrossRef
  • Articles inEndocrinology and Metabolismin 2016
    Won-Young Lee
    Endocrinology and Metabolism.2017; 32(1): 62.     CrossRef
Close layer
Clinical Study
Association of Waist-Height Ratio with Diabetes Risk: A 4-Year Longitudinal Retrospective Study
Yoon Jeong Son, Jihyun Kim, Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
Endocrinol Metab. 2016;31(1):127-133.   Published online March 16, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.1.127
  • 4,589 View
  • 37 Download
  • 27 Web of Science
  • 26 Crossref
AbstractAbstract PDFPubReader   
Background

Waist-to-height ratio (WHtR) is an easy and inexpensive adiposity index that reflects central obesity. In this study, we examined the association of various baseline adiposity indices, including WHtR, with the development of diabetes over 4 years of follow-up in apparently healthy Korean individuals.

Methods

A total of 2,900 nondiabetic participants (mean age, 44.3 years; 2,078 men) in a health screening program, who repeated the medical check-up in 2005 and 2009, were recruited. Subjects were divided into two groups according to development of diabetes after 4 years. The cut-off values of baseline body mass index (BMI), waist circumference (WC), and WHtR for the development of diabetes over 4 years were calculated. The sensitivity, specificity, and mean area under the receiver operator characteristic curve (AUROC) of each index were assessed. The odds ratio (OR) for diabetes development was analyzed for each of the three baseline adiposity indices.

Results

During the follow-up period, 101 new cases (3.5%) of diabetes were diagnosed. The cut-off WHtR value for diabetes development was 0.51. Moreover, WHtR had the highest AUROC value for diabetes development among the three adiposity indices (0.716, 95% confidence interval [CI], 0.669 to 0.763; 0.702, 95% CI, 0.655 to 0.750 for WC; 0.700, 95% CI, 0.651 to 0.750 for BMI). After adjusting for confounding variables, the ORs of WHtR and WC for diabetes development were 1.95 (95% CI, 1.14 to 3.34) and 1.96 (95% CI, 1.10 to 3.49), respectively. No significant differences were observed between the two groups regarding BMI.

Conclusion

Increased baseline WHtR and WC correlated with the development of diabetes after 4 years. WHtR might be a useful screening measurement to identify individuals at high risk for diabetes.

Citations

Citations to this article as recorded by  
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    Rachana Manandhar Shrestha, Thuy Thi Phuong Pham, Shohei Yamamoto, Chau Que Nguyen, Ami Fukunaga, Phan Cong Danh, Masahiko Hachiya, Huy Xuan Le, Hung Thai Do, Tetsuya Mizoue, Yosuke Inoue
    American Journal of Human Biology.2024;[Epub]     CrossRef
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    Erfan Sadeghi, Alireza Khodadadiyan, Seyed Ali Hosseini, Sayed Mohsen Hosseini, Ashraf Aminorroaya, Massoud Amini, Sara Javadi
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    Eun-Jung Rhee, Jung-Hwan Cho, Hyemi Kwon, Se-Eun Park, Jin-Hyung Jung, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee
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    Rachael M. Taylor, Rebecca L. Haslam, Tracy L. Burrows, Kerith R. Duncanson, Lee M. Ashton, Megan E. Rollo, Vanessa A. Shrewsbury, Tracy L. Schumacher, Clare E. Collins
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    Ying-xiu Zhang, Shu-rong Wang
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    Morena Ustulin, So Young Park, Sang Ouk Chin, Suk Chon, Jeong-taek Woo, Sang Youl Rhee
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    Eun-Jung Rhee
    Diabetes & Metabolism Journal.2018; 42(1): 19.     CrossRef
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    Jung Ran Choi, Sang Baek Koh, Eunhee Choi
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    Ceren Gezer
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Close layer
Clinical Study
The Relationship between 10-Year Cardiovascular Risk Calculated Using the Pooled Cohort Equation and the Severity of Non-Alcoholic Fatty Liver Disease
Jeong In Lee, Min Chul Kim, Byung Sub Moon, Young Seok Song, Eun Na Han, Hyo Sun Lee, Yoonjeong Son, Jihyun Kim, Eun Jin Han, Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
Endocrinol Metab. 2016;31(1):86-92.   Published online March 16, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.1.86
  • 5,145 View
  • 40 Download
  • 21 Web of Science
  • 24 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the association between the severity of non-alcoholic fatty liver disease (NAFLD) and the estimated 10-year risk of cardiovascular disease (CVD) calculated by Pooled Cohort Equation (PCE) and Framingham risk score (FRS).

Methods

A total of 15,913 participants (mean age, 46.3 years) in a health screening program were selected for analysis. The presence and severity of fatty liver was assessed by abdominal ultrasonogram. Subjects who drank alcohol more than three times a week were excluded from the study.

Results

Among the participants, 57.6% had no NAFLD, 35.4% had grade I, 6.5% had grade II, and 0.5% had grade III NAFLD. Mean estimated 10-year CVD risk was 2.59%, 3.93%, 4.68%, and 5.23% calculated using the PCE (P for trend <0.01) and 4.55%, 6.39%, 7.33%, and 7.13% calculated using FRS, according to NAFLD severity from none to severe (P for trend <0.01). The odds ratio for ≥7.5% estimated CVD risk calculated using the PCE showed a higher correlation with increasing severity of NAFLD even after adjustment for conventional CVD risk factors (1.52, 2.56, 3.35 vs. the no NAFLD group as a reference, P<0.01) compared with calculated risk using FRS (1.65, 1.62, 1.72 vs. no NAFLD group as a reference, P<0.01).

Conclusion

In our study of apparently healthy Korean adults, increasing severity of NAFLD showed a higher correlation with estimated 10-year CVD risk when calculated using the PCE than when calculated using FRS.

Citations

Citations to this article as recorded by  
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