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"Seung-Sik Hwang"

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"Seung-Sik Hwang"

Original Articles
Cut-Off Values for Visceral Fat Area Identifying Korean Adults at Risk for Metabolic Syndrome
Arang Lee, Ye Ji Kim, Seung-Won Oh, Cheol Min Lee, Ho Chun Choi, Hee-Kyung Joh, Bumjo Oh, Seung-Sik Hwang, Seung Jae Kim, Oh Deog Kwon
Korean J Fam Med 2018;39(4):239-246.   Published online July 4, 2018
DOI: https://doi.org/10.4082/kjfm.17.0099
Background
Cut-off values for visceral fat area (VFA) measured by computed tomography (CT) for identifying individuals at risk of metabolic syndrome (MetS) have not been clearly established in Korean adults, particularly for large populations. We aimed to identify optimal VFA and waist circumference (WC) cut-off values and compare the ability of VFA and WC to predict the presence of ≥2 metabolic risk factors.
Methods
We included 36,783 subjects aged 19–79 years undergoing abdominal fat CT during regular health checkups between January 2007 and February 2015 in Seoul. The risk factors for MetS except WC were based on the International Diabetes Federation criteria. Receiver operating characteristic curve analyses were used to determine the appropriate VFA and WC cut-off values for MetS.
Results
VFA was a more significant predictor of metabolic risk factors than WC and body mass index (BMI). The optimal cut-off values for VFA and WC were 134.6 cm2 and 88 cm for men and 91.1 cm2 and 81 cm for women, respectively. We estimated age-specific cut-off values for VFA, WC, and BMI. VFA cut-off values increased with age, particularly among women.
Conclusion
This large population study proposed the cut-off values for VFA and WC for identifying subjects at risk of MetS among Korean adults. For more accurate diagnosis, different age-specific cut-off values for VFA and WC may be considered.

Citations

Citations to this article as recorded by  
  • Development of a sex-specific visceral fat area estimation using discrete multi-wavelength near-infrared spectroscopy measurements in Korean individuals
    Soonhyun Ban, Jihyeon Baek, Soee Choi, Sung-Ho Han
    International Journal of Obesity.2025; 49(4): 627.     CrossRef
  • Association between visceral fat area and metabolic syndrome in individuals with normal body weight: insights from a Chinese health screening dataset
    Yongbing Sun, Xinbei Lin, Zhi Zou, Yang Zhou, Ao Liu, Xin Li, Yawei Du, Xiaoqi Ji, Zhonglin Li, Xiaoling Wu, Yong Wang, Xue Lv, Tao Li, Jiancheng Zhang, Zhiping Guo, Hao Li, Yongli Li
    Lipids in Health and Disease.2025;[Epub]     CrossRef
  • Analysis of the relationship between central adiposity and biomechanical, histological, and immunohistochemical properties of the anterior wall of abdominal aortic aneurysms
    Alexandre Malta Brandão, Marcos Vinícius Melo de Oliveira, Gina Camillo Rocha Silvestre, Alexandre Queiroz Silva, Michele Alberto Marques, Suely Aparecida Pinheiro Palomino, Maria de Lourdes Higuchi, Erasmo Simão da Silva
    JVS-Vascular Science.2025; 6: 100283.     CrossRef
  • The Critical Role of Body Composition Assessment in Advancing Research and Clinical Health Risk Assessment across the Lifespan
    Jonathan P. Bennett, Soo Lim
    Journal of Obesity & Metabolic Syndrome.2025; 34(2): 120.     CrossRef
  • Association of Sarcopenia and Visceral Obesity with Clinical Outcomes Among Older Adults with Cardiovascular Disease: A Retrospective Cohort Study
    Hye-Jin Yoon, Keon-Woo Park, Young-Hoon Seo
    Journal of Clinical Medicine.2025; 14(12): 4191.     CrossRef
  • Association of a High Healthy Eating Index Diet with Long-Term Visceral Fat Loss in a Large Longitudinal Study
    Sunmin Park
    Nutrients.2024; 16(4): 534.     CrossRef
  • Prediction of high visceral adipose tissue for sex‐specific community residents in Taiwan
    Yu‐Hsuan Chang, Chin‐Sung Chang, Chieh‐Yu Liu, Yin‐Fan Chang, Shiow‐Ching Shun
    Nursing & Health Sciences.2024;[Epub]     CrossRef
  • Evaluation for Performance of Body Composition Index Based on Quantitative Computed Tomography in the Prediction of Metabolic Syndrome
    Cuihong Li, Bingwu Xu, Mengxue Chen, Yong Zhang
    Metabolic Syndrome and Related Disorders.2024; 22(4): 287.     CrossRef
  • Evaluation of visceral adipose tissue thresholds for elevated metabolic syndrome risk across diverse populations: A systematic review
    Jonathan P. Bennett, Carla M. Prado, Steven B. Heymsfield, John A. Shepherd
    Obesity Reviews.2024;[Epub]     CrossRef
  • Prevalence of metabolic syndrome and its association with CT-based central adiposity measures: a cross-sectional study at a tertiary care hospital in Pakistan
    Zainab Hussain, Aysha Habib, Zafar Sajjad
    BMJ Open.2024; 14(7): e082095.     CrossRef
  • Optimal cut-off values of visceral fat area for predicting metabolic syndrome among patients with ischemic stroke: a cross-sectional study
    Xueyan Lu, Jing Wang, Huijie Sun, Dandan Liu, Xiuli Yan, Zhuo Liu
    Frontiers in Neurology.2024;[Epub]     CrossRef
  • Effects of time-restricted feeding (TRF)-model of intermittent fasting on adipose organ: a narrative review
    Zahra Bahadoran, Parvin Mirmiran, Khosrow Kashfi, Asghar Ghasemi
    Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2024;[Epub]     CrossRef
  • Metabolic Syndrome in Obese and Non-Obese Individuals Presented at A Tertiary Care Hospital of Hyderabad, Pakistan
    Javeria Tariq, Mona Humaira, Atif Ahmed, Abeer Memon, Naila Memon, Madiha Shah
    Pakistan Journal of Health Sciences.2024; : 226.     CrossRef
  • Impact of visceral obesity on the short-term outcomes after laparoscopic appendectomy
    Liangliang Ma, Hao Pan, Kui Chen
    Scandinavian Journal of Gastroenterology.2023; 58(7): 757.     CrossRef
  • Validation for measurements of skeletal muscle areas using low-dose chest computed tomography
    Woo Hyeon Lim, Chang Min Park
    Scientific Reports.2022;[Epub]     CrossRef
  • Computed tomography reference values for visceral obesity and increased metabolic risk in a Caucasian cohort
    Michelle R. Baggerman, Ingeborg M. Dekker, Bjorn Winkens, Steven W.M. Olde Damink, Peter J.M. Weijs, Marcel C.G. van de Poll
    Clinical Nutrition ESPEN.2022; 48: 408.     CrossRef
  • Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus
    Eun Hee Kim, Hong-Kyu Kim, Min Jung Lee, Sung-Jin Bae, Jaewon Choe, Chang Hee Jung, Chul-Hee Kim, Joong-Yeol Park, Woo Je Lee
    Diabetes & Metabolism Journal.2022; 46(3): 486.     CrossRef
  • Impact of metabolic syndrome on the short- and long-term outcomes for the elderly patients with gastric cancer after radical gastrectomy
    He Wu, Hao-Jie Jiang, Su-Lin Wang, Xi-Yi Chen, Liang-Liang Ma, Zhen Yu, Chong-Jun Zhou
    Clinics and Research in Hepatology and Gastroenterology.2022; 46(10): 102041.     CrossRef
  • Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
    Pingping Yu, Huachao Yang, Xiaoya Qi, Ruixue Bai, Shouqin Zhang, Jianping Gong, Ying Mei, Peng Hu
    Lipids in Health and Disease.2022;[Epub]     CrossRef
  • CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China
    Qiang Zeng, Ling Wang, Shengyong Dong, Xiaojuan Zha, Limei Ran, Yongli Li, Shuang Chen, Jianbo Gao, Shaolin Li, Yong Lu, Yuqin Zhang, Xigang Xiao, Yuehua Li, Xiao Ma, Xiangyang Gong, Wei Chen, Yingying Yang, Xia Du, Bairu Chen, Yinru Lv, Yan Wu, Guobin Ho
    Metabolism.2021; 115: 154456.     CrossRef
  • Optimal Cut-Off Values of Visceral Fat Area for Predicting Metabolic Syndrome Among Type 2 Diabetes Patients in Ningbo, China
    Xi Yang, Yi Lin, Guo-dong Xu, Yan-shu Chen, Ye Zhou, Jing Sun, Li Li
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 1375.     CrossRef
  • Comparison of bioelectrical body and visceral fat indices with anthropometric measures and optimal cutoffs in relation to hypertension by age and gender among Chinese adults
    Binbin Zhang, Yaqi Fan, Yuxue Wang, Li Zhang, Chunjun Li, Jiangshan He, Pei Guo, Mianzhi Zhang, Minying Zhang
    BMC Cardiovascular Disorders.2021;[Epub]     CrossRef
  • Measurement of visceral fat and abdominal obesity by single-frequency bioelectrical impedance and CT: a cross-sectional study
    Zhengyang Xu, Yandong Liu, Chengxi Yan, Ruopei Yang, Li Xu, Zhe Guo, Aihong Yu, Xiaoguang Cheng, Lin Ma, Chunhong Hu, Giuseppe Guglielmi, Karen Hind
    BMJ Open.2021; 11(10): e048221.     CrossRef
  • Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
    Patricia Lizett Rodríguez-Carrillo, Priscila Irene Aguirre-Tostado, Maciste H. Macías-Cervantes, Jorge Alejandro Alegría-Torres, Claudia Luevano-Contreras
    Healthcare.2021; 9(11): 1561.     CrossRef
  • Metabolic Syndrome, as Defined Based on Parameters Including Visceral Fat Area, Predicts Complications After Surgery for Rectal Cancer
    Chong-Jun Zhou, Yi-Fan Cheng, Lin-Zhen Xie, Wan-Le Hu, Bo Chen, Lei Xu, Chong-Jie Huang, Mao Cai, Xian Shen, Chang-Bao Liu
    Obesity Surgery.2020; 30(1): 319.     CrossRef
  • Differential effect of obesity on the incidence of retinal vein occlusion with and without diabetes: a Korean nationwide cohort study
    Dong Won Paik, Kyungdo Han, Se Woong Kang, Don-Il Ham, Sang Jin Kim, Tae-Young Chung, Dong Hui Lim
    Scientific Reports.2020;[Epub]     CrossRef
  • CT-defined visceral adipose tissue thresholds for identifying metabolic complications: a cross-sectional study in the United Arab Emirates
    Sunmi Yoo, Myung-Whun Sung, Hongdae Kim
    BMJ Open.2020; 10(8): e031181.     CrossRef
  • 14,111 View
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  • 27 Web of Science
  • 27 Crossref
The Association between Fat Mass, Lean Mass and Bone Mineral Density in Premenopausal Women in Korea: A Cross-Sectional Study
Jeehyun Kim, Hyuktae Kwon, Bo-Kyoung Heo, Hee-Kyung Joh, Cheol Min Lee, Seung-Sik Hwang, Danbee Park, Jae-Hong Park
Korean J Fam Med 2018;39(2):74-84.   Published online March 22, 2018
DOI: https://doi.org/10.4082/kjfm.2018.39.2.74
Background

We investigated the association between body composition, especially truncal or non-truncal fat mass (FM), and bone mineral density (BMD) in premenopausal women in Korea.

Methods

A cross-sectional study was performed using data from the Korea National Health and Nutrition Examination Survey IV and V (2008–2011). Total lean mass (LM), total FM (TFM), truncal FM, and non-truncal FM, and BMD of the total femur, femoral neck (FN), and lumbar spine were measured using dual-energy X-ray absorptiometry. The association between body composition and BMD was analyzed using multiple linear regression. The risk of low BMD according to quartiles of TFM, truncal FM, and non-truncal FM was calculated using logistic regression. Subgroup analysis according to body mass index was also performed.

Results

In 4,343 premenopausal women, total LM was positively associated with BMD regardless of weight adjustment. TFM, truncal FM, and non-truncal FM were inversely associated with BMD after adjusting for weight. Odds ratios (ORs) for low BMD and 95% confidence intervals (CIs) of the highest quartile of TFM, truncal FM, and non-truncal FM compared with the lowest quartile were calculated. The risk of low BMD of the FN was higher in the highest quartile of TFM (OR, 4.48; 95% CI, 1.11–18.01) and truncal FM (OR, 5.48; 95% CI, 1.75–17.20). Truncal FM and not-truncal FM had an inverse association with BMD in the non-obese and obese subgroups of women.

Conclusion

Total LM has a protective effect on BMD and FM can have a detrimental effect on BMD besides its skeletal loading effect.

Citations

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  • Association between normal-weight obesity and bone mineral density in older Korean adults: A population-based cross-sectional study
    Jeonghyeon Kim, Seamon Kang, Hyunsik Kang
    Maturitas.2024; 180: 107891.     CrossRef
  • Sex and Obesity-Specific Associations of Ultrasound-Assessed Radial Velocity of Sound with Body Composition
    Simona Sulis, Darina Falbová, Radoslav Beňuš, Petra Švábová, Alexandra Hozáková, Lenka Vorobeľová
    Applied Sciences.2024; 14(16): 7319.     CrossRef
  • Clinical Characteristic of Patients Underwent Bone Mineral Density Examination in Prof. Dr. R. Soeharso Orthopaedic Hospital in 2022-2023: A Cross-Sectional Study
    R. Andhi Prijosedjati, Pamudji Utomo, Leli Sabariyah, Ahmad Fauzi
    (JOINTS) Journal Orthopaedi and Traumatology Surabaya.2024; 13(1): 1.     CrossRef
  • Influence of Muscle Mass and Strength on Bone Mineralisation with Consideration of Sclerostin Concentration
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    Anoohya Gandham, Jakub Mesinovic, Mavil May Cervo, Costas Glavas, Paul Jansons, Carrie-Anne Ng, Juan Pena Rodriguez, Ayse Zengin, Maxine P. Bonham, Peter R. Ebeling, David Scott
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    Nader Tarabeih, Adel Shalata, Alexander Kalinkovich, Orabi Higla, Gregory Livshits
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    Erica J. Roelofs, Donald R. Dengel, Qi Wang, James S. Hodges, Julia Steinberger, Scott Baker
    Pediatric Transplantation.2022;[Epub]     CrossRef
  • Association between body mass index, bone bending strength, and BMD in young sedentary women
    A. Auslander, M. T. C. Liang, J. Gavin, E. Jo, J. Rocha-Rangel, J.-H. Lin, Y.-L. Kwoh, S. B. Arnaud
    Osteoporosis International.2022; 33(3): 673.     CrossRef
  • Association of androgen excess and bone mineral density in women with classical congenital adrenal hyperplasia with 21-hydroxylase deficiency
    Dong Ho Lee, Sung Hye Kong, Han Na Jang, Chang Ho Ahn, Seung Gyun Lim, Young Ah Lee, Sang Wan Kim, Jung Hee Kim
    Archives of Osteoporosis.2022;[Epub]     CrossRef
  • The Relationship Between Bone Mineral Density and Body Composition Among Qatari Women With High Rate of Obesity: Qatar Biobank Data
    Abdelhamid Kerkadi, Shalima Lathief, Yasmen Khial, Toka Teleb, Grace Attieh, Md Mizanur Rahman, Zumin Shi, Abdelali Agouni
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    International Journal of Environmental Research and Public Health.2020; 17(12): 4471.     CrossRef
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    Michael Müller, Alexander Gutwerk, Frederik Greve, Lisa Völker, Michael Zyskowski, Chlodwig Kirchhoff, Peter Biberthaler, Dominik Pförringer, Karl Braun
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    Osteoporosis and Sarcopenia.2020; 6(4): 212.     CrossRef
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    BMC Musculoskeletal Disorders.2019;[Epub]     CrossRef
  • 8,714 View
  • 83 Download
  • 20 Web of Science
  • 22 Crossref
Association between Body Mass Index and Quality of Life in Elderly People over 60 Years of Age
Gyeongsil Lee, Jiyoung Park, Seung-Won Oh, Hee-Kyung Joh, Seung-Sik Hwang, Jeehyun Kim, Danbee Park
Korean J Fam Med 2017;38(4):181-191.   Published online July 20, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.4.181
Background

The Korean population is aging rapidly and the number of health threats is increasing. The elderly obese population is also increasing and this study aimed to evaluate the association between body mass index (BMI) and health-related quality of life in the elderly Korean population.

Methods

The Korean version Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) was administered to elderly subjects (≥60 years) selected from welfare and health centers, and university hospitals. Sociodemographic information and subjects' height and weight were also recorded.

Results

The study population's mean age was 74.2±7.1 years, and the average BMI was 24.5±3.2 kg/m2. The 542 participants were segregated based on BMI quartiles. The SF-36 scores were compared among the sex-stratified quartile groups after adjusting for age, education level, income, smoking, alcohol, and arthritis diagnosis. The SF-36 scores were compared for four BMI quartiles stratified by sex, after adjusting for age, education level, income, smoking, alcohol consumption, and arthritis diagnosis. Men in the Q3 and Q4 groups had higher mental health scores than men in Q2 group. Additionally, men in the Q3 group had higher social function scores than those in the Q2 and Q4 groups. No differences were observed for the remaining six domains; no significant score differences were observed in any of the survey domains for the female subjects.

Conclusion

There was no significant association between a high BMI and a low quality of life in the elderly Korean population selected from hospitals and welfare centers, as assessed using the SF-36 scores.

Citations

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  • 80 Download
  • 8 Web of Science
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