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Sung-Jin Bae  (Bae SJ) 4 Articles
Metabolic Risk/Epidemiology
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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 Metab J. 2022;46(3):486-498.   Published online November 18, 2021
DOI: https://doi.org/10.4093/dmj.2021.0095
  • 10,471 View
  • 386 Download
  • 23 Web of Science
  • 26 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to determine the optimal cut-off values of visceral fat area (VFA) and visceral-to-subcutaneous fat ratio (VSR) for predicting incident type 2 diabetes mellitus (T2DM).
Methods
A total of 10,882 individuals (6,835 men; 4,047 women) free of T2DM at baseline aged between 30 and 79 years who underwent abdominal computed tomography scan between 2012 and 2013 as a part of routine health check-ups were included and followed. VFA, subcutaneous fat area, and VSR on L3 vertebral level were measured at baseline.
Results
During a median follow-up of 4.8 years, 730 (8.1% for men; 4.3% for women) incident cases of T2DM were identified. Receiver operating characteristic curve analysis showed that the optimal cut-off values of VFA and VSR for predicting incident T2DM were 130.03 cm2 and 1.08 in men, respectively, and 85.7 cm2 and 0.48 in women, respectively. Regardless of sex, higher VFA and VSR were significantly associated with a higher risk of incident T2DM. Compared with the lowest quartiles of VFA and VSR, the highest quartiles had adjusted odds ratios of 2.62 (95% confidence interval [CI], 1.73 to 3.97) and 1.55 (95% CI, 1.14 to 2.11) in men, respectively, and 32.49 (95% CI, 7.42 to 142.02) and 11.07 (95% CI, 3.89 to 31.50) in women, respectively.
Conclusion
Higher VFA and VSR at baseline were independent risk factors for the development of T2DM. Sex-specific reference values for visceral fat obesity (VFA ≥130 cm2 or VSR ≥1.0 in men; VFA ≥85 cm2 or VSR ≥0.5 in women) are proposed for the prediction of incident T2DM.

Citations

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  • Severity of adipose tissue dysfunction is associated with progression of pre-diabetes to type 2 diabetes: the Tehran Lipid and Glucose Study
    Mohammad Jalali, Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi, Farhad Hosseinpanah
    BMC Public Health.2024;[Epub]     CrossRef
  • Should insulin resistance (HOMA-IR), insulin secretion (HOMA-β), and visceral fat area be considered for improving the performance of diabetes risk prediction models
    Huan Hu, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto, Tetsuya Mizoue
    BMJ Open Diabetes Research & Care.2024; 12(1): e003680.     CrossRef
  • Adipose organ dysfunction and type 2 diabetes: Role of nitric oxide
    Zahra Bahadoran, Parvin Mirmiran, Asghar Ghasemi
    Biochemical Pharmacology.2024; 221: 116043.     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
  • Guidelines for obesity clinic consultations in primary healthcare clinics
    Jee-Hyun Kang, Kyoung-Kon Kim
    Journal of the Korean Medical Association.2024; 67(4): 240.     CrossRef
  • Correlation between fat-to-muscle mass ratio and cognitive impairment in elderly patients with type 2 diabetes mellitus: a cross-sectional study
    Fan Wu, Yanlan Liu, Chenying Lin, Nahal Haghbin, Longfei Xia, Yaoshuang Li, Tong Chen, Huina Qiu, Weiran Jiang, Jingbo Li, Jingna Lin
    BMC Geriatrics.2024;[Epub]     CrossRef
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    Obesity Reviews.2024;[Epub]     CrossRef
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    Tianyi Feng, Sanyuan Hu, Changrong Song, Mingwei Zhong
    Frontiers in Surgery.2024;[Epub]     CrossRef
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    Hao-Wen Chen, Kuan Liu, Bi-Fei Cao, Qi Zhong, Rui Zhou, Liang-Hua Li, Shi-Ao Wang, Yan-Fei Wei, Hua-Min Liu, Xian-Bo Wu
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Visceral fat area and subcutaneous fat area as measures of body composition in soft tissue sarcoma
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    Mauricio A. Cuello, Fernán Gómez, Ignacio Wichmann, Felipe Suárez, Sumie Kato, Elisa Orlandini, Jorge Brañes, Carolina Ibañez
    Cancers.2023; 15(4): 1156.     CrossRef
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    Ana Vergínia Campagnollo Bueno, Michelli Gonçalves Seneda, Ângela Mara Rambo, Ana Clara Campagnolo Gonçalves Toledo, Caroline Cabral de Azevedo, Adriane Viapiana Bossa
    Health and Society.2023; 3(01): 411.     CrossRef
  • Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes
    Min-Kyung Lee, Jae-Hyuk Lee, Seo Young Sohn, Jiyeon Ahn, Oak-Kee Hong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
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    Haiyan Lin, Jun Zhu, Chen Zheng, Xiaoming Xu, Shandong Ye
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    Hyun-Jin Kim, Byungmi Kim, Seyoung Kim, Hyuktae Kwon, Jae Moon Yun, Belong Cho, Jin-Ho Park
    European Journal of Medical Research.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 reference data computed for GE HealthCare DXA from the National Health and Nutrition Examination Survey data set
    Jonathan P. Bennett, Brandon K. Quon, Bo Fan, En Liu, Leila Kazemi, Rosa C. Villegas‐Valle, Raj Ahgun, Xian‐pin Wu, Hou‐De Zhou, Ying Lu, John A. Shepherd
    Obesity.2023; 31(12): 2947.     CrossRef
  • Comparison of bioelectrical body and visceral fat indices and anthropometric measures in relation to type 2 diabetes by sex among Chinese adults, a cross-sectional study
    Jiangshan He, Binbin Zhang, Yaqi Fan, Yuxue Wang, Mianzhi Zhang, Chunjun Li, Li Zhang, Pei Guo, Minying Zhang
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics
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    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy
    Ren Jie Phang, Rebecca H. Ritchie, Derek J. Hausenloy, Jarmon G. Lees, Shiang Y. Lim
    Cardiovascular Research.2022;[Epub]     CrossRef
  • Implication of Sex Differences in Visceral Fat for the Assessment of Incidence Risk of Type 2 Diabetes Mellitus
    Sang Hyeon Ju, Hyon-Seung Yi
    Diabetes & Metabolism Journal.2022; 46(3): 414.     CrossRef
  • Visceral fat area and body fat percentage measured by bioelectrical impedance analysis correlate with glycometabolism
    Shuying Li, Shaoping Li, Jie Ding, Weihong Zhou
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • The Demographic Specific Abdominal Fat Composition and Distribution Trends in US Adults from 2011 to 2018
    Furong Xu, Jacob E. Earp, Bryan J. Blissmer, Ingrid E. Lofgren, Matthew J. Delmonico, Geoffrey W. Greene
    International Journal of Environmental Research and Public Health.2022; 19(19): 12103.     CrossRef
  • Visceral Obesity Is a More Important Factor for Colorectal Adenomas than Skeletal Muscle or Body Fat
    Ji Yeon Seo, Yoo Min Han, Su Jin Chung, Seon Hee Lim, Jung Ho Bae, Goh Eun Chung
    Cancers.2022; 14(21): 5256.     CrossRef
  • Recent Advances in Visceral Obesity and Related Diseases
    佳佳 魏
    Advances in Clinical Medicine.2022; 12(12): 11686.     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
Epidemiology
Longitudinal Changes of Body Composition Phenotypes and Their Association with Incident Type 2 Diabetes Mellitus during a 5-Year Follow-up in Koreans
Hong-Kyu Kim, Min Jung Lee, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Chul-Hee Kim, Joong-Yeol Park
Diabetes Metab J. 2019;43(5):627-639.   Published online April 19, 2019
DOI: https://doi.org/10.4093/dmj.2018.0141
  • 5,399 View
  • 66 Download
  • 20 Web of Science
  • 20 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

To elucidate longitudinal changes of complex body composition phenotypes and their association with incident type 2 diabetes mellitus.

Methods

A total of 17,280 (mean age, 48.1±8.2 years) Korean adults who underwent medical check-ups were included. The mean follow-up duration was 5.5±0.5 years. Body compositions were assessed using a bioelectrical impedance analysis. Four body composition phenotypes were defined using the median of appendicular skeletal muscle mass (ASM) index and fat mass index: low muscle/low fat (LM/LF); high muscle (HM)/LF; LM/high fat (HF); and HM/HF groups.

Results

Of the individuals in the LM/LF or HM/HF groups, over 60% remained in the same group, and over 30% were moved to the LM/HF group. Most of the LM/HF group remained in this group. In the baseline HM/LF group, approximately 30% stayed in the group, and the remaining individuals transitioned to the three other groups in similar proportions. Incident diabetes was significantly lower in participants who remained in the HM/LF group than those who transitioned to the LM/LF or LM/HF group from the baseline HM/LF group in men. ASM index was significantly associated with a decreased risk for incident diabetes in men regardless of obesity status (adjusted odds ratio [OR], 0.71 per kg/m2; 95% confidence interval [CI], 0.52 to 0.97 in non-obese) (adjusted OR, 0.87; 95% CI, 0.77 to 0.98 in obese) after adjusting for other strong risk factors (e.g., baseline glycosylated hemoglobin and homeostasis model assessment of insulin resistance).

Conclusion

Maintenance of ASM may be protective against the development of type 2 diabetes mellitus in men, regardless of obesity status.

Citations

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    Hye Ah Lee, Hyesook Park
    Diabetes, Obesity and Metabolism.2024; 26(2): 431.     CrossRef
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  • Association of serum gamma-glutamyl transferase with myosteatosis assessed by muscle quality mapping using abdominal computed tomography
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Response: Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea (Diabetes Metab J 2012;36:151-6)
Hong-Kyu Kim, Sung-Jin Bae, Jaewon Choe
Diabetes Metab J. 2012;36(3):253-253.   Published online June 14, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.3.253
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PDFPubReader   
Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea
Hong-Kyu Kim, Sung-Jin Bae, Jaeone Choe
Diabetes Metab J. 2012;36(2):151-156.   Published online April 17, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.2.151
  • 3,412 View
  • 30 Download
  • 17 Crossref
AbstractAbstract PDFPubReader   
Background

We performed the study to examine the impact of hemoglobin A1c (HbA1c) criterion on the screening of increased risk for diabetes among health check-up subjects in Korea.

Methods

We retrospectively analyzed clinical and laboratory data of 37,754 Korean adults (age, 20 to 89 years; 41% women) which were measured during regular health check-ups. After excluding subjects with previously diagnosed diabetes mellitus (n=1,812) and with overt anemia (n=318), 35,624 subjects (21,201 men and 14,423 women) were included in the analysis.

Results

Among the 35,624 subjects, 11,316 (31.8%) subjects were categorized as increased risk for diabetes (IRD) by fasting plasma glucose (FPG) criteria, 6,531 (18.1%) subjects by HbA1c criteria, and 13,556 (38.1%) subjects by combined criteria. Therefore, although HbA1c criteria alone identifies 42% [(11,316-6,531)/11,316] fewer subjects with IRD than does FPG criteria, about 20% [(13,556-11,316)/11,316] more subjects could be detected by including new HbA1c criteria in addition to FPG criteria. Among the 13,556 subjects with IRD, 7,025 (51.8%) met FPG criteria only, 2,240 (16.5%) met HbA1c criteria only, and 4,291 (31.7%) met both criteria. Among subjects with impaired fasting glucose, 65% were normal, 32% were IRD, and 3% were diabetes by HbA1c criterion. In receiver operating characteristic curve analysis, cutoff point of HbA1c with optimal sensitivity and specificity for identifying IRD was 5.4%.

Conclusion

Although HbA1c criteria alone identifies fewer subjects with IRD than does FPG criteria, about 20% more could be detected by addition of HbA1c criteria. Further studies are needed to define optimal cutoff point of HbA1c and to establish screening and management guidelines for IRD.

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