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Optimal Cut-Off Values of Visceral Fat Area for Predicting Metabolic Syndrome Among Type 2 Diabetes Patients in Ningbo, China

Authors Yang X, Lin Y, Xu G, Chen Y, Zhou Y, Sun J, Li L

Received 28 January 2021

Accepted for publication 2 March 2021

Published 25 March 2021 Volume 2021:14 Pages 1375—1383

DOI https://doi.org/10.2147/DMSO.S304164

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Juei-Tang Cheng


Xi Yang,1,* Yi Lin,2,* Guo-dong Xu,3 Yan-shu Chen,4 Ye Zhou,4 Jing Sun,5 Li Li4

1Department of Nutrition, Ningbo First Hospital, Ningbo, Zhejiang Province, People’s Republic of China; 2Center for Health Economics, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, Zhejiang Province, People’s Republic of China; 3Department of Medical Records Statistics, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang Province, People’s Republic of China; 4Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, People’s Republic of China; 5Menzies Health Institute Queensland and School of Medicine, Griffith University, Gold Coast, Queensland, Australia

*These authors contributed equally to this work

Correspondence: Li Li
Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, People’s Republic of China
  Tel +86 137 5742 6626
Email [email protected]

Objective: To examine the optimal cut-off values of visceral fat area (VFA) for predicting metabolic syndrome (MetS) among type 2 diabetes (T2D) patients in Ningbo China.
Methods: A total of 1017 subjects were selected from T2D patients who accepted standardized management by the National Standardized Metabolic Disease Management Center at Ningbo First Hospital from March 2018 to January 2020. Demography and medical information were collected through questionnaires. Regional adiposity was examined by a visceral fat analyzer using the dual bioelectrical impedance method.
Results: Overall, 769 (75.6%) T2D patients were defined to have MetS. Patients with MetS had higher anthropometric values and biomarkers, compared to those without MetS. VFA was significantly correlated with risk factors of MetS. Further logistic regression models showed that VFA was significantly associated with MetS in men (OR=1.02) and in women (OR=1.03) (P< 0.001 for both genders) after controlling for related factors. Receiver-operating characteristic curve analysis demonstrated that the optimal cut-off values of VFA were 84.7 cm2 for men and 81.1 cm2 for women to predict MetS in T2D patients.
Conclusion: VFA was associated with MetS and could be an independent predictor of MetS in T2D patients.
Clinical Trial Registration: www.ClinicalTrials.gov, number: NCT03811470.

Keywords: abdominal obesity, metabolic syndrome, visceral fat area, type 2 diabetes

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