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. 2022 Nov 18:13:1016581.
doi: 10.3389/fendo.2022.1016581. eCollection 2022.

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Yuting Duan  1   2 , Weiguang Zhang  2 , Zhe Li  1   2 , Yue Niu  2 , Yizhi Chen  3 , Xiaomin Liu  2 , Zheyi Dong  2 , Ying Zheng  2 , Xizhao Chen  2 , Zhe Feng  2 , Yong Wang  2 , Delong Zhao  2 , Qiu Liu  2 , Hangtian Li  2 , Huifang Peng  1 , Xuefeng Sun  2 , Guangyan Cai  2 , Hongwei Jiang  1 , Xiangmei Chen  2
Affiliations

Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults

Yuting Duan et al. Front Endocrinol (Lausanne). .

Abstract

Background and objective: Metabolic syndrome (MetS) is an important risk factor for cardiovascular complications and kidney damage. Obesity- and lipid-related indices are closely related to MetS, and different indices have different predictive abilities for MetS. This study aimed to evaluate the predictive value of eight obesity- and lipid-related indicators, namely, body mass index (BMI), lipid accumulation product (LAP), body roundness index (BRI), Chinese visceral adiposity index (CVAI), body adiposity index (BAI), abdominal volume index (AVI), triglyceride glucose index (TYG), and visceral adiposity index (VAI), for MetS.

Methods: A total of 1,452 relatively healthy people in Beijing were enrolled in 2016, and the correlation between the eight indicators and MetS was analyzed by multivariate logistic regression. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to analyze the predictive ability of the eight indicators for MetS. The Delong test was used to compare the AUC values of the eight indicators. MetS was defined according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 edition), the revised National Cholesterol Education Program Adult Treatment Group (NCEP-ATPIII), and the International Diabetes Federation (IDF).

Results: Using these three sets of criteria, LAP, TYG, CVAI, and VAI, which are based on blood lipids, had higher AUC values for MetS prediction than BMI, BRI, AVI, and BAI, which are based on anthropometry. LAP had the highest AUC values of 0.893 (0.874-0.912), 0.886 (0.869-0.903), and 0.882 (0.864-0.899), separately, based on the three sets of criteria.

Conclusion: The eight obesity- and lipid-related indicators had screening value for MetS in relatively healthy people, and of the eight indicators, LAP performed the best.

Keywords: adults; healthy; lipid; lipid accumulation product; metabolic syndrome; obesity.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Comparison of the diagnostic values of BMI, LAP, BRI, CVAI, BAI, AVI, TYG, and VAI in predicting metabolic syndrome using three criteria in a relatively healthy Chinese population. (A) Chinese (2020 edition) criteria; (B) NCEP-ATPIII criteria; (C) IDF criteria. Chinese (2020) criteria: (D) obesity- and lipid-related indices for a relatively healthy Chinese population, men; (E) obesity- and lipid-related indices for a relatively healthy Chinese population, women. NCEP-ATPIII criteria: (F) obesity- and lipid-related indices for a relatively healthy Chinese population, men; (G) obesity- and lipid-related indices for a relatively healthy Chinese population, women. IDF criteria: (H) obesity- and lipid-related indices for a relatively healthy Chinese population, men; (I) obesity- and lipid-related indices for a relatively healthy Chinese population, women.
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