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Meta-Analysis
. 2024 Sep 16;109(10):2692-2707.
doi: 10.1210/clinem/dgae303.

Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis

Ruixue Deng  1 , Weijie Chen  2 , Zepeng Zhang  3 , Jingzhou Zhang  2 , Ying Wang  1 , Baichuan Sun  1 , Kai Yin  4 , Jingsi Cao  1 , Xuechun Fan  1 , Yuan Zhang  1 , Huan Liu  1 , Jinxu Fang  5 , Jiamei Song  1 , Bin Yu  1 , Jia Mi  6 , Xiangyan Li  7
Affiliations
Meta-Analysis

Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis

Ruixue Deng et al. J Clin Endocrinol Metab. .

Abstract

Content: The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial.

Objective: This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes.

Data sources: The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023.

Study selection: After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed.

Data extraction: We extracted odds ratio (OR) between VAI and diabetes management after controlling for mixed factors, and the sensitivity, specificity, and diagnostic 4-grid table for early prediction of diabetes.

Data synthesis: Fifty-three studies comprising 595 946 participants were included. The findings of the meta-analysis elucidated that in cohort studies, a high VAI significantly increased the risk of diabetes mellitus in males (OR = 2.83 [95% CI, 2.30-3.49]) and females (OR = 3.32 [95% CI, 2.48-4.45]). The receiver operating characteristic, sensitivity, and specificity of VAI for early prediction of diabetes in males were 0.64 (95% CI, .62-.66), 0.57 (95% CI, .53-.61), and 0.65 (95% CI, .61-.69), respectively, and 0.67 (95% CI, .65-.69), 0.66 (95% CI, .60-.71), and 0.61 (95% CI, .57-.66) in females, respectively.

Conclusion: VAI is an independent predictor of the risk of diabetes, yet its predictive accuracy remains limited. In future studies, determine whether VAI can be used in conjunction with other related indicators to early predict the risk of diabetes, to enhance the accuracy of prediction of the risk of diabetes.

Keywords: VAI; diabetes mellitus; meta-analysis; systematic review.

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Figures

Figure 1.
Figure 1.
Literature screening flowchart.
Figure 2.
Figure 2.
Forest plot of the meta-analysis of ORs for the correlation between high VAI and DM risk in cohort studies.
Figure 3.
Figure 3.
Sensitivity analysis and funnel plot for publication bias of the relationship between high level of VAI and diabetes in cohort studies.
Figure 4.
Figure 4.
Forest plot of the meta-analysis of ORs for the correlation between high VAI and DM risk in cross-sectional studies and case-control studies.
Figure 5.
Figure 5.
Sensitivity analysis and funnel plot for publication bias of the relationship between high level of VAI and diabetes in cross-sectional or case-control studies.
Figure 6.
Figure 6.
Forest plot of ROC AUC for the correlation between high VAI and DM in males in cohort studies.
Figure 7.
Figure 7.
Forest plot of ROC AUC for the correlation between high VAI and DM in females in cohort studies.
Figure 8.
Figure 8.
Forest plot of ROC AUC for the correlation between high VAI and DM without distinguishing by gender in cohort studies.
Figure 9.
Figure 9.
Forest plot of sensitivity and specificity meta-analysis for the correlation between high VAI and DM in males in cohort studies.
Figure 10.
Figure 10.
Forest plot of sensitivity and specificity meta-analysis for the correlation between high VAI and DM in females in cohort studies.
Figure 11.
Figure 11.
Forest plot of sensitivity and specificity meta-analysis for the correlation between high VAI and DM without distinguishing by gender in cohort studies.
See this image and copyright information in PMC

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