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

Author:

Deng Ruixue1,Chen Weijie2,Zhang Zepeng3,Zhang Jingzhou2,Wang Ying1,Sun Baichuan1,Yin Kai4,Cao Jingsi1,Fan Xuechun1,Zhang Yuan1,Liu Huan1,Fang Jinxu5,Song Jiamei1,Yu Bin1,Mi Jia6ORCID,Li Xiangyan7ORCID

Affiliation:

1. College of Traditional Chinese Medicine, Changchun University of Chinese Medicine , Changchun 130000, Jilin , China

2. College of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine , Changchun 130000, Jilin , China

3. Research Center of Traditional Chinese Medicine, College of Traditional Chinese Medicine, Changchun University of Chinese Medicine , Changchun 130000, Jilin , China

4. College of Integrated Chinese and Western Medicine, Changchun University of Chinese Medicine , Changchun 130000, Jilin , China

5. College of Acupuncture and Moxibustion Massage, Changchun University of Chinese Medicine , Changchun 130000, Jilin , China

6. Department of Endocrinology, The First Affiliated Hospital of Changchun University of Chinese Medicine , Changchun 130000, Jilin , China

7. Northeast Asia Research Institute of Traditional Chinese Medicine, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine , Changchun 130117, Jilin , China

Abstract

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.

Funder

The National Natural Science Foundation of China

Chinese Medicine Innovation Team talent Support Program of the State Administration of Traditional Chinese Medicine

Publisher

The Endocrine Society

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