Association between visceral adiposity index and risk of prediabetes: A meta‐analysis of observational studies

• Published in: Journal of diabetes investigation 2022-03, Vol.13 (3), p.543-551
• Main Authors: Wang, Dan, Fang, Rui, Han, Haicheng, Zhang, Jidong, Chen, Kaifei, Fu, Xiaoqing, He, Qinghu, Yang, Yong
• Format: Article
• Language: English
• Subjects: Adipose tissue; Adiposity; Asymmetry; Body mass index; Cardiovascular disease; Cohort Studies; Cross-Sectional Studies; Diabetes; Epidemiology; Gender; Glucose; Hemoglobin; Humans; Intra-Abdominal Fat; Meta-analysis; Metabolism; Obesity; Observational studies; Observational Studies as Topic; Original; Prediabetes; Prediabetic State - epidemiology; Risk Factors; Systematic review; Triglycerides; Visceral adipose index
• ISSN: 2040-1116; 2040-1124; 2040-1124
• DOI: 10.1111/jdi.13685

ABSTRACT Background and Objective Epidemiological studies suggested that the association between the visceral adiposity index (VAI) and the risk of prediabetes is inconsistent. Whether VAI is a useful predictor of prediabetes remains unclear. Up until April 2021, there had been no systematic review on this topic. In this meta‐analysis, the available observational epidemiological evidence was synthesized to identify the association between VAI and prediabetes risk. Methods PubMed, EMBASE, and Cochrane databases in any language were searched systematically from the earliest available online indexing year to April 2021 for relevant observational studies published on the association between VAI and the risk of prediabetes. A random effects model was used to combine quantitatively the odds ratios (ORs) and 95% confidence intervals (CIs). Results Ten relevant studies (2 cohort study, 2 case‐control studies, and 6 cross‐sectional studies) involving 112,603 participants were identified. Compared with the highest VAI, the lowest level of VAI was associated with an increased risk of prediabetes. The pooled OR of VAI for prediabetes was 1.68 (95% CI: 1.44–1.96), with significant heterogeneity across the included studies (P = 0.000, I2 = 91.4%). Exclusion of any single study did not materially alter the combined risk estimate. Conclusions Integrated epidemiological evidence supports the hypothesis that VAI is a lipid combined anthropometric index and may be a risk factor for prediabetes. VAI may be related to a high risk of prediabetes. However, it should be noted that the included studies have a publication bias and there was significant heterogeneity between our pooled estimate. The present manuscript focuses on whether VAI is a useful predictor of prediabetes. Integrated epidemiological evidence supports the hypothesis that VAI is a lipid combined anthropometric index and may be a risk factor for prediabetes. VAI is significantly related to a high risk of prediabetes.