Journal of Diabetes Investigation (Mar 2022)

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

  • Dan Wang,
  • Rui Fang,
  • Haicheng Han,
  • Jidong Zhang,
  • Kaifei Chen,
  • Xiaoqing Fu,
  • Qinghu He,
  • Yong Yang

DOI
https://doi.org/10.1111/jdi.13685
Journal volume & issue
Vol. 13, no. 3
pp. 543 – 551

Abstract

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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.

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