Visceral adiposity index as a predictor for type 2 diabetes mellitus in Asian population: A systematic review

被引:39
作者
Nusrianto, Randy [1 ]
Tahapary, Dicky L. [2 ,3 ]
Soewondo, Pradana [2 ,3 ]
机构
[1] Univ Indonesia, Fac Med, Dr Cipto Mangunkusumo Natl Gen Hosp, Dept Internal Med, Cent Jakarta, Indonesia
[2] Univ Indonesia, Fac Med, Dr Cipto Mangunkusumo Natl Gen Hosp, Div Endocrinol & Metab,Dept Internal Med, Jl Salemba Raya 6, Cent Jakarta 10430, Indonesia
[3] Univ Indonesia, Fac Med, Indonesian Med Educ & Res Inst, Metab Cardiovasc & Aging Cluster, Cent Jakarta, Indonesia
关键词
Visceral adiposity index; Visceral adipose tissue; Type 2 diabetes mellitus; Predictor; Asia; ETHNIC-DIFFERENCES;
D O I
10.1016/j.dsx.2019.01.056
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Visceral Adiposity Index (VAI) is a formula to estimate visceral fat accumulation which has been reported to have a better prediction for type 2 diabetes mellitus (T2DM) in Caucasian population. This systematic review is proposed to inquire whether VAI can be used as a predictor of T2DM in Asian population with different body composition compared to the Caucasian. Methods: All studies performed in Asia and published in English on VAI prediction on the incidence of T2DM were included. The search keywords used in Pubmed and Cochrane database were visceral adiposity index, VAI and T2DM. Results: Seven included studies, of which six studies were conducted in China and one in Iran. Four studies were prospective cohorts and the other three were cross-sectional. The largest study population were 7639 subjects, while the longest observation period was 15 years. This study found that VAI can be used as a predictor of T2DM in Asian population with better prediction values compared to Caucasian population. The reported odds ratio or hazard ratio ranged from 1.2 to 3.6. Conclusions: VAI is a practical formula used to estimate the accumulation of visceral fat which can be used as a predictor for T2DM in Asian population. (c) 2019 Diabetes India. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1231 / 1235
页数:5
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