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Usefulness of four surrogate indexes of insulin resistance in middle-aged population in Hefei, China

Authors :
Rui Huang
Zi Cheng
Xingyi Jin
Xuemin Yu
Jinhui Yu
Yunpeng Guo
Li Zong
Jie Sheng
Xing Liu
Sufang Wang
Source :
Annals of Medicine, Vol 54, Iss 1, Pp 622-632 (2022)
Publication Year :
2022
Publisher :
Taylor & Francis Group, 2022.

Abstract

Objective Previous study have shown that lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C) and triglycerides/glucose index (TyG index) could be simple clinical indicators of insulin resistance (IR) based on anthropometric and/or biochemical parameters. However, the rational and preferred surrogate marker of IR in different population has yet to be validated. The aim of this study was evaluating the practicability of the LAP, VAI, TG/HDL-C, and TyG in predicting IR in middle-aged Chinese population. Methods A cross-sectional study was conducted in 569 Chinese participants (mean age was 48.5; man 67.7%), and each participant completed a questionnaire survey, anthropometric measurement, and biochemical testing. One-way ANOVAs, Chi-squared test, Pearson’s correlation, and multiple logistic regression were used to evaluate the association between VAI, LAP, TG/HDL-C, and TyG with IR. To correctly discriminate individuals with insulin resistance, a receiver operating characteristic (ROC) analysis was conducted for each evaluated variable and the overall diagnostic accuracy was quantified using the area under the ROC curve (AUC). The AUC of evaluated variables were compared using a nonparametric approach. The optimal cut-off points were determined by the Youden’s index, and the corresponding sensitivity and specificity were provided. Results Significant positive correlation was identified between HOMA-IR with TG/HDL-C (r = 0.306), VAI (r = 0.217), LAP (r = 0.381), and TyG (r = 0.371), respectively (all p

Details

Language :
English
ISSN :
07853890 and 13652060
Volume :
54
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Annals of Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.51659bafcccf4b3881c71f31fb317d59
Document Type :
article
Full Text :
https://doi.org/10.1080/07853890.2022.2039956