Affiliation:
1. Department of Cardiology Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
2. Department of Endocrinology Beijing Chao‐Yang Hospital Capital Medical University Beijing China
Abstract
AbstractAimsInsulin resistance (IR) is associated with cardiometabolic multimorbidity (CMM). We aimed to explore the predictive value of six surrogate IR indexes—Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), triglyceride‐glucose (TyG), atherogenic index of plasma (AIP), TyG‐body mass index (TyGBMI), and TyG‐waist circumference (TyGwaist)—to establish the CMM incidence in Chinese middle‐aged and older populations.Material and MethodsTo estimate the odds ratio (OR) with a 95% confidence interval (95% CI) for incident CMM using six surrogates, we analysed data from the China Health and Retirement Longitudinal Study using multivariate logistic regression models. The nonlinear dose‐response correlation was evaluated using restricted cubic spline analysis; predictive performance was assessed using receiver operator characteristic curves.ResultsAmong 6451 eligible participants, 268 (4.2%) developed CMM during the 4‐year follow‐up period. The ORs (95% CI) for incident CMM increased with increasing CVAI quartiles (Q) [Q2: 1.71, 1.03–2.90; Q3: 2.72, 1.70–4.52; Q4: 5.16, 3.29–8.45; all p < 0.05] after full adjustment, with Q1 as the reference. Other indexes yielded similar results. These associations remained significant in individuals with a normal body mass index. Notably, CVAI, AIP, and TyG exhibited a linear dose‐response relationship with CMM (Pnonlinear ≥0.05), whereas LAP, TyGBMI, and TyGwaist displayed significant nonlinear correlations (Pnonlinear <0.05). The area under the curve for the CVAI (0.691) was significantly superior to that of other indexes (all p < 0.05).ConclusionsThe six IR surrogates were independently associated with CMM incidence. CVAI may be the most appropriate indicator for predicting CMM in middle‐aged and older Chinese populations.
Funder
National Natural Science Foundation of China
Cited by
4 articles.
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