Key result
Composite CHG-obesity indices linked to ~17% higher incident CVD risk per SD.
Why the study?
Although the CHG index and obesity-related indicators separately predict metabolic risks, the predictive value of their composite indices and longitudinal trajectories for incident CVD was unexplored.
Do baseline levels, cumulative exposures, and longitudinal trajectories of composite CHG and refined obesity indices improve the prediction of incident cardiovascular disease in middle-aged and elderly Chinese adults?
Cohort (n=4,164)
Yes
Do baseline levels, cumulative exposures, and longitudinal trajectories of composite CHG and refined obesity indices improve the prediction of incident cardiovascular disease in middle-aged and elderly Chinese adults?
Longitudinal trajectories and cumulative exposures of composite lipid-glucose-obesity (CHG-ROD) indices independently predict incident cardiovascular disease and significantly improve risk stratification when added to the Framingham Risk Score.
Answers are grounded in this paper and cite their sources.
CHG-obesity indices may enhance Framingham-based CVD risk stratification; extends prior metabolic data but leaves clinical adoption open pending trials.
BACKGROUND: Insulin resistance and central adiposity are key drivers of cardiovascular disease (CVD). Although the CHG index and obesity-related indicators can separately predict metabolic risks, this study explored the predictive value of their composite indices and longitudinal trajectories for incident CVD. METHODS: Based on 4164 middle-aged and elderly participants from a national prospective cohort, we analyzed baseline levels, cumulative exposures and K-means-defined longitudinal trajectories of CHG-related composite indices. Cox regression, ROC analysis, and weighted quantile sum regression were adopted to explore CVD associations and predictive efficiency. RESULTS: During an 8-year median follow-up, 22.14% of participants developed CVD. Elevated baseline values, increased cumulative exposure, and unfavorable trajectories of composite indices were linked to higher CVD risk. Per 1-SD rise in baseline CHG-WC and CHG-CVAI corresponded to 19% and 17% higher CVD risk, respectively. Their addition produced statistically significant improvements in predictive performance and risk stratifying capacity of the Framingham Risk Score, as further supported by NRI and IDI analyses. CONCLUSION: Longitudinal trajectories and cumulative exposures of CHG-obesity composite indices serve as reliable independent predictors of CVD. Dynamic monitoring of these indicators facilitates early CVD risk stratification.
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Xia et al. (2026) conducted a cohort in Cardiovascular disease risk in middle-aged and elderly adults (n=4,164). Composite cholesterol-high-density lipoprotein-glucose and refined obesity derivative (CHG-ROD) indices (baseline levels, cumulative exposures, and longitudinal trajectories) vs. Lowest quartile (Q1) or well-controlled trajectory pattern (Cluster 1) was evaluated on Incident cardiovascular disease (composite of self-reported doctor-diagnosed heart disease and stroke) (HR 1.17, 95% CI 1.09-1.26, p=<0.001). Composite CHG-obesity indices independently predicted incident CVD over 8 years, with each 1-SD increase in baseline CHG-CVAI (HR 1.17, 95% CI 1.09-1.26) and CHG-WC (HR 1.17) increasing risk.
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