Association of the triglyceride glucose-Chinese visceral adiposity index with incident cardiometabolic multimorbidity in middle-aged and older adults: a nationwide prospective cohort study.
Zheng W, Man Z, et al. • Cardiovascular diabetology • 2026
Both the baseline and cumulative TyG-CVAI are independent and nonlinear predictors of incident cardiometabolic multimorbidity, outperforming TyG or CVAI alone in middle-aged and older Chinese adults.
Key Findings
Results
Baseline TyG-CVAI showed a graded, positive association with incident cardiometabolic multimorbidity risk.
Cohort 1 consisted of 8,895 patients from the China Health and Retirement Longitudinal Study (CHARLS).
875 incident CMM cases were documented in Cohort 1 during follow-up.
Compared with the lowest quartile, the highest quartile of baseline TyG-CVAI was associated with a significantly increased CMM risk (HR = 1.93, 95% CI = 1.46–2.54).
A significant nonlinear relationship with threshold effects was observed (P for nonlinearity < 0.001).
Results
Cumulative TyG-CVAI showed a graded, positive association with incident cardiometabolic multimorbidity risk.
Cohort 2 consisted of 5,839 patients, with cumulative TyG-CVAI calculated as the average TyG-CVAI between baseline and the 2015 wave multiplied by the exposure time.
492 incident CMM cases were documented in Cohort 2 during follow-up.
Compared with the lowest quartile, the highest quartile of cumulative TyG-CVAI was associated with a significantly increased CMM risk (HR = 1.76, 95% CI = 1.22–2.53).
A significant nonlinear relationship with threshold effects was observed (P for nonlinearity < 0.001).
Results
Both baseline and cumulative TyG-CVAI demonstrated superior predictive ability for CMM compared with their individual components (TyG or CVAI alone).
Predictive performance was evaluated using receiver operating characteristic (ROC) curve analysis.
Both the baseline and cumulative TyG-CVAI had a larger area under the ROC curve than either TyG or CVAI individually.
Cox regression models were used to estimate hazard ratios, with nonlinearity assessed using restricted cubic splines.
Methods
Incident CMM was ascertained using a combination of self-reported physician diagnosis, medication use, and clinical data in a nationwide prospective cohort design.
Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS), a nationwide prospective cohort.
Two separate cohorts were constructed: Cohort 1 for baseline TyG-CVAI analysis and Cohort 2 for cumulative TyG-CVAI analysis.
The study population comprised middle-aged and older adults.
CMM was confirmed via self-reported physician diagnosis, medication use, and clinical data.
Background
Cardiometabolic multimorbidity is identified as a growing global health challenge for which early risk stratification tools are needed.
TyG-CVAI is described as an 'easily obtainable metric' that 'may enhance risk stratification and help identify high-risk individuals for early preventive intervention.'
Prior to this study, whether baseline or cumulative TyG-CVAI could predict incident CMM remained unclear.
The TyG-CVAI combines the triglyceride glucose index with the Chinese visceral adiposity index.
Zheng W, Man Z, Ren Y, Li Y, Zhu X, Wang L, et al.. (2026). Association of the triglyceride glucose-Chinese visceral adiposity index with incident cardiometabolic multimorbidity in middle-aged and older adults: a nationwide prospective cohort study.. Cardiovascular diabetology. https://doi.org/10.1186/s12933-026-03091-6