Key result
Higher cumulative average Cardiometabolic Index linked to ~11% greater incident CVD risk.
Why the study?
Does a higher cumulative average Cardiometabolic Index (CMI) predict the incidence of cardiovascular diseases in middle-aged and elderly adults?
Cohort (n=5,100)
Yes
Does a higher cumulative average Cardiometabolic Index (CMI) predict the incidence of cardiovascular diseases in middle-aged and elderly adults?
The Cardiometabolic Index is a significant, independent predictor of incident cardiovascular disease in middle-aged and elderly adults, with inflammation partially mediating this risk.
Answers are grounded in this paper and cite their sources.
May inform CVD risk stratification in middle-aged and elderly adults; hypothesis-generating and should not yet change practice.
The Cardiometabolic Index (CMI) is a novel metabolic-related index. This study aims to explore the relationship between the cumulative average CMI and the incidence of cardiovascular diseases (CVD) in the middle-aged and elderly adults using data from the China Health and Retirement Longitudinal Study (CHARLS). This study utilized longitudinal data from CHARLS from 2011 to 2015. During the follow-up period, the occurrence of stroke or related cardiovascular events was classified as incident CVD. Our analytical strategy involved applying the Cox proportional hazards model to investigate the relationship between CMI and the risk of CVD. We used restricted cubic splines (RCS) to identify potential nonlinear relationships and conducted mediation analysis to explore the role of inflammatory factors in the relationship between the cumulative average CMI and CVD. A total of 5,100 participants were included in our analyses for CVD, with a mean age of 58.64 ± 8.78 years. During an average follow-up of 3.84 ± 0.57 years, a total of 510 participants developed incident CVD, resulting in an incidence rate of 10%. There was a significant association between the cumulative average CMI and the incidence of CVD (HR = 1.109, 95% CI = 1.029–1.196). The transition status of CMI was similarly significantly correlated with the incidence of CVD (Q1 to Q3: HR = 1.666, 95%CI: 1.052–2.6378; Q2 to Q3: HR = 1.945, 95%CI: 1.272–2.973; Q2 to Q4: HR = 1.900, 95%CI: 1.143–3.1578; Q3 to Q4: HR = 2.170, 95%CI: 1.447–3.2534). RCS analysis revealed significant nonlinear association between the cumulative average CMI and the incidence of CVD. (P-overall = 0.002, P-non-linear = 0.014). Mediation analysis indicated that White blood cells mediated 10.30% of the association between CMI and the incidence of CVD. Cumulative average CMI was significantly associated with each of the four comorbidities of CVD: hypertension (HR = 1.144, 95% CI = 1.033–1.268), dyslipidemia (HR = 1.282, 95% CI = 1.150–1.428), diabetes (HR = 1.182, 95% CI = 1.025–1.364), and liver disease (HR = 1.306, 95% CI = 1.048–1.627). Our study demonstrates a significant association between CMI and the incidence of CVD in middle-aged and elderly individuals. CMI is a novel and valuable indicator that can be used to predict the occurrence of cardiovascular diseases.
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Peng et al. (2026) conducted a cohort in Cardiovascular disease incidence (n=5,100). Cumulative average Cardiometabolic Index (CMI) vs. Lower CMI levels was evaluated on Incidence of cardiovascular diseases (CVD) (HR 1.109, 95% CI 1.029-1.196). A higher cumulative average Cardiometabolic Index was associated with an increased risk of incident cardiovascular disease in middle-aged and older adults.
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