Cardiometabolic index and cardiovascular disease incidence in middle-aged and older Chinese: A nationwide prospective

Yajie Wu1, Chunhua Liu, Tingting Wang

  • 1Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang University of Chinese Medicine, Lishui, Zhejiang, China.

Medicine
|March 6, 2026
PubMed

Insights

The cardiometabolic index (CMI) predicts cardiovascular disease (CVD) risk in Chinese adults. Higher CMI levels significantly correlate with increased CVD incidence, showing a nonlinear risk increase over time.

Area of Science:

  • Cardiology
  • Metabolic Health
  • Epidemiology

Background:

  • Cardiovascular disease (CVD) is a leading cause of mortality globally.
  • The cardiometabolic index (CMI), combining lipid metabolism and central obesity, has an uncertain role in CVD prediction.
  • Evaluating novel risk predictors like CMI is crucial for public health.

Purpose of the Study:

  • To assess the association between the cardiometabolic index (CMI) and incident cardiovascular disease (CVD) in a Chinese adult population.
  • To investigate potential nonlinear relationships and effect modifications in the CMI-CVD association.

Main Methods:

  • A cohort of 7830 Chinese adults (aged ≥45 years) without baseline CVD was followed for 7 years.
  • CMI was calculated using waist circumference, height, triglycerides, and high-density lipoprotein cholesterol.
  • Multivariable logistic regression and restricted cubic spline models analyzed CMI's association with incident CVD.

Main Results:

  • Higher CMI was significantly associated with increased CVD risk (OR=1.39, 95% CI: 1.11-1.96).
  • A nonlinear relationship was observed, with CVD risk rising disproportionately with higher CMI levels (P for nonlinearity = .002).
  • Effect modification was noted for diabetes status and alcohol consumption.

Conclusions:

  • The cardiometabolic index (CMI) is a valuable predictor of incident cardiovascular disease (CVD) in middle-aged and older Chinese adults.
  • A nonlinear, increasing risk pattern highlights the importance of monitoring CMI for CVD prevention.
  • Further research should explore CMI's clinical utility in diverse populations.

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