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October 23, 2025Scientific ReportsOpen Access

Development, testing and comparison of novel lifestyle-based prediction models for risk of coronary heart disease

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Analysis of lifestyle and polygenic risk scores for coronary heart disease in 291,151 individuals suggests improved models for risk prediction.

CHD risk prediction improved by integrating lifestyle-based models and genetic data.
The C-index for the lifestyle-based model reached 0.733, outperforming standard prediction equations.
A Cox regression analysis determined the influence of body mass index and physical activity on CHD risk.
Calibration metrics indicated strong performance and potential for wider application in cardiovascular risk assessment.

Shi et al. (2025) studied this question.

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Analysis of lifestyle and polygenic risk scores for coronary heart disease in 291,151 individuals suggests improved models for risk prediction.