Key result
Lifestyle factors account for ~49% of early-onset MI, far exceeding metabolic risks.
Why the study?
Early-onset myocardial infarction (EOMI) incidence is rising globally, and while modifiable risk factors are common in young patients, the relative contribution of lifestyle versus metabolic risk factors to EOMI remains inadequately quantified.
What is the relative contribution of composite unhealthy lifestyle versus metabolic risk factors to early-onset myocardial infarction (EOMI) risk in adults aged 35-45 years in China?
Case-Control (n=9,519)
Yes
What is the relative contribution of composite unhealthy lifestyle versus metabolic risk factors to early-onset myocardial infarction (EOMI) risk in adults aged 35-45 years in China?
Answers are grounded in this paper and cite their sources.
Unhealthy lifestyle behaviors (smoking, alcohol consumption, physical inactivity) contribute to nearly half of early-onset myocardial infarction cases in young Chinese adults, representing a substantially greater population-attributable burden than metabolic risk factors.
Background and Aims Early-onset myocardial infarction (EOMI) incidence is rising globally. While modifiable risk factors are common in young patients, the reversible nature of lifestyle factors offers a distinct preventive opportunity compared to metabolic factors. However, the relative contribution of lifestyle versus metabolic risk factors to EOMI remains inadequately quantified. This study compared the impact of composite unhealthy lifestyle versus metabolic risk factors on EOMI risk. Methods This case-control study matched 2,957 EOMI patients (aged 35-45 years) from the China Acute Myocardial Infarction (CAMI) registry with 6,562 controls from the Prospective Urban Rural Epidemiology (PURE)-China study (1:5 matching). Multivariable conditional logistic regression and population attributable fractions (PAFs) were used to evaluate and compare lifestyle (current smoking, alcohol consumption, lack of regular physical exercise) and metabolic factors (hypertension, diabetes, hyperlipidemia) with EOMI. Results The study included 2,957 EOMI cases and 6,562 matched controls. All six examined modifiable risk factors were independently associated with increased odds of EOMI. Collectively, they accounted for 61.0% (95% CI: 57.0%-65.1%) of EOMI cases. Notably, the combined PAF for lifestyle risk factors (49.0%; 95% CI: 44.8%-53.1%) substantially exceeded that of metabolic risk factors (18.8%; 95% CI: 16.5%-21.1%). Risk profiles and attributable burdens differed by sex and AMI subtype. Conclusion Modifiable risk factors—particularly lifestyle behaviors—are the predominant contributors to EOMI. They exhibit a significantly greater population-attributable risk than metabolic factors, especially among young men, highlighting a critical window for behavioral prevention.
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Zhu et al. (2026) conducted a case-control in Early-onset myocardial infarction (EOMI) (n=9,519). Composite unhealthy lifestyle risk factors (current smoking, alcohol consumption, lack of regular physical exercise) vs. Metabolic risk factors (hypertension, diabetes, hyperlipidemia) was evaluated on Population attributable fraction (PAF) for early-onset myocardial infarction (EOMI) (PAF 49.0%, 95% CI 44.8%-53.1%). Lifestyle risk factors contributed a greater population attributable fraction to early-onset MI (49.0%; 95% CI 44.8%-53.1%) than metabolic risk factors (18.8%; 95% CI 16.5%-21.1%).
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