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Background: The extent of coronary artery disease (CAD) is a major determinant of prognosis in patients with myocardial infarction (MI). While structured exercise is known to be cardioprotective, the association between habitual daily physical activity and angiographic CAD extension remains insufficiently characterized. Methods: In this prospective observational study, 269 patients were hospitalized with acute MI underwent coronary angiography. Habitual daily physical activity during the four weeks preceding admission was assessed using 10-point self-reported daily preadmission effort questions to help the patients to report a final effort score. CAD extension was classified as single-, double- or triple-vessel disease. Differences in daily effort across CAD categories were evaluated using the Kruskal-Wallis test. Independent predictors of CAD extension were identified using ordinal logistic regression adjusted for age, sex, smoking, hypertension, diabetes mellitus, hyperlipidemia and body mass index. Results: Daily preadmission effort decreased progressively with increasing CAD severity (mean scores: 7.44 in single-vessel, 4.93 in double-vessel and 3.69 in triple-vessel disease; p < 0.0001). In multivariable ordinal logistic regression analysis, older age, hypertension, diabetes mellitus and hyperlipidemia were independently associated with greater CAD extension. Higher daily preadmission effort was strongly and independently associated with lower CAD severity; each one-point increase in effort score was associated with a 46% reduction in the odds of more extensive CAD (odds ratio 0.54, 95% confidence interval 0.45-0.64; p < 0.0001). Conclusions: Greater habitual daily physical activity prior to myocardial infarction is independently associated with less extensive coronary artery disease. Assessment of daily preadmission effort may provide clinically useful information regarding coronary disease burden and highlights the potential importance of everyday physical activity in cardiovascular prevention. These findings should be interpreted with caution given the use of a non-validated, self-reported measure of physical activity and the observational study design.