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Aim Healthy lifestyle behaviors and a good adherence to pharmacological treatments are important predictors of lower recurrence rates and better overall outcomes among patients with an established acute coronary syndrome (ACS). The present study sought to investigate the longitudinal trajectories of these behaviors years after the onset of an ACS. Subject and methods We recruited a sample of 275 newly diagnosed consecutive patients at their first ACS event (mean age: 57.1 ± 7.87 years; 84% males) admitted to a cardiac rehabilitation program from three large public hospitals in Northern Italy. Patients completed a battery of sociodemographic questionnaires, which evaluated healthy lifestyles (smoking status, alcohol intake, diet, and physical activity) and adherence to pharmacological treatments, at five time-points (pre-event, 6-, 12-, 24-, and 36-month follow-ups). Longitudinal trajectories were examined through hierarchical (generalized) linear models, controlling for several demographic and clinical variables. Results We found significant changes in all healthy lifestyles from pre-event to the 6-month follow-up, suggesting the adoption of healthier behaviors soon after the cardiac event. However, from the 6-month up to the 3-year follow-up, patients experienced small but significant declines in their self-reported levels of healthy dietary behaviors and physical activity. Further, we found that the odds of being at medium risk of non-adherence to the pharmacological treatments significantly increased over the course of 3 years. Conclusion Given the negative long-term trajectories in specific lifestyles and adherence to pharmacological treatments, cardiac rehabilitation programs are suggested to provide repeated psychological interventions aimed at fostering patients’ capabilities to self-regulate their habitual behaviors.

zeitschrift für gesundheitswissenschaften/journal of public health

A three-year longitudinal study of healthy lifestyle behaviors and adherence to pharmacological treatments in newly diagnosed patients with acute coronary syndrome: hierarchical linear modeling analyses