Lifestyle factors as predictors of nonadherence to statin therapy among patients with and without cardiovascular comorbidities.

BACKGROUND

Easily detectable predictors of nonadherence to long-term drug treatment are lacking. We investigated the association between lifestyle factors and nonadherence to statin therapy among patients with and without cardiovascular comorbidities.

METHODS

We included 9285 participants from the Finnish Public Sector Study who began statin therapy after completing the survey. We linked their survey data with data in national health registers. We used prescription dispensing data to determine participants' nonadherence to statin therapy during the first year of treatment (defined as < 80% of days covered by filled prescriptions). We used logistic regression to estimate the association of several lifestyle factors with nonadherence, after adjusting for sex, age and year of statin initiation.

RESULTS

Of the participants without cardiovascular comorbidities (n = 6458), 3171 (49.1%) were nonadherent with their statin therapy. Obesity (adjusted odds ratio [OR] 0.86, 95% confidence interval [CI] 0.74-0.99), overweight (adjusted OR 0.88, 95% CI 0.79-0.98) and former smoking (adjusted OR 0.82, 95% CI 0.74-0.92) predicted a reduced risk of nonadherence in this group after adjustment for sex, age and year of statin initiation. Of the participants with cardiovascular comorbidities (n = 2827), 1155 (40.9%) were nonadherent. In this group, high alcohol consumption (adjusted OR 1.55, 95% CI 1.12-2.15), extreme drinking occasions (adjusted OR 1.48, 95% CI 1.11-1.97) and a cluster of 3-4 lifestyle risks (adjusted OR 1.61, 95% CI 1.15-2.27) predicted increased odds of nonadherence after adjustment for sex, age and year of statin initiation.

INTERPRETATION

People with cardiovascular comorbidities who had risky drinking behaviours or a cluster of lifestyle risks were at increased risk of nonadherence. Among individuals without cardiovascular comorbidities, information on lifestyle factors was unhelpful in identifying those at increased risk of nonadherence; that overweight, obesity and former smoking were predictors of better adherence in this group provides insight into mechanisms of adherence to preventive medication that deserve further study.