Gender-specific correlates of nonmedical use of prescription medications in a diverse primary care sample.

BACKGROUND:Nonmedical use of prescription medications (NUPM) is a growing problem but little is known about its gender-specific mechanisms despite NIDA's call for gender-stratified research over a decade ago. We explored gender differences in NUPM in a diverse sample of primary care patients. METHODS:N = 4458 participants participated in an anonymous health survey in urban primary care clinics. The primary outcome was past month NUPM. All analyses were stratified by gender. Bivariate relationships among NUPM and demographic, medical, psychological, and substance use-related variables were analyzed. Stepwise multivariate logistic regression models (LRMs) were estimated by gender. RESULTS:More men (9.5%) reported NUPM than women (7.4%). The final LRM among men included age (OR=0.98), race (OR=0.49), chronic pain diagnosis (OR=1.73), hepatitis (OR=1.78), depression diagnosis (OR=1.77), positive alcohol misuse screen (OR=1.58), and mood disturbance (OR=1.04). Among women, the model included mood disturbance (OR=1.04), illicit drug use (OR=2.22), family history of drug problems (OR=1.41), and heart disease diagnosis (OR=0.48). Effect sizes ranged from small to moderate. CONCLUSIONS:Among a sample of primary care patients, gender-stratified analyses indicated differential presentation of NUPM by gender. Demographic factors were more relevant correlates among men, with younger, White men at higher risk. Chronic pain and depression were more notable risk factors for men. Recent illicit drug use and family history of drug problems were uniquely associated among women, while recent distress was a strong correlate among both men and women. A better understanding of gender-specific correlates of NUPM can inform gender-tailored prevention and treatment efforts.