1130 FACTORS PREDICTING SLEEP DISTURBANCES IN OPIOID-DEPENDENT SUBJECTS ON BUPRENORPHINE

Abstract

Sleep disturbances are common in opioid use disorder and can lead to relapse. Buprenorphine is regularly used in the treatment of opioid use disorders with a recent federal mandate to increase its availability for this purpose. However, the prevalence of sleep disorders and factors predicting sleep disturbance in opioid-use disorders on buprenorphine (OUDs) are largely unknown. The aim of this study is to evaluate the sociodemographic and clinical correlates predicting sleep disturbances in OUDs. OUDs (n=91) were recruited from a buprenorphine maintenance program in central Pennsylvania. Subjects completed a sociodemographic survey and the Pittsburgh Sleep Quality Index (PSQI). Subjects were divided into two groups based on a PSQI total score of ≤5 (indicating normal sleep quality) or PSQI >5 (indicating poor sleep quality). We used chi-square tests, t-tests, and Mann-Whitney U tests to compare demographics, sleep disturbances, and PSQI composite scores between the groups. Stepwise logistic regression analysis using forward selection evaluated the likelihood that subjects have normal (PSQI ≤ 5) or poor sleep quality (PSQI > 5) as dependent variable and sociodemographic data, depression, anxiety, number of rehab admissions, change in sleep with buprenorphine treatment, and durations of opioid dependence, abstinence, and buprenorphine treatment as independent variables. PSQI scores > 5 were seen in 71/91 (78%) subjects. The PSQI > 5 group had prolonged sleep latency (SL), decreased total sleep time (TST) and sleep efficiency (SE), and higher PSQI composite scores for SL, TST, SE, sleep quality, sleep disturbance, daytime dysfunction, and sleep medication need. Logistic regression analysis showed that patients with more severe anxiety (OR=2.9), older age (odds ratio=1.1) and fewer rehab admissions (OR=0.8) were more likely to have poor sleep quality. Specific sleep issues are highly prevalent in ODS, warranting clinical attention. Severity of anxiety, older age and fewer rehab admissions may predict poor sleep quality in OUDs. Department of Psychiatry, Penn State College of Medicine.