Mary Beth Miller1, Eliza Van Reen2, David H Barker3, Brandy M Roane4, Brian Borsari5, John E McGeary6, Ronald Seifer2, Mary A Carskadon7. 1. Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-4, Providence, RI 02912, United States. Electronic address: millerme04@gmail.com. 2. Sleep for Science Research Lab, Brown University, 300 Duncan Drive, Providence, RI 02906, United States; Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, 1 Hoppin Street, Coro West Suite 204, Providence, RI 02903, United States. 3. Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, 1 Hoppin Street, Coro West Suite 204, Providence, RI 02903, United States; Sleep for Science Research Lab, Brown University, 300 Duncan Drive, Providence, RI 02906, United States. 4. Sleep for Science Research Lab, Brown University, 300 Duncan Drive, Providence, RI 02906, United States; Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, 1 Hoppin Street, Coro West Suite 204, Providence, RI 02903, United States; University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX 76107, United States. 5. San Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA 94121, United States. 6. Providence VA Medical Center, 830 Chalkstone Ave, Providence, RI 02908, United States; Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, 1 Hoppin Street, Coro West Suite 204, Providence, RI 02903, United States. 7. Sleep for Science Research Lab, Brown University, 300 Duncan Drive, Providence, RI 02906, United States; Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, 1 Hoppin Street, Coro West Suite 204, Providence, RI 02903, United States; School of Psychology, Social Work, and Social Policy, University of South Australia, Adelaide, South Australia, Australia.
Abstract
OBJECTIVE: Independent lines of research have documented links between psychiatric symptoms and poor sleep quality, psychiatric symptoms and alcohol use, and alcohol use and poor sleep quality. The current study examined the synergistic effect of poor sleep quality and psychiatric symptoms on alcohol-related consequences in heavy-drinking young adults. METHOD: Matriculating college students reporting at least one heavy drinking episode over the first nine weeks of the semester (N=385, 52% female) were categorized as experiencing 'good' (n=280) versus 'poor' sleep quality (n=105) and screening 'positive' (n=203) or 'negative' (n=182) for a psychiatric disorder. Sleep quality was assessed using the Pittsburgh Sleep Quality Index; psychiatric diagnosis was assessed using the Psychiatric Diagnostic Screening Questionnaire; and alcohol-related consequences were assessed using the Brief Young Adult Alcohol Consequences Questionnaire. General linear models were used to examine the main effects and interaction between sleep quality and psychiatric symptoms on alcohol-related consequences. RESULTS: Sleep quality moderated the association between psychiatric screen and alcohol-related consequences among heavy-drinking college students, such that psychiatric symptoms were associated with more alcohol-related consequences in the context of poor sleep quality. CONCLUSIONS: The combination of poor sleep quality and psychiatric symptoms is associated with increased alcohol-related consequences among heavy-drinking college students. Given the significant interaction between these symptoms, healthcare providers are encouraged to screen for the presence of sleep and psychiatric disorders among heavy-drinking young adults and to provide empirically-supported treatments as appropriate.
OBJECTIVE: Independent lines of research have documented links between psychiatric symptoms and poor sleep quality, psychiatric symptoms and alcohol use, and alcohol use and poor sleep quality. The current study examined the synergistic effect of poor sleep quality and psychiatric symptoms on alcohol-related consequences in heavy-drinking young adults. METHOD: Matriculating college students reporting at least one heavy drinking episode over the first nine weeks of the semester (N=385, 52% female) were categorized as experiencing 'good' (n=280) versus 'poor' sleep quality (n=105) and screening 'positive' (n=203) or 'negative' (n=182) for a psychiatric disorder. Sleep quality was assessed using the Pittsburgh Sleep Quality Index; psychiatric diagnosis was assessed using the Psychiatric Diagnostic Screening Questionnaire; and alcohol-related consequences were assessed using the Brief Young Adult Alcohol Consequences Questionnaire. General linear models were used to examine the main effects and interaction between sleep quality and psychiatric symptoms on alcohol-related consequences. RESULTS: Sleep quality moderated the association between psychiatric screen and alcohol-related consequences among heavy-drinking college students, such that psychiatric symptoms were associated with more alcohol-related consequences in the context of poor sleep quality. CONCLUSIONS: The combination of poor sleep quality and psychiatric symptoms is associated with increased alcohol-related consequences among heavy-drinking college students. Given the significant interaction between these symptoms, healthcare providers are encouraged to screen for the presence of sleep and psychiatric disorders among heavy-drinking young adults and to provide empirically-supported treatments as appropriate.
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