Articlegreen2014

Variations in sleep characteristics and sleep-related impairment in at-risk college drinkers: A latent profile analysis.

50 citations0/0 files storedHealth Psychology

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Abstract

OBJECTIVE: Sleep disturbance and heavy drinking increase risk of negative consequences in college students. Limited research exists on how they act synergistically, and the overall nature of sleep and sleep-related impairment in college student drinkers is poorly understood. A latent profile analysis was conducted on the sleep characteristics and daytime sleep-related consequences of college student drinkers who were at-risk based on Alcohol Use Disorders Identification Test-Consumption scores. METHODS: Participants (N = 312, mean age = 18.90 (0.97) years) consumed a mean (SD) of 20.93 (13.04) drinks per week. Scores on the 10 items of the Sleep/Wake Behavior Problems Scale (SWPS) were the class indicators. RESULTS: Four classes best described the sleep and sleep-related consequences of at-risk college drinkers. Classes represented different gradients and types of sleep patterns and sleep-related impairment; nearly half the sample reported late bedtimes and daytime consequences of insufficient sleep. Subsequent validation analyses indicated that these classes were directly correspondent with severity of alcohol consumption, alcohol-related consequences illicit substance use, and perceived health. CONCLUSIONS: These findings indicate the presence of significant heterogeneity in college drinkers' sleep patterns and experiences of sleep-related impairment. Class differences significantly impact the level of alcohol and drug use and the consequences members experience. Greater alcohol use and sleep/wake problems are associated with increased risk for negative consequences for certain classes. These results suggest that college drinking interventions could benefit from the incorporation of sleep-related content and the value in adding brief alcohol assessments and interventions to other college health treatments.

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References

1996A 12-Item Short-Form Health Survey 2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study 2007An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling 2000Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes 2009Sleep Patterns and Predictors of Disturbed Sleep in a Large Population of College Students 1998Sleep Schedules and Daytime Functioning in Adolescents 2008Mental Health of College Students and Their Non–College-Attending Peers 2002Circadian preference, sleep and daytime behaviour in adolescence

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