Dataset Information

Self-Medication for Sleep in College Students: Concurrent and Prospective Associations With Sleep and Alcohol Behavior.

ABSTRACT: OBJECTIVE/BACKGROUND:College students are at an increased risk for poor sleep and associated sleep problems. Emerging evidence suggests that a substantial subset of college students self-medicate with alcohol, marijuana, or over-the-counter medications to help sleep. The current study identified demographic, psychosocial, and sleep- and alcohol-related correlates of self-medication for sleep, and assessed its concurrent and prospective associations with insomnia symptoms, alcohol drinking, and negative drinking consequences. PARTICIPANTS:Undergraduate students (N = 171; mean age = 19 years [SD = 1.35], 32% male, 74% White) enrolled in a four-year university in the northeastern United States. METHODS:Data were drawn from a short-term two-wave longitudinal study. Participants completed two online surveys, separated by an average interval of 68 days (SD = 10.22). RESULTS:At Time 1, 25% of students reported using at least one substance (alcohol, marijuana, or over-the-counter medications) for sleep aid in the past two weeks. Male and older students were more likely to report using substances for sleep. Sleep aid use at Time 1 was concurrently associated with greater levels of alcohol frequency, negative drinking consequences, and insomnia symptoms. Further, sleep aid use at Time 1 was associated with an increase in negative drinking consequences from Time 1 to Time 2, but not with changes in alcohol frequency or insomnia symptoms. CONCLUSIONS:These findings indicate that substances are widely used among college students for sleep aid. Sleep aid use is associated with greater concurrent drinking and insomnia symptoms, and increases in negative drinking consequences over a short time period.

SUBMITTER: Goodhines PA

PROVIDER: S-EPMC5787047 | biostudies-literature | 2019 May-Jun

REPOSITORIES: biostudies-literature

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Self-Medication for Sleep in College Students: Concurrent and Prospective Associations With Sleep and Alcohol Behavior.

Goodhines Patricia A PA Gellis Les A LA Kim Jueun J Fucito Lisa M LM Park Aesoon A

Behavioral sleep medicine 20170831 3

<h4>Objective/background</h4>College students are at an increased risk for poor sleep and associated sleep problems. Emerging evidence suggests that a substantial subset of college students self-medicate with alcohol, marijuana, or over-the-counter medications to help sleep. The current study identified demographic, psychosocial, and sleep- and alcohol-related correlates of self-medication for sleep, and assessed its concurrent and prospective associations with insomnia symptoms, alcohol drinkin ...[more]

PMID: 28749704

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Project description:Caffeinated beverages are a part of daily life. Caffeinated beverages such as coffee, tea, energy drinks, and soft drinks are easy to purchase and are frequently consumed by young college students. Moreover, smoking influences the consumption of caffeinated beverages. The concentration of caffeine in these products is an attractive factor for individuals that desire the effects of caffeine; however, abusing such products may lead to poor sleep quality. The motivations that drive caffeinated beverage consumption were investigated in this study through a survey. Self-reported questionnaires were distributed on campus to students enrolled at a university in Korea. The motivations of the students for consuming each caffeinated beverage and their sleep quality were investigated. The results of exploratory factor analysis showed the motivations for caffeinated beverage consumption were alertness, taste, mood, socialization, health benefits, and habit. The motivations for consuming each caffeinated beverage product were different. For instance, coffee consumption was motivated by a desire for alertness (B = .107, SE = .049, t = 2.181, p < 0.05) and by habit (B = .345, SE = .046, t = 7.428, p < 0.001), whereas tea consumption was influenced by socialization (B = .142, SE = .060, t = 2.357, p < 0.05). Energy drink consumption was motivated by a desire for alertness (B = .100, SE = .034, t = 2.966, p < 0.01) and health benefits (B = .120, SE = .051, t = 2.345, p < 0.05), while the consumption of soft drinks was not motivated by any specific factors. Caffeinated beverage consumption did not show a significant relationship with sleep quality, although the general sleep quality of the respondents was poor. Smoking status showed significant differences in coffee and tea consumption as well as sleep quality. Smokers had a higher intake of coffee and a lower intake of tea than non-smokers. No interaction effect between smoking and coffee on sleep quality was found. Labeling detailing the amount of caffeine in products is necessary and a cautionary statement informing consumers that smoking cigarettes enhances the effects of caffeine should be included.

Project description:This study examines Korean college students' rates and the severity of various negative consequences resulting from the frequency and quantity of alcohol consumption and the unique factors that are affecting this problem in the Korean context in comparison to other countries. It assesses how much gender, age and other associated respondent characteristics mediate alcohol use and the resulting negative consequences among the population. A stratified representative sample of 4803 valid student respondents attending 82 colleges participated in the alcohol consumption survey, of which 95% reported drinking in past 12 months. Drinking is measured by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening tool. Based on this test, composite scores for each participant were computed and students were grouped into four risk groups: (a) nondrinkers, (b) light drinkers, (c) moderate drinkers and (d) heavy drinkers. Outcome measures include 21 validated items evaluating self-reported alcohol-related negative consequences. Rates of negative consequences are reported for each drinking risk group stratified by gender. Descriptive statistics, stepwise regression, multivariate linear regression and MANOVA tests were used to analyze the data. The study found that female respondents in the sample who consumed alcohol in the past 12 months drank 11.5 percent less than males (AUDIT-C score ? = 6.0 and 6.7, respectively), and there was a greater proportion of females (5.1 percent) who were nondrinkers than males (4.6 percent). Yet, when females drank, they experienced 11.8 percent more negative consequences on average than males (? = 1.9 and 1.7, respectively). The study attempts to explain this apparent contradiction. The self-reported rates for many individual negative consequences also varied discernibly by gender. The study concludes with suggestions for how alcohol prevention on Korean college campuses would benefit from targeting females and males differently.

Dataset Information

Self-Medication for Sleep in College Students: Concurrent and Prospective Associations With Sleep and Alcohol Behavior.

Publications

Self-Medication for Sleep in College Students: Concurrent and Prospective Associations With Sleep and Alcohol Behavior.

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