Eat, Sleep, Work, Play: Associations of Weight Status and Health-Related Behaviors among Young Adult College Students

Virginia Quick, Carol Byrd‐Bredbenner, Adrienne A. White, Onikia Brown, Sarah Colby, Suzanne Shoff, Barbara Lohse, Tanya Horacek, Tanda Kidd, Geoffrey Greene

American Journal of Health Promotion · 2013 · 76 citations · 46 references

DOIFull text

Open access

Concepts

Abstract

PURPOSE: To examine relationships of sleep, eating, and exercise behaviors; work time pressures; and sociodemographic characteristics by weight status (healthy weight [body mass index or BMI < 25] vs. overweight [BMI ≥ 25]) of young adults. DESIGN: Cross-sectional. SETTING: Nine U.S. universities. SUBJECTS: Enrolled college students (N = 1252; 18-24 years; 80% white; 59% female). MEASURES: Survey included the Pittsburgh Sleep Quality Index (PSQI), Three-Factor Eating Questionnaire (TFEQ), Satter Eating Competence Inventory (ecSI), National Cancer Institute Fruit/Vegetable Screener, International Physical Activity Questionnaire, Work Time Pressure items, and sociodemographic characteristics. ANALYSIS: Chi-square and t-tests determined significant bivariate associations of sociodemographics, sleep behaviors, eating behaviors, physical activity behavior, and work time pressures with weight status (i.e., healthy vs. overweight/obese). Statistically significant bivariate associations with weight status were then entered into a multivariate logistic regression model that estimated associations with being overweight/obese. RESULTS: Sex (female), race (nonwhite), older age, higher Global PSQI score, lower ecSI total score, and higher TFEQ Emotional Eating Scale score were significantly (p < .05) associated with overweight/obesity in bivariate analyses. Multivariate logistic regression analysis showed that sex (female; odds ratio [OR] = 2.05, confidence interval [CI] = 1.54-2.74), older age (OR = 1.35, CI = 1.21-1.50), higher Global PSQI score (OR = 1.07, CI = 1.01-1.13), and lower ecSI score (OR = .96, CI = .94-.98), were significantly (p < .05) associated with overweight/obesity. CONCLUSION: Findings suggest that obesity prevention interventions for college students should include an education component to emphasize the importance of overall sleep quality and improving eating competence.

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