Date of Original Version
Nutrition and Food Sciences
Little is known about the relationships between eating competence (intra-individual approach to eating and food-related attitudes and behaviors that entrain positive bio-psychosocial outcomes) and sleep behaviors and quality in college students, a high-risk group for poor eating habits, weight gain, and inadequate sleep. Thus, data from full-time college students (N = 1035; 82% White; 61% female) aged 18–24 years from 5 U.S. universities were obtained from online questionnaires (eating competence (ecSI), Pittsburg Sleep Quality Index (PSQI), physical activity, demographics) and physical assessments (measured height, weight), to explore sleep behavior and quality between eating-competent (EC; ecSI score ≥ 32) and non-EC groups (ecSI < 32). Generalized linear models controlling for gender, body mass index, and physical activity were utilized. A higher proportion of those in the EC group reported adequate sleep quality (67% vs. 57% in non-EC, p = 0.001), sleep duration of ≥ 7 h nightly (58% vs. 50% in non-EC, p = 0.007), and infrequent daytime dysfunction (72% vs. 65% in non-EC, p = 0.02). When ecSI scores were grouped as tertiles, those in the highest tertile reported a higher prevalence of no sleep disturbances (7% vs. 2% in the lowest ecSI tertile, p = 0.006) and lower prevalence of sleep medication use (10% vs. 15% in the lowest ecSI tertile, p = 0.04). Results suggest that competent eaters are more likely to have better overall sleep quality and fewer sleep-related issuescompared to less competent eaters. These findings may inform future longitudinal studies, and health promotion and weight management interventions for young adults.
Quick, V., Shoff, S., Lohse, B., White, A., Horacek, T., & Greene, G. (2015). Relationships of eating competence, sleep behaviors and quality, and overweight status among college students. Eating Behaviors, 19, 15-19. doi: 10.1016/j.eatbeh.2015.06.012
Available at: https://doi.org/10.1016/j.eatbeh.2015.06.012
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.