ArticleInternational journal of behavioral medicine2025
The Longitudinal Examination of Habitual Sleep Duration in Relation to Weight Gain Risk Behaviors and Body Composition Changes Among College Students: Findings From Project STARLIT.
Article in International journal of behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Associations of Physical Activity, Sedentary Behaviour, and Sleep with Somatotype Components and a Body Shape Index in Young Adults.Journal of functional morphology and kinesiology · 2026Article
- Chrononutrition Behaviors and BMI Change During the Transition to University Life in Young Adults: A Prospective Study.Nutrients · 2026Observational
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe purpose of the current study was to examine habitual sleep duration trajectories across the first 2 years of college and determine whether the trajectories were related to weight gain risk behaviors and increases in body mass index (BMI) and percent body fat.
methodA sample of 115 students with a BMI between 18.5 and 29.9 was enrolled prior to beginning their first year of college. Data were collected in the laboratory and remotely at three time points across the first 2 years of college. Participants completed a total of eight in-person sessions and three 8-day, at-home recording periods. There were objective measures of body fat composition (i.e., dual-energy X-ray absorptiometry), BMI, sleep (i.e., Phillips Respironics Actiwatch 2 Device), and physical activity (i.e., Actigraph wGT3x-BT accelerometer). Self-report measures of sleep quality (i.e., Pittsburgh Sleep Quality Index) and food and beverage intake (i.e., Automated Self-Administered 24-h Dietary Assessment Tool) were also collected.
resultsThe findings suggest that there were no habitual sleep duration trajectories observed; therefore, none of the outcome variables was examined in relation to trajectories. Follow-up mixed effects models suggest that as subjective poor sleep quality worsened, BMI increased both within participants and across the sample. No other significant relationships were found between sleep duration and quality and the other outcome variables.
conclusionThe findings highlight subjective sleep quality as a potential key component in relation to obesity-related changes. Sample characteristics may have also played a role in the limited findings between the sleep variables and the other obesity-risk outcome variables.
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