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Examining the Longitudinal Relationship Between Sleep and Weight Gain in College Students

Examination of Habitual Sleep Trajectories Across the First Two Years of College: Relation to Weight Gain Risk Behaviors and Outcomes

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04100967
Acronym
STARLIT
Enrollment
116
Registered
2019-09-24
Start date
2017-06-14
Completion date
2021-06-30
Last updated
2022-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy, Overweight

Keywords

sleep, obesity, body fat composition, young adults, diet, activity, Dual X-ray Absorptiometry

Brief summary

This two-year prospective, observational study examines the relationship between habitual short sleep and weight gain, as well as the association between habitual short sleep and behaviors that put people at risk of weight gain. Habitual short sleep is defined as sleeping \<6 hours per night on average. Participants will be healthy freshmen college students who are normal weight or overweight. Exclusion criteria include pregnancy, an inability to be ambulatory, currently taking a medication that could influence or interfere with sleep, or reporting a past/current neurological problem, past/current head injury, past/current sleep disorder, current mood, anxiety, or substance use disorder, current psychosis, or current suicidal ideation/plans. Recruitment will be during new student orientations that occur prior to fall semester. Eligibility will be determined using a screening interview, the DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure - Adult, and DSM-5 Self-Rated Level 2 measures. Eligible participants will be assessed at baseline (time 1), and 8, 16, and 24 months after Time 1. Sleep, physical activity, food/beverages, substance use, and technology use will be collected daily during each eight day recording period. Sleep will be measured with a sleep monitor, activity will be assessed using an accelerometer, food/beverages will be obtained using the National Cancer Institute's Automated Self-Administered 24-hour Dietary Assessment Tool, and substance use and technology use will be measured via self-report. Participants will attend a session after each recording period to have weight and height measured, be scanned via Dual-energy x-ray absorptiometry (DXA), and complete a packet of questionnaires about demographics, health, sleep quality and beliefs, life events, food cravings, and physical development. It is hypothesized that participants will have different habitual sleep trajectories over time. It is also hypothesized that two particular sleep trajectories (stable habitual short sleep and increasingly shorter habitual sleep across time) will be significantly related to weight gain, increased body fat percent, and weight gain risk behaviors (i.e., increased caloric intake and decreased physical activity). Finally, it is hypothesized that the two sleep trajectories will be significantly associated with higher rates of media and technology use and higher rates of problematic sleep-related beliefs/behaviors.

Interventions

None listed

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
Oakland University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
17 Years to 22 Years
Healthy volunteers
Yes

Inclusion criteria

* College freshmen * Traditional college age * BMI from 18.5-29.9.

Exclusion criteria

* Neurological problem * Head injury * Sleep disorder * Mood disorder * Anxiety disorder * Substance use disorder * Psychosis * Suicidal ideation/plan * Lacking the ability to be ambulatory * Pregnancy

Design outcomes

Primary

MeasureTime frame
Change from baseline total body fat percentage at 24 months24 months

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 20, 2026