Sleep, the Never-ending Quest of College Students
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Sleep
- Sleep Disturbance
- Sleep Hygiene
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: None (Open Label)Primary Purpose: Health Services Research
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Aim 1) To evaluate whether a semester long course focused entirely on sleep produces improvements in college students' sleep patterns across the semester based on one-week sleep diaries. H1: Compared to students enrolled in other courses who are not expected to show significant changes in sleep patt...
Aim 1) To evaluate whether a semester long course focused entirely on sleep produces improvements in college students' sleep patterns across the semester based on one-week sleep diaries. H1: Compared to students enrolled in other courses who are not expected to show significant changes in sleep patterns, students enrolled in the sleep course will demonstrate increases in total sleep time, decreases in sleep onset latency, and decreases in nighttime awakenings. In line with Mayer's theoretical model, these sleep-based changes will evidence non-linear (i.e., quadractic) patterns across four time points during the semester. Aim 2) To evaluate changes in sleep hygiene behaviors across the semester among students enrolled in a sleep course compared to students enrolled in other courses. H2: Compared to students enrolled in other courses who are not expected to show significant changes in sleep hygiene behaviors, students enrolled in the sleep course will report a decreased frequency of naps, use of electronics within one hour of bed, and an increase in sleep regularity (e.g., reduction in the discrepancy between weekend and weekday wake times) across the four time points during the semester. Aim 3) To evaluate how sleep patterns relate to daytime mood and energy levels across the semester among students enrolled in a sleep course and other courses. H3: Greater total sleep time, shorter sleep onset latency, fewer nighttime awakenings, a less discrepancy between weekend and weekday wake times will predict higher energy levels and mood among both groups across the semester. Aim 4) To evaluate how sleep patterns across the semester predict final course grades among students enrolled in a sleep course. H4: Students enrolled in the sleep course who demonstrate increases in total sleep time, decreases in sleep onset latency, and decreases in nighttime awakenings across the semester will achieve higher final course grades than students who demonstrate minimal to no improvements in sleep.
Tracking Information
- NCT #
- NCT04035213
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Simon Lau, M.A. University of Houston