Recruitment

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