Abstract
Objectives: Sleep is a major lifestyle factor that may change dramatically when students begin college. Sleep duration has been shown to influence cardiometabolic health. We investigated the feasibility of sleep extension in college students to increase actigraphically measured sleep duration and the association of sleep extension with daytime sleepiness and blood pressure. Design: This was a within-participant experimental study. Setting: The study setting was 14-day at-home study and 3 in-lab visits. Participants: The participants included in this study were healthy undergraduate students (n=53; mean age 20.5 ± 1.1 years; 70% female). Intervention: Participants maintained a habitual sleep schedule during week 1 and then were instructed to extend their sleep duration by at least 1 hour per night for week 2. Measurements: Sleep measures included wrist actigraphy and daytime sleepiness assessed by the Epworth Sleepiness Scale (ESS) and by daily diary. Cardiovascular measures included blood pressure (BP) and heart rate (HR). ESS, BP and HR were measured during lab visits on days 7 and 14. Multilevel modeling was used to test the effects of extension on sleep duration, daytime sleepiness, BP and HR. Results: Participants increased sleep duration during week 2 by 43.0 ± 6.2 standard error minutes per night, compared with week 1 (p<.001). Furthermore, 41 of 53 participants (77%) increased their sleep duration by >15 minutes per night (p<.001). Participants reported less daytime sleepiness on weekly ESS (p<.05) and daily log ratings (p<.001) after sleep extension; and systolic BP was significantly reduced by 7.0 ± 3.0 mmHg (p<.05). Conclusion: This study demonstrates that substantive sleep extension is feasible in college students and can positively impact their sleep and cardiovascular health.
Original language | English (US) |
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Pages (from-to) | 32-39 |
Number of pages | 8 |
Journal | Sleep health |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2020 |
All Science Journal Classification (ASJC) codes
- Behavioral Neuroscience