0141 Daily self-reported sleep duration patterns among male and female collegiate athletes. (25th May 2022)

• Record Type: Journal Article
• Authors: Bretzin, Abigail; Weeks, Jeremy; Walts, Cory; D'Alonzo, Bernadette; Wiebe, Douglas
• Is Part Of: Sleep. Volume 45(2022)Supplement 1
• Page Start: A63
• Page End: A63
• Publication Date: 2022-05-25
• Subjects: Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsac079.139
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Introduction: Student-athletes' time demands include scholastic, athletic, and social events that may influence sleep duration; and the association between sleep duration, athletic performance, and injury risk are inconclusive. Further, limited research investigates long-term habitual sleep patterns in collegiate student-athletes. We aimed to describe the feasibility of monitoring long-term self-reported sleep duration, within-person sleep duration patterns, and test sex differences across a semester in a collegiate student-athlete cohort. Methods: We monitored daily self-reported sleep in a prospective cohort study using ecologic momentary assessment. Each day, a smartphone application prompted student-athletes to record total sleep hours obtained in the previous 24 hours(h). We provide descriptive statistics for response frequency, and within-person sleep, percentage of days below recommended (7-9) hours, and coefficient of variation (CV) [(standard deviation/mean)*100]. We tested sex differences using chi-squared tests, and within-person median hours of sleep on weekdays verses weekends with paired t tests (p<.05). Results: Sixty-three student-athletes (male: 57.1%) on eight teams responded. Out of a possible 54 responses, response frequency was <25% for 27.0% of student-athletes, 25-50% for 19.1% of student-athletes, 50-75% for 20.6% of student-athletes, and ≥75% for 33.3% of student-athletes. Among those responding ≥50% of days (n=34), median self-reported sleep ranged 6.5-9h per 24h and the percent of days below recommended hours of sleep ranged from 0-53.6%. The CV ranged from 6.2-31.8% overall, and from 7.0-24.1% among athletes with response rate ≥50%. There was a significant association between sex and quartile of response rate (χ23=15.91, p<.001); the highest percent of males (41.7%) had <25% response rate, whereas 55.6% of females had ≥75% response rate. There was no association between sex and reported sleep above or below recommended hours (χ22=2.25, p=0.32). There was no difference between median within-person weekday and weekend hours of sleep (t51=0.75, p=0.46). Conclusion: Student-athletes generally self-reported obtaining the recommended total sleep; however, participation was variable as response frequency was ≥75% for one-third of student-athletes and females responded more often than males. This suggests future studies should validate the reliability of self-report with objective data in this population to obtain complete data to appropriately assess associations between habitual sleep patterns and injury risk, performance, and recovery outcomes. Support (If Any): Pilot funding through the Penn Injury Science Center (CDC R49 CE 003083) supported this study.