The Quality, Quantity, and Intraindividual Variability of Sleep Among Students and Student-Athletes. (January 2020)

• Record Type: Journal Article
• Authors: Leduc, Cédric; Tee, Jason; Weakley, Jonathon; Ramirez, Carlos; Jones, Ben
• Is Part Of: Sports health. Volume 12:Number 1(2020)
• Page Start: 43
• Page End: 50
• Publication Date: 2020-01
• Subjects: sport -- training load -- collegiate athlete -- recovery; Sports medicine -- Periodicals; Athletic Injuries -- Periodicals; Physical Education and Training -- Periodicals; Musculoskeletal Physiological Phenomena -- Periodicals; Médecine du sport -- Périodiques; 617.1027
• DOI: 10.1177/1941738119887966
• Languages: English
• ISSNs: 1941-7381

Abstract

Background: Student-athletes are subject to significant demands due to their concurrent sporting and academic commitments, which may affect their sleep. This study aimed to compare the self-reported sleep quality, quantity, and intraindividual variability (IIV) of students and student-athletes through an online survey. Hypothesis: Student-athletes will have a poorer sleep quality and quantity and experience more IIV. Study Design: Case-control study. Level of Evidence: Level 4. Methods: Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while sleep quantity and IIV were assessed using the Consensus Sleep Diary. Initially, the PSQI and additional questions regarding sport participation habits were completed by 138 participants (65 students, 73 student-athletes). From within this sample, 44 participants were recruited to complete the sleep diary for a period of 14 days. Results: The mean PSQI score was 6.89 ± 3.03, with 65% of the sample identified as poor sleepers, but no difference was observed between students and student-athletes. Analysis of sleep patterns showed only possibly to likely small differences in sleep schedule, sleep onset latency, and subjective sleep quality between groups. IIV analysis showed likely moderate to possibly small differences between groups, suggesting more variable sleep patterns among student-athletes. Conclusion: This study highlights that sleep issues are prevalent within the university student population and that student-athletes may be at greater risk due to more variable sleep patterns. Clinical Relevance: University coaches should consider these results to optimize sleep habits of their student-athletes.