The Quality, Quantity, and Intraindividual Variability of Sleep Among Students and Student-Athletes

• Published in: Sports health Vol. 12; no. 1; pp. 43 - 50
• Main Authors: Leduc, Cédric, Tee, Jason, Weakley, Jonathon, Ramirez, Carlos, Jones, Ben
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.01.2020
• Subjects: Academic Performance; Athletes - psychology; Athletes - statistics & numerical data; Case-Control Studies; Female; Focus Topic: The Amateur Athlete; Humans; Individuality; Male; Self Report; Sleep; Sleep Latency; Stress, Psychological; Students - psychology; Students - statistics & numerical data; Time Factors; recovery; sport; collegiate athlete; training load
• ISSN: 1941-7381; 1941-0921
• DOI: 10.1177/1941738119887966

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.