Cross SectionalHumann = 418 (199 males, 219 females)2025
Sex-Specific Interrelationship Between Sleep Quality and Daytime Sleepiness in Predicting Injury Occurrence in Physically Active University Students.
Plain-language summary
This study set out to examine how sleep quality and daytime sleepiness together affect injury risk in physically active university students. It analyzed data from 418 students (199 males, 219 females) using validated questionnaires to measure sleep quality (PSQI), daytime sleepiness (ESS), and injury occurrence over the past year. Poor sleep quality was linked to higher injury risk, especially in women, while daytime sleepiness added little predictive value. The relationship between sleep factors and injury risk differed by sex, but overall, sleep factors explained only a small portion of injury risk.
Key findings
- Poor sleep quality was significantly linked to injury occurrence, especially in females.
- Daytime sleepiness added minimal explanatory improvement to injury risk.
- Sleep factors explained only 0.6-1.2% of injury variance in males and up to 4.3% in females.
- Sleep-injury relationships were sex-specific, with poor sleep quality being the most consistent predictor.
How to analyze the study yourself
- Study type
- Cross-sectional studies are good for identifying associations at a single point in time but cannot establish cause and effect.
- Population
- The study included 418 physically active university students (199 males, 219 females).
- Funding
- Not reported
- Watch for
- This study found that poor sleep quality was linked to higher injury risk, especially in women. If you are physically active, it may be worth prioritizing good sleep to reduce your chance of injury.