Association between sleep quality and psychological wellbeing in 175 elite adult athletes
A cross-sectional study
Bibliographic Data
| ID | 22087017 |
|---|---|
| Authors | Hanyu Li (0000-0001-8384-0010, Chengdu Sport University), Heng Liu (0000-0001-6589-3821), H Z Liu (Chongqing University, corresponding author) |
| Year | 2026 |
| Volume | 13 |
| Pages | 1681005-1681005 |
| Publication date | 2026-01-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1681005 |
| PMID | 41602062 |
| OpenAlex | W7122820646 |
| Language | EN |
| References cited | 35 |
Purpose This study examined the relationship between sleep quality and mood state and identified psychological predictors of sleep disturbance in elite adult athletes. Methods A stratified cluster sample of 175 elite adult athletes (67 males, 108 females; age 22.6 ± 3.7 yr) was recruited from Sichuan Province, China. Participants with a Pittsburgh Sleep Quality Index (PSQI) score ≥ 5 were classified as having disturbed sleep ( n = 87); those scoring < 5 were assigned to the normal-sleep group ( n = 88). Sleep quality was assessed with the PSQI; mood state was evaluated with the Profile of Mood States (POMS). Results The disturbed-sleep group scored significantly higher than the normal-sleep group on the PSQI global score and on all seven component scales ( p < 0.01). Tension, anger, fatigue, depression, confusion, self-esteem and total mood disturbance (TMD) were also markedly elevated in the disturbed-sleep group ( p < 0.01). Pearson correlations revealed positive associations between PSQI global score and both fatigue (R = 0.242) and TMD (R = 0.347) ( p < 0.01). Multiple linear regression indicated that fatigue ( β = 0.581, p < 0.001) and total mood disturbance (TMD, β = 0.218, p = 0.004) were independent predictors of PSQI global score, explaining 57% of the variance (adjusted R 2 = 0.57, F (2,172) = 115.59, p < 0.001). Sex-stratified analysis indicated that the correlations between fatigue, TMD and sleep quality were significantly stronger in female athletes (R = 0.368 for fatigue, R = 0.402 for TMD) than in male athletes (R = 0.286 for fatigue, R = 0.312 for TMD), and depression scores in the disturbed-sleep group were significantly higher in females than in males ( p = 0.008). Conclusion Sleep disturbance in elite athletes is closely associated with psychological fatigue and overall mood disturbance, with fatigue as the core predictor. Significant gender differences exist: the mood-sleep association is stronger in female athletes, and sleep disturbance has a more prominent impact on their depressive mood, requiring targeted interventions
Depressive symptoms · Elite · Mood · Sleep disorder · Sleep quality · Sleep and related disorders · Sleep and Wakefulness Research · Sleep and Work-Related Fatigue
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| Highly cited | No |
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