Mental Health

Association between sleep quality and psychological wellbeing in 175 elite adult athletes: a cross-sectional study.

TL;DR

Sleep disturbance in elite athletes is closely associated with psychological fatigue and overall mood disturbance, with fatigue as the core predictor, and significant gender differences exist such that the mood-sleep association is stronger in female athletes.

Key Findings

Nearly half of the elite athletes sampled had disturbed sleep as defined by a PSQI score of 5 or above.

  • Total sample: 175 elite adult athletes (67 males, 108 females; mean age 22.6 ± 3.7 yr) recruited via stratified cluster sampling from Sichuan Province, China.
  • Disturbed-sleep group (PSQI ≥ 5): n = 87; normal-sleep group (PSQI < 5): n = 88.
  • Participants were classified using the established PSQI cutoff of ≥ 5 for sleep disturbance.

The disturbed-sleep group scored significantly higher than the normal-sleep group on the PSQI global score and on all seven PSQI component scales.

  • Differences were statistically significant at p < 0.01 for the PSQI global score.
  • All seven individual PSQI component scales also showed significant differences between groups (p < 0.01).
  • Groups were defined as PSQI ≥ 5 (disturbed) versus PSQI < 5 (normal).

Athletes with disturbed sleep had markedly elevated scores on all negative mood dimensions and total mood disturbance compared to the normal-sleep group.

  • Tension, anger, fatigue, depression, confusion, self-esteem, and total mood disturbance (TMD) were all significantly elevated in the disturbed-sleep group (p < 0.01).
  • Mood state was evaluated using the Profile of Mood States (POMS).
  • Differences were observed across all POMS subscales, not limited to a single mood dimension.

Fatigue and total mood disturbance (TMD) were positively correlated with PSQI global score in the full sample.

  • Pearson correlation between PSQI global score and fatigue: R = 0.242 (p < 0.01).
  • Pearson correlation between PSQI global score and TMD: R = 0.347 (p < 0.01).
  • Correlations were identified using Pearson correlation analysis across all 175 participants.

Fatigue and TMD were independent predictors of PSQI global score, together explaining 57% of the variance in sleep quality.

  • Fatigue: β = 0.581, p < 0.001.
  • TMD: β = 0.218, p = 0.004.
  • Adjusted R² = 0.57; F(2, 172) = 115.59, p < 0.001.
  • These two variables were identified via multiple linear regression as the core psychological predictors of sleep disturbance.

The correlations between fatigue, TMD, and sleep quality were significantly stronger in female athletes than in male athletes.

  • Female athletes: R = 0.368 for fatigue–PSQI correlation; R = 0.402 for TMD–PSQI correlation.
  • Male athletes: R = 0.286 for fatigue–PSQI correlation; R = 0.312 for TMD–PSQI correlation.
  • Sex-stratified analysis was performed with 67 males and 108 females.
  • These differences indicate a stronger mood-sleep association in females.

Depression scores in the disturbed-sleep group were significantly higher in female athletes than in male athletes.

  • The sex difference in depression scores within the disturbed-sleep group was statistically significant (p = 0.008).
  • This finding suggests sleep disturbance has a more prominent impact on depressive mood in female elite athletes.
  • The authors conclude this warrants targeted interventions for female athletes.

What This Means

This research suggests that poor sleep is common among elite athletes and is closely linked to negative psychological states. In a sample of 175 elite adult athletes from China, nearly half (87 out of 175) were classified as having disturbed sleep. Those with disturbed sleep reported significantly higher levels of tension, anger, fatigue, depression, confusion, and overall mood disturbance compared to athletes who slept well. The strongest psychological predictors of poor sleep quality were fatigue and overall mood disturbance, which together accounted for 57% of the variation in sleep quality scores. The study also found notable differences between male and female athletes. Female athletes showed stronger connections between their mood states and sleep quality — meaning that psychological distress was more closely tied to sleep problems in women than in men. Additionally, among athletes with disturbed sleep, female athletes reported significantly higher depression levels than their male counterparts. These findings highlight that the psychological burden of poor sleep may be more pronounced for female elite athletes. This research suggests that mental health monitoring — particularly tracking fatigue and overall mood — could be a useful tool for identifying athletes at risk for sleep problems. The findings also point to the potential value of gender-specific approaches when designing interventions to support athlete wellbeing, since female athletes appear to be especially vulnerable to the psychological consequences of disrupted sleep.

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Citation

Li H, Liu H. (2026). Association between sleep quality and psychological wellbeing in 175 elite adult athletes: a cross-sectional study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2025.1681005