Female basketball game performance is influenced by menstrual cycle phase, age, perceived demands and game-related contextual factors
This study evaluated the influence of physical and perceived game demands, menstrual cycle phase, perceived recovery, individual and game-related contextual factors on competitive performance in professional, female basketball players.
11 professional female players (age: 20.6 ± 2.7 years) were monitored for game-related statistics (Performance Index Rating, PIR; rebounds, REB; effective field goal %, eFG%; turnovers, TO), objective (PlayerLoad per minute, PL·min-1) and subjective (RPE) game loads, pre-game perceived recovery (Total Quality Recovery, TQRpre), menstrual phase (follicular; luteal) and game-related contextual factors (game location; game outcome; score differential; opponent level) during 12 official games. Separate linear mixed models were used to evaluate the influence of RPE, PL·min-1, TQRpre, menstrual phase, contextual factors, and individual characteristics (age; playing position) on game-related statistics.
Higher PIR and eFG% were found for older players and those who reported higher RPE (all p < 0.05). Higher age also led to less TO (p = 0.042). eFG% was higher when players reported higher TQRpre ;(p = 0.010). Better shooting (eFG%) and rebounding (REB) performances were found during the follicular menstrual phase (p < 0.05). More REB were collected in won games (p = 0.002).
This study suggests that the co-influences of perceptual, menstrual-related, individual and game-related contextual factors should be considered to optimise female basketball players` performance.
© Copyright 2025 Journal of Sports Sciences. Taylor & Francis. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | sport games |
| Tagging: | internal load external load |
| Published in: | Journal of Sports Sciences |
| Language: | English |
| Published: |
2025
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| Online Access: | https://doi.org/10.1080/02640414.2023.2285119 |
| Volume: | 43 |
| Issue: | 1 |
| Pages: | 117-124 |
| Document types: | article |
| Level: | advanced |