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. 2025 Jan 20;42(3):99-107.
doi: 10.5114/biolsport.2025.145916. eCollection 2025 Jul.

Non-contact injury incidence in professional women's football depends on the starting status of the player

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Non-contact injury incidence in professional women's football depends on the starting status of the player

Victor Moreno-Perez et al. Biol Sport. .

Abstract

This study aimed to determine differences in the incidence of non-contact injury in professional women football players with different starting statuses. Data from 37 women (age: 28.5 ± 3.9 years; body mass: 62.3 ± 5.2 kg; height: 169.8 ± 4.7 cm) from a professional football team (Professional Women's Football League from Spain) were prospectively collected during two consecutive seasons. Players were classified according to their match starting status as starters (players with > 70% of matches in the starting lineup; n = 20) and non-starters (n = 17). External load parameters were collected using GPS in all training sessions and matches. Non-contact injuries were diagnosed, classified, and recorded by the medical staff following the IOC consensus. Statistics included comparisons of starters vs. non-starters and linear regression and diagnostic analyses of injured vs. non-injured players. Non-starters accumulated less match load over the season but had two-fold non-contact injury incidence and three-fold muscular injury incidence during matches than starters, despite being exposed to a similar training load. The larger the number of matches played as a starter, the fewer injuries (non-contact: R2 = 0.27, p = 0.01; muscular: R2 = 0.11, p = 0.04). Diagnostic analyses identified clinical thresholds for insufficient match and training loads during the season accounting for higher injury risk. Less than 5,237 decelerations and 25 matches as a starter per season during training was the best indicator to discriminate players with less likelihood of non-contact injury. Football players with less match exposure from a women's professional squad may be more prone to injury due to under-exposure to the demands of the game.

Keywords: Elite athlete; Load monitoring; Performance; Soccer; Team sports; Tracking.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

FIG. 1
FIG. 1
Linear relationships between seasonal matches as starter (X axis), number of non-contact and muscular injuries (Panel A), match and training accelerations (Panel B) and match and training decelerations (Panel C).
FIG. 2
FIG. 2
Aligned dot plot analyses and ROC derived threshold values to discriminate non-contact injuries by means of matches as starter (Panels A), training load (Panels B) and match load (Panels C).
FIG. 3
FIG. 3
Aligned dot plot analyses and ROC derived threshold values to discriminate muscular injuries by means of matches as starter (Panel A) and training load (Panel B).

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