Evidence map›Paper›PMID 40576331›Full record

ArticleScandinavian journal of medicine & science in sports2025

The Football Association Injury and Illness Surveillance Study: The Incidence, Burden, and Severity of Injuries in English Women's Domestic Football-A 5-Year Prospective Cohort Study.

Bradley Sprouse, Philip Hennis, Pippa Bennett, Steve Kemp, Charlotte Cowie, Abosede Ajayi, Ryan King, Molly Johnson, John Morris, Simon Cooper and 2 more

Abstract read
In one paragraph

Article in Scandinavian journal of medicine & science in sports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Bradley SprouseSHAPE Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK.ORCID https://orcid.org/0000-0002-3655-2478
Philip HennisSHAPE Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK.ORCID https://orcid.org/0000-0002-8216-998X
Pippa BennettUK Sports Institute, Manchester, UK.
Steve KempThe Football Association, Burton-Upon-Trent, UK.ORCID https://orcid.org/0009-0002-6316-8030
Charlotte CowieThe Football Association, Burton-Upon-Trent, UK.ORCID https://orcid.org/0009-0002-3417-4335
Abosede AjayiWomen's Professional Leagues Ltd, London, UK.
Ryan KingThe Football Association, Burton-Upon-Trent, UK.ORCID https://orcid.org/0009-0000-0567-1944
Molly JohnsonSHAPE Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK.
John MorrisSHAPE Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK.ORCID https://orcid.org/0000-0001-6508-7897
Simon CooperSHAPE Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK.ORCID https://orcid.org/0000-0001-5219-5020
Avinash ChandranDatalys Center for Sports Injury Research and Prevention, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-2949-3668
Ian VarleySHAPE Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK.ORCID https://orcid.org/0000-0002-3607-8921

Funding

The Football Association
6 · The paper itself

Abstract

The epidemiology of injuries in English women's professional football is yet to be investigated. Therefore, the aim was to examine the incidence, severity, and burden of injury in English women's domestic football. Time-loss injuries, and match and training exposure, were collected by club medical staff across 5 seasons (2018-2023) from English Women's Super League and Championship teams (93 team seasons). The incidence, severity, burden, cause, onset and patterns of injury were examined. A bootstrapped negative binomial approach was employed to calculate incidence and burden estimates, time-trend analysis and injury rate ratios (IRR), all with accompanying 95% CI. 2167 injuries were reported, resulting in 76 687 days absent. Of these, 981 match injuries (eliciting 37 269 days absent) and 1186 training injuries (eliciting 39 418 days absent) were reported. Injury incidence was greater in matches than training (20.5 [16.9-24.1] vs. 2.9 [2.0-4.0] injuries per 1000 h [95% CI]; IRR: 7.3, 95% CI: 5.1-10.1). Match injury burden (775.1 days absent/1000 h [95% CI; 630.0-934.9]) was greater than training (96.9 days absent/1000 h [95% CI: 66.1-138.5]) (IRR: 8.3, 95% CI: 5.4-12.0). Training injury incidence decreased by 28% across the study period (p = 0.041), with no significant seasonal changes for match injury incidence (p = 0.218) or injury burden (p > 0.05). The most common diagnosis was hamstring injury (match: 2.37; training: 0.38; injuries/1000 h), while ACL injuries were the most burdensome (match: 136.31; training: 10.86 days absent/1000 h), with no significant seasonal changes observed (p > 0.05). Overall, the present study showed that injury incidence and burden were greater in matches than training, with incidence decreasing by 28% across the study period in training in English women's domestic football. Hamstring injuries were the most common injury diagnosis, and ACL injuries were the most burdensome; illustrating the need to continue to develop prevention strategies for these injuries. The present study provides injury surveillance information in English women's domestic football and can be a benchmark for the success of future injury prevention strategies.

Indexed as

Athletic InjuriesSoccerAdultCost of IllnessEnglandFemaleHumansIncidenceProspective StudiesYoung Adultinjury burdeninjury incidenceinjury surveillancewomen's football

Identifiers

PMID40576331
PMCPMC12203882

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.