ArticleBMJ open sport & exercise medicine2022
Correlation between preseason body composition and sports injury in an English Premier League professional football team.
Article in BMJ open sport & exercise medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Bioelectrical Impedance Analysis in Professional and Semi-Professional Football: A Scoping Review.Sports (Basel, Switzerland) · 2025Review
- Determinants of the severity of sports injuries among students in sports disciplines at higher education institutions.Frontiers in public health · 2025Article
- The frequency of injuries of Iranian male professional soccer players: a cross-sectional study.Journal of injury & violence research · 2024Article
- Risk factors associated with football injury among male players from a specific academy in Ghana: a pilot study.Scientific reports · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To identify the correlation between preseason body composition and incidence coupled with injury burden throughout the season in adult male professional football players. Methods: A retrospective case series was performed for linear regression analysis of preseason body composition variables and injury data. R Results: All 36 professional football players in the male first team of an English Premier League professional football team were recruited, with none lost to follow-up. The total and mean incidence of injuries was 83.00 and 2.31 (95% CI 1.72 to 2.89), respectively. The mean injury burden was 58.32 (95% CI 37.67 to 78.98) days missed. Simple linear regression analysis indicated no significant or adequate correlations between incidence and preseason body composition variables. Injury burden revealed non-significant adequate negative correlations to body mass (R Conclusions: Players with decreased body mass, BMI, waist circumference, total BMD and mean embedded structures may be prone to greater injury burden. Further studies with a larger sample size that incorporates multiple football teams are warranted to investigate this.
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