ArticleFrontiers in psychology2022
Workload is associated with the occurrence of non-contact injuries in professional male soccer players: A pilot study.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High-speed running and injury risk in soccer: a systematic review.Frontiers in public health · 2026Pooled it
- Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach.Frontiers in sports and active living · 2025Article
- Tracking devices and physical performance analysis in team sports: a comprehensive framework for research-trends and future directions.Frontiers in sports and active living · 2023Review
- Within-week differences in external training load demands in elite volleyball players.BMC sports science, medicine & rehabilitation · 2022Article
- Comparison of Measurements of External Load between Professional Soccer Players.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Injuries in professional soccer are a significant concern for teams, and they are caused amongst others by high training load. This cohort study describes the relationship between workload parameters and the occurrence of non-contact injuries, during weeks with high and low workload in professional soccer players throughout the season. Twenty-one professional soccer players aged 28.3 ± 3.9 yrs. who competed in the Iranian Persian Gulf Pro League participated in this 48-week study. The external load was monitored using global positioning system (GPS, GPSPORTS Systems Pty Ltd) and the type of injury was documented daily by the team's medical staff. Odds ratio (OR) and relative risk (RR) were calculated for non-contact injuries for high- and low-load weeks according to acute (AW), chronic (CW), acute to chronic workload ratio (ACWR), and AW variation (Δ-Acute) values. By using Poisson distribution, the interval between previous and new injuries were estimated. Overall, 12 non-contact injuries occurred during high load and 9 during low load weeks. Based on the variables ACWR and Δ-AW, there was a significantly increased risk of sustaining non-contact injuries (
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