ArticleJSAMS plus2023
Factors associated with gym-based fitness injuries: A case-control study.
Article in JSAMS plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- The 100-Days: Physical Exercise and Challenges to Assess, Maintain and Improve Physical Fitness During Lockdown.Sports (Basel, Switzerland) · 2024Article
- A cross-sectional study of musculoskeletal injuries related to exercise among gym members in Saudi Arabia in 2022: prevalence, common types, and predictor factors.BMC musculoskeletal disorders · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: A large number of sports injuries are sustained during gym-based fitness activities. As a first step towards prevention, the objective of the present study was to identify factors associated with fitness injuries. Design: Retrospective case-control study. Methods: 493 fitness participants that sustained a fitness injury in the past year (cases) were compared to 971 fitness participants that did not sustain a fitness injury (controls), regarding their characteristics and their exposure to gym-based fitness activities, other sports, and work. Multiple logistic regression was performed to identify factors associated with fitness injuries. Results: Males were 1.7 times (95% CI [1.4, 2.1]) more likely than females to have sustained an injury (univariate Odds Ratio). Identified injury associated factors from the final prediction model for males included: age below 41, 7+ months fitness experience, performing fitness mainly outdoors or indoors (vs. at-home), and combining 5+ times fitness per month with full-time work. The goodness of fit of the final model for males was sufficient (Area Under the Curve (AUC) = 0.73), while the final model for females had a poor fit (AUC = 0.6). Conclusions: Young males were more associated with fitness injuries, potentially due to different 'risk-taking' behavior or training intensity compared to elder people and females. Results suggest that factors outside of fitness, like work, may contribute to injury occurrence and should be considered when designing a training schedule to prevent overall (physical and mental) overload. Furthermore, at-home fitness was associated with fewer injuries compared to indoor or outdoor fitness. Future longitudinal research is needed to identify cause-effect relationships.
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