Fitness assessments as predictors of performance in police occupational tasks

Elisa Canetti, Rob Marc Orr, Ben Schram, W Brown, Jay Dawes

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Aim: To determine the ability of musculoskeletal fitness test scores in predicting performance in police occupational tasks. Design: Retrospective cohort study Methods: Retrospective data from 106 law enforcement officers who completed five fitness assessments (vertical jump (VJ), hand grip strength, leg back dynamometer, 1-minute push-ups and sit-ups) and three routine occupational tasks (1.22m fence jump (FJ), 8.5m victim drag (VD) with 102.3kg and get-up (GU)) were collected. A standard multiple regression was performed to determine if the results in fitness assessments were predictive of performance in the occupational tasks. Results: Models combining all fitness assessments significantly predicted performance in FJ (F(5,88)=12.228, p < 0.001; adjusted R²=0.61), VD (F(5,88)=9.407, p < 0.001; adjusted R²=0.45) and GU (F(5,88)=14.319, p < 0.001; adjusted R²=0.72). Further analysis of individual predictors highlighted that performance in the VJ test was a significant contributor for all models, uniquely predicting 15% of FJ (p<0.001), 4% of VD (p = 0.03) and 8% of GU (p = 0.001). Grip strength uniquely contributed 3% to performance in the VD (p = 0.05) and performance in the sit-up test contributed 8% to GU performance (p = 0.001). Conclusion: Performance in police-specific occupational tasks requires a combination of muscle power, strength and endurance. While power was integral to performance in all occupational tasks performed, attaining and maintaining all components of fitness is essential as they all contribute predicting performance in police officer occupational tasks.
Original languageEnglish
Publication statusPublished - 17 Oct 2019
EventTRANSFORM 2019 Physiotherapy Conference - Adelaide Convention Centre, Adelaide, Australia
Duration: 17 Oct 201919 Oct 2019 (Book of Abstracts)


ConferenceTRANSFORM 2019 Physiotherapy Conference
Abbreviated titleAPA
Internet address


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