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Associations between anthropometric characteristics and physical performance in male law enforcement officers: a retrospective cohort study

Overview of attention for article published in Annals of Occupational and Environmental Medicine, June 2016
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Title
Associations between anthropometric characteristics and physical performance in male law enforcement officers: a retrospective cohort study
Published in
Annals of Occupational and Environmental Medicine, June 2016
DOI 10.1186/s40557-016-0112-5
Pubmed ID
Authors

James Jay Dawes, Robin Marc Orr, Claire Louise Siekaniec, Andrea Annie Vanderwoude, Rodney Pope

Abstract

Police officers are often required to undertake physically demanding tasks, like lifting, dragging and pursuing a suspect. Therefore, physical performance is a key requirement. Retrospective data for 76 male police officers (mean age = 39.42 ± 8.41 years; mean weight = 84.21 ± 12.91 kg) was obtained. Data included anthropometric (skinfolds, estimated percentage body fat, lean body mass and fat mass) and physical performance (1 Repetition Maximum Bench Press, 1-min sit-ups, 1-min push-ups, vertical jump, 300 m run, 1.5 mile run) measures and correlations between anthropometric measurement and fitness score were obtained. Estimated percentage body fat was significantly (p ≤ .001) and negatively correlated with all performance measures, except sit-ups and 300 m and 1.5 mile run performance. Estimated lean body mass was significantly and positively (p ≤ .001) correlated with push-ups, bench press and vertical jump measures, while increasing estimated fat mass was significantly (p ≤ .001) associated with reduced performance on sit-up, vertical jump, 1.5 mile run and estimated maximal voluntary oxygen uptake. A targeted approach, going beyond just decreasing percentage body fat to also selectively increasing lean mass, should be applied for optimal improvement in physical fitness performance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Bachelor 4 8%
Student > Postgraduate 3 6%
Student > Doctoral Student 3 6%
Student > Ph. D. Student 3 6%
Other 11 22%
Unknown 17 34%
Readers by discipline Count As %
Sports and Recreations 19 38%
Unspecified 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Economics, Econometrics and Finance 2 4%
Arts and Humanities 1 2%
Other 7 14%
Unknown 17 34%