Evidence map›Paper›PMID 35858859›Full record

ArticleBMC sports science, medicine & rehabilitation2022

Profiling the injuries of law enforcement recruits during academy training: a retrospective cohort study.

Danny J Maupin, Elisa F D Canetti, Ben Schram, Robert G Lockie, J Jay Dawes, Joseph M Dulla, Rob M Orr

Open access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  8. Profiling the Typical Training Load of a Law Enforcement Recruit Class.International journal of environmental research and public health · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Danny J MaupinFaculty of Health Sciences and Medicine, Bond University, 2 Promethean Way, Robina, QLD, 4226, Australia. dmaupin@bond.edu.au.
Elisa F D CanettiFaculty of Health Sciences and Medicine, Bond University, 2 Promethean Way, Robina, QLD, 4226, Australia.
Ben SchramFaculty of Health Sciences and Medicine, Bond University, 2 Promethean Way, Robina, QLD, 4226, Australia.
Robert G LockieTactical Research Unit, Bond University, Robina, QLD, 4226, Australia.
J Jay DawesTactical Research Unit, Bond University, Robina, QLD, 4226, Australia.
Joseph M DullaFaculty of Health Sciences and Medicine, Bond University, 2 Promethean Way, Robina, QLD, 4226, Australia.
Rob M OrrFaculty of Health Sciences and Medicine, Bond University, 2 Promethean Way, Robina, QLD, 4226, Australia.
Bond University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInjuries within law enforcement are a significant issue as they increase organisational costs and workforce strain. As one of the biggest risk factors of future injury is previous injury, minimising injuries suffered during academy has multiple beneficial and long-term effects, including a healthier and fitter police force. The purpose of this study was to profile the injuries sustained at a law enforcement academy to inform future injury mitigation strategies.

methodsInjury data were provided retrospectively (from May 2012 to September 2019) from the official insurance records of a law enforcement academy and included nature, location, and activity performed at time of injury. A total of 4340 (3288 males, 938 females, 114 sex not stated) recruits participated in academy training during this period. Inclusion criteria for the data were (a) injury record related to a recruit, and (b) the recruit was injured during academy training., with injury defined as tissue damage caused by acute or repetitive trauma, inclusive of musculoskeletal, neural, and/or integumentary systems but excluding general medical conditions such as cardiac (e.g. heart attacks) or respiratory (asthma) that was subsequently reported for worker's compensation. Injury incidence rates and proportions were calculated and a Spearman's correlation analysis was conducted between injury rates over successive classes.

resultsAn injury incidence rate of 368.63 injuries per 1000 recruits per year was calculated in this population, with a moderate correlation coefficient (r

conclusionsThis research demonstrates a large number of lower limb, musculoskeletal injuries that often occur during physical training. Further research is needed to assess suitable injury mitigation programs.

Indexed as

FitnessNeeds analysisPoliceStrength and conditioningTactical

Identifiers

PMID35858859
PMCPMC9297584
OpenAlexW4285993089

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.