Evidence map›Paper›PMID 41306450›Full record

ArticleBMJ open sport & exercise medicine2025

Graduation-stage physical fitness as a predictor of operational performance and injury risk among police recruits: a prospective cohort study.

Dongming Jia

Abstract read
In one paragraph

Article in BMJ open sport & exercise medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

1 author.

Dongming JiaZhejiang Police Vocational College, hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-7662-6788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study examined whether physical fitness at the point of police academy graduation predicts early-career outcomes, including job performance and musculoskeletal injury risk. Methods: In a 12-month prospective cohort study, 240 police recruits (74.2% male; mean age 22.1 years) were assessed during the final week of academy training. Graduation-stage fitness was summarised by a composite fitness index (0-100; higher=better) from sex-standardised domain scores. Job performance was assessed using the Behaviourally Anchored Rating Scale (BARS) at 12 months, while injury incidence was monitored via official records, compensation claims and self-reported events. Multivariable linear regression and Cox proportional hazards models were used to examine associations, adjusting for age, sex, body mass index, baseline physical activity (measured by International Physical Activity Questionnaire-Short Form) and pre-existing musculoskeletal conditions. Results: Graduation-stage fitness significantly predicted BARS-rated job performance (β=0.21; 95% CI 0.12 to 0.30; p<0.001), with specific effects in communication (p=0.042) and use-of-force judgement (p=0.017). Each 1-point increase in fitness score was associated with an 11% reduction in injury hazard (HR 0.89; 95% CI 0.83 to 0.95; p<0.001). High-fitness recruits remained injury-free significantly longer (median 9 vs 4 months; log-rank p<0.001). Conclusions: Graduation-stage physical fitness is a strong and actionable predictor of early-career success and injury resilience in law enforcement. These findings support incorporating fitness assessments at academy exit into operational readiness protocols, guiding evidence-based deployment decisions and targeted postacademy conditioning programmes.

Indexed as

Musculoskeletal injuryOccupational performancePhysical fitness assessmentPolice recruitsProspective cohort studyTactical readiness

Identifiers

PMID41306450
PMCPMC12645639

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Registered trials

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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.