What type of study is this?

This is a Generalised linear mixed model study.

September 10, 2025F1000Research1 citationsOpen Access

Relationship Between Training Load and Injuries in Law Enforcement Recruits

DMDanny MaupinUniversity of Surrey ECElisa CanettiBond University EREvelyne RathboneBond University

Key Points

Higher training load correlates with increased injury risk, especially among female recruits.
Best-fitting model indicated that weekly distance and early training weeks greatly influence injury probabilities.
Generalised linear mixed model was applied to assess injury risk based on various physical training metrics.
These findings suggest tailored training strategies are needed to mitigate injury risks in law enforcement recruits.

Abstract

Background Law enforcement agencies typically conduct academy training to develop new officers. As these future officers are recruited from the general population, increases in physical workload during academy training can influence injury risk. This study explored the relationship between training load (TL) and injury risk among police officer recruits. Methods Data relating to injuries suffered, distance covered, physical fitness, and time spent in physical training were collected from 547 academy police recruits (431 male; 116 female). Course length varied between 20 and 22 weeks. A generalised linear mixed model was used to assess relationships between these variables and injury risk. The best fitting model was chosen using a stepwide approach with Akaike information criterion (AIC) and Bayesian information criterion (BIC) used for comparison. Results The best fitting model utilised weekly distance, week of training, and biological sex to predict injury (χ2= 38.3, p-value

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