Evidence map›Paper›PMID 41162421›Full record

ArticleScientific reports2025

Epidemiological attribution of knee and ankle injuries in firefighters.

Huiyu Wang, Guoqing Zhu

Erratum issuedAbstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Huiyu WangSchool of Physical Education, China University of Mining and Technology, Jiangsu, China.
Guoqing ZhuSafety Engineering School, China University of Mining and Technology, Jiangsu, China. zgq119xz@126.com.

Funding

National Fire and Rescue Bureau Science and Technology Plan Project 2020XFLR43
6 · The paper itself

Abstract

This study aimed to evaluate the main factors of knee and ankle injuries among Chinese firefighters, focusing on the role of training arrangements, training conditions, and knowledge of training injuries. A questionnaire survey was conducted among 963 firefighters to collect data on training content, duration, load, protective equipment, rehabilitation measures and fatigue after training. Multiple regression analysis was used to explore the relationship between each factor and knee and ankle injuries. Logistic regression analysis revealed that training load parameter (A2) significantly reduced knee injury risk (OR = 0.784,95% CI = 0.642-0.958, p < 0.05), while personal protective equipment (B4) also showed a significant negative association (OR = 0.816,95% CI = 0.679-0.982, p < 0.05). Rehabilitation measures (C4) demonstrated marked protective effects against both knee (OR = 0.846,95% CI = 0.723-0.990, p < 0.05) and ankle injuries (OR = 0.697,95% CI = 0.606-0.802, p < 0.01). Conversely, post-training fatigue or discomfort (A6) was associated with increased ankle injury risk (OR = 1.251,95% CI = 1.119-1.398, p < 0.01). Likelihood ratio tests confirmed statistically significant models for knee (χ²=65.580, df = 15, p < 0.001) and ankle injuries (χ²=79.663, df = 15, p < 0.001), with ROC curves showing AUC values of 0.71 (95% CI = 0.67-0.75) and 0.75 (95% CI = 0.71-0.79) respectively, indicating excellent predictive performance.This study shows that training load parameters, personal protective equipment, rehabilitation measures and fatigue or discomfort factors after training play a significant role in the occurrence of knee and ankle injuries. Based on this, the study proposed a two-stage injury occurrence analysis and three-level intervention method to reduce training injuries based on data analysis of firefighters'knee and ankle joint injuries, including "training load monitoring-dynamic protection adaptation-accurate rehabilitation intervention".

Indexed as

Ankle InjuriesFirefightersKnee InjuriesAdultChinaFemaleHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesYoung AdultAnkle jointFirefightersKnee jointTraining impairment

Identifiers

PMID41162421
PMCPMC12572232

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.