Evidence map›Paper›PMID 40978910›Full record

ArticleCureus2025

Risk Factors and Burden of Occupational Injuries Among Railway Wagon Repair Workers in Madhya Pradesh: A Cross-Sectional Study.

Shubhanshu Gupta, Mansi Gupta, Anshul Gupta

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shubhanshu GuptaCommunity Medicine, Government Medical College, Datia, IND.
Mansi GuptaMicrobiology, Bundelkhand Medical College, Sagar, IND.
Anshul GuptaOrthopedics, Bundelkhand Medical College, Sagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Occupational injuries continue to pose a significant public health challenge worldwide, particularly in low- and middle-income countries such as India, where industrial safety measures frequently fail to keep pace with rapid infrastructural development. Railway wagon repair workers constitute a vulnerable population due to their exposure to mechanical, ergonomic, and environmental hazards. Objective The objective of the study is to assess the prevalence and severity of occupational injuries and identify associated sociodemographic and occupational factors among railway wagon repair workers in Datia, Madhya Pradesh. Methods A cross-sectional study was conducted from July 2023 to June 2024 among 327 railway wagon repair workers who had sustained work-related injuries. Data were collected using a structured questionnaire and analyzed with Jamovi software. Injury severity was assessed using a custom 10-point scale. Multivariate linear and binary logistic regression models were employed to identify predictors of injury severity and injury occurrence, respectively. Results The prevalence of occupational injuries was 59.0% (N = 193). Male workers, older age groups, and unskilled workers reported a higher incidence of injury; however, these associations were not statistically significant. Only the type of occupation significantly predicted injury severity, with unskilled workers experiencing more severe injuries (β = 1.165; p = 0.008). No variable significantly predicted injury occurrence. Model fit for both severity (adjusted R² = 0.0134) and occurrence (McFadden's R² = 0.0178) was poor, suggesting that the identified factors explain only a small portion of the variability and that severity and occurrence are likely influenced by multiple unmeasured factors. These findings should, therefore, be interpreted with caution regarding their predictive value. Conclusion Unskilled workers face a higher risk of sustaining severe occupational injuries in railway wagon repair settings. Although no single factor independently predicted injury occurrence, the findings highlight the need for improved occupational safety practices, particularly through targeted skill development, strict enforcement of personal protective equipment (PPE) use, and customized safety training programs. Longitudinal studies using validated injury assessment tools are recommended to further clarify causal pathways.

Indexed as

injury severityoccupational injuryppe userailway workersworkplace safety

Identifiers

PMID40978910
PMCPMC12444752

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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.