ArticleBMC public health2025
Factors influencing personal protective equipment (PPE) use among blue-collar workers: an accessible survey.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Article
- Capability, opportunity, and motivation: a structural equation model of hand hygiene behavior based on the COM-B framework in a Chinese hospital setting.Frontiers in public health · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe proper use of personal protective equipment (PPE) can save lives and prevent major injuries among blue-collar workers who are at heightened risk of workplace accidents. Yet, the non-use or improper use of PPE is not uncommon. Despite academic interest in the issue, there is an absence of accessible and theory-driven PPE surveys for blue-collar workers. This study seeks to develop a simple language Capability, Opportunity, Motivation - Behaviour (COM-B) survey for PPE wearing among blue-collar workers.
methodsA combined deductive and inductive approach to item generation was adopted. This included referencing existing research and surveys and working closely and iteratively with blue-collar workers and their managers to develop the survey. A 14-item survey based on five factors of the COM-B model was developed and tested with 867 multi-national male blue-collar workers. Additional questions on demographics and PPE compliance intentions were asked. Structural Equation Modelling (SEM) and Confirmatory Factor Analyses (CFA) were conducted to assess the model fit and provide evidence for the reliability and validity of the survey.
resultsResults support the internal consistency of our survey subscales (Cronbach's α coefficients > 0.90), demonstrate good model fit (χ² (104) = 24.963, χ²/df = 0.240, CFI = 1.005, TLI = 1.007, RMSEA = 0.000), and provide initial evidence for the validity of the survey by replicating past findings. COM-B factors of Physical Capability (β = 0.47, p < .01) and Psychological Capability (β = 0.69, p < .01) significantly predicted blue-collar workers' intentions to keep their full PPE on properly during their shift.
conclusionsDespite Limitations resulting from the use of a testing sample from a single company, this short 14-item survey is accessible, theory-driven, and directly tested with multi-national blue-collar workers. Future work with blue-collar workers from different industries and settings can confirm the generalisability of the survey. A reliable and valid survey can lead to the development of effective and evidence-based interventions for PPE compliance among blue-collar workers that can prevent major injuries and save lives.
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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.