Coping behavior toward occupational health risks among construction workers: determinant identification using the COM-B model and data mining analysis
Strongly correlated item sets identified through association rule analysis revealed domains strongly linked to both high (and low) levels of each CBOHR. This study is the first to integrate the COM-B model with data mining in the context of occupational health, highlighting "motivation-values-policy" as actionable levers for CBOHR interventions. The findings provide preliminary evidence to support the development of scalable worker health programs.
Authors
- Zeng Ming-rong
- Liqun Wang (ORCID: https://orcid.org/0000-0002-5037-1913)
- Yiqi Li (ORCID: https://orcid.org/0000-0001-6025-4465)
- Xuesong Yang (ORCID: https://orcid.org/0000-0003-4002-9054)
- Yuewei Ling
Institutions
- China University of Mining and Technology (CN)
- China Academy of Safety Sciences and Technology (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3389/fpubh.2025.1643332
- Primary Topic
- Occupational Health and Safety Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00