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.

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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
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article

Coping behavior toward occupational health risks among construction workers: determinant identification using the COM-B model and data mining analysis

Zeng Ming-rong, Liqun Wang, Yiqi Li, Xuesong Yang et al.
Frontiers in Public Health
Occupational Health and Safety Research
article

Coping behavior toward occupational health risks among construction workers: determinant identification using the COM-B model and data mining analysis

Zeng Ming-rong, Liqun Wang, Yiqi Li, Xuesong Yang, Yuewei Ling
article en

Abstract

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.

Frontiers in Public HealthVol. 13
China University of Mining and Technology (CN), China Academy of Safety Sciences and Technology (CN)
Openalex Percentile: Top 64%
Occupational Health and Safety Research
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