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Coping behavior toward occupational health risks among construction workers: determinant identification using the
Xuesong Yang1, Yuyan Ling2, Liqun Wang1
1Institute of Safety Production Theory and Standards, China Academy of Safety Sciences and Technology, Beijing, China.
Frontiers in Public Health
|September 29, 2025
Summary
This study explored occupational health risks in China's construction sector. It found that motivation, capability, and opportunity significantly influence workers' coping behaviors, suggesting targeted interventions for improved health programs.
Area of Science:
- Occupational Health
- Behavioral Science
- Data Mining
Background:
- China's construction industry faces significant occupational health challenges.
- Coping behaviors related to occupational health risks (CBOHR) are crucial but understudied.
Purpose of the Study:
- To assess construction workers' Capability, Opportunity, Motivation, and Behavior (COM-B) in relation to occupational health risks.
- To identify determinants of high and low levels of CBOHR using data mining.
Main Methods:
- Cross-sectional survey of 484 construction workers.
- Application of the COM-B model and structural equation modeling (SEM).
- Utilized association-rule mining (ARM) to identify behavioral determinants.
Main Results:
- The COM-B framework demonstrated good fit, reliability, and validity.
- Motivation fully mediated the Capability-Behavior relationship and partially mediated the Opportunity-Behavior relationship.
- ARM identified key domains associated with varying levels of CBOHR.
Conclusions:
- This study integrates the COM-B model with data mining for occupational health research.
- "Motivation-values-policy" emerged as actionable levers for CBOHR interventions.
- Findings support the development of scalable worker health programs.
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