earticle

영어

This study aims to examine the effects of job demand factors (hazardous exposure, job autonomy, and labor intensity) on the psychological well-being of construction workers, focusing on the mediating role of sleep quality. The construction industry, characterized by irregular work conditions and exposure to multiple risks, poses significant challenges to workers’ physical and mental health. Structural equation modeling (SEM) was applied to empirically analyze the relationships among job demands, sleep quality, and well-being. Data were drawn from the 7th Korean Working Conditions Survey (KWCS, 2023), including 2,694 construction workers. Exploratory and confirmatory factor analyses were conducted to verify reliability and validity. A structural equation model was estimated using AMOS 26.0, and bootstrapping with 2,000 resamples was performed to test the mediating effects. The findings revealed that both hazardous factors and labor intensity had significant effects on sleep quality and well-being, with sleep quality partially mediating these relationships. Job autonomy had a strong positive direct effect on well-being but did not significantly affect sleep quality. High exposure to hazards and intensive labor tended to lower sleep quality, thereby reducing overall well-being. The model showed good fit indices (CFI=0.991, RMSEA=0.028). The study concludes that improving workers’ well-being in the construction industry requires not only reducing hazardous exposure and adjusting labor intensity but also implementing measures to enhance sleep quality. Moreover, job autonomy plays a key role in promoting psychological well-being. Future research should explore longitudinal analyses and the interaction effects between sleep quality and job autonomy.