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This cross-sectional study of 238 Korean blue collar workers used surveys, anthropometric and blood pressure measurements, and blood sampling for lipid and glucose levels to answer the research questions. Multiple regression techniques were used to analyze study data. The prevalence of actual CVD risk among blue collar workers was 32 cases per 100 workers. A multiple regression model showed that a combination of individual, psychosocial, and work-related factors explained 34% of the variance in actual CVD risk. The significant predictors of actual CVD risk included knowledge of CVD risk, risk perception, job stress, and waist-to-hip ratio. 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