Metabolic outcomes of workers according to the International Standard Classification of Occupations in Korea

Abstract

BACKGROUND: Occupation influences the risk for developing chronic metabolic diseases.

METHODS: We compared the prevalence of MetS by International Standard Classification of Occupations using the nationally representative data in Korea (KNHANES). We enrolled 16,763 workers (9,175 males; 7,588 females) who had measurements for the National Cholesterol Education Program criteria III and other variables. OR and 95%CIs for MetS and its components were estimated according to occupation using the multiple logistic regression models.

RESULTS: The occupational groups with the highest age-standardized prevalence of MetS were lower skilled white-collar men (31.1?±?2.4%) and green-collar women (24.2?±?2.9%). Compared with the unskilled male blue-collar group, which had the lowest prevalence of MetS, the OR (95%CIs) of MetS in men were 1.77 (1.45-2.15) in higher skilled white-collar, 1.82 (1.47-2.26) in lower-skilled white-collar, 1.63 (1.32-2.01) in pink-collar and 1.37 (1.13-1.66) in skilled blue-collar workers in final logistic regression model.

CONCLUSIONS: MetS and its components vary by occupational category and gender in ways that may guide health interventions.