Wanhyung Lee1,2,3, Hyungseon Yeom4, Jin-Ha Yoon1,2,3,4, Jong-Uk Won1,2,3,4, Pil Kyun Jung5, June-Hee Lee6, Hongdeok Seok1,2,3, Jaehoon Roh1,2,3,4. 1. The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea. 2. Graduate School of Public Health, Yonsei University College of Medicine, Seoul, Korea. 3. Incheon Worker's Health Center, Incheon, Korea. 4. Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea. 5. Department of Occupational and Environmental Medicine, Sahmyook Medical Center, Seoul, Korea. 6. Department of Occupational and Environmental Medicine, Soon Chun Hyang University Hospital, Seoul, 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. Am. J. Ind. Med. 59:685-694, 2016.
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. Am. J. Ind. Med. 59:685-694, 2016.