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

Wanhyung Lee, Hyungseon Yeom, Jin Ha Yoon, Jong Uk Won, Pil Kyun Jung, June Hee Lee, Hongdeok Seok, Jaehoon Roh

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)685-694
Number of pages10
JournalAmerican Journal of Industrial Medicine
Issue number8
Publication statusPublished - 2016 Aug 1

Bibliographical note

Publisher Copyright:
© 2016 Wiley Periodicals, Inc.

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health


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