title: The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study.
abstract: Osteoarthritis (OA) is a considerable health problem worldwide. It is known to be associated with certain occupational risk factors. We examined the prevalence rate of OA by occupational cluster. Data were collected from the Korea National Health and Nutrition Examination Surveys (2010-2013). The total number of unweighted sample size was 9,905 participants: 4,460 men and 5,445 women, and OA prevalence was 5.3% and 18.4% respectively. OA patients were defined as participants with knee/hip joint pain and radiographic change of knee/hip joint. Occupational type was classified as either white, pink, blue, or green collar based on the occupational characteristics following physical demand: white for manager and professionals; pink for clerks and service/sales workers; blue for craft/trade workers, machine operators and assemblers, and elementary manual workers; and green for agricultural/fishery workers. We calculated the odds ratios (ORs) and 95% confidence intervals (95% CI) for the odds of a participant's having OA according to the occupational cluster, with gender stratification. The multiple logistic regression model showed that, compared to the white collar group, the ORs of the pink, blue, and green collar workers were 1.23 (95% CI 0.64-2.36), 1.85 (95% CI 1.18-2.88), and 2.91 (95% CI 1.86-4.54), respectively, in males, and 2.53 (95% CI 1.71-3.73), 2.86 (95% CI 1.94-4.21), and 3.90 (95% CI 2.60-5.83), respectively in females. The prevalence rate of OA was associated with the occupational cluster, in order from highest to lowest: green, blue, pink, and white collar.
authors.affiliation: Graduate School of Public Health, Yonsei University, Seoul, Korea.|Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea.|Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
authors.forename: Hongdeok
authors.initials: H
authors.lastname: Seok
authors.affiliation: Korea University College of Medicine, Seoul, Korea.|Division of Rheumatology, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Korea.
authors.forename: Sung Jae
authors.initials: SJ
authors.lastname: Choi
authors.affiliation: Graduate School of Public Health, Yonsei University, Seoul, Korea.|Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea.|Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
authors.forename: Jin-Ha
authors.initials: JH
authors.lastname: Yoon
authors.affiliation: Korea University College of Medicine, Seoul, Korea.|Division of Rheumatology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
authors.forename: Gwan Gyu
authors.initials: GG
authors.lastname: Song
authors.affiliation: Graduate School of Public Health, Yonsei University, Seoul, Korea.|Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea.|Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
authors.forename: Jong-Uk
authors.initials: JU
authors.lastname: Won
authors.affiliation: Korea University College of Medicine, Seoul, Korea.|Division of Rheumatology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
authors.forename: Jae-Hoon
authors.initials: JH
authors.lastname: Kim
authors.affiliation: Graduate School of Public Health, Yonsei University, Seoul, Korea.|Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea.|Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
authors.forename: Jaehoon
authors.initials: J
authors.lastname: Roh
authors.affiliation: Korea University College of Medicine, Seoul, Korea.|Division of Rheumatology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
authors.forename: Jae Hyun
authors.initials: JH
authors.lastname: Jung
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D006621:Hip Joint / Q000473:pathology*; D006801:Humans; D007719:Knee Joint / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D009790:Occupations / Q000706:statistics & numerical data*; D016017:Odds Ratio; D015207:Osteoarthritis, Hip / Q000000981:diagnostic imaging / Q000453:epidemiology*; D020370:Osteoarthritis, Knee / Q000000981:diagnostic imaging / Q000453:epidemiology*; D056910:Republic of Korea / Q000453:epidemiology; D012307:Risk Factors