ArticlePloS one2017
The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Men and Women's Occupational Activities and the Risk of Developing Osteoarthritis of the Knee, Hip, or Hands: A Systematic Review and Recommendations for Future Research.Arthritis care & research · 2020Pooled it
- Osteoarthritis at Roonka, Australia: A Local Biology.American journal of biological anthropology · 2025Article
- List of occupational diseases among farmers in Korea: a literature review.Annals of occupational and environmental medicine · 2025Review
- Impact of blue-collar vs. white-collar occupations on disease burden in psoriatic arthritis patients: A Swiss clinical quality management in rheumatic diseases cohort study.Clinical rheumatology · 2024Article
- The Predictors of Osteoarthritis Among U.S. Adults: National Health and Nutrition Examination Survey, 2005 to 2018.Cureus · 2024Article
- Influencing Factors of Delayed Diagnosis of COVID-19 in Gangwon, South Korea.International journal of environmental research and public health · 2024Article
- Prevalence and factors associated with knee osteoarthritis among middle-aged and elderly individuals in rural Tianjin: a population-based cross-sectional study.Journal of orthopaedic surgery and research · 2023Article
- Association between sickness presenteeism and depressive symptoms in Korean workers during the COVID-19 pandemic: A cross-sectional study.Journal of affective disorders · 2022Article
- Population attributable fraction of indicators for musculoskeletal diseases: a cross-sectional study of fishers in Korea.Annals of occupational and environmental medicine · 2022Article
- Effects of education, income, and occupation on prevalence and symptoms of knee osteoarthritis.Scientific reports · 2021Article
- A Deep Neural Network-Based Method for Prediction of Dementia Using Big Data.International journal of environmental research and public health · 2021Article
- Article
- Additive Interaction of Work-Related Stress and Sleep Duration on Arthritis Among Middle-Aged Civil Servants.Psychology research and behavior management · 2021Article
- Work-Related Risk Factors of Knee Meniscal Tears in Korean Farmers: A Cross-Sectional Study.Safety and health at work · 2020Article
- Cluster Analysis: A New Approach for Identification of Underlying Risk Factors and Demographic Features of First Trimester Pregnancy Women.Journal of clinical medicine · 2020Article
- Work-related factors of knee osteoarthritis in Korean farmers: a cross-sectional study.Annals of occupational and environmental medicine · 2020Article
- Factors related to femoral bowing among Korean female farmers: a cross-sectional study.Annals of occupational and environmental medicine · 2020Article
- Article
- Relationship of Occupational Category With Risk of Physical and Mental Health Problems.Safety and health at work · 2019Article
- A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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