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The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study

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 to...

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Autores principales: Seok, Hongdeok, Choi, Sung Jae, Yoon, Jin-Ha, Song, Gwan Gyu, Won, Jong-Uk, Kim, Jae-Hoon, Roh, Jaehoon, Jung, Jae Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5242527/
https://www.ncbi.nlm.nih.gov/pubmed/28099527
http://dx.doi.org/10.1371/journal.pone.0170229
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author Seok, Hongdeok
Choi, Sung Jae
Yoon, Jin-Ha
Song, Gwan Gyu
Won, Jong-Uk
Kim, Jae-Hoon
Roh, Jaehoon
Jung, Jae Hyun
author_facet Seok, Hongdeok
Choi, Sung Jae
Yoon, Jin-Ha
Song, Gwan Gyu
Won, Jong-Uk
Kim, Jae-Hoon
Roh, Jaehoon
Jung, Jae Hyun
author_sort Seok, Hongdeok
collection PubMed
description 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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spelling pubmed-52425272017-02-06 The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study Seok, Hongdeok Choi, Sung Jae Yoon, Jin-Ha Song, Gwan Gyu Won, Jong-Uk Kim, Jae-Hoon Roh, Jaehoon Jung, Jae Hyun PLoS One Research Article 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. Public Library of Science 2017-01-18 /pmc/articles/PMC5242527/ /pubmed/28099527 http://dx.doi.org/10.1371/journal.pone.0170229 Text en © 2017 Seok et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Seok, Hongdeok
Choi, Sung Jae
Yoon, Jin-Ha
Song, Gwan Gyu
Won, Jong-Uk
Kim, Jae-Hoon
Roh, Jaehoon
Jung, Jae Hyun
The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
title The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
title_full The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
title_fullStr The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
title_full_unstemmed The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
title_short The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
title_sort association between osteoarthritis and occupational clusters in the korean population: a nationwide study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5242527/
https://www.ncbi.nlm.nih.gov/pubmed/28099527
http://dx.doi.org/10.1371/journal.pone.0170229
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