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Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data

BACKGROUND: Despite the consensus that higher occupational classes tend to have better health and lower mortality rates, one study has reported reversed occupational gradients in mortality rates among Korean men after the economic crisis in the late 2000s. To examine these patterns of health inequal...

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Autores principales: Noh, Eunjeong, Khang, Young-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220699/
https://www.ncbi.nlm.nih.gov/pubmed/34162434
http://dx.doi.org/10.1186/s13690-021-00638-9
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author Noh, Eunjeong
Khang, Young-Ho
author_facet Noh, Eunjeong
Khang, Young-Ho
author_sort Noh, Eunjeong
collection PubMed
description BACKGROUND: Despite the consensus that higher occupational classes tend to have better health and lower mortality rates, one study has reported reversed occupational gradients in mortality rates among Korean men after the economic crisis in the late 2000s. To examine these patterns of health inequality in more detail, we investigated the tendency of occupational gradients in socioeconomic position and multiple pathway indicators known to affect mortality in Korea. METHODS: We used data from 4176 men aged 35–64 in Korea derived from the 2007–2009 and 2013–2015 Korean National Health and Nutrition Examination Surveys. We compared the age-standardized prevalence and age-adjusted mean values of each contributing factor to health inequality among occupational groups, which are divided into upper non-manual workers, lower non-manual workers, manual workers, and others. Contributing factors included childhood and adulthood socioeconomic position indicators, biological risk factors, health behaviors, psychosocial factors, and work environment. RESULTS: Upper non-manual workers had prominently higher levels of education, income, parental education, and economic activity than lower non-manual and manual workers. The rates of smoking and high-risk alcohol consumption were lower, and the rate of weight control activities was higher, in the non-manual classes. Further, the rates of depression and suicidal ideation were lower, and perceptions of the work environment were more favorable, among non-manual workers than among their manual counterparts. CONCLUSIONS: We detected occupational inequality in a wide range of socioeconomic positions and pathway indicators in Korea with consistently favorable patterns for upper non-manual workers. These occupational gradients do not support the previously reported reversed pattern of higher mortality rates in non-manual groups versus in the manual job class in Korea. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00638-9.
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spelling pubmed-82206992021-06-23 Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data Noh, Eunjeong Khang, Young-Ho Arch Public Health Research BACKGROUND: Despite the consensus that higher occupational classes tend to have better health and lower mortality rates, one study has reported reversed occupational gradients in mortality rates among Korean men after the economic crisis in the late 2000s. To examine these patterns of health inequality in more detail, we investigated the tendency of occupational gradients in socioeconomic position and multiple pathway indicators known to affect mortality in Korea. METHODS: We used data from 4176 men aged 35–64 in Korea derived from the 2007–2009 and 2013–2015 Korean National Health and Nutrition Examination Surveys. We compared the age-standardized prevalence and age-adjusted mean values of each contributing factor to health inequality among occupational groups, which are divided into upper non-manual workers, lower non-manual workers, manual workers, and others. Contributing factors included childhood and adulthood socioeconomic position indicators, biological risk factors, health behaviors, psychosocial factors, and work environment. RESULTS: Upper non-manual workers had prominently higher levels of education, income, parental education, and economic activity than lower non-manual and manual workers. The rates of smoking and high-risk alcohol consumption were lower, and the rate of weight control activities was higher, in the non-manual classes. Further, the rates of depression and suicidal ideation were lower, and perceptions of the work environment were more favorable, among non-manual workers than among their manual counterparts. CONCLUSIONS: We detected occupational inequality in a wide range of socioeconomic positions and pathway indicators in Korea with consistently favorable patterns for upper non-manual workers. These occupational gradients do not support the previously reported reversed pattern of higher mortality rates in non-manual groups versus in the manual job class in Korea. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00638-9. BioMed Central 2021-06-23 /pmc/articles/PMC8220699/ /pubmed/34162434 http://dx.doi.org/10.1186/s13690-021-00638-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Noh, Eunjeong
Khang, Young-Ho
Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data
title Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data
title_full Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data
title_fullStr Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data
title_full_unstemmed Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data
title_short Analysis of factors contributing to occupational health inequality in Korea: a cross-sectional study using nationally representative survey data
title_sort analysis of factors contributing to occupational health inequality in korea: a cross-sectional study using nationally representative survey data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220699/
https://www.ncbi.nlm.nih.gov/pubmed/34162434
http://dx.doi.org/10.1186/s13690-021-00638-9
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