Is Educational Level Linked to Unable to Work Due to Ill-health?

Background: This study aimed to examine the association between educational level and unable to work due to ill-health (UWdIH) among 30- to 79-year-old South Koreans. Methods: A cross-sectional nationwide survey of the 2010-2016 Korea National Health and Nutritional Evaluation Survey was used for an...

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Veröffentlicht in:Safety and health at work 2020, Vol.11 (2), p.159-164
Hauptverfasser: Jung, Jiyoun, Choi, Jaesung, Myong, Jun-Pyo, Kim, Hyoung-Ryoul, Kang, Mo-Yeol
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container_issue 2
container_start_page 159
container_title Safety and health at work
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creator Jung, Jiyoun
Choi, Jaesung
Myong, Jun-Pyo
Kim, Hyoung-Ryoul
Kang, Mo-Yeol
description Background: This study aimed to examine the association between educational level and unable to work due to ill-health (UWdIH) among 30- to 79-year-old South Koreans. Methods: A cross-sectional nationwide survey of the 2010-2016 Korea National Health and Nutritional Evaluation Survey was used for analyses. A total of 29,930 participants aged ≥30 and < 80 years, who do not have any disability in their daily life because of health problems, were included. Educational level and reason for nonworking are self-reported with multiple choices. Multivariate logistic regression was used to examine an association between education level and UWdIH by setting those who graduated college as their final education (n = 6,997) as a baseline while controlling for potential confounding factors. Results: In the age-stratified result, the ratio of UWdIH was increased as age increases in 3 educational groups (p < .0001). There was a tendency that low-level educated [International Standard Classification of Education (0-2)] participants showed higher ratio of UWdIH than high-level educated [International Standard Classification of Education (5≤)] participants in both sexes (odds ratio: 2.54, 95% confidence interval: 2.12-3.05). Conclusion: There is a clear link between educational level and UWdIH; the less the educated, the more likely to be UWdIH. Policy priority should be given to plans that can help this vulnerable social group to work and enjoy healthy lives.
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Methods: A cross-sectional nationwide survey of the 2010-2016 Korea National Health and Nutritional Evaluation Survey was used for analyses. A total of 29,930 participants aged ≥30 and &lt; 80 years, who do not have any disability in their daily life because of health problems, were included. Educational level and reason for nonworking are self-reported with multiple choices. Multivariate logistic regression was used to examine an association between education level and UWdIH by setting those who graduated college as their final education (n = 6,997) as a baseline while controlling for potential confounding factors. Results: In the age-stratified result, the ratio of UWdIH was increased as age increases in 3 educational groups (p &lt; .0001). There was a tendency that low-level educated [International Standard Classification of Education (0-2)] participants showed higher ratio of UWdIH than high-level educated [International Standard Classification of Education (5≤)] participants in both sexes (odds ratio: 2.54, 95% confidence interval: 2.12-3.05). Conclusion: There is a clear link between educational level and UWdIH; the less the educated, the more likely to be UWdIH. 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There was a tendency that low-level educated [International Standard Classification of Education (0-2)] participants showed higher ratio of UWdIH than high-level educated [International Standard Classification of Education (5≤)] participants in both sexes (odds ratio: 2.54, 95% confidence interval: 2.12-3.05). Conclusion: There is a clear link between educational level and UWdIH; the less the educated, the more likely to be UWdIH. 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title Is Educational Level Linked to Unable to Work Due to Ill-health?
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