Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Jung J

PROVIDER: S-EPMC7303485 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Jung Jiyoun J Choi Jaesung J Myong Jun-Pyo JP Kim Hyoung-Ryoul HR Kang Mo-Yeol MY

Safety and health at work 20200113 2

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 32596010

Similar Datasets

Project description:BackgroundIndividuals with lower socioeconomic status are at increased risk of involuntary exit from paid employment. To give sound advice for primary prevention in the workforce, insight is needed into the role of mediating factors between socioeconomic status and labour force participation. Therefore, it is aimed to investigate the influence of health status, lifestyle-related factors and work characteristics on educational differences in exit from paid employment.Methods14,708 Dutch employees participated in a ten-year follow-up study during 1999-2008. At baseline, education, self-perceived health, lifestyle (smoking, alcohol, sports, BMI) and psychosocial (demands, control, rewards) and physical work characteristics were measured by questionnaire. Employment status was ascertained monthly based on tax records. The relation between education, health, lifestyle, work-characteristics and exit from paid employment through disability benefits, unemployment, early retirement and economic inactivity was investigated by competing risks regression analyses. The mediating effects of these factors on educational differences in exit from paid employment were tested using a stepwise approach.ResultsLower educated workers were more likely to exit paid employment through disability benefits (SHR:1.84), unemployment (SHR:1.74), and economic inactivity (SHR:1.53) but not due to early retirement (SHR:0.92). Poor or moderate health, an unhealthy lifestyle, and unfavourable work characteristics were associated with disability benefits and unemployment, and an unhealthy lifestyle with economic inactivity. Educational differences in disability benefits were explained for 40% by health, 31% by lifestyle, and 12% by work characteristics. For economic inactivity and unemployment, up to 14% and 21% of the educational differences could be explained, particularly by lifestyle-related factors.ConclusionsThere are educational differences in exit from paid employment, which are partly mediated by health, lifestyle and work characteristics, particularly for disability benefits. Health promotion and improving working conditions seem important measures to maintain a productive workforce, particularly among workers with a low education.

Dataset Information

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

Background

Methods

Results

Conclusion

Publications

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

Similar Datasets

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