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Association between working time quality and self-perceived health: analysis of the 3rd Korean working conditions survey (2011)
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Cited 5 time in Scopus
- Authors
- Issue Date
- 2017-11-13
- Publisher
- BioMed Central
- Citation
- Annals of Occupational and Environmental Medicine, 29(1):55
- Keywords
- Self-perceived health ; Working hours ; Shift work ; KWCS
- Abstract
- Abstract
Background
Self-perceived health, a subjective assessment of ones health condition, is an important health indicator at the level of quality of life. In this study, working time quality refer to job factors with qualitative aspects of working time. This study was conducted to investigate the association between working time quality and self-perceived health in paid workers in Korea.
Methods
In this study, 35,902 paid workers were analyzed based on the 3rd Korean working conditions survey. For independent variables, working time quality (working at night, working in the evenings, working on Sundays, working on Saturdays, and working more than 10h a day) were set as major job-related variables. Other occupational characteristics were divided into 6 groups and general characteristics were divided into 6 groups, and univariate analysis was conducted with self-perceived health, a dependent variable. Variables that had significance in the univariate analysis were used for multivariate logistic regression analysis.
Results
In the univariate analysis using Chi-square test, variables showing significance in self-perceived health were age, income, education, occupation, employment type, work hours per week, and shift work. Working time quality showed a significant association with self-perceived health. After adjusting for these variables using logistic regression analysis, working at night, working in the evening, working on Sundays, and working more than 10h a day showed significant association with self-perceived health.
Conclusions
This study showed a statistically significant association between working time quality of employees with self-perceived health.
- ISSN
- 2052-4374
- Language
- English
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