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http://dx.doi.org/10.5762/KAIS.2018.19.1.251

The effects of employment on depression -the Korea Welfare Panel Study-  

Yoo, Kyuong-Ar (Department of Nursing, Chungnam National University Hospital)
Kim, Young-Ran (Department of Radiology, Wonkwang Health Science University)
Park, Chang-Soo (Department of Nuclear Medicine, Chungnam National University Hospital)
Lee, Tae-Yong (Department of Preventive Medicine and Public Health, Chungnam National University School of Medicine)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.1, 2018 , pp. 251-259 More about this Journal
Abstract
This study was conducted to investigate individuals' mental health on the basis of scores for depression and self-esteem from the Korea Welfare Panel Study (KWPS) and determine their dynamic association with employment status. This study was conducted using the eighth (2013) and ninth (2014) data from the KWPS. To identify factors affecting depression, socio-demographic factors, factors related to mental health, and contents related to employment, such as changes in the employment condition and employment status, were selected and analyzed by t-test, ANOVA, and hierarchial multiple regression to determine the explanatory power. Multiple regression revealed that in Model 1, those who were female, were older, had no spouse, were in the lower income bracket, had lower total self-esteem, and scored higher for depression in the previous period tended to show higher levels of depression. Education had no significant effect and explanatory power for all variables inputted into this model was estimated to be 30.8% (p<0.001). The explanatory power for all variables input into Model 2, which was generated by inputting employment status into Model 1, was estimated to be 30.9%, which was 0.1% higher than for Model 1 (p<0.05). These results indicated that depression was significantly correlated with gender, age, income, presence of a spouse, previous depression, self-esteem, and employment status; accordingly, investigation of the factors that can narrow the gap among variables affecting depression should be conducted and socially supported.
Keywords
depression; employment status; KWPS; demographic factors; the factors related to mental health;
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