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The impact of occupation according to income on depressive symptoms in South Korean individuals: Findings from the Korean Welfare Panel Study

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  • Woorim Kim
  • Eun-Cheol Park
  • Tae-Hoon Lee
  • Yeong Jun Ju
  • Jaeyong Shin
  • Sang Gyu Lee

Abstract

Background: In South Korea, societal perceptions on occupation are distinct, with people favouring white collar jobs. Hence both occupation type and income can have mental health effects. Aim: To examine the relationship between occupational classification and depression, along with the combined effect of occupational classification and household income. Methods: Data were from the Korean Welfare Panel Study (KOWEPS), 2010–2013. A total of 4,694 economically active participants at baseline were followed. Association between occupational classification and depression, measured using the Center for Epidemiological Studies Depression (CES-D) scale 11, was investigated using the linear mixed effects model. Results: Blue collar (β: 0.3871, p  = .0109) and sales and service worker groups (β: 0.3418, p  = .0307) showed higher depression scores than the white collar group. Compared to the white collar high-income group, white collar low income, blue collar middle income, blue collar middle-low income, blue collar low income, sales and service middle-high income, sales and service middle-low income and sales and service low-income groups had higher depression scores. Conclusion: Occupational classification is associated with increasing depression scores. Excluding the highest income group, blue collar and sales and service worker groups exhibit higher depression scores than their white collar counterparts, implying the importance of addressing these groups.

Suggested Citation

  • Woorim Kim & Eun-Cheol Park & Tae-Hoon Lee & Yeong Jun Ju & Jaeyong Shin & Sang Gyu Lee, 2016. "The impact of occupation according to income on depressive symptoms in South Korean individuals: Findings from the Korean Welfare Panel Study," International Journal of Social Psychiatry, , vol. 62(3), pages 227-234, May.
    • Handle: RePEc:sae:socpsy:v:62:y:2016:i:3:p:227-234
    DOI: 10.1177/0020764015623973
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    References listed on IDEAS

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    1. Lei, Xiaoyan & Sun, Xiaoting & Strauss, John & Zhang, Peng & Zhao, Yaohui, 2014. "Depressive symptoms and SES among the mid-aged and elderly in China: Evidence from the China Health and Retirement Longitudinal Study national baseline," Social Science & Medicine, Elsevier, vol. 120(C), pages 224-232.
    2. Zimmerman, Frederick J. & Christakis, Dimitri A. & Vander Stoep, Ann, 2004. "Tinker, tailor, soldier, patient: work attributes and depression disparities among young adults," Social Science & Medicine, Elsevier, vol. 58(10), pages 1889-1901, May.
    3. Jianguo Shi & Yan Zhang & Feihu Liu & Yajuan Li & Junhui Wang & Jonathan Flint & Jingfang Gao & Youhui Li & Ming Tao & Kerang Zhang & Xumei Wang & Chengge Gao & Lijun Yang & Kan Li & Shenxun Shi & Gan, 2014. "Associations of Educational Attainment, Occupation, Social Class and Major Depressive Disorder among Han Chinese Women," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-7, January.
    4. Nishimura, Junko, 2011. "Socioeconomic status and depression across Japan, Korea, and China: Exploring the impact of labor market structures," Social Science & Medicine, Elsevier, vol. 73(4), pages 604-614, August.
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