IDEAS home Printed from https://ideas.repec.org/a/sae/socpsy/v62y2016i3p227-234.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0020764015623973
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0020764015623973?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarah Bridges & Lefan Liu, 2022. "The impact of child migration on the health and well‐being of parents left behind," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(6), pages 1145-1164, August.
    2. Mitra, Sophie & Gao, Qin & Chen, Wei & Zhang, Yalu, 2020. "Health, work, and income among middle-aged and older adults: A panel analysis for China," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    3. Barnes, Andrew J. & Zimmerman, Frederick J., 2013. "Associations of occupational attributes and excessive drinking," Social Science & Medicine, Elsevier, vol. 92(C), pages 35-42.
    4. Bjelland, Ingvar & Krokstad, Steinar & Mykletun, Arnstein & Dahl, Alv A. & Tell, Grethe S. & Tambs, K., 2008. "Does a higher educational level protect against anxiety and depression? The HUNT study," Social Science & Medicine, Elsevier, vol. 66(6), pages 1334-1345, March.
    5. Luo, Ye & Pan, Xi & Zhang, Zhenmei, 2019. "Productive activities and cognitive decline among older adults in China: Evidence from the China Health and Retirement Longitudinal Study," Social Science & Medicine, Elsevier, vol. 229(C), pages 96-105.
    6. Osea Giuntella & Wei Han & Fabrizio Mazzonna, 2017. "Circadian Rhythms, Sleep, and Cognitive Skills: Evidence From an Unsleeping Giant," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1715-1742, October.
    7. Li, Qin & Smith, James P. & Zhao, Yaohui, 2023. "Understanding the effects of widowhood on health in China: Mechanisms and heterogeneity," The Journal of the Economics of Ageing, Elsevier, vol. 25(C).
    8. Luo, Yanan & Yuan, Kexin & Li, Yuxiao & Liu, Yating & Pan, Yao, 2024. "The “spillover effect” of long-term care insurance in China on spouses’ health and well-being," Social Science & Medicine, Elsevier, vol. 340(C).
    9. Ruoxi Wang & Ghose Bishwajit & Yongjie Zhou & Xiang Wu & Da Feng & Shangfeng Tang & Zhuo Chen & Ian Shaw & Tailai Wu & Hongxun Song & Qian Fu & Zhanchun Feng, 2019. "Intensity, frequency, duration, and volume of physical activity and its association with risk of depression in middle- and older-aged Chinese: Evidence from the China Health and Retirement Longitudina," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-17, August.
    10. Gyu Ri Kim & Chung Mo Nam, 2017. "Temporal trends in educational inequalities in non-communicable diseases in Korea, 2007-2015," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-15, December.
    11. Qin Zhou & Xuezheng Qin & Gordon G. Liu, 2020. "Relative economic status and mental health among Chinese adults: Evidence from the China health and retirement longitudinal study," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1312-1332, November.
    12. Ji Young Kang, 2022. "Trajectories of Labor Market Inequalities and Health Among Employees in Korea: Multichannel Sequence Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(1), pages 381-400, February.
    13. Jin, Yinzi & Zhu, Dawei & He, Ping, 2020. "Social causation or social selection? The longitudinal interrelationship between poverty and depressive symptoms in China," Social Science & Medicine, Elsevier, vol. 249(C).
    14. Smith, James P. & Strauss, John & Zhao, Yaohui, 2014. "Healthy aging in China," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 37-43.
    15. Wang, Qing & Zhang, Donglan & Hou, Zhiyuan, 2016. "Insurance coverage and socioeconomic differences in patient choice between private and public health care providers in China," Social Science & Medicine, Elsevier, vol. 170(C), pages 124-132.
    16. Zheng, Xiaodong & Shangguan, Shuangyue & Fang, Zuyi & Fang, Xiangming, 2021. "Early-life exposure to parental mental distress and adulthood depression among middle-aged and elderly Chinese," Economics & Human Biology, Elsevier, vol. 41(C).
    17. Cheng, Cheng, 2017. "Anticipated support from children and later-life health in the United States and China," Social Science & Medicine, Elsevier, vol. 179(C), pages 201-209.
    18. Cui, Hanxiao & Smith, James P. & Zhao, Yaohui, 2020. "Early-life deprivation and health outcomes in adulthood: Evidence from childhood hunger episodes of middle-aged and elderly Chinese," Journal of Development Economics, Elsevier, vol. 143(C).
    19. Shen, Zheng & Fang, Xiangming & Zheng, Xiaodong, 2022. "The impact of women's off-farm employment on depressive symptoms: Evidence from rural China," Social Science & Medicine, Elsevier, vol. 311(C).
    20. Singhal, Saurabh, 2019. "Early life shocks and mental health: The long-term effect of war in Vietnam," Journal of Development Economics, Elsevier, vol. 141(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:socpsy:v:62:y:2016:i:3:p:227-234. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.