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Factors Influencing Depressive Symptoms in Public and Private Sector Employees

공공 및 민간 부문 종사 근로자의 우울증상에 영향을 미치는 요인

  • Lee, Hae Joon (Chilgok Branch, National Health Insurance Service) ;
  • Kim, Eun Young (Department of Education, Kyungpook National University)
  • 이해준 (국민건강보험공단 칠곡지사) ;
  • 김은영 (경북대학교 교육학과)
  • Received : 2019.07.18
  • Accepted : 2019.11.11
  • Published : 2019.11.30

Abstract

Purpose: This study aimed to identify factors influencing depressive symptoms in public and private sector employees. Methods: Survey data on 23,602 workers who had worked in the public or private sector were obtained from the 2014 Korean Working Condition Survey (KWCS). Symptoms of depression were measured using the WHO-5 Well-being Index. Data were analyzed using a $x^2$ test, t-test, and multivariate stepwise logistic regression to determine the factors affecting the symptoms of depression. Results: First, the prevalence of depressive symptoms was 41.1 % in public sector employees and 43.4 % in private sector employees. Second, the factors commonly affecting depressive symptoms in public and private sector employees were residence area, cognitive demands, development opportunities, social support from colleagues, social support from supervisors, social community at work, job rewards, and work-family conflict. In addition, age, company size, atypical work, ergonomic risks, quantitative demands, emotional demands, influence, and job insecurity were found to be predictors of depressive symptoms unique to private sector employees. Conclusion: Mental health programs including the employee assistance program (EAP) should be developed and implemented after considering the risk factors affecting depressive symptoms.

Keywords

References

  1. Eurofound. (2012). Fifth European working condition survey. Luxembourg: Publications Office of the European Union.
  2. Eurofound. (2015). New forms of employment. Luxembourg: Publications Office of the European Union.
  3. Ferrie, J. E., Shipley, M. J., Standfeld, S. A., & Marmot, M. G. (2002). Effects of chronic job insecurity and change in job security on self reported health, minor psychiatric morbidity, physiological measures, and health related behaviours in British civil servants: the Whitehall II study. J Epidemiol Community Health, 56, 450-454. https://doi.org/10.1136/jech.56.6.450
  4. Garland, A. F., Deyessa, N., Desta, M., Alem, A., Zerihun, T., Hall, K. G., et al. (2018). Use of the WHO's Perceived well-being index (WHO-5) as an efficient and potentially valid screen for depression in a low income country. Families, Systems, & Health, 36(2), 148-158. https://doi.org/10.1037/fsh0000344
  5. Han, J. S. (2014). The empirical analysis of the employment and wage stability in this state owned entities. Korea Institute of Public Finance (KIPF).
  6. Harnois, G., & Gabriel, P. (2000). Mental health and work: impact, issues and good practices. World Health Organization, Geneva.
  7. Henderson, M., Glozier, N., & Elliott, K. Long term sickness absence: is caused by common conditions and needs managing. British Medical Journal, 330, 802-803. https://doi.org/10.1136/bmj.330.7495.802
  8. Issever, H., Ozdilli, K., Altunkaynak, O., Onen, L., & Disci, R. (2008). Depression in tax office workers in Istanbul and its affecting factors. Indoor and Built Environment, 17(5), 414-420. https://doi.org/10.1177/1420326X08096609
  9. Karpansalo, M., Kauhanen, J., Lakka, T. A., Manninen, P., Kaplan, G. A., & Salonen, J. T. (2005). Depression and early retirement: prospective population based study in middle aged men. Journal of Epidemiology and Community Health, 59, 70-74. https://doi.org/10.1136/jech.2003.010702
  10. Kim, H. C., & Paik, N. S. (2015). A Comparitive study on the gap of compensation levels for public and private sector workers in Korea and the west. Korean Academy of Management, 207-236.
  11. Kim, J. Y. (2009). Age and depression in Korean adults. Health and Social Science, 26, 89-113.
  12. Kopp, M. S., Stauder, A., Purebl, G., Janszky, I., & Skrabski, A. (2008). Work stress and mental health in a changing society. European Journal of Public Health, 18, 238-244. https://doi.org/10.1093/eurpub/ckm077
  13. Korea Centers for Disease Control and Prevention. (2016). The 6th Korea National Health and Nutrition Examination Survey (KNHANES). Sejong: Author.
  14. Korea Centers for Disease Control and Prevention. (2017). The 7th Korea National Health and Nutrition Examination Survey (KNHANES). Sejong: Author.
  15. Lee, H. K., Sohn, M.S., & Choi, M. K. (2013). Factors associated with depression among workers by socio-economic factors, health behaviors, and characteristics of work environment, Korean Journal of Health Education and Promotion, 30(5), 125-138. https://doi.org/10.14367/kjhep.2013.30.5.125
  16. Park, B. H., & Oh, Y. J. (2018). The association between working condition with depression among wage workers. Health and Social Science, 47, 31-56. https://doi.org/10.21489/hass.2018.04.47.31
  17. Park, J. N., Han, M. A., Park, J., & Ryu, S. Y. (2016). Prevalence of depressive symptoms and related factors in Korean employees: The third Korean working conditions survey. International Environmental Research and Public Health, 13, 424. https://doi.org/10.3390/ijerph13040424
  18. Paterniti, S., Niedhammer, I., Lang, T., & Consoli, S. M. (2002). Psychosocial factors at work, personality traits and depressive symptoms: Longitudinal results from the GAZEL Study. The British Journal of Psychiatry, 181, 111-117. https://doi.org/10.1017/s0007125000161811
  19. Schutte, S., Chastang, J. F., Malard, L., Parent-Thirion, A., Vermeylen, G., & Niedhammer, I. (2014). Psychosocial working conditions and psychological well-being among employees in 34 European countries. International Archives of Occupational and Environmental Health, 87, 897-907. https://doi.org/10.1007/s00420-014-0930-0
  20. Sohn, M., Choi, M., & Jung, M. (2016). Working conditions, psychosocial environmental factors, and depressive symptoms among wage workers in South Korea. International Journal of Occupational and Environmental Health, 22(3), 209-217. https://doi.org/10.1080/10773525.2016.1200212
  21. Stansfeld, S. A., Fuhrer, R., Shipley, M. J., & Marmot, M. G. (1999). Work characteristics predict psychiatric disorder: prospective results from the Whitehall II Study. Occupational & Environmental Medicine, 56, 302-307. https://doi.org/10.1136/oem.56.5.302
  22. Topp, C. W., Ostergaard, S. D., Sondergaard, S., & Bech, P. (2015). The WHO-5 Well-Being Index: A systemaic review of the literature. Pschother Psychosom, 84, 167-176. https://doi.org/10.1159/000376585
  23. Woo, J. M., Kim, W., Hwang, T. Y., Frick, K. D., Choi, B. H., Seo, Y. J., et al. (2011). Impact of depression on work productivity and its improvement after outpatient treatment with antidepressants. Value in Health, 14(4), 475-482. https://doi.org/10.1016/j.jval.2010.11.006
  24. World Health Organization. (1998). Mastering depression in primary care (version 2.2). World Health Organization Regional Office for Europe. Frederiksborg General Hospital Psychiatric Research Unit. Retrieved from http://www.cure4you.dk/354/The Depcare_Project.pdf
  25. Yoo, K. A., Kim, Y. R., Park, C. S., & Lee, T. Y. (2018). The effects of employment on depression. Journal of the Korea Academia- Industrial cooperation Society, 19(1), 251-259. https://doi.org/10.5762/KAIS.2018.19.1.251