한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제19권1호
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  • Pages.251-259
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  • 2018
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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고용상태 변화와 고용지위가 우울에 미치는 영향 -한국복지패널을 중심으로-

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

  • 유경아 (충남대학교 병원 간호부) ;
  • 김영란 (원광보건대학교 방사선과) ;
  • 박창수 (충남대학교 병원 핵의학과) ;
  • 이태용 (충남대학교 의학전문대학원 예방의학교실)
  • 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)
  • 투고 : 2017.09.15
  • 심사 : 2018.01.05
  • 발행 : 2018.01.31
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초록

본 연구는 한국복지패널의 원시자료를 통해 고용에 따른 우울 정도의 차이를 규명하고자 하였다. 연구 대상은 한국복지패널의 8차(2013), 9차(2014) 자료를 이용하여 조사에 응답한 12,512명을 대상으로 하였고, 우울에 영향을 미치는 요인을 알아보기 위해 t-test와 ANOVA에서 통계적으로 유의하게 나온 변수를 산출하여 위계적 다중회귀분석(hierarchial multiple regression)을 실시하였다. 위계적 다중회귀분석 결과 모델 1은 '남성' 기준 '여성'이, 나이가 많을수록, 배우자가 '있는' 기준 배우자가 '없는' 경우, '일반 소득' 기준 '저소득'인 경우, 자존감 합이 낮을수록, 이전 시기의 우울점수가 높을수록 우울감이 높아지는 경향이 있는 것으로 나타났고, 교육정도는 통계적으로 유의성이 없는 것으로 나타났으며, 이 모델에 투입된 모든 변수들에 대한 설명력은 30.8%로 분석되었다(p<0.001). 모델 1에 고용지위를 투입한 모델 2의 결과 투입된 모든 변수들에 대한 설명력이 30.9%로 나와, 모델 1과 비교한 설명력이 0.1% 증가하여 거의 변화가 없었다(p<0.05). 이상과 같은 결과를 볼 때, 고용에 따른 우울에 영향을 미치는 변수들의 격차를 줄일 수 있는 요인들에 대한 연구와 그에 대한 사회적 지지가 필요할 것으로 생각된다.

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.

키워드

참고문헌

  1. Park J. H., Kim KW, A review of the epidemiology of depression in Korea, J Korean Med Assoc, vol. 54, no. 4, pp. 362-369, 2011. DOI: https://doi.org/10.5124/jkma.2011.54.4.362
  2. Park SH, Kim CY, Shin YJ, The Effects of Employment Status Changes on Mental Health, Journal of Critical Social Welfare, 27, pp. 79-120, 2009.
  3. Statistics Korea. Http://sgis.kostat.go.kr/publicsmodel/, 2012.
  4. Park, Jong-Soon Lee, June-Young Kim, Soon-Duck, A Study for Effects of Economic Growth Rate and Unemployment Rate to Suicide Rate in Korea, Journal of Preventive Medicine and Public Health, vol. 36, no. 1, pp. 85-91, 2003.
  5. Oh H.K., Study on Factors affecting onto Depressive Inclination of the Unemployed, University of Seoul, 2009.
  6. Min S.H., An Impact of Unemployment reason on Job-looking Efficacy Depending on Self-Esteem, Kyonggi University, 2012.
  7. Jung H.G., Effects of Parental Unemployment on Children's Depression and Ego-identity, Yonsei, University, 1999.
  8. Lundin A, Lundberg I, Hallsten L, Ottosson J, Hemmingsson T. Unemployment and mortality ? a longitudinal prospective study on selection and causation in 49321 Swedish middle-aged men, J Epidemiol Community Health, vol. 64, no. 1, pp. 22-28, 2010. DOI: https://doi.org/10.1136/jech.2008.079269
  9. Annika A, Gunilla B, Ragnar W. Care or Not Care ? that is the Question: Predictors of Healthcare Utilization in Relation to Employment Status, Int J Behav Med, 19, pp. 29-38, 2012. DOI: https://doi.org/10.1007/s12529-010-9129-2
  10. Viftanen M, Kivimaki M, Joensuu M, Viftanen P, Elovainio M, Vahtera J, "Temporary employment and heath : A review", Int J Epidemiol, vol. 34, no. 3, pp. 610-622, 2005. DOI: https://doi.org/10.1093/ije/dyi024
  11. Ferrie JE, Shipley MJ, Standfeld SA, Marmot MG. Effects of chronic job insecurity and change, J Epidemiol Community Health, 6, pp. 450-454, 2002. DOI: https://doi.org/10.1136/jech.56.6.450
  12. Park J.H., A Phenomenological study on employment frustration experience of 20s unemployed college graduates, Kwangwoon University, 2011.
  13. Park J.S., The effect of precarious employment on the mental health, Seoul university, 2016.
  14. T. J. Craig, Van Natta PA. "Prevalence and persistence of depression symptoms in patients and community populations", Am J Psychiatry 133, pp. 1426-1429, 1979.
  15. R.E. Robert, S.W. Vernon, "The Center for Epidemiologic Depression Scale; its use in a community sample", Arch Gen Psychiatry 140, pp. 41-46, 1983.
  16. Mirowsky J, and C, E, Ross. "Psychiatric Diagnosis as Reified Measurement", J Health Soc Behav, 30, pp. 11-25, 1989. DOI: https://doi.org/10.2307/2136907
  17. Mirowsky J, and C, E, Ross, "Sex Differences in Distress: Real or Artifact", J Am Sociol Rev 60, pp. 449-468, 1989. DOI: https://doi.org/10.2307/2096424
  18. Kim J. Y., Age and Depression in Korean Adults, Korean Association of Health and Medical Sociology, 26, pp 89-113, 2009.
  19. Sung J.M., Longitudinal Study on the Effects of Depression by Household's Economic Factors According to Income Levels, Korean journal of social welfare, vol. 62, no. 1, pp. 109-132, 2010.
  20. Kim M.S., A Study on Depression, Self-Esteem and Quality in the Elderly, Hanyang University, 2014.
  21. Song E.H., Kim J.Y., The Relationship between Employment Status and Depression: Mediating Effects through Income and Psychosocial Factors, Health and social welfare Review, vol. 32, no. 1, pp. 228-259, 2012. https://doi.org/10.15709/hswr.2012.32.1.228
  22. Kim D.J., Lee J.S., Factors Associated with Depression among Wage Earners by Subjective Health and Stress Perception, Korea Society Of Occupational And Environmental Hygiene, vol. 26, no. 1, pp. 99-108, 2016. DOI: https://doi.org/10.15269/JKSOEH.2016.26.1.99
  23. Jung J.Y., Effects of the Quality of Work on Paid Workers' Mental Health, University of Seoul, 2013. DOI: https://doi.org/10.15855/swp.2015.42.1.239
  24. Jeong E.S., Kahng S.K., Effects of Job Loss on Self-esteem - Focusing on Gender Difference, Health and social welfare Review , vol. 35, no. 1, pp. 84-109, 2015. https://doi.org/10.15709/hswr.2015.35.1.84
  25. Ahn J.S., Divisions in Socioeconomic Status and Risk Responses of the Self-Employed in Korea, Korean Association of Social Welfare Policy, vol. 42, no. 1, pp. 239-264, 2015. https://doi.org/10.15855/swp.2015.42.1.239