Annals of Occupational and Environmental Medicine

  • Volume 34
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  • Pages.24.1-24.13
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  • 2022
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  • 1225-3618(pISSN)
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  • 2052-4374(eISSN)
The Korean Society of Occupational & Environmental Medicine (대한직업환경의학회)
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The effect of job insecurity, employment type and monthly income on depressive symptom: analysis of Korean Longitudinal Study on Aging data

  • Myeong-Hun Lim (Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine) ;
  • Jong-Uk Won (Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine) ;
  • Won-Tae Lee (Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine) ;
  • Min-Seok Kim (Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine) ;
  • Seong-Uk Baek (Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine) ;
  • Jin-Ha Yoon (Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine)
  • Received : 2022.07.03
  • Accepted : 2022.08.12
  • Published : 2022.12.31
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Abstract

Background: In modern society, depression is serious issue that causes socioeconomic and family burden. To decrease the incidence of depression, risk factors should be identified and managed. Among many risk factors for depression, this study examined socioeconomic risk factors for depression. Methods: We utilized first (2006), second (2008), and third (2010)-wave data from the Korean Longitudinal Study of Aging (KLoSA). Depressive symptom was measured with the 10-item Center for Epidemiological Studies Depression Scale, Short Form (CES-D-10) in the survey in 2008 and 2010. Three risk factors including job security, employment type and monthly income were measured in the survey in 2006. The association between risk factors and depressive symptom was analyzed by Cox proportional-hazard model. Results: We analyzed data from 1,105 workers and hazard ratios (HRs) for 3 risk factors were significant entirely. In addition, regular worker with high income group is the most vulnerable group of poor job insecurity on depression among male workers (HR: 1.73; 95% confidence interval [CI]: 1.07-2.81). Finally, HRs for 7 groups who had at least 1 risk factor had higher HRs compared to groups who had no risk factors after stratifying 3 risk factors. In the analysis, significantly vulnerable groups were total 5 groups and the group who had highest HR was temporary/daily workers with poor job security (HR: 2.51; 95% CI: 1.36-4.64). The results concerning women, regardless of job type, were non-significant. Conclusions: This study presented one or more risk factors among poor job security, low income, temporary/daily employment type increase hazard for depressive symptom in 2 or 4 years after the exposure. These results inform policy to screen for and protect against the risk of depression in vulnerable groups.

Keywords

Acknowledgement

The authors thank to all of the participants and working groups at Korean employment information service of Korean Longitudinal Study of Aging (KLoSA).

References

  1. Greenberg PE, Kessler RC, Birnbaum HG, Leong SA, Lowe SW, Berglund PA, et al. The economic burden of depression in the United States: how did it change between 1990 and 2000? J Clin Psychiatry 2003;64(12):1465-75. https://doi.org/10.4088/JCP.v64n1211
  2. Cho MJ, Seong SJ, Park JE, Chung IW, Lee YM, Bae A, et al. Prevalence and correlates of DSM-IV mental disorders in South Korean adults: the Korean epidemiologic catchment area study 2011. Psychiatry Investig 2015;12(2):164-70. https://doi.org/10.4306/pi.2015.12.2.164
  3. Too LS, Spittal MJ, Bugeja L, Reifels L, Butterworth P, Pirkis J. The association between mental disorders and suicide: a systematic review and meta-analysis of record linkage studies. J Affect Disord 2019;259:302-13. https://doi.org/10.1016/j.jad.2019.08.054
  4. Park JH, Lee JJ, Lee SB, Huh Y, Choi EA, Youn JC, et al. Prevalence of major depressive disorder and minor depressive disorder in an elderly Korean population: results from the Korean Longitudinal Study on Health and Aging (KLoSHA). J Affect Disord 2010;125(1-3):234-40. https://doi.org/10.1016/j.jad.2010.02.109
  5. Hasselbalch BJ, Knorr U, Hasselbalch SG, Gade A, Kessing LV. Cognitive deficits in the remitted state of unipolar depressive disorder. Neuropsychology 2012;26(5):642-51. https://doi.org/10.1037/a0029301
  6. Schaakxs R, Comijs HC, van der Mast RC, Schoevers RA, Beekman AT, Penninx BW. Risk factors for depression: differential across age? Am J Geriatr Psychiatry 2017;25(9):966-77. https://doi.org/10.1016/j.jagp.2017.04.004
  7. International Labour Organization. COVID-19 and the World of Work. Update estimates and analysis. Geneva, Switzerland: International Labour Organization; 2020.
  8. Matilla-Santander N, Ahonen E, Albin M, Baron S, Bolibar M, Bosmans K, et al. COVID-19 and precarious employment: consequences of the evolving crisis. Int J Health Serv 2021;51(2):226-8. https://doi.org/10.1177/0020731420986694
  9. Freeman A, Tyrovolas S, Koyanagi A, Chatterji S, Leonardi M, Ayuso-Mateos JL, et al. The role of socioeconomic status in depression: results from the COURAGE (aging survey in Europe). BMC Public Health 2016;16(1):1098.
  10. Han KM, Han C, Shin C, Jee HJ, An H, Yoon HK, et al. Social capital, socioeconomic status, and depression in community-living elderly. J Psychiatr Res 2018;98:133-40. https://doi.org/10.1016/j.jpsychires.2018.01.002
  11. Meltzer H, Bebbington P, Brugha T, Jenkins R, McManus S, Stansfeld S. Job insecurity, socio-economic circumstances and depression. Psychol Med 2010;40(8):1401-7. https://doi.org/10.1017/S0033291709991802
  12. De Witte H. Job insecurity: review of the international literature on definitions, prevalence, antecedents and consequences. SA J Ind Psychol 2005;31(4):a200.
  13. De Cuyper N, De Witte H. Job insecurity in temporary versus permanent workers: Associations with attitudes, well-being, and behaviour. Work Stress 2007;21(1):65-84. https://doi.org/10.1080/02678370701229050
  14. Irwin M, Artin KH, Oxman MN. Screening for depression in the older adult: criterion validity of the 10- item Center for Epidemiological Studies Depression Scale (CES-D). Arch Intern Med 1999;159(15):1701-4. https://doi.org/10.1001/archinte.159.15.1701
  15. Cheng ST, Chan AC. The center for epidemiologic studies depression scale in older Chinese: thresholds for long and short forms. Int J Geriatr Psychiatry 2005;20(5):465-70. https://doi.org/10.1002/gps.1314
  16. Patten SB, Wang JL, Williams JV, Currie S, Beck CA, Maxwell CJ, et al. Descriptive epidemiology of major depression in Canada. Can J Psychiatry 2006;51(2):84-90. https://doi.org/10.1177/070674370605100204
  17. Akhtar-Danesh N, Landeen J. Relation between depression and sociodemographic factors. Int J Ment Health Syst 2007;1(1):4.
  18. Breslau N, Peterson EL, Schultz LR, Chilcoat HD, Andreski P. Major depression and stages of smoking. A longitudinal investigation. Arch Gen Psychiatry 1998;55(2):161-6. https://doi.org/10.1001/archpsyc.55.2.161
  19. Gemes K, Forsell Y, Janszky I, Laszlo KD, Lundin A, Ponce De Leon A, et al. Moderate alcohol consumption and depression - a longitudinal population-based study in Sweden. Acta Psychiatr Scand 2019;139(6):526-35. https://doi.org/10.1111/acps.13034
  20. Park S, Kook H, Seok H, Lee JH, Lim D, Cho DH, et al. The negative impact of long working hours on mental health in young Korean workers. PLoS One 2020;15(8):e0236931.
  21. Pflanz SE, Ogle AD. Job stress, depression, work performance, and perceptions of supervisors in military personnel. Mil Med 2006;171(9):861-5. https://doi.org/10.7205/MILMED.171.9.861
  22. Rugulies R, Bultmann U, Aust B, Burr H. Psychosocial work environment and incidence of severe depressive symptoms: prospective findings from a 5-year follow-up of the Danish work environment cohort study. Am J Epidemiol 2006;163(10):877-87. https://doi.org/10.1093/aje/kwj119
  23. Kim TJ, von dem Knesebeck O. Perceived job insecurity, unemployment and depressive symptoms: a systematic review and meta-analysis of prospective observational studies. Int Arch Occup Environ Health 2016;89(4):561-73. https://doi.org/10.1007/s00420-015-1107-1
  24. Quesnel-Vallee A, DeHaney S, Ciampi A. Temporary work and depressive symptoms: a propensity score analysis. Soc Sci Med 2010;70(12):1982-7. https://doi.org/10.1016/j.socscimed.2010.02.008
  25. Sareen J, Afifi TO, McMillan KA, Asmundson GJ. Relationship between household income and mental disorders: findings from a population-based longitudinal study. Arch Gen Psychiatry 2011;68(4):419-27. https://doi.org/10.1001/archgenpsychiatry.2011.15
  26. Shields-Zeeman L, Collin DF, Batra A, Hamad R. How does income affect mental health and health behaviours? A quasi-experimental study of the earned income tax credit. J Epidemiol Community Health 2021;75(10):929-35. https://doi.org/10.1136/jech-2020-214841
  27. Statistics Korea. Supplementary results of the economically active population survey by employment type in August 2020. http://kostat.go.kr/portal/eng/pressReleases/5/5/index.board?bmode=download&bSeq=&aSeq=385878&ord=2. Updated 2020. Accessed June 24, 2022.
  28. van de Ven D, Robroek SJ, Oude Hengel KM, Burdorf A, Schuring M. Changes in health among 45-64-year-old Dutch persons before, during and after becoming unemployed or employed: a seven year follow-up study. Scand J Work Environ Health 2022;48(4):283-92. https://doi.org/10.5271/sjweh.4016
  29. Sverke M, Hellgren J, Naswall K. No security: a meta-analysis and review of job insecurity and its consequences. J Occup Health Psychol 2002;7(3):242-64. https://doi.org/10.1037/1076-8998.7.3.242
  30. Latack JC, Dozier JB. After the ax falls: job loss as a career transition. Acad Manage Rev 1986;11(2):375-92. https://doi.org/10.2307/258467
  31. Bracci A, Riva E. Perceived job insecurity and anxiety. a multilevel analysis on male and female workers in European countries. Front Sociol 2020;5:573549.
  32. Stegenga BT, King M, Grobbee DE, Torres-Gonzalez F, Svab I, Maaroos HI, et al. Differential impact of risk factors for women and men on the risk of major depressive disorder. Ann Epidemiol 2012;22(6):388-96. https://doi.org/10.1016/j.annepidem.2012.04.011
  33. Han KM, Chang J, Won E, Lee MS, Ham BJ. Precarious employment associated with depressive symptoms and suicidal ideation in adult wage workers. J Affect Disord 2017;218:201-9. https://doi.org/10.1016/j.jad.2017.04.049
  34. Kachi Y, Otsuka T, Kawada T. Precarious employment and the risk of serious psychological distress: a population-based cohort study in Japan. Scand J Work Environ Health 2014;40(5):465-72. https://doi.org/10.5271/sjweh.3442
  35. Jang SY, Jang SI, Bae HC, Shin J, Park EC. Precarious employment and new-onset severe depressive symptoms: a population-based prospective study in South Korea. Scand J Work Environ Health 2015;41(4):329-37. https://doi.org/10.5271/sjweh.3498
  36. Kim Y, Kim SS. Job insecurity and depression among automobile sales workers: a longitudinal study in South Korea. Am J Ind Med 2018;61(2):140-7. https://doi.org/10.1002/ajim.22805