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An Empirical Assessment of the Interactionist Model: The Relationship Between Household Income and Depression Among Retirees in Korea

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Abstract

The debate over the causal direction of the social cause theory, which emphasizes the impact of the socioeconomic environment, and the social choice theory, which highlights individual characteristics, is important in that it affects overall public policy and practice intervention in conjunction with the mainstream societal welfare paradigm. This debate over whether income affects health, or health affects income, has recently surfaced in Korea. In this context, this study investigates the longitudinal relationship between retirees’ household income and depression from an interactionist perspective. The data were obtained from the 4th (2011), 5th (2013), and 6th (2015) waves of the Korean Retirement and Income Study Panel. An autoregressive cross-lagged analysis was conducted using a sample of 3,987 retirees who had work experience. The results show that retirees’ early income status and depression are largely maintained over time. The results also indicate a reciprocal relationship between retirees’ family income and depression. Together, these findings support the interactionist model, as the association between retirees’ family income and depression involves reciprocity and mutual influence across time. The findings also have major implications for policy and interventions with regard to family income and the health of retirees.

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Notes

  1. Kim et al., (2000) reported that the factor structure of the CES-D did not vary much across age groups, and this study applied the results of the survey conducted on elderly people aged 60 or older.

  2. In the CES-D, scores higher than 16 out of a total 60 points are classified as depressive states. We did not classify such scores as depressive states but added them for use as continuous variables.

  3. The reason why the average of major variables change with time is related to various factors such as panel characteristics, age effects or other external events, and overrepresentation of a specific group. In this regard, a separate study (e.g., Latent Growth Curve Model) is needed to link the social flow or policy situation at each point in time. An interpretation close to inference was attempted, but not a strict interpretation of the changes in the average values of income and health variables, which are the main variables of this study

  4. Model 7, which was finally selected in this study, is not an absolutely perfect model. However, its selection means that it was judged as the best in comparison with various alternative models, including the base model.

References

  • Adesanya, A., Rojas, O., Darboe, B. M., A., & Beogo, I. (2017). Socioeconomic differential in self-assessment of health and happiness in 5 African countries: Finding from World Value Survey. PLOS ONE, 12(11), e0188281. https://doi.org/10.1371/journal.pone.0188281

    Article  Google Scholar 

  • Ahuvia, A., Thin, N., Haybron, D. M., Biswas-Diener, R., Ricard, M., & Timsit, J. (2015). Happiness: An interactionist perspective. International Journal of Wellbeing, 5(1), 1–18. https://doi.org/10.5502/ijw.v5i1.1

    Article  Google Scholar 

  • Arbuckle, J. L. (2006). Amos (version 7.0) [Computer software]. SPSS

  • Atalay, K., Barrett, G. F., & Staneva, A. (2019). The effect of retirement on elderly cognitive functioning. Journal of Health Economics, 66, 37–53. https://doi.org/10.1016/j.jhealeco.2019.04.006

    Article  Google Scholar 

  • Baek, E. Y. (2008). Determinants of retirement income adequacy and persistency of the retirees. Korean Social Security Studies, 24(2), 27–51

    Google Scholar 

  • Braithwaite, J., & Mont, D. (2009). Disability and poverty: A survey of World Bank poverty assessments and implications. Alter, 3(3), 219–232. https://doi.org/10.1016/j.alter.2008.10.002

    Article  Google Scholar 

  • Cha, K. W., & Kim, Y. J. (2009). A comparison of household characteristics by retirement types: Focused on traditional retirement and gradual retirement. Korean Family Resource Management Association, 13(4), 95–114

    Google Scholar 

  • Chang, J. (2003). Career transitions of the older workers. Korean Journal of Sociology, 37(2), 95–121

    Google Scholar 

  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834

    Article  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5

    Article  Google Scholar 

  • Commission on Social Determinants of Health (2008). Closing the gap in a generation. World Health Organization. Closing the gap in a generation: health equity through action on the social determinants of health - Final report of the commission on social determinants of health (who.int)

  • Conger, R. D., Conger, K. J., & Martin, M. J. (2010). Socioeconomic status, family processes, and individual development. Journal of Marriage and the Family, 72(3), 685–704. https://doi.org/10.1111/j.1741-3737.2010.00725.x

    Article  Google Scholar 

  • Conger, R. D., Martin, M. J., Masarik, A. S., Widaman, K. F., & Donnellan, M. B. (2015). Social and economic antecedents and consequences of adolescent aggressive personality: Predictions from the interactionist model. Development and Psychopathology, 27(4 Pt), 1111–1127. https://doi.org/10.1017/S0954579415000711

    Article  Google Scholar 

  • Davies, N. M., Dickson, M., Davey Smith, G. D., Van den Berg, G. J., & Windmeijer, F. (2018). The causal effects of education on health outcomes in the UK Biobank. Nature Human Behaviour, 2(2), 117–125. https://doi.org/10.1038/s41562-017-0279-y

    Article  Google Scholar 

  • Dean, E. E., Shogren, K. A., Hagiwara, M., & Wehmeyer, M. L. (2018). How does employment influence health outcomes? A systematic review of the intellectual disability literature. Journal of Vocational Rehabilitation, 49(1), 1–13. https://doi.org/10.3233/JVR-180950

    Article  Google Scholar 

  • Ding, W., Lehrer, S. F., Rosenquist, J. N., & Audrain-McGovern, J. (2009). The impact of poor health on academic performance: New evidence using genetic markers. Journal of Health Economics, 28(3), 578–597. https://doi.org/10.1016/j.jhealeco.2008.11.006

    Article  Google Scholar 

  • Ebbinghaus, B., & Radl, J. (2015). Pushed out prematurely? Comparing objectively forced exits and subjective assessments of involuntary retirement across Europe. Research in Social Stratification and Mobility, 41, 115–130. https://doi.org/10.1016/j.rssm.2015.04.001

    Article  Google Scholar 

  • Eide, E. R., Showalter, M. H., & Goldhaber, D. D. (2010). The relation between children’s health and academic achievement. Children and Youth Services Review, 32(2), 231–238. https://doi.org/10.1016/j.childyouth.2009.08.019

    Article  Google Scholar 

  • Franke, S., & Kulu, H. (2018). Mortality differences by partnership status in England and Wales: The Effect of Living Arrangements or Health Selection? European Journal of Population, 34, 87–118. https://doi.org/10.1007/s10680-017-9423-7

    Article  Google Scholar 

  • Galama, T. J., & Van Kippersluis, H. (2019). A theory of socio-economic disparities in health over the life cycle. Economic Journal, 129(617), 338–374. https://doi.org/10.1111/ecoj.12577

    Article  Google Scholar 

  • Giddens, A., & Sutton, P. W. (2014). Essential concepts in sociology. Polity Press

  • Gorry, A., Gorry, D., & Slavov, S. N. (2018). Does retirement improve health and life satisfaction? Health Economics, 27(12), 2067–2086. https://doi.org/10.1002/hec.3821

    Article  Google Scholar 

  • Gottlieb, D. H., Rosso, D., Sheikhi, L. D., Gottlieb, F., McCowan, A., B., & Capitanio, J. P. (2018). Personality, environmental stressors, and diarrhea in rhesus macaques: An interactionist perspective. American Journal of Primatology, 80(12), e22908. https://doi.org/10.1002/ajp.22908

    Article  Google Scholar 

  • Gupta, A. E., & Huston, A. C. (2009). Depressive symptoms and economic outcomes of low-income women: A review of the social causation, social selection, and interactionist hypotheses. Social Issues and Policy Review, 3(1), 103–140. https://doi.org/10.1111/j.1751-2409.2009.01012.x

    Article  Google Scholar 

  • Hahn, R. A., & Truman, B. I. (2015). Education improves public health and promotes health equity. International Journal of Health Services: Planning Administration Evaluation, 45(4), 657–678. https://doi.org/10.1177/0020731415585986

    Article  Google Scholar 

  • Lee, H. S., Kwak, M. J., & Kim, M. J. (2013). The changes of household economic structures according to retirement. Journal of Consumption Culture, 16(2), 171–200. https://doi.org/10.17053/jcc.2013.16.2.008

    Article  Google Scholar 

  • Heggebø, K. (2015). Unemployment in Scandinavia during an economic crisis: Cross-national differences in health selection. Social Science and Medicine, 130, 115–124. https://doi.org/10.1016/j.socscimed.2015.02.010

    Article  Google Scholar 

  • Hoffmann, R., Kröger, H., & Geyer, S. (2019). Social causation versus health selection in the life course: Does their relative importance differ by dimension of SES? Social Indicators Research, 141(3), 1341–1367. https://doi.org/10.1007/s11205-018-1871-x

    Article  Google Scholar 

  • Holman, D., & Walker, A. (2018). Social Quality and Health: Examining Individual and Neighbourhood Contextual Effects Using a Multilevel Modelling Approach. Social Indicators Research, 138(1), 245–270. https://doi.org/10.1007/s11205-017-1640-2

    Article  Google Scholar 

  • Hong, K. J. (2004). Dynamic analysis of poverty: Focusing on the length of poverty spells. Korean Journal of Social Welfare Studies, 24, 187–210

    Google Scholar 

  • Hong, S. H. (2007). Theory and practice of structural equation modeling. Advanced Research Methodology Workshop Series. Seoul, Korea: Yonsei University Graduate School of Social Welfare

    Google Scholar 

  • Hong, S. H. (2010). Structural equation modeling: Intermediate. Professor Sehee Hong’s advanced research methodology workshop (8.). Seoul, Korea: S & M Research Group

    Google Scholar 

  • Hong, S. H., Kim, W. J., & Park, M. S. (2007). Testing the autoregressive cross-lagged effects between adolescents’ internet addiction and communication with parents: Multigroup analysis across gender. Korean Journal of Educational Psychology, 21(1), 129–143

    Google Scholar 

  • Huber, M., Knottnerus, J. A., Green, L., van der Horst, H., Jadad, A. R., Kromhout, D., Leonard, B., Lorig, K., Loureiro, M. I., van der Meer, J. W. M., Schnabel, P., Smith, R., van Weel, C., & Smid, H. (2011). How should we define health? Bmj, 343, d4163. https://doi.org/10.1136/bmj.d4163

    Article  Google Scholar 

  • Im, J. S. (2010). The Longitudinal Relationship between Depression and Aggression in Adolesecnts Adapting the Autoregressive Cross-lagged Model. Korean Journal of Social Welfare, 62(2), 161–185

    Article  Google Scholar 

  • Jackson, M. I. (2015). Cumulative inequality in child health and academic achievement. Journal of Health and Social Behavior, 56(2), 262–280. https://doi.org/10.1177/0022146515581857

    Article  Google Scholar 

  • Jeon, H. S. (2014). A study on longitudinal relationship between income and health among the individuals with disabilities: Focusing on age differences. Disability & Employment, 24(4), 50–70. https://doi.org/10.15707/disem.2014.24.4.003

    Article  Google Scholar 

  • Ji, E. J. (2006). Middle-old age’s retirement transition, old age income security and the support of gradual retirement. Korean Journal of Social Welfare, 58(3), 135–168

    Google Scholar 

  • Jung, E. H. (2018). A longitudinal study of the reciprocal relationship between depression and income in Korean society - Focused on a test of social causation and selection hypothesis. Mental Health & Social Work, 46(2), 150–178. https://doi.org/10.24301/MHSW.2018.06.46.2.150

    Article  Google Scholar 

  • Jung, Y., Oh, J., Huh, S., & Kawachi, I. (2013). The effects of employment conditions on smoking status and smoking intensity: The analysis of Korean labor & income panel 8(th)-10(th) wave. PLOS ONE, 8(2), e57109. https://doi.org/10.1371/journal.pone.0057109

    Article  Google Scholar 

  • Kahng, S. K., & Kwon, T. Y. (2008). An exploratory study on the effects of socioeconomic status on depressive symptoms across lifespan. Mental Health & Social Work, 30, 332–355

    Google Scholar 

  • Kho, H. J., & Joung, S. H. (2013). A study on the typology of Korean retirees by using the method of mixture model. Journal of Consumption Culture, 16(1), 61–88. https://doi.org/10.17053/jcc.2013.16.1.004

    Article  Google Scholar 

  • Kiely, K. M., & Butterworth, P. (2014). Mental health selection and income support dynamics: Multiple spell discrete-time survival analyses of welfare receipt. Journal of Epidemiology and Community Health, 68(4), 349–355. https://doi.org/10.1136/jech-2013-203179

    Article  Google Scholar 

  • Kim, C. Y., Kim, M. H., Lee, T. J., & Son, J. I. (2015). Health inequality in Korea. Seoul National University Press

  • Kim, D. H., & Um, M. Y. (2016). An Empirical Test of the Interactionist Model on the Relationship Between Household Income, Main Caregiver Depression, and Youth Aggression. Korean Journal of Social Welfare Studies, 47(1), 151–178

    Article  Google Scholar 

  • Kim, J. Y., Choi, S. M., Seo, K. H., Cho, S. J., Kim, J. K., & Cho, M. J. (2000). Factor structure of the Center for Epidemiologic Studies Depression Scale (CES-D) – Cultural difference in expressing depressive symptoms in Koreans. Korean Journal of Psychopathology, 9(1), 78–87

    Google Scholar 

  • Kim, K. J., Conger, R. D., Elder, G. H. Jr., & Lorenz, F. O. (2003). Reciprocal influences between stressful life events and adolescent internalizing and externalizing problems. Child Development, 74(1), 127–143. https://doi.org/10.1111/1467-8624.00525

    Article  Google Scholar 

  • Kim, M. J. (2011). Income adequacy according to a change in level for incomes and expenditures of retirement households. Journal of Financial Planning Review, 4(2), 83–109

    Google Scholar 

  • Kim, T. S., & Son, B. D. (2016). Poverty theory. Hyungjisa

  • Kim, Y. J., & Jeong, M. K. (2018). Predictors of physical health trajectory among middle- and older adults- Focusing on impacts of retirement characteristics-. Journal of Community Welfare, 64, 1–24. https://doi.org/10.15300/jcw.2018.64.1.1

    Article  Google Scholar 

  • Kim, Y. J. (2016). A study on depression level following different retirement types in middle and late life [Master’s thesis. Seoul National University]. RISS, Retrieved from http://www.riss.kr.access.yonsei.ac.kr/link?id=T14227687

  • Koo, I. H. (2003). Economic crisis and adolescent development: The effect of family economic loss on adolescents’ educational attainment. Korean Journal of Social Welfare, 53(1), 7–30

    Google Scholar 

  • Korean Society for Equity in Health. (2007). Methods in health inequalities measurement. Hanul Academy

  • Kröger, H., Pakpahan, E., & Hoffmann, R. (2015). What causes health inequality? A systematic review on the relative importance of social causation and health selection. European Journal of Public Health, 25(6), 951–960. https://doi.org/10.1093/eurpub/ckv111

    Article  Google Scholar 

  • Kuusi, T., Martikainen, P., & Valkonen, T. (2019). The influence of old-age retirement on health. ETLA Working Papers, 67

  • Kwon, H. C., Song, H. J., Lee, E. Y., Im, R., Park, S. H., & Jeong, H. S. (2011). The 4th economic life and preparation for retirement of middle aged and elderly in Korea – Korean Retirement and Income Study Panel Analysis report. National Pension Research Institute

  • Lee, A. Y. (2018). The effects of retirement on mental health and cognitive function. Health Welfare Issue & Focus, 357, 1–8

    Google Scholar 

  • Lee, H. N., & Park, D. B. (2012). A study on poverty, deprivation, isolation and life satisfaction among disable and nondisabled household. Journal of Rehabilitation Research, 16(1), 1–23

    Article  Google Scholar 

  • Lee, S. W. (2009). Comparing poverty rates of households with and without disabled people based on income and consumption- Using the standard of living approach-. Korean Journal of Social Welfare Studies, 40(4), 431–452. https://doi.org/10.16999/kasws.2009.40.4.431

    Article  Google Scholar 

  • Lee, T. K., Wickrama, K. A. S., & Simons, L. G. (2013). Chronic family economic hardship, family processes and progression of mental and physical health symptoms in adolescence. Journal of Youth and Adolescence, 42(6), 821–836. https://doi.org/10.1007/s10964-012-9808-1

    Article  Google Scholar 

  • Lee, W., & Kim, D. K. (2015). A study on the factors affecting self-rated health of people with disabilities: Focusing on social exclusion and socioeconomic status. Korean Journal of Social Welfare Research, 47, 133–158

    Google Scholar 

  • Lee, W., & Im, R. (2014). Study for the relationship between perceptions of inequality and deprivation in Korea: Focusing on the mediating role of depression. Health and Social Welfare Review, 34(4), 93–122. https://doi.org/10.15709/hswr.2014.34.4.93

    Article  Google Scholar 

  • Liu, Y., Zhao, Y., Song, H., & Tang, K. (2018). Social inequity in health awareness and its association with health service utilization in ethnic conflict regions in northeastern Myanmar. Journal of Public Health, 26(3), 301–308. https://doi.org/10.1007/s10389-017-0867-3

    Article  Google Scholar 

  • Lo, L. W. T., & Chan, H. M. L. (2014). An empirical study of the retirement and bridge employment intentions of older workers. International Journal of Research Studies in Management, 3(2), 13–31. https://doi.org/10.5861/ijrsm.2014.863

    Article  Google Scholar 

  • MacKinnon, D. (2008). Introduction to statistical mediation analysis. Routledge

  • Malik, S., & Azeem, M. W. (2017). Pediatric depression: The latest in diagnosis and treatment. Psychiatric Annals, 47(10), 502–506. https://doi.org/10.3928/00485713-20170911-01

    Article  Google Scholar 

  • Malo, M. A., & Muñoz-Bullón, F. (2008). Long-term effects of involuntary job separations on labour careers. Journal of Socio-Economics, 37(2), 767–788. https://doi.org/10.1016/j.socec.2006.12.048

    Article  Google Scholar 

  • Marmot, M. (2004). The Status Syndrome: How social standings affects our health and longevity. Bloomsbury Publishing

  • Marmot, M. (2015). The health gap. Bloomsbury Publishing

  • Mazzonna, F., & Peracchi, F. (2017). Unhealthy retirement? Journal of Human Resources, 52(1), 128–151. https://doi.org/10.3368/jhr.52.1.0914-6627R1

    Article  Google Scholar 

  • McKenzie, S. K., Imlach Gunasekara, F. I., Richardson, K., & Carter, K. (2014). Do changes in socioeconomic factors lead to changes in mental health? Findings from three waves of a population based panel study. Journal of Epidemiology and Community Health, 68(3), 253–260. https://doi.org/10.1136/jech-2013-203013

    Article  Google Scholar 

  • Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. https://doi.org/10.1037/0021-9010.93.3.568

    Article  Google Scholar 

  • National Pension Research Institute. (2017). Korean retirement and income study user guide. National Pension Service. êµ­ë¯¼ì„ ë“ ë“ íê²ì°ê¸ì„ í¼í¼íê². (nps.or.kr)

  • Nordenfelt, L. (2007). The concepts of health and illness revisited. Medicine Health Care and Philosophy, 10(1), 5–10. https://doi.org/10.1007/s11019-006-9017-3

    Article  Google Scholar 

  • Norström, F., Virtanen, P., Hammarström, A., Gustafsson, P. E., & Janlert, U. (2014). How does unemployment affect self-assessed health? A systematic review focusing on subgroup effects. Bmc Public Health, 14(1), 1310. https://doi.org/10.1186/1471-2458-14-1310

    Article  Google Scholar 

  • Organization for Economic Cooperation and Development. (2018). OECD economic surveys: Korea. Paris: OECD. https://doi.org/10.1787/eco_surveys-kor-2018-en

    Book  Google Scholar 

  • Park, H. J., & Kang, M. Y. (2016). Effects of voluntary/involuntary retirement on their own and spouses’ depressive symptoms. Comprehensive Psychiatry, 66, 1–8. https://doi.org/10.1016/j.comppsych.2015.11.009

    Article  Google Scholar 

  • Park, K. S. (2004). Age gap and inequality in labor. In H. N. Bang (Ed.), Inequality in contemporary Korean society, (pp. 172–218). Hanul Academy

  • Pickett, K. E., & Wilkinson, R. G. (2015). Income inequality and health: A causal review. Social Science and Medicine, 128, 316–326. https://doi.org/10.1016/j.socscimed.2014.12.031

    Article  Google Scholar 

  • Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306

    Article  Google Scholar 

  • Reiss, F. (2013). Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review. Social Science and Medicine, 90, 24–31. https://doi.org/10.1016/j.socscimed.2013.04.026

    Article  Google Scholar 

  • Rudolph, K. D., Hammen, C., & Daley, S. E. (2006). Mood disorders. In D. A. Wolfe, & E. J. Mash (Eds.), Behavioral and emotional disorders in adolescents: Nature, assessment, and treatment (pp. 300–342). Guilford Press

  • Sen, A. (2002). Why health equity? Health Economics, 11(8), 659–666, Retrieved from https://doio.org/10.1002/hec.762. https://doi.org/10.1002/hec.762

  • Sheppard, F. H. (2018). Retirement: A concept for nurses to consider. Nursing Forum, 53(4), 498–503. https://doi.org/10.1111/nuf.12278

    Article  Google Scholar 

  • Statistics Korea (2014). Economic activity population survey: Results of additional survey of young and older people, 2014, Retrieved from https://kostat.go.kr/portal/korea/kor_nw/1/3/2/index.board

  • Taylor, P., & Earl, C. (2016). The social construction of retirement and evolving policy discourse of working longer. Journal of Social Policy, 45(2), 251–268. https://doi.org/10.1017/S0047279415000665

    Article  Google Scholar 

  • Therborn, G. (2013). The killing fields of inequality. Polity Press

  • Thorley, C. (2016). Education, education, mental health: Supporting secondary schools to play a central role in early intervention mental health services. Institute for Public Policy Research

  • Torssander, J., & Erikson, R. (2010). Stratification and mortality—A comparison of education, class, status, and income. European Sociological Review, 26(4), 465–474. https://doi.org/10.1093/esr/jcp034

    Article  Google Scholar 

  • Van den Bogaard, L., Henkens, K., & Kalmijn, M. (2014). So now what? Effects of retirement on civic engagement. Ageing and Society, 34(7), 1170–1192. https://doi.org/10.1017/S0144686X13000019

    Article  Google Scholar 

  • Van den Bogaard, L., Henkens, K., & Kalmijn, M. (2016). Retirement as a relief? The role of physical job demands and psychological job stress for effects of retirement on self-rated health. European Sociological Review, 32(2), 295–306. https://doi.org/10.1093/esr/jcv135

    Article  Google Scholar 

  • Van Zon, S. K. R., Reijneveld, S. A., Mendes de Leon, C. F. M., & Bültmann, U. (2017). The impact of low education and poor health on unemployment varies by work life stage. International Journal of Public Health, 62(9), 997–1006. https://doi.org/10.1007/s00038-017-0972-7

    Article  Google Scholar 

  • Von Bonsdorff, M. E., Shultz, K. S., Leskinen, E., & Tansky, J. (2009). The choice between retirement and bridge employment: A continuity theory and life course perspective. International Journal of Aging and Human Development, 69(2), 79–100. https://doi.org/10.2190/AG.69.2.a

    Article  Google Scholar 

  • Warr, P., Butcher, V., Robertson, I., & Callinan, M. (2004). Older people’s well-being as a function of employment, retirement, environmental characteristics and role preference. British Journal of Psychology, 95(3), 297–324. https://doi.org/10.1348/0007126041528095

    Article  Google Scholar 

  • West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications, (pp. 56–75). Sage

  • Wickham, S., Barr, B., & Taylor-Robinson, D. (2016). Impact of moving into poverty on maternal and child mental health: Longitudinal analysis of the Millennium Cohort Study. The Lancet, 388, 4. https://doi.org/10.1016/S0140-6736(16)32240-1

    Article  Google Scholar 

  • Wilkinson, R. G. (1996). Unhealthy societies: The affliction of inequality. Routledge

  • Wilkinson, R. G. (2005). The impact of inequality: How to make sick societies healthier. Routledge

  • Wilkinson, R. G., & Pickett, K. E. (2018). The inner level. Penguin Books Ltd

  • Yoon, S. Y., & Kim, T. W. (2009). The impact of disability costs on the poverty rate of the households with the disabled members. Journal of Rehabilitation Research, 13(1), 61–83

    Google Scholar 

  • Zaniboni, S., Sarchielli, G., & Fraccaroli, F. (2010). How are psychosocial factors related to retirement intentions? International Journal of Manpower, 31(3), 271–285. https://doi.org/10.1108/01437721011050576

    Article  Google Scholar 

  • Zhan, Y., Wang, M., Liu, S., & Shultz, K. S. (2009). Bridge employment and retirees’ health: A longitudinal investigation. Journal of Occupational Health Psychology, 14(4), 374–389. https://doi.org/10.1037/a0015285

    Article  Google Scholar 

  • Zhao, Y., Tang, K., Li, B., & Zhang, S. (2018). Health inequity in the post-conflict ethnic regions of northeastern Myanmar: A cross-sectional survey. The Lancet Global Health, 6, 6. https://doi.org/10.1016/S2214-109X(18)30135-9

    Article  Google Scholar 

  • Zhu, R. (2016). Retirement and its consequences for women’s health in Australia. Social Science and Medicine, 163, 117–125. https://doi.org/10.1016/j.socscimed.2016.04.003

    Article  Google Scholar 

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Acknowledgements

This work is a revised and supplemented version of the paper presented at the 6th Korean Retirement and Income Study (KReIS) conference.

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Lee, W., Im, R. An Empirical Assessment of the Interactionist Model: The Relationship Between Household Income and Depression Among Retirees in Korea. Applied Research Quality Life 18, 729–751 (2023). https://doi.org/10.1007/s11482-022-10096-2

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  • DOI: https://doi.org/10.1007/s11482-022-10096-2

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