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The relationships among family income, parental depression, and adolescent aggression in South Korea: A latent growth mediation model

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  • Kim, Dong Ha
  • Um, Myung-Yong

Abstract

Although the Family Stress Model is well-established with many examples, there is relatively little information about South Korean families, which are known for greater bonding between parents and adolescents. The current study examined whether changes in parents' depression would mediate the relationship between income dynamics and youth development changes in South Korea. The participants were 561 families who had completed the Korean Welfare Panel Study at three time points that covered the full span from elementary to high school. A latent growth mediation model was used, and the results indicated that 1) family income was associated with parental depression and youth aggression over time and 2) early parental depression fully mediated the relationship between early family income and subsequent youth aggression rates over time. These findings have major implications for policies and interventions with regard to low-income South Korean families.

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  • Kim, Dong Ha & Um, Myung-Yong, 2018. "The relationships among family income, parental depression, and adolescent aggression in South Korea: A latent growth mediation model," Children and Youth Services Review, Elsevier, vol. 84(C), pages 168-175.
    • Handle: RePEc:eee:cysrev:v:84:y:2018:i:c:p:168-175
    DOI: 10.1016/j.childyouth.2017.11.025
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    References listed on IDEAS

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    1. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
    2. Kozyrskyj, A.L. & Kendall, G.E. & Jacoby, P. & Sly, P.D. & Zubrick, S.R., 2010. "Association between socioeconomic status and the development of asthma: Analyses of income trajectories," American Journal of Public Health, American Public Health Association, vol. 100(3), pages 540-546.
    3. Um, Myung-Yong & Kim, Dong Ha, 2015. "The influence of adolescent physical abuse on school adjustment in South Korea: The mediating effects of perceived parenting types," Children and Youth Services Review, Elsevier, vol. 59(C), pages 89-96.
    4. Frederick J. Zimmerman & Wayne Katon, 2005. "Socioeconomic status, depression disparities, and financial strain: what lies behind the income‐depression relationship?," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1197-1215, December.
    5. Dearing, E. & Taylor, B.A. & McCartney, K., 2004. "Implications of family income dynamics for women's depressive symptoms during the first 3 years after childbirth," American Journal of Public Health, American Public Health Association, vol. 94(8), pages 1372-1377.
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    Cited by:

    1. Zhiyou Wang & Chunkai Li & Kaikai Ai, 2022. "Family Economic Strain and Adolescent Aggression during the COVID-19 Pandemic: Roles of Interparental Conflict and Parent–Child Conflict," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2369-2385, August.
    2. Lee, Hana, 2022. "Family economic hardship and children’s behavioral and socio-emotional outcomes in middle childhood: Direct and indirect pathways," Children and Youth Services Review, Elsevier, vol. 138(C).

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