IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v84y2018icp168-175.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740917305820
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2017.11.025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
    2. Yih-Ing Hser & Haikang Shen & Chih-Ping Chou & Stephen C. Messer & M. Douglas Anglin, 2001. "Analytic Approaches for Assessing Long-Term Treatment Effects," Evaluation Review, , vol. 25(2), pages 233-262, April.
    3. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    4. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    5. Laura Castro-Schilo & Barbara L. Fredrickson & Dan Mungas, 2019. "Association of Positive Affect with Cognitive Health and Decline for Elder Mexican Americans," Journal of Happiness Studies, Springer, vol. 20(8), pages 2385-2400, December.
    6. Chun Wang & Steven W. Nydick, 2020. "On Longitudinal Item Response Theory Models: A Didactic," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 339-368, June.
    7. Eldad Davidov & Stefan Thörner & Peter Schmidt & Stefanie Gosen & Carina Wolf, 2011. "Level and change of group-focused enmity in Germany: unconditional and conditional latent growth curve models with four panel waves," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 481-500, December.
    8. Pietro Lovaglio & Mario Mezzanzanica, 2013. "Classification of longitudinal career paths," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 989-1008, February.
    9. Min Ji Kim & Namwoo Kim & Daun Shin & Sang Jin Rhee & C Hyung Keun Park & Hyeyoung Kim & Sung Joon Cho & Jae Won Lee & Eun Young Kim & Boram Yang & Yong Min Ahn, 2019. "The epidemiology of antidepressant use in South Korea: Does short-term antidepressant use affect the relapse and recurrence of depressive episodes?," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
    10. Kirsten Rasmussen & Elizabeth K. Sigler & Sadie A. Slighting & Jonathan A. Jarvis & Mikaela J. Dufur & Shana Pribesh, 2022. "Family Structure and Maternal Depressive Symptoms: A Cross-National Comparison of Australia, the United Kingdom, and the United States," Social Sciences, MDPI, vol. 11(2), pages 1-21, February.
    11. Shu Xu & Shelley A. Blozis, 2011. "Sensitivity Analysis of Mixed Models for Incomplete Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 36(2), pages 237-256, April.
    12. Ke-Hai Yuan & Peter Bentler, 2006. "Mean Comparison: Manifest Variable Versus Latent Variable," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 139-159, March.
    13. Jens Hoebel & Ulrike E Maske & Hajo Zeeb & Thomas Lampert, 2017. "Social Inequalities and Depressive Symptoms in Adults: The Role of Objective and Subjective Socioeconomic Status," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.
    14. Manuel, Jennifer I. & Martinson, Melissa L. & Bledsoe-Mansori, Sarah E. & Bellamy, Jennifer L., 2012. "The influence of stress and social support on depressive symptoms in mothers with young children," Social Science & Medicine, Elsevier, vol. 75(11), pages 2013-2020.
    15. Vicki L. Bogan & Angela R. Fertig, 2013. "Portfolio Choice and Mental Health," Review of Finance, European Finance Association, vol. 17(3), pages 955-992.
    16. Thi Thao Nguyen & Kim Huong Nguyen & Nicholas Rohde, 2024. "Economic Disparities, Life Events, and the Gender Mental Health Gap," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(3), pages 1053-1100, September.
    17. Sun-Pyo Lee & Kyungji Kim & Sungbum Park, 2023. "Investigating the Market Success of Software-as-a-Service Providers: the Multivariate Latent Growth Curve Model Approach," Information Systems Frontiers, Springer, vol. 25(2), pages 639-658, April.
    18. Fabrizio Bernardi & Risto Conte Keivabu, 2023. "Poor air at school and educational inequalities by family socioeconomic status," MPIDR Working Papers WP-2023-014, Max Planck Institute for Demographic Research, Rostock, Germany.
    19. Natalia Melgar & Máximo Rossi, 2012. "A Cross‐Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels," American Journal of Economics and Sociology, Wiley Blackwell, vol. 71(2), pages 354-376, April.
    20. Georg Henning & Graciela Muniz-Terrera & Andreas Stenling & Martin Hyde, 2024. "Job satisfaction declines before retirement in Germany," European Journal of Ageing, Springer, vol. 21(1), pages 1-11, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:84:y:2018:i:c:p:168-175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.