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Patterns of adverse childhood experiences and community environments

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  • Lee, Hye Yeon
  • Kim, Isak

Abstract

This study examined patterns of adverse childhood experience and its association with community environments. Using the 2020 National Survey of Children’s Health (NSCH) data, 30,056 children who are 6–17 years of age were our samples for the investigation. Among them, 14,026 children with at least one Adverse Childhood Experience (ACE) were profiled through latent cluster analysis. We found four classes of ACEs: separation/divorce, multiple low-risk, multiple high-risk, and alcohol/drug problem. Moreover, controlling for socio-demographic variables (i.e., race/ethnicity, the highest education level of primary caregiver in a household), we found significant differences in the quality of supportive neighborhoods and the number of positive and adverse community amenities across children categorized into four classes of ACEs and no ACE class (i.e., children without ACEs, n = 16,030). Implications for research on ACEs and their association with the community environment are discussed.

Suggested Citation

  • Lee, Hye Yeon & Kim, Isak, 2024. "Patterns of adverse childhood experiences and community environments," Children and Youth Services Review, Elsevier, vol. 164(C).
  • Handle: RePEc:eee:cysrev:v:164:y:2024:i:c:s0190740924004316
    DOI: 10.1016/j.childyouth.2024.107859
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    References listed on IDEAS

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    1. Metzler, Marilyn & Merrick, Melissa T. & Klevens, Joanne & Ports, Katie A. & Ford, Derek C., 2017. "Adverse childhood experiences and life opportunities: Shifting the narrative," Children and Youth Services Review, Elsevier, vol. 72(C), pages 141-149.
    2. Gilles Celeux & Gilda Soromenho, 1996. "An entropy criterion for assessing the number of clusters in a mixture model," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 195-212, September.
    3. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    4. Lee, Hye Yeon & Kim, Isak & Nam, Sojeong & Jeong, Jeongwoon, 2020. "Adverse childhood experiences and the associations with depression and anxiety in adolescents," Children and Youth Services Review, Elsevier, vol. 111(C).
    5. Kristin Anderson Moore & Alysha Ramirez, 2016. "Adverse Childhood Experience and Adolescent Well-being: Do Protective Factors Matter?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(2), pages 299-316, June.
    6. Kim, Isak & Galván, Angélica & Kim, Nayoung, 2021. "Independent and cumulative impacts of adverse childhood experiences on adolescent subgroups of anxiety and depression," Children and Youth Services Review, Elsevier, vol. 122(C).
    7. Piquero, Alex R. & Jennings, Wesley G. & Jemison, Erin & Kaukinen, Catherine & Knaul, Felicia Marie, 2021. "Domestic violence during the COVID-19 pandemic - Evidence from a systematic review and meta-analysis," Journal of Criminal Justice, Elsevier, vol. 74(C).
    8. A Jess Williams & Christopher Jones & Jon Arcelus & Ellen Townsend & Aikaterini Lazaridou & Maria Michail, 2021. "A systematic review and meta-analysis of victimisation and mental health prevalence among LGBTQ+ young people with experiences of self-harm and suicide," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-26, January.
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