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Exploring dimensions of childhood adversity as predictors of psychological adjustment among adolescents involved in the child welfare system: A latent profile analysis

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  • Tomlinson, Camie A.
  • McDonald, Shelby E.
  • Brown, Samantha M.
  • Shin, Sunny H.

Abstract

Child welfare-involved youth experience elevated rates of psychological maladjustment. Few studies have examined whether there are latent subgroups of youth who experience similar patterns of psychological adjustment. Toadvance understanding of the promotion of adjustment among this marginalized population, the current study addressed this gap by conducting a latent profile analysis of psychological symptoms. Once the identified latent profiles were identified, we examined relations between sociodemographic characteristics and adversity experiences among a nationally representative sample of 1,048 child welfare-involved adolescents (11–17 years). We used a 3-step approach to examine whether dimensions of adversity predict profile membership. We identified two distinct subgroups: “comorbid internalizing and externalizing symptoms” (18%) and “non-clinical symptoms” (82%). The comorbid subgroup was characterized by scores within the clinically significant or borderline range for all indicators. Results of the logistic regression suggested that for every additional threat adversity experienced (e.g., exposure to violence, such as physical abuse), youth were 1.7 times more likely to be in the comorbid subgroup than the non-clinical subgroup. However, deprivation (e.g., unfulfilled physical, emotional, or social needs, such as physical neglect) was not a significant predictor of profile membership. Our findings highlight the importance of preventing exposure to threat-related adversity and building our understanding of psychological adjustment among child welfare-involved adolescents to promote positive psychological outcomes in this population.

Suggested Citation

  • Tomlinson, Camie A. & McDonald, Shelby E. & Brown, Samantha M. & Shin, Sunny H., 2023. "Exploring dimensions of childhood adversity as predictors of psychological adjustment among adolescents involved in the child welfare system: A latent profile analysis," Children and Youth Services Review, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:cysrev:v:155:y:2023:i:c:s0190740923004383
    DOI: 10.1016/j.childyouth.2023.107242
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    References listed on IDEAS

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    1. Ryan, Joseph P. & Testa, Mark F., 2005. "Child maltreatment and juvenile delinquency: Investigating the role of placement and placement instability," Children and Youth Services Review, Elsevier, vol. 27(3), pages 227-249, March.
    2. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    3. Hambrick, Erin P. & Oppenheim-Weller, Shani & N'zi, Amanda M. & Taussig, Heather N., 2016. "Mental health interventions for children in foster care: A systematic review," Children and Youth Services Review, Elsevier, vol. 70(C), pages 65-77.
    4. Keller, Thomas E. & Salazar, Amy M. & Courtney, Mark E., 2010. "Prevalence and timing of diagnosable mental health, alcohol, and substance use problems among older adolescents in the child welfare system," Children and Youth Services Review, Elsevier, vol. 32(4), pages 626-634, April.
    5. Rebbe, Rebecca & Nurius, Paula S. & Ahrens, Kym R. & Courtney, Mark E., 2017. "Adverse childhood experiences among youth aging out of foster care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 74(C), pages 108-116.
    6. W. Gibson, 1959. "Three multivariate models: Factor analysis, latent structure analysis, and latent profile analysis," Psychometrika, Springer;The Psychometric Society, vol. 24(3), pages 229-252, September.
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