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Determining risk for child physical harm through the classification of economic insecurity

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  • Conrad-Hiebner, Aislinn
  • Paschall, Katherine W.

Abstract

Children in economically insecure families are more likely to experience physical harm compared with children in economically secure families. It is unclear, however, if particular combinations of economic insecurity are more or less predictive of child physical harm. This study aimed to 1) identify and describe the prevalence of distinct combinations, or classes, of economic insecurity (public and private income transfers, bill-paying, housing, food, and medical hardships), 2) and to associate these classes with child physical harm (spanking, hitting, slapping, shaking, pinching). We employed latent class analysis with age 5 data from the Fragile Families and Child Well-Being Study (N=4133), finding that four latent classes of economic insecurity differentially predict the prevalence and chronicity of physical harm behaviors. Mothers who reported hardship perpetrated more child physical harm than mothers who received income transfers but reported no hardship. Implications for research, policy, and practice are discussed.

Suggested Citation

  • Conrad-Hiebner, Aislinn & Paschall, Katherine W., 2017. "Determining risk for child physical harm through the classification of economic insecurity," Children and Youth Services Review, Elsevier, vol. 78(C), pages 161-169.
  • Handle: RePEc:eee:cysrev:v:78:y:2017:i:c:p:161-169
    DOI: 10.1016/j.childyouth.2017.05.016
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    References listed on IDEAS

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    Cited by:

    1. Wan, Guowei & Tang, Sisi & Xu, Yicheng, 2020. "The prevalence, posttraumatic depression and risk factors of domestic child maltreatment in rural China: A gender analysis," Children and Youth Services Review, Elsevier, vol. 116(C).
    2. Emily Keddell & Gabrielle Davie, 2018. "Inequalities and Child Protection System Contact in Aotearoa New Zealand: Developing a Conceptual Framework and Research Agenda," Social Sciences, MDPI, vol. 7(6), pages 1-14, June.
    3. Francesca Giambona & Laura Grassini & Daniele Vignoli, 2022. "Detecting economic insecurity in Italy: a latent transition modelling approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 815-846, October.

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