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Economic predictors of child maltreatment in an Australian population-based birth cohort

Author

Listed:
  • Doidge, James C
  • Higgins, Daryl J
  • Delfabbro, Paul
  • Edwards, Ben
  • Vassallo, Suzanne
  • Toumbourou, John W
  • Segal, Leonie

Abstract

A correlation between socioeconomic disadvantage and child maltreatment has long been observed, but the drivers of this association are poorly understood. We sought to estimate the effects of economic factors on risk of child maltreatment after adjusting for other known influences using the Australian Temperament Project, a population-based birth cohort of 2443 individuals and their parents. We used logistic regression to estimate associations of childhood economic factors (parental education, occupation, and unemployment; type of housing; and retrospective perception of poverty) with retrospective reports of perceived child maltreatment (physical abuse, sexual abuse, emotional abuse, neglect, and witnessing of domestic violence), controlling for demographic factors, parental mental health and substance use, and child health. We then used these estimates to approximate the proportions of child maltreatment—population attributable fractions—that are theoretically preventable by addressing childhood economic disadvantage. Economic factors were associated with all types of child maltreatment. For the most part, these associations diminished only partially when controlling for noneconomic confounders, supporting hypotheses of causal relationships. Jointly, economic factors were significant predictors of physical abuse, sexual abuse, and witnessing of domestic violence but not of emotional abuse or neglect. Retrospective perceptions of childhood poverty were, in particular, strongly associated with most forms of child maltreatment but not with sexual abuse after accounting for other economic factors. We estimated that 27% of all child maltreatment was jointly attributable to economic factors. These findings suggest that strategies that reduce economic disadvantage are likely to hold significant potential to reduce the prevalence of child maltreatment.

Suggested Citation

  • Doidge, James C & Higgins, Daryl J & Delfabbro, Paul & Edwards, Ben & Vassallo, Suzanne & Toumbourou, John W & Segal, Leonie, 2017. "Economic predictors of child maltreatment in an Australian population-based birth cohort," Children and Youth Services Review, Elsevier, vol. 72(C), pages 14-25.
  • Handle: RePEc:eee:cysrev:v:72:y:2017:i:c:p:14-25
    DOI: 10.1016/j.childyouth.2016.10.012
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    References listed on IDEAS

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    1. Lawrence M. Berger & Jane Waldfogel, 2011. "Economic Determinants and Consequences of Child Maltreatment," OECD Social, Employment and Migration Working Papers 111, OECD Publishing.
    2. Lee, Bong Joo & Goerge, Robert M., 1999. "Poverty, early childbearing, and child maltreatment: A multinomial analysis," Children and Youth Services Review, Elsevier, vol. 21(9-10), pages 755-780.
    3. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.
    4. Delfabbro, Paul & Hirte, Craig & Rogers, Nancy & Wilson, Ros, 2010. "The over-representation of young Aboriginal or Torres Strait Islander people in the South Australian child system: A longitudinal analysis," Children and Youth Services Review, Elsevier, vol. 32(10), pages 1418-1425, October.
    5. Roger B. Newson, 2013. "Attributable and unattributable risks and fractions and other scenario comparisons," Stata Journal, StataCorp LP, vol. 13(4), pages 672-698, December.
    6. Berger, Lawrence M., 2004. "Income, family structure, and child maltreatment risk," Children and Youth Services Review, Elsevier, vol. 26(8), pages 725-748, August.
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