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Related Experiment Video

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An R-Based Landscape Validation of a Competing Risk Model
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Cumulative risk and protection measures data.

Bianca C Bondi1, Debra J Pepler1, Mary Motz2

  • 1York University, Department of Psychology, 4700 Keele Street, Toronto, Ontario M3J 1P3, Canada.

Data in Brief
|September 9, 2020
PubMed
Summary
This summary is machine-generated.

This study developed cumulative risk and protection measures for substance-using mothers and their children in a child maltreatment prevention program. These tools enhance understanding of risk and protective factors in vulnerable populations.

Keywords:
Child maltreatmentCross-DomainCumulative protectionCumulative riskPrenatal substance exposureTheoretically Grounded

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Area of Science:

  • Child development
  • Public health
  • Psychology

Background:

  • Child maltreatment prevention programs require robust measures to assess risk and protective factors.
  • Substance-using mothers and their children represent a vulnerable population requiring targeted interventions.
  • Existing measures may not fully capture the complex interplay of cumulative risk and protection.

Purpose of the Study:

  • To establish clinically and theoretically grounded, cross-domain cumulative risk and protection measures.
  • To apply these measures within Mothercraft's Breaking the Cycle (BTC) program for substance-using mothers and children.
  • To inform future research on risk and protective factors in vulnerable populations.

Main Methods:

  • Utilized archival data from client charts at the BTC program.
  • Integrated existing cumulative risk measures with clinical assessments of maternal mental health, addiction, and parenting capacity.
  • Incorporated measures of adverse childhood experiences and psychosocial stressors.
  • Developed a cumulative protection factor measure based on early intervention components and literature-based protective factors.
  • Grounded measures in the Developmental Model of Transgenerational Transmission of Psychopathology.

Main Results:

  • Established comprehensive cumulative risk and protection measures tailored for the target population.
  • Data allowed for the delineation of salient domains of risk and protection.
  • Enabled the calculation of total and cross-domain cumulative risk and protection percentages.
  • Provided a qualitative interpretation of the balance between risk and protection domains.

Conclusions:

  • The developed measures offer improved understanding of cumulative risk and protection in vulnerable populations.
  • Identified salient domains of risk and protection specific to children exposed prenatally to substances.
  • Highlighted the unique interaction between risk and protective processes in child maltreatment prevention and early intervention.
  • These measures can guide clinical practice and future research in early intervention services.