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Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
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Passive Suicidal Ideation in Childhood.

Lisa Van Hove1, Imke Baetens1, Karla Van Leeuwen2

  • 1Faculty of Psychology and Educational Sciences, Free University of Brussels, Belgium.

Crisis
|December 17, 2021
PubMed
Summary

Childhood suicidal ideation (SI) affects 10.5% of young children. Risk factors include behavioral conditions, learning disorders, and family stress, informing prevention strategies.

Keywords:
childrenpotential risk factorssuicidal ideation

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Area of Science:

  • Child Psychology
  • Developmental Psychiatry
  • Pediatric Mental Health

Background:

  • Suicidal behaviors are increasingly recognized in childhood.
  • Limited research exists on risk factors for suicidal ideation (SI) in children under 12.
  • This study addresses the gap in understanding childhood SI risk factors.

Purpose of the Study:

  • To identify risk factors associated with passive suicidal ideation (SI) in 9-year-old children.
  • To provide empirical data for developing childhood suicide prevention programs.
  • To inform clinical risk assessments for pediatric SI.

Main Methods:

  • A questionnaire was administered to 1,350 primary caregivers of 9-year-old children.
  • Logistic regression and independent samples t-tests were used for data analysis.
  • Caregiver reports were the primary source of information on children's SI and risk factors.

Main Results:

  • Passive suicidal ideation (SI) was reported in 10.5% of the participating children.
  • Identified risk factors for passive SI include psychiatric/developmental/behavioral conditions, learning disorders, impulsivity, aggression, and multiple stressful family events.
  • These factors highlight potential targets for early intervention.

Conclusions:

  • Findings identify key risk factors for childhood passive SI, crucial for prevention and clinical practice.
  • The study underscores the need for early identification and intervention for at-risk children.
  • Further research with longitudinal, child-reported data is recommended for causal inference.