Measuring Adverse Child Experiences Among Young Adolescents Globally: Relationships With Depressive Symptoms and Violence Perpetration

J Adolesc Health. 2019 Jul;65(1):86-93. doi: 10.1016/j.jadohealth.2019.01.020. Epub 2019 Mar 28.

Abstract

Purpose: The purpose of the study was to develop a measure of ACEs applicable for young adolescents in low- and middle-income countries (ACEs) and to analyze the relationships of ACEs against two outcomes: depressive symptoms and violence perpetration. There is a paucity of research on the consequences of adverse child experiences (ACEs) on adolescent health and behavior from low- and middle-income countries and virtually no multinational studies.

Methods: As part of the Global Early Adolescent Study, an 11-item measure of ACEs was developed and piloted with 1,284 adolescents aged 10-14 years in 14 urban communities in an equal number of countries. With one exception where interviewers were used, data were self-reported anonymously using tablets. Results compared a summative ACEs index score and latent class analysis.

Results: Findings show high rates of ACEs exposure experienced by young adolescents in resource-poor neighborhoods in low- and middle-income countries; disproportionate exposures of boys and strong associations between ACEs and both depressive symptoms and violence perpetration. Latent class analysis provided modest refinement over a summed ACEs score.

Conclusion: While interventions tend to focus on behavioral outcomes, evidence suggests that ACEs exposure is a strong antecedent related to both depressive symptoms and violence perpetration.

Keywords: Adolescents; Adverse childhood experiences; Bullying; Depression; Mental health; Violence.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adolescent
  • Adverse Childhood Experiences / statistics & numerical data*
  • Child
  • Depression / psychology*
  • Female
  • Humans
  • Internationality*
  • Male
  • Residence Characteristics
  • Self Report
  • Sex Factors
  • Surveys and Questionnaires*
  • Urban Population
  • Violence / statistics & numerical data*