Psychology Reader

Stigma and Acceptance of Sierra Leone’s Child Soldiers

Theresa S. Betancourt, Dana L. Thomson, Robert T. Brennan, and 3 others · 2020 · Journal of the American Academy of Child & Adolescent Psychiatry

Role
Methodological contribution
Difficulty
Challenging
Full work length
12 pages
Type
Journal article

Access

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Reading focus

Syllabus: Why Do Responses to Trauma Follow Different Paths?

Trace the ordering of stigma, acceptance, and later functioning across the study waves.

Why you’re reading it. Apply the ecological framework to developmental evidence and confront attrition, confounding, and possible reverse influence.

A question to consider. Design one additional observation that would help distinguish the competing directions of influence between acceptance and symptoms.

Why this reading

Following people into adulthood makes it possible to ask how relationships and social conditions accompany longer developmental paths. This study connects stigma and acceptance with mental health and functioning without reducing a life course to its initial exposure.

Before you read

Longitudinal research follows participants over time. Attrition is loss to follow-up, which may bias results when participation relates to outcomes. An estimated social-integration trajectory describes a pattern; it does not randomly assign someone to a social environment.

Read for

  1. Compare the timing of war-history reports, social-integration measures, and adult outcomes.
  2. Examine how the study handles missing observations and distinguishes symptoms from work, education, and social functioning.

Consider afterwards

  1. What additional observations could help distinguish acceptance improving mental health from improving mental health making social reintegration easier?

Editorial context

Four waves followed a cohort of 491 former child soldiers, with 323 retained in adulthood. Some final social measures and outcomes were concurrent, leaving direction of influence unresolved. Locally adapted measures and missing-data analyses strengthen the study but do not remove confounding or establish locally validated diagnostic thresholds. The journal issue appeared in 2020, following online publication in 2019.