Evidence map›Paper›PMID 24718435›Full record

ArticleSocial psychiatry and psychiatric epidemiology2014

The influence of different types of war experiences on depression and anxiety in a Ugandan cohort of war-affected youth: the WAYS study.

Kennedy Amone-P'Olak, Emilio Ovuga, Tim J Croudace, Peter B Jones, Rosemary Abbott

Open access · greenAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Kennedy Amone-P'OlakDepartment of Psychology, Gulu University, P O Box 166, Gulu, Uganda, kpamone@gmail.com.
Emilio Ovuga
Tim J Croudace
Peter B Jones
Rosemary Abbott
Gulu University · UGUniversity of Cambridge · GBUniversity of York · GB

Funding

Medical Research Council G0001354Wellcome Trust 087540Wellcome Trust 087540/Z/08/ZWellcome Trust 100891
6 · The paper itself

Abstract

backgroundWar experiences (WE) are frequently associated with mental health problems. Whether different types of WE vary in predicting which problem, or how severe, in former child soldiers (FCS) remains unknown.

methodsUsing data from the first wave of an on-going longitudinal cohort study (the WAYS study), we investigated relations between types of WE and symptoms of depression/anxiety among FCS in Northern Uganda (N = 539, baseline age = 22.39; SD = 2.03, range 18-25). Using robust Maximum Likelihood estimation in SEM, regression analyses were performed to relate binary indicators of types of WE to a single latent factor capturing symptoms of depression/anxiety.

resultsSEM results showed that "direct personal harm", "witnessing violence", "deaths", "threat to loved ones", "involvement in hostilities", and "sexual abuse" indicators were related to reported symptoms of depression/anxiety irrespective of gender and age. Multivariable models revealed independent associations of "witnessing violence" (β = 0.29, SE = 0.09, p < 0.001) and "deaths" (β = 0.14, SE = 0.05, p < 0.001) with symptoms of depression/anxiety in both sexes. "Sexual abuse" (β = 0.32, SE = 0.16, p < 0.001) independently predicted symptoms of depression/anxiety for female but not male youths whilst "threat to loved ones" (β = 0.13, SE = 0.07, p < 0.05) independently predicted symptoms of depression/anxiety in male but not female youths.

conclusionsDimensions of WE predicted symptoms of depression/anxiety differently, but it is hard to establish their causal status. Our findings suggest that it might be fruitful to consider such exposure variations of WE when designing interventions to mitigate the symptoms of depression/anxiety on male and female FCS.

Indexed as

WarfareAdolescentAnxietyChildDepressionFemaleHumansLongitudinal StudiesMaleMilitary PersonnelStress Disorders, Post-TraumaticUgandaViolenceYoung Adult

Identifiers

PMID24718435
PMCPMC4269978
OpenAlexW2037709289

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None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.