Evidence map›Paper›PMID 39135946›Full record

ArticleClinical practice and epidemiology in mental health : CP & EMH2024

Prevalence Estimate for Adjustment Disorders in the South African Navy.

Charles H Van Wijk

Abstract read
In one paragraph

Article in Clinical practice and epidemiology in mental health : CP & EMH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Clinical utility and psychometric validity of the International Adjustment Disorder Questionnaire in a sample of South African working adults.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2026
    Article
  2. Article
  3. Article
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

1 author.

Charles H Van WijkDivision of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and Aim: Adjustment Disorder is among the most commonly diagnosed mental disorders in the armed forces, with a mean prevalence estimated at 7.4% across military populations. The prevalence in South African military populations is not known. This study aimed to estimate the prevalence of Adjustment Disorders in the South African Navy and to explore potential risk factors. Methods: In this cross-sectional study, a representative sample of 714 sailors completed the International Adjustment Disorder Questionnaire, and also provided information from their biennial occupational health assessment mental health screening, which included other clinical screeners of mental health and adjustment history. Results: The estimated prevalence of Adjustment Disorders in the South African Navy was 6.9%, and was proportionally distributed across gender and age categories. Depression and PTSD were the main comorbid conditions. Risk factors included a) history of adjustment difficulties during military deployment or family adjustment difficulties, b) domestic discord (difficulties in relationship with spouse/partner or immediate family), and c) the experience of stress overload ( Conclusion: The estimated prevalence was similar to the expectation of military personnel generally, although the self-report data needs to be interpreted cautiously. The contributing risk factors offer possible direction for targeted intervention,

Indexed as

Adjustment disordersMental healthMilitaryPrevalenceRisk factorsSurveys and questionnaires

Identifiers

PMID39135946
PMCPMC11318156

What OpenQuestion holds

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Registered trials

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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.