Evidence map›Paper›PMID 42533995›Full record

ArticleJournal of military, veteran and family health2023

An analysis of media coverage of the transition from military to civilian life, with a focus on health and well-being.

Rob Whitley, Anne-Marie Saucier

Abstract read
In one paragraph

Article in Journal of military, veteran and family health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Rob WhitleyDouglas Research Centre, Department of Psychiatry, McGill University, Montréal, Québec, Canada.
Anne-Marie SaucierDouglas Research Centre, Department of Psychiatry, McGill University, Montréal, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The transition from military to civilian life can be a challenging period for recently released Canadian Armed Forces (CAF) personnel, and there is a lack of research on media coverage of this transition. Thus, the first objective of this study was to document and analyze the nature and prevalence of themes and topics in media articles about the transition. The second objective was to compare coverage between mainstream Canadian media and specialist media emanating from the CAF. Methods: The authors systematically collected news media pieces mentioning the transition from 77 Canadian media sources including newspaper print articles, online text news, news videos, and articles from specialist military media over a six-month period. These were coded for the presence and absence of key themes. Results: The most common themes included posttraumatic stress disorder (PTSD), suicide, and issues with employment, housing, and social integration. Less common themes included financial issues, depression, and substance use. Stratified analysis revealed military media rarely discuss mental or physical health issues and instead focus on practical aspects of the transition and support programs. In contrast, mainstream media tend to focus more on PTSD and suicide, and less on factors such as education or employment issues. Discussion: Results reveal a heterogeneity of themes spread over various topics. However, patterns of reporting differ between military and mainstream media. This implies the importance of educational outreach to journalists working for both mainstream and military sources to ensure comprehensive, diverse, and balanced reporting.

Indexed as

CAFCanadian Armed Forcesmediamedia coveragemental healthtransitionVeteranwell-being

Identifiers

PMID42533995
PMCPMC13293220

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.