Evidence map›Paper›PMID 38536307›Full record

ArticleMilitary psychology : the official journal of the Division of Military Psychology, American Psychological Association2022

Predictors of self-reported health and psychological distress among recently released Canadian Armed Forces Veterans.

Julie Coulthard, Kerry Sudom, Jennifer Born

Open access · greenAbstract read
In one paragraph

Article in Military psychology : the official journal of the Division of Military Psychology, American Psychological Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Julie CoulthardDepartment of National Defence, NDHQ (Carling), Ottawa, Ontario, Canada.
Kerry SudomDepartment of National Defence, Ottawa, Ontario, Canada.
Jennifer BornDepartment of National Defence, Ottawa, Ontario, Canada.
Department of National Defence · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research has found that, while the majority of Veterans report a positive adjustment to post-service life, the number who report experiencing transition difficulties is increasing. This study aims to describe some of the predictors of general health, mental health, and psychological distress, with a focus on recently released Canadian Armed Forces Veterans. Analysis was performed on a sample of Veterans (N=909) who released in the past five years. Separate stepwise logistic regression models explored the odds of reporting each negative health outcome, first controlling for individual and military characteristics, then exploring the relative associations of well-being indicators. Presence of chronic physical and mental health conditions was associated with all negative health outcomes. Other indicators associated with a higher likelihood of negative health outcomes included dissatisfaction with one's main activity since retirement, having a low sense of community belonging, being disabled and not being in the workforce. Higher mastery was associated with a lower likelihood of distress and poor general health, and was marginally significantly associated with a lower likelihood of poor mental health. The results demonstrate the importance of individual factors, social integration, and chronic health conditions in predicting the health outcomes of recently released CAF Veterans.

Indexed as

mental healthmilitary-to-civilian transitionphysical healthVeteranswell-being

Identifiers

PMID38536307
PMCPMC10013391
OpenAlexW4224091390

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.