Evidence map›Paper›PMID 39720973›Full record

ArticleJournal of community health2025

The Impact of Military Service on Social Determinants as Predictive Factors for Suicide among Female Veterans.

Amanda Straus, Rachel Larson, Wanda Wright

Abstract read
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In one paragraph

Article in Journal of community health, 2025. 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

3 authors.

Amanda StrausCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA. arstrau1@asu.edu.ORCID 0009-0007-4908-8436
Rachel LarsonCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Wanda WrightCollege of Integrative Sciences and Arts, Arizona State University, Tempe, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Female Veterans experience disproportionately poorer outcomes in mental health and physical health, as well as other conditions, compared to their male counterparts and non-Veteran females. The Arizona Veteran Survey aims to understand the unique experiences of female Veterans in the state of Arizona and assess how these experiences impact their health. The goal is to identify key risk factors contributing to health challenges among this population, enabling the development of targeted interventions. The statewide Arizona Veteran Survey was conducted to analyze the current impact of common social determinants of health for several demographics of Veterans. There were a total of 841 female Veteran respondents. The data on female Veterans' social determinants of health and the association with suicidality was analyzed using chi-square and logistic regression. A variety of social determinants were analyzed to evaluate their association with suicidality. Female Veteran respondents were 1.4 times more likely to experience suicidality if they were seeking care for mental health concerns, 1.8 times more likely if they felt isolated or lonely, 1.7 times more likely if they felt depressed or hopeless, and 2.5 times more likely to experience suicidality if they struggled to pay for or access medication in the past 12 months leading up to the survey. Female Veterans are a growing population disproportionately affected by experiences that elevate their risk of suicidality. The findings in this paper highlight the need for expanding services and resources while addressing inequities to improve overall well-being.

Indexed as

Social Determinants of HealthSuicideVeteransAdultAgedArizonaFemaleHumansMiddle AgedRisk FactorsYoung AdultFemale veteransHealthMSTSuicide

Identifiers

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.