Evidence map›Paper›PMID 42507447›Full record

ArticleJAMA network open2026

Financial Stressors and Suicide.

Eric B Elbogen, Tess A Gilbert, Bryann B DeBeer, Elizabeth R Hooker, Sarah Shull, Nathan A Kimbrel, Terri K Pogoda, Jason I Chen, Kathleen F Carlson

Abstract read
In one paragraph

Article in JAMA network open, 2026. 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

9 authors.

Eric B ElbogenDepartment of Veterans Affairs, Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC) for Suicide Prevention, Aurora, Colorado.
Tess A GilbertDepartment of Veterans Affairs, VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, Oregon.
Bryann B DeBeerDepartment of Veterans Affairs, Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC) for Suicide Prevention, Aurora, Colorado.
Elizabeth R HookerDepartment of Veterans Affairs, VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, Oregon.
Sarah ShullDepartment of Veterans Affairs, VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, Oregon.
Nathan A KimbrelDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina.
Terri K PogodaDepartment of Veterans Affairs, Center for Health Optimization and Implementation Research, Boston, Massachusetts.
Jason I ChenDepartment of Veterans Affairs, VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, Oregon.
Kathleen F CarlsonDepartment of Veterans Affairs, VA Portland Health Care System, Center to Improve Veteran Involvement in Care, Portland, Oregon.

Funding

HSRD VA I01 HX000281
6 · The paper itself

Abstract

Importance: Financial strain is associated with suicide risk; however, no research has examined financial stressors in the year preceding suicide using national credit data. Objective: To assess financial stressors in the 12 months preceding suicide in a national sample of veterans by linking financial, mortality, and health care records. Design, Setting, and Participants: This case-control study of 5000 veterans who died by suicide (January 1, 2015 to December 31, 2017) used mortality data from the US Department of Veterans Affairs (VA) and the US Department of Defense. Cases were matched to 12 500 living controls on age, sex, VA health care use, and suicide index date. Analyses were conducted in December 2025. Exposures: Financial stressors in the prior 12 months were identified in TransUnion credit records provided by FinThrive. Main Outcomes and Measures: The primary outcome was death by suicide. Differences between cases and controls were analyzed using multivariable conditional logistic regression, adjusting for demographics and, among VA users, marital status and diagnoses of depression, posttraumatic stress disorder, and substance use disorder. Results: Among 17 439 veterans included in this study, the mean (SD) age was 52.9 (15.7) years, and 94.6% were male. Suicide was associated with having (vs not having) delinquent mortgage payments (odds ratio [OR], 1.4; 95% CI, 1.2-1.7), repossessions (OR, 1.9; 95% CI, 1.3-2.7), and credit card payments 30 or more days past due (OR, 1.7; 95% CI, 1.6-1.9). Lower credit score categories were associated with increasing odds of suicide. Veterans with 3 or more financial stressors had higher odds of suicide (OR, 2.4; 95% CI, 1.9-3.0) compared with those who had none. Among individuals with available data, credit score declines of 51 to 100 points (OR, 1.3; 95% CI, 1.1-1.5) and greater than 100 points (OR, 2.8; 95% CI, 2.3-3.5) over 1 year, relative to no change in score, were associated with increased odds of suicide. Cumulative financial stressors and declining credit scores had the highest ORs for suicide when adjusting for demographics and, among VA users, marital status and prior psychiatric diagnoses. ORs were lower among VA users than among non-VA users. Conclusions and Relevance: In this case-control study, suicide was associated with financial stressors in the prior 12 months. Incorporating financial stressors into clinical evaluations and safety planning may aid in identifying patients at risk for suicide. Policymakers and researchers could consider strategies to detect and mitigate financial stressors as part of comprehensive suicide prevention efforts.

Indexed as

Financial StressSuicideVeteransAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID42507447
PMCPMC13409012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.