Evidence map›Paper›PMID 40249612›Full record

ArticleJAMA network open2025

Mental and Physical Health-Related Risk Factors Among Females Who Died by Firearm Suicide.

Laura C Prater, Pejmon Noghrehchi, Ning Duan, Julian Takagi-Stewart, Stephen J Mooney, Jennifer L Hefner, Evan V Goldstein

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Laura C PraterDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus.
Pejmon NoghrehchiDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus.
Ning DuanFirearm Injury & Policy Research Program, Harborview Medical Center, University of Washington School of Medicine, Seattle.
Julian Takagi-StewartFirearm Injury & Policy Research Program, Harborview Medical Center, University of Washington School of Medicine, Seattle.
Stephen J MooneyDepartment of Epidemiology, School of Public Health, University of Washington, Seattle.
Jennifer L HefnerDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus.
Evan V GoldsteinDepartment of Population Health Sciences, University of Utah School of Medicine, Salt Lake City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Firearm suicide among females has increased in the past decade; routes for prevention remain unclear. Objective: To identify classes of firearm suicide decedents among females based on preceding mental and physical health-related risk factors for suicide. Design, Setting, and Participants: This cross-sectional retrospective study of females who died by firearm suicide between January 2014 and December 2018 used state-based surveillance data from the National Violent Death Reporting System Restricted Access Database representing 1 or more years of data from all 50 US states, the District of Columbia, and Puerto Rico; data were analyzed from March 2022 to September 2023. A latent class analysis was used to identify and characterize categories of mental and physical health-related factors among females (ie, classes). Exposure: Known mental and physical health-related risk factors for suicide. Main Outcome and Measure: The numbers (percentages) of females who died by firearm suicide across various factors. Results: Of the 8318 female decedents in our sample (mean [SD] age, 47.2 [17.0] years), more than half (4816 of 8318 [57.9%]) had more than 1 risk factor endorsed. Among this subgroup, a 4-class model was identified: (1) alcohol use disorder or substance use disorder (1273 [26.4%]); (2) depression and suicidal thoughts (2289 [47.5%]); (3) physical health problems and pain (1054 [21.9%]); and (4) all conditions (multimorbid; 200 [4.2%]); 3502 (42.1%) could not be classified. Black females made up a higher proportion (244 of 3502 [7.0%]) of the females with a 0 or 1 risk factor endorsed than of the females with multiple risk factors (184 of 4816 [3.8%]). Mental health problems were apparent in 51.7% of the full sample (4303 of 8318), with 28.6% (n = 2376) demonstrating evidence of mental health treatment. More than one-fifth (1766 of 8318 [21.2%]) had physical health problems. More than one-fourth of the full sample (2239 of 8318 [26.9%]) and nearly 40% (505 of 1273 [39.7%]) in class 1 had intimate partner problems before their death. Conclusions and Relevance: In this cross-sectional study of females who died by firearm suicide, meaningfully distinct groups of female firearm suicide decedents were identified. Given the high proportion of females without mental health and physical health problems, it is plausible that many female firearm suicide decedents did not frequently intersect with the health care system before their death. Results suggest opportunities for preventing firearm suicide among females through nonmedical care settings.

Indexed as

FirearmsHealth StatusMental DisordersSuicideAdultAgedCross-Sectional StudiesFemaleHumansMental HealthMiddle AgedRetrospective StudiesRisk FactorsUnited StatesYoung Adult

Identifiers

PMID40249612
PMCPMC12008759

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.