Evidence map›Paper›PMID 39167407›Full record

ArticleJAMA network open2024

Household Firearm Ownership and Firearm Mortality.

Andrew R Morral, Denis Agniel, Rosanna Smart, Terry L Schell

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Gun-Related Beliefs as Predictors of Gun Policy Support: Findings from the Nationally Representative GRIP Survey.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  2. Article
  3. 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

4 authors.

Andrew R MorralGun Policy in America Initiative, RAND Corporation, Arlington, Virginia.
Denis AgnielGun Policy in America Initiative, RAND Corporation, Arlington, Virginia.
Rosanna SmartGun Policy in America Initiative, RAND Corporation, Arlington, Virginia.
Terry L SchellGun Policy in America Initiative, RAND Corporation, Arlington, Virginia.

Funding

CALIFORNIA CENTER FOR POPULATION TRAINING PROGRAMT32HD007545 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ, Megan M Sweeney · 2001 to 2026
$4.1M
NCIPC CDC HHS R01 CE003279NICHD NIH HHS T32 HD007545
6 · The paper itself

Abstract

Importance: Causal associations between household firearm ownership rates (HFRs) and firearm mortality rates are not well understood. Objective: To assess the population-level temporal sequencing of firearm death rates and HFRs. Design, Setting, and Participants: This cohort study used autoregressive cross-lagged models to analyze HFRs, firearm suicide rates, and firearm homicide rates in the US from 1990 to 2018. The suicide analyses included 16 demographic subgroups of adults, defined by study year, state, sex, race and ethnicity, marital status, and urbanicity. The homicide analyses consisted of adult subgroups living in urban or rural areas. Data analysis was conducted from March to December 2023. Exposures: Firearm mortality rates and HFRs. Main Outcomes and Measures: Firearm homicide and suicide rates with HFRs as the exposure, and HFR with mortality as the exposure. Results: A total of 10 416 observations of 16 demographic subgroups by state and 2-year periods were included in the suicide analyses, while 1302 observations from 2 demographic subgroups by state and 2-year period were included in the homicide analysis. At baseline, the mean (SD) rate per 100 000 population across strata was 7.46 (7.21) for firearm suicides and 3.32 (2.13) for firearm homicides. The mean (SD) baseline HFR was 36.9% (20.2%) for firearm suicides and 36.9% (14.8%) for firearm homicides. Higher HFR preceded increases in suicide rates: demographic strata with equal firearm suicide rates but which differ by 18.6 percentage points on HFR (1 SD) would be expected to have firearm suicide rates that diverged by 0.19 (95% CI, 0.15-0.23) deaths per 100 000 population per period. With these differences accumulated over 8 years, firearm suicide rates in subgroups with the highest decile HFR would be expected to have 1.93 (95% CI, 1.64-2.36) more suicides per 100 000 population than strata with lowest decile HFR, a difference of 25.7% of the overall firearm suicide rate in 2018 and 2019. Firearm suicide rates had a smaller magnitude of association with subsequent changes in HFR: strata with equal HFRs but which differ by 1 SD in firearm suicide rates had minimal subsequent change in HFRs (-0.02 [95% CI, -0.04 to 0.01] percentage points). A 1-SD difference in HFRs was associated with little difference in next-period overall firearm homicides rates (0.03 [95% CI, -0.02 to 0.08] per 100 000 population), but a 1-SD difference in homicide rates was associated with a decrease in HFR (-0.09 [95% CI, -0.16 to -0.04] percentage points). Conclusions and Relevance: This cohort study found an association between high HFRs and subsequent increases in rates of firearm suicide. In contrast, higher firearm homicide rates preceded decreases in HFRs. By demonstrating the temporal sequencing of firearm ownership and mortality, this study may help to rule out some theories of why gun ownership and firearm mortality are associated at the population level.

Indexed as

FirearmsHomicideOwnershipSuicideAdultCohort StudiesFamily CharacteristicsFemaleHumansMaleMiddle AgedUnited StatesWounds, Gunshot

Identifiers

PMID39167407
PMCPMC11339659

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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.