Evidence map›Paper›PMID 38831155›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2024

A Statistical Analysis of the Impact of Gun Ownership on Mass Shootings in the USA Between 2013 and 2022.

Madison Daraklis, Mehul Pol, Lindsey Johnson, Cianna Salvatora, Lucy Kerns

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 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. 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

5 authors.

Madison DaraklisDepartment of Mathematics, Westminster College, New Wilmington, PA, USA.
Mehul PolDepartment of Statistics, The University of Virginia, Charlottesville, VA, USA.
Lindsey JohnsonDepartment of Mathematics, Westminster College, New Wilmington, PA, USA.
Cianna SalvatoraDepartment of Mathematics, Wellesley College, Wellesley, MA, USA.
Lucy KernsDepartment of Mathematics & Statistics, Youngstown State University, One University Plaza, Youngstown, OH, 44555, USA. xlu@ysu.edu.ORCID http://orcid.org/0000-0002-6108-9737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass shootings (incidents with four or more people shot in a single event, not including the shooter) are becoming more frequent in the United States, posing a significant threat to public health and safety in the country. In the current study, we intended to analyze the impact of state-level prevalence of gun ownership on mass shootings-both the frequency and severity of these events. We applied the negative binomial generalized linear mixed model to investigate the association between gun ownership rate, as measured by a proxy (i.e., the proportion of suicides committed with firearms to total suicides), and population-adjusted rates of mass shooting incidents and fatalities at the state level from 2013 to 2022. Gun ownership was found to be significantly associated with the rate of mass shooting fatalities. Specifically, our model indicated that for every 1-SD increase-that is, for every 12.5% increase-in gun ownership, the rate of mass shooting fatalities increased by 34% (p value < 0.001). However, no significant association was found between gun ownership and rate of mass shooting incidents. These findings suggest that restricting gun ownership (and therefore reducing availability to guns) may not decrease the number of mass shooting events, but it may save lives when these events occur.

Indexed as

FirearmsMass Casualty IncidentsOwnershipSuicideHumansMass Shooting EventsUnited StatesWounds, GunshotGun ownershipMass shooting fatalitiesMass shooting incidentsMass shootingsNegative binomial generalized linear mixed model

Identifiers

PMID38831155
PMCPMC11189892

What OpenQuestion holds

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LicenceCC BY
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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.