Evidence map›Paper›PMID 39606099›Full record

ArticlePreventive medicine reports2024

Association of racism experience with gun purchase during COVID-19: Evidence from a national survey in the United States.

Dejun Su, Khalid Alshehri, Brooke Lawson

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Racism and racial disparities in firearm violence: A scoping review.American journal of community psychology · 2026
    Article
  2. 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

3 authors.

Dejun SuDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, NE 68198, USA.
Khalid AlshehriCollege of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Brooke LawsonDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, NE 68198, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Concurrent with a substantial surge in gun purchases among Americans during COVID-19, there was an escalation of racism and hate crimes in the United States. Despite this disturbing trend, little is known about whether and the extent to which racism experience is linked to gun purchase during the pandemic. This study aims to examine the association between experience of racial discrimination and gun purchase among Americans during COVID-19. Methods: Based on data from the Health, Ethnicity, and Pandemic Survey (n = 2,584), a national survey conducted in the U.S. in October 2020, chi-square tests and logistic regressions were estimated to examine the association between racism experience and gun purchase during COVID-19 with and without controlling for selected covariates. Results: About 6.9 % of the sample reported gun purchases during COVID-19. Among respondents who reported experience of racism, 18.3 % purchased a gun as compared to 5.8 % among those who did not report experience of racism. Relative to respondents with no experience of racism, the odds of gun purchase for those who reported racism experience became 257 % as much (AOR = 2.57, 95 % CI: 1.63, 4.04) after controlling for other covariates in the analysis. Non-Hispanic Blacks were more likely to report gun purchases than non-Hispanic Whites (AOR = 1.80, 95 % CI: 1.04, 3.10). Conclusions: Americans who reported experience of racism during COVID-19 were far more likely to purchase a gun than those otherwise. These findings elevate the need for addressing racism as an important risk factor of firearm violence.

Indexed as

COVID-19Firearm ViolenceGun PurchaseRacism ExperienceUnited States

Identifiers

PMID39606099
PMCPMC11600008

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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.