This study measured implicit and explicit racial bias about women and handguns and addressed important perceptions and stereotypes about gun competence and victimization that vary based on race and gender. We administered a national survey to 1,000 US adults using a new Race-Women-Handguns Implicit Association Test (IAT). Survey weighting was used to generate nationally representative estimates on the prevalence of implicit racial bias about women with handguns. The majority of participants (62.5%) associated Black women with handguns and White women with smartphones (weighted-mean IAT = 0.252; 95% CI [0.227, 0.276]) reflecting an anti-Black bias among US adults that is stereotype consistent associating Black women with handguns and White women with smartphones. The proportion that indicated Black and White women were competent with handguns was low (21.6% and 22.4%, respectively), and the proportion of US adults who indicated Black women are more likely to experience intimate partner violence (range: 19.4%-22.9%) and sexual harassment/assault (range: 11.4%-20.4%) was low compared to the prevalence of both forms of violence US among Black women that may impact the decision to possess a handgun. These findings suggest there is an anti-Black implicit bias about women with handguns (associating Black women with handguns) among US adults and support the need for further research measuring racism in systems and structures that intersect with gun possession.
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http://dx.doi.org/10.1177/08862605221123300 | DOI Listing |
J Community Health
December 2024
Department of Public Health Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.
Firearm-related injuries remain a significant public health issue in the United States, with patterns and trends among various age groups not well characterized. This study analyzed time series trends and disparities in firearm injury rates among U.S.
View Article and Find Full Text PDFSurg Open Sci
January 2024
University of California, Irvine, Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, Orange, CA, USA.
Background: Over 50 % of US female homicides occur during domestic violence, with half involving firearms. Public health measures to control COVID-19 may have isolated individuals with abusive partners at a time when firearm sales and new firearm ownership surged. This study sought to evaluate trends in domestic firearm violence (DFV) over time, hypothesizing that rates of DFV increased in the wake of COVID-19.
View Article and Find Full Text PDFJAMA Netw Open
June 2023
Harvard Medical School, Boston, Massachusetts.
Importance: Several recent US Supreme Court rulings have drawn criticism from the medical community, but their health consequences have not been quantitatively evaluated.
Objective: To model health outcomes associated with 3 Supreme Court rulings in 2022 that invalidated workplace COVID-19 vaccine or mask-and-test requirements, voided state handgun-carry restrictions, and revoked the constitutional right to abortion.
Design, Setting, And Participants: This decision analytical modeling study estimated outcomes associated with 3 Supreme Court rulings in 2022: (1) National Federation of Independent Business v Department of Labor, Occupational Safety and Health Administration (OSHA), which invalidated COVID-19 workplace protections; (2) New York State Rifle and Pistol Association Inc v Bruen, Superintendent of New York State Police (Bruen), which voided state laws restricting handgun carry; and (3) Dobbs v Jackson Women's Health Organization (Dobbs), which revoked the constitutional right to abortion.
J Interpers Violence
March 2023
University of Washington, Seattle, USA.
This study measured implicit and explicit racial bias about women and handguns and addressed important perceptions and stereotypes about gun competence and victimization that vary based on race and gender. We administered a national survey to 1,000 US adults using a new Race-Women-Handguns Implicit Association Test (IAT). Survey weighting was used to generate nationally representative estimates on the prevalence of implicit racial bias about women with handguns.
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