ArticlePrevention science : the official journal of the Society for Prevention Research2026
Gun-Related Beliefs as Predictors of Gun Policy Support: Findings from the Nationally Representative GRIP Survey.
Article in Prevention science : the official journal of the Society for Prevention Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Partisan affiliations and other demographic characteristics inadequately explain support for gun policy and provide vague public health messaging guidance. Gun-related beliefs may be more malleable and meaningful determinants of policy support for gun violence prevention. Using a nationally representative, community-engaged, mixed methods design, we examined predictive associations between gun-related beliefs and public support for six gun policies (i.e., universal background checks, waiting periods, minimum purchasing age, violent offender prohibitions, concealed carry permits, and extreme risk protection orders (ERPOs)). Gun-related beliefs were more strongly associated with policy support than political affiliation. Strength of agreement with "no one should own AR-15 style semiautomatic rifles" was positively associated with support for all six policies. Beliefs about gun policies as violence prevention were also highly salient, predicting support for five policies, with disagreement or agreement both predicting higher probability of support for universal background checks, violent offender prohibitions, and ERPOs than neutral beliefs. Beliefs that "guns are tools" were generally unassociated with policy views. Findings suggest potential for gun violence prevention messages that combine values-based language with salient themes to build support for preventive policies across political and demographic lines.
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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.