Evidence map›Paper›PMID 37351596›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Predicting potential underreporting of firearm ownership in a nationally representative sample.

Allison E Bond, Aleksandr T Karnick, Daniel W Capron, Michael D Anestis

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Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Allison E BondThe New Jersey Gun Violence Research Center, Rutgers University, Newark, USA. ab2242@psych.rutgers.edu.
Aleksandr T KarnickThe School of Psychology, The University of Southern Mississippi, Hattiesburg, USA.
Daniel W CapronThe School of Psychology, The University of Southern Mississippi, Hattiesburg, USA.
Michael D AnestisThe New Jersey Gun Violence Research Center, Rutgers University, Newark, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study utilized demographic and intrapersonal variables to identify individuals who may have falsely denied firearm ownership and determined if individuals can be divided into meaningful subgroups.

methodsParticipants were United States residents (N = 3500) recruited from January to June 2020. matched to the 2010 census data for age, race, sex, income, and education level. A Zero-Inflated Negative Binomial (ZINB) regression was utilized to determine potential underreporting of firearm ownership, and a latent class analysis was utilized to determine unique subgroups of those who were identified as underreporting firearm ownership in the ZINB.

resultsParticipants (N = 1306) were identified as underreporting firearm ownership (excess zeros) based on a model that included demographic and intrapersonal variables. A latent class analysis indicated that among excess zeros, three unique subgroups exist.

conclusionsDetermining who may be underreporting firearm ownership will allow for a more comprehensive understanding of firearm ownership in the US and more targeted safe storage messages that may reach those who own firearms and are at risk for firearm-related injury and death.

Indexed as

FirearmsOwnershipEducational StatusHumansIncomeUnited StatesFirearm accessFirearm injury preventionFirearm ownershipUnderreporting firearm access

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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.