TY  - JOUR
PY  - 2023//
TI  - Predicting potential underreporting of firearm ownership in a nationally representative sample
JO  - Social psychiatry and psychiatric epidemiology
A1  - Bond, Allison E.
A1  - Karnick, Aleksandr T.
A1  - Capron, Daniel W.
A1  - Anestis, Michael D.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - PURPOSE: This 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. <br><br>METHODS: Participants 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. <br><br>RESULTS: Participants (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. <br><br>CONCLUSIONS: Determining 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0933-7954
UR  - http://dx.doi.org/10.1007/s00127-023-02515-y
ID  - ref1
ER  -