The association between witnessing firearm violence and firearm carriage: Results from a national study of teens.

The association between witnessing firearm violence and firearm carriage: Results from a national study of teens.
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目睹枪支暴力与携带枪支之间的关联:一项针对青少年的全国研究的结果。

DOI:
10.1016/j.ypmed.2023.107516
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发表时间:
2023
影响因子:
5.1
通讯作者:
Carter,PatrickM
Carter,PatrickM
中科院分区:
医学2区
文献类型:
--
作者:
Sokol,RebeccahL;Haasz,Maya;Zimmerman,MarcA;Cunningham,RebeccaM;Carter,PatrickM

文献摘要

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在青少年中,目睹涉及枪支的暴力和携带枪支之间的联系,独立于非涉及枪支的暴力,还有待确定。目前的分析估计了在一个具有全国代表性的青少年样本中,目睹涉及枪支的暴力和非涉及枪支的暴力与携带枪支的关联。数据来自FACTS全国调查,这是2020年6月至7月对2140名美国青少年(14-18岁)进行的一项基于网络的横断面调查。该团队首先估计了目击涉及枪支和非枪支暴力之间的相关性。然后,双变量和多变量逻辑回归评估了目睹涉及枪支和非涉及枪支的暴力与枪支运输的关联。该团队汇集了15个估算数据集的结果,以解释缺失的数据,并将调查权重纳入分析,以创建具有全国代表性的估计。目睹涉及枪支和非涉及枪支的暴力之间的相关性很低(ϕ = 0.19[0.15, 0.23])。在双变量模型中,目睹枪支暴力和目睹非枪支暴力都与青少年携带枪支有关(OR: 3.55[1.86, 6.79]; 4.51[1.75, 11.6])。这些关联在多变量模型中依然存在,该模型对暴力受害、人口统计学特征以及目击枪支暴力和非枪支暴力进行了调整(目击枪支暴力的aOR = 3.67[1.77, 7.59];目击非枪支暴力的aOR = 4.30[1.56, 11.9])。我们发现这些关联的强度没有差异(Wald χ2(df= 1) = 0.25,p= 0.80)。结果表明,目睹涉及枪支和非涉及枪支的暴力与青少年携带枪支有独特的联系。除了认识到可能削弱目睹不同类型的暴力与携带枪支之间的联系的因素外,确定减少这两种接触的方法可能会破坏暴力循环。
The association between witnessing firearm-involved violence and firearm carriage among teens, independent of non-firearm involved violence, has yet to be identified. The present analyses estimate associations of witnessing firearm-involved violence and non-firearm involved violence with firearm carriage in a nationally representative sample of teens. Data are from the FACTS National Survey—a cross-sectional web-based survey of 2140 US teenagers (ages 14–18) fielded in June–July 2020. The team first estimated the correlation between witnessing firearm-involved and non-firearm involved violence. Bivariate and multivariable logistic regression then assessed the associations of witnessing firearm-involved and non-firearm involved violence with firearm carriage. The team pooled results over fifteen imputed datasets to account for missing data, and analyses incorporated survey weights to create nationally representative estimates. The correlation between witnessing firearm-involved and non-firearm involved violence was low (ϕ = 0.19[0.15, 0.23]). Witnessing firearm-involved violence and witnessing non-firearm involved violence were both associated with teen firearm carriage in bivariate models (OR: 3.55[1.86, 6.79]; 4.51[1.75, 11.6]). These associations persisted in the multivariable model that adjusted for violence victimization, demographic characteristics, and both witnessing firearm-involved and non-firearm involved violence (aOR for witnessing firearm-involved violence = 3.67[1.77, 7.59]; aOR for witnessing non-firearm involved violence = 4.30[1.56, 11.9]). We found no difference in the strength of these associations (Wald χ2(df= 1) = 0.25,p= 0.80). Results suggest that witnessing firearm-involved and non-firearm involved violence are uniquely associated with teens' firearm carriage. Identifying means to reduce both exposures, in addition to recognizing factors that may weaken the associations between witnessing different types of violence and firearm carriage, may disrupt cycles of violence.