Gun Policy in America Initiative, RAND Corporation, Arlington, Virginia.
JAMA Netw Open. 2024 Aug 1;7(8):e2429335. doi: 10.1001/jamanetworkopen.2024.29335.
Causal associations between household firearm ownership rates (HFRs) and firearm mortality rates are not well understood.
To assess the population-level temporal sequencing of firearm death rates and HFRs.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study used autoregressive cross-lagged models to analyze HFRs, firearm suicide rates, and firearm homicide rates in the US from 1990 to 2018. The suicide analyses included 16 demographic subgroups of adults, defined by study year, state, sex, race and ethnicity, marital status, and urbanicity. The homicide analyses consisted of adult subgroups living in urban or rural areas. Data analysis was conducted from March to December 2023.
Firearm mortality rates and HFRs.
Firearm homicide and suicide rates with HFRs as the exposure, and HFR with mortality as the exposure.
A total of 10 416 observations of 16 demographic subgroups by state and 2-year periods were included in the suicide analyses, while 1302 observations from 2 demographic subgroups by state and 2-year period were included in the homicide analysis. At baseline, the mean (SD) rate per 100 000 population across strata was 7.46 (7.21) for firearm suicides and 3.32 (2.13) for firearm homicides. The mean (SD) baseline HFR was 36.9% (20.2%) for firearm suicides and 36.9% (14.8%) for firearm homicides. Higher HFR preceded increases in suicide rates: demographic strata with equal firearm suicide rates but which differ by 18.6 percentage points on HFR (1 SD) would be expected to have firearm suicide rates that diverged by 0.19 (95% CI, 0.15-0.23) deaths per 100 000 population per period. With these differences accumulated over 8 years, firearm suicide rates in subgroups with the highest decile HFR would be expected to have 1.93 (95% CI, 1.64-2.36) more suicides per 100 000 population than strata with lowest decile HFR, a difference of 25.7% of the overall firearm suicide rate in 2018 and 2019. Firearm suicide rates had a smaller magnitude of association with subsequent changes in HFR: strata with equal HFRs but which differ by 1 SD in firearm suicide rates had minimal subsequent change in HFRs (-0.02 [95% CI, -0.04 to 0.01] percentage points). A 1-SD difference in HFRs was associated with little difference in next-period overall firearm homicides rates (0.03 [95% CI, -0.02 to 0.08] per 100 000 population), but a 1-SD difference in homicide rates was associated with a decrease in HFR (-0.09 [95% CI, -0.16 to -0.04] percentage points).
This cohort study found an association between high HFRs and subsequent increases in rates of firearm suicide. In contrast, higher firearm homicide rates preceded decreases in HFRs. By demonstrating the temporal sequencing of firearm ownership and mortality, this study may help to rule out some theories of why gun ownership and firearm mortality are associated at the population level.
重要性:家庭枪支拥有率(HFR)与枪支死亡率之间的因果关系尚不清楚。
目的:评估枪支死亡率和 HFR 的人群水平时间序列。
设计、设置和参与者:本队列研究使用自回归交叉滞后模型分析了 1990 年至 2018 年美国的 HFR、枪支自杀率和枪支凶杀率。自杀分析包括 16 个成人亚组,按研究年份、州、性别、种族和民族、婚姻状况和城市划分。凶杀分析包括居住在城市或农村地区的成年亚组。数据分析于 2023 年 3 月至 12 月进行。
暴露:枪支死亡率和 HFR。
主要结果和测量:以 HFR 作为暴露的枪支凶杀和自杀率,以及以死亡率作为暴露的 HFR。
结果:在自杀分析中,共有 16 个州和 2 年期间的 16 个人口亚组的 10416 个观察值,而在凶杀分析中,有 1302 个观察值来自 2 个州和 2 年期间的 2 个人口亚组。在基线时,各层每 10 万人的平均(SD)枪支自杀率为 7.46(7.21),枪支凶杀率为 3.32(2.13)。平均(SD)基线 HFR 为 36.9%(20.2%)的枪支自杀率和 36.9%(14.8%)的枪支凶杀率。较高的 HFR 先于自杀率的增加:具有相同枪支自杀率但 HFR 相差 18.6 个百分点(1 个标准差)的人口亚组预计在每 10 万人中,枪支自杀率将相差 0.19(95%CI,0.15-0.23)死亡人数。在 8 年内累计这些差异,HFR 最高十分位数亚组的枪支自杀率预计将比 HFR 最低十分位数亚组多 1.93(95%CI,1.64-2.36)例死亡,占 2018 年和 2019 年枪支自杀总死亡率的 25.7%。枪支自杀率与随后 HFR 的变化关联程度较小:具有相等 HFR 的亚组,但枪支自杀率相差 1 个标准差,随后 HFR 的变化很小(-0.02 [95%CI,-0.04 至 0.01] 个百分点)。HFR 相差 1 个标准差与下一期总体枪支凶杀率相差不大(每 10 万人相差 0.03 [95%CI,-0.02 至 0.08]),但凶杀率相差 1 个标准差与 HFR 下降(-0.09 [95%CI,-0.16 至 -0.04] 个百分点)有关。
结论和相关性:本队列研究发现,较高的 HFR 与随后枪支自杀率的增加有关。相比之下,较高的枪支凶杀率先于 HFR 的下降。通过展示枪支所有权和死亡率的时间序列,本研究可能有助于排除一些关于为什么枪支所有权和枪支死亡率在人群水平上相关的理论。