Division of Injury Prevention, Centers for Disease Control and Prevention, Chamblee, United States.
Division of Injury Prevention, Centers for Disease Control and Prevention, Chamblee, United States.
J Safety Res. 2024 Sep;90:1-8. doi: 10.1016/j.jsr.2024.05.012. Epub 2024 Jun 7.
BACKGROUND: Differences in social and environmental factors contribute to disparities in fatal injury rates. This study assessed the relationship between social vulnerability and homicide and suicide rates across United States counties. METHODS: County-level age-adjusted homicide and suicide rates for 2016-2020 were linked with data from the Centers for Disease Control and Prevention's 2020 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted negative binomial regressions to examine the association between SVI and homicide and suicide rates, overall and by Census region/division. We mapped county-level data for SVI and homicide and suicide rates in bivariate choropleth maps. RESULTS: Overall SVI was associated with homicide rates across U.S. counties. While no association was found for overall SVI and suicide rates, Socioeconomic Status and Racial & Ethnic Minority Status domains were associated. The geographic distribution of SVI and homicide and suicide rates varied spatially; notably, counties in the South had the greatest levels of social vulnerability and greatest homicide rates. CONCLUSIONS: Our findings demonstrate county-level social vulnerability is associated with homicide rates but may be more nuanced for suicide rates. A modified SVI for injury should include additional social and structural determinants and exclude variables not applicable to injuries. PRACTICAL APPLICATIONS: This study combines the SVI with homicide and suicide data, enabling researchers to examine related social and environmental factors. Modifying the SVI to include relevant predictors could improve injury prevention strategies by prioritizing efforts in areas with high social vulnerability.
背景:社会和环境因素的差异导致致命伤害率存在差异。本研究评估了美国各县社会脆弱性与凶杀和自杀率之间的关系。
方法:将 2016-2020 年的县级年龄调整后凶杀和自杀率与疾病控制与预防中心 2020 年社会脆弱性指数(SVI)的数据相关联,该数据集确定了社会脆弱性社区。我们进行了负二项回归分析,以检查 SVI 与凶杀和自杀率之间的关联,总体上以及按人口普查区域/分区进行。我们在双变量专题地图上绘制了 SVI 和凶杀和自杀率的县级数据。
结果:总体 SVI 与美国各县的凶杀率相关。虽然总体 SVI 与自杀率之间没有关联,但社会经济地位和种族和少数民族地位领域存在关联。SVI 和凶杀和自杀率的地理分布在空间上存在差异;值得注意的是,南部的县社会脆弱性程度最高,凶杀率也最高。
结论:我们的研究结果表明,县级社会脆弱性与凶杀率相关,但对自杀率可能更为复杂。用于伤害的改良 SVI 应包括其他社会和结构决定因素,并排除与伤害不相关的变量。
实际应用:本研究将 SVI 与凶杀和自杀数据相结合,使研究人员能够检查相关的社会和环境因素。修改 SVI 以包含相关预测因子可以通过在社会脆弱性高的地区优先开展工作来改善伤害预防策略。
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