Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway, S106-9, Atlanta, GA 30341, United States.
Geospatial Research, Analysis, and Services Program, Centers for Disease Control and Prevention, Atlanta, GA, United States.
J Safety Res. 2023 Sep;86:245-252. doi: 10.1016/j.jsr.2023.07.003. Epub 2023 Jul 31.
Differences in social and environmental factors can contribute to disparities in fatal injury rates. The purpose of this study was to examine the relationship between social and environmental factors and unintentional fatal injury across counties in the United States and how this relationship varies by geography.
County-level vital statistics on age-adjusted unintentional fatal injury rates for 2015-2019 were linked with county-level data from the 2018 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted linear regression to examine the association between SVI and unintentional fatal injury, overall and by Census region/division. We mapped county-level data for SVI and unintentional fatal injury rates in bivariate choropleth maps using quartiles.
SVI was positively associated with unintentional fatal injury (β = 18.29, p < 0.001) across U.S. counties. The geographic distribution of SVI and unintentional fatal injury rates varied spatially and substantially for U.S. counties, with counties in the South and West regions having the greatest levels of SVI and rates of unintentional fatal injury.
Our findings demonstrate that the social vulnerability of counties is associated with unintentional fatal injury rates. Modification of the SVI for injury research could include additional social determinants and exclude variables not applicable to injuries. A modified SVI could inform unintentional injury prevention strategies by prioritizing efforts in areas with high levels of social vulnerability.
This study is the first step in combining the SVI and injury mortality data to provide researchers with an index to investigate upstream factors related to injury.
社会和环境因素的差异可能导致致命伤害率的差异。本研究的目的是检验美国各县社会和环境因素与意外致命伤害之间的关系,以及这种关系如何因地理位置而异。
将 2015-2019 年年龄调整后意外致命伤害率的县级生命统计数据与 2018 年社会脆弱性指数(SVI)的县级数据相联系,该数据集确定了社会脆弱社区。我们进行线性回归分析,以检验 SVI 与意外致命伤害之间的关系,包括总体和按人口普查区域/分区的关系。我们使用四分位数在双变量面域图上绘制 SVI 和意外致命伤害率的县级数据。
SVI 与美国各县的意外致命伤害呈正相关(β=18.29,p<0.001)。SVI 和意外致命伤害率的地理分布在美国各县之间存在显著的空间差异,南部和西部各县的 SVI 和意外致命伤害率水平最高。
我们的研究结果表明,各县的社会脆弱性与意外致命伤害率有关。为伤害研究修改 SVI 可以包括更多的社会决定因素,并排除与伤害不相关的变量。修改后的 SVI 可以通过在社会脆弱性水平较高的地区优先考虑努力来为意外伤害预防策略提供信息。
本研究是将 SVI 和伤害死亡率数据相结合的第一步,为研究人员提供了一个指数,以调查与伤害相关的上游因素。