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Spatial Cluster Analysis of Fatal Road Accidents From Non-Use of Seat Belts Among Older Drivers

机译:旧驾驶员在驾驶员中致命道路事故的空间集群分析

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Abstract Identifying county-level spatial clusters of fatal accidents due to non-use of seatbelt among drivers 65 years and older can help with injury prevention policies and targeted place-based interventions. We estimated the odds and identified hotspots of fatal accidents among drivers 65 years and older (n=57,715) based on a cross-sectional analysis of data from 2010 to 2018 from the Fatality Analysis Reporting System. The outcome variable was fatality status (fatal/non-fatal), and the main independent variable was seatbelt use (not used/used). Other covariates were drunk driving, distracted driving, and speeding while age, gender, and airbag deployment were used as confounders. Rural-urban status of accident location was used as an effect modifier. Odds ratios were calculated from logistic regression. The age-adjusted fatality rate was computed as the crude fatality rate per 100,000 population weighted by the average population composition by age-groups. Spatial autocorrelation was assessed by local Moran’s I, and cluster analysis was performed using the Moran’s I index-derived Z-scores. The median age-adjusted seatbelt-related fatality rate per county was 2.35 per 100,000 population (IQR: 5.60). Not wearing a seatbelt was associated with an 11-fold (Adjusted OR: 11.37; 95% CI: 10.18-12.70) increased odds of a fatal event in metropolitan counties and a 7-fold (Adjusted OR: 7.43; 95% CI: 6.10-9.04) increased odds in rural counties and small towns. Hot spots for seatbelt-related fatal road accidents were found in multiple counties in Texas, South Dakota, and Mississippi. Study findings can be used for county-specific interventions tailored to 65 and older for preventing fatal road accidents.
机译:致命事故是由于司机65岁有伤害预防政策年纪大的可以帮助和有针对性的地方为基础的干预中不使用安全带的摘要确定县级空间集群。我们估计司机的几率和致命事故的识别的热点65岁及以上基于从病死率分析报告系统数据的横截面分析2010年至2018年(N = 57715)。结果变量是死亡状态(致命/非致命),和主要独立变量是安全带的使用(未使用/使用)。其他协是酒后驾车,驾驶分心,加快而年龄,性别和安全气囊展开用作混杂因素。事故地点的城乡之间的地位被用作效应调节。比值比是从逻辑回归计算。经年龄调整病死率被计算为每10万人中通过年龄组的平均人口组合物加权的粗死亡率。空间自相关是由局部Moran的I评估,并使用莫兰I指数衍生Z分数进行聚类分析。每县平均年龄调整后的安全带相关的死亡率是2.35,每10万人口(IQR:5.60)。增加在大都市县的致命事件的几率和7倍(经调整的OR:7.43; 95%CI::;:未系安全带用一个11倍(95%CI 11.37 10.18-12.70调整OR)相关联的6.10 -9.04)加大农村县和小城镇的赔率。对于安全带相关的致命交通事故热点在得克萨斯州,南达科他州和密西西比州多个区县发现。研究结果可用于针对65岁以上,以防止致命交通事故县的具体干预。

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