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Socioeconomic status related to severity of motor vehicle crash injury in New Hampshire.

机译:新罕布什尔州与汽车碰撞伤害严重程度相关的社会经济状况。

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摘要

Motor vehicle crashes (MVCs) are rapid and violent events that are potentially preventable. During the 5-year study period, there were over 162,000 MVCs resulting in more than 78,665 injuries on the roads in the state of New Hampshire. This study examined the impact of socioeconomic status (SES) has on the severity of injury in hospitalized patients, with the premise, people with lower SES have more severe injuries than people without low SES. This study expands on previous SES and injury research on hospitalized children in one county to include all hospitalized patients in an entire state. Secondary datasets were linked together to produce a dataset describing MVCs and their outcomes. Variables in this dataset were analyzed using a student's t-test for significance then included in a full linear regression model which revealed age, gender, median family income, percentage of families in poverty, and being the driver to be associated with and increase in injury severity scores. Age, gender, and being the driver remained associated in a stepwise linear regression model. In the analysis, those with the individual low SES indicator, as measured by Medicaid or self insured, had significantly worse injuries. One of the core functions of public heath is policy development. This research exemplifies policy development, legislators, safety, and public health policy makers will be able to concentrate resources such as education and enforcement in low SES communities to reduce the number and severity of injuries from MVCs. The limitations of this study and opportunities for future research include comorbidities, medical services, other vehicle safety equipment, and road conditions.
机译:机动车碰撞(MVC)是快速而剧烈的事件,可以预防。在为期5年的研究期内,新罕布什尔州的道路上有超过162,000辆MVC,造成超过78,665人受伤。这项研究检查了社会经济状况(SES)对住院患者伤害严重程度的影响,在此前提下,SES较低者比SES低者更为严重。这项研究扩展了先前对一个县的住院儿童进行的SES和伤害研究,以涵盖整个州的所有住院患者。二级数据集链接在一起以生成描述MVC及其结果的数据集。使用学生的t检验分析了该数据集中的变量的显着性,然后将其包含在一个完整的线性回归模型中,该模型揭示了年龄,性别,家庭收入中位数,贫困家庭的百分比,以及与伤害相关并增加伤害的驱动因素严重程度分数。在逐步线性回归模型中,年龄,性别以及成为推动者仍然保持联系。在分析中,通过医疗补助或自我保险来衡量,那些具有单独的低SES指标的人受伤严重得多。政策制定是公共卫生的核心功能之一。这项研究例证了政策制定,立法者,安全和公共卫生政策制定者将能够在低SES社区中集中资源,例如教育和执法,以减少MVC造成的伤害数量和严重程度。本研究的局限性和未来的研究机会包括合并症,医疗服务,其他车辆安全设备和道路状况。

著录项

  • 作者单位

    Walden University.;

  • 授予单位 Walden University.;
  • 学科 Health Sciences Public Health.;Health Sciences Epidemiology.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 91 p.
  • 总页数 91
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

  • 入库时间 2022-08-17 11:39:47

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