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Leveraging existing databases to study vehicle crashes in a combat occupational cohort: Epidemiologic methods.

机译:利用现有数据库研究战斗职业队列中的车辆撞车:流行病学方法。

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BACKGROUND: The US military is a large, well-defined occupational cohort offering tremendous opportunities to study risk factors for important health outcomes. This article describes our nested case-control methods to evaluate risk factors for fatal motor vehicle crashes (MVC) within all Service branches in a 1991 Gulf War era cohort. METHODS: We identified 1,343 cases of fatal MVC between 1991 and 1995 that were also included in the Department of Transportation's Fatality Analysis Reporting System database and, using risk set sampling, selected 13,430 controls. Our final analytic dataset consisted of 980 male driver cases and 12,807 controls linked to multiple databases. RESULTS: Cases were disproportionately younger, less educated, not married, enlisted, and deployed to the Gulf War, compared to controls. CONCLUSIONS: The ability to leverage multiple databases to study risk factors for fatal MVC is clearly advantageous and could eventually lead to the reduction of fatalities in similar occupational cohorts. Am. J. Ind. Med. 48:118-127, 2005. Published 2005 Wiley-Liss, Inc.
机译:背景:美军是一个庞大,定义明确的职业人群,为研究重要健康结果的危险因素提供了巨大的机会。本文介绍了我们的嵌套案例控制方法,以评估1991年海湾战争时代队列中所有Service分支机构中致命的汽车撞车(MVC)的危险因素。方法:我们确定了1991年至1995年之间的1343例致命MVC病例,这些病例也包括在运输部的病死率分析报告系统数据库中,并使用风险集抽样方法,选择了13,430例对照。我们最终的分析数据集由980个男性驾驶员案例和与多个数据库链接的12,807个控件组成。结果:与对照组相比,病例年轻得多,受教育程度较低,未婚,应征并被派往海湾战争。结论:利用多个数据库研究致命MVC的危险因素的能力显然是有利的,并且最终可以减少类似职业人群的死亡人数。上午。 J.工业医学。 48:118-127,2005。2005年Wiley-Liss,Inc.发布

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