Department of Psychology, University of Essex, Colchester, United Kingdom.
School of Mathematics and Physics, Queen's University Belfast, Belfast, United Kingdom.
Am J Epidemiol. 2018 Jan 1;187(1):53-59. doi: 10.1093/aje/kwx220.
Crash rates per mile indicate a high risk of vehicle crash in older drivers. A reliance on mileage alone may underestimate the risk exposure of older drivers because they tend to avoid highways and travel more on nonfreeways (e.g., urban roads), which present greater hazards. We introduce risk-exposure density as an index of exposure that incorporates mileage, frequency of travel, and travel duration. Population-wide driver fatalities in the United States during 2002-2012 were assessed according to driver age range (in years: 16-20, 21-29, 30-39, 40-49, 50-59, 60-69, ≥70) and sex. Mileage, frequency, and duration of travel per person were used to assess risk exposure. Mileage-based fatal crash risk increased greatly among male (relative risk (RR) = 1.73; 95% CI: 1.62, 1.83) and female (RR = 2.08; 95% CI: 1.97, 2.19) drivers from ages 60-69 years to ages ≥70 years. Adjusting for their density of risk exposure, fatal crash risk increased only slightly from ages 60-69 years to ages ≥70 years among male (RR = 1.09; 95% CI: 1.03, 1.15) and female (RR = 1.22; 95% CI: 1.16, 1.29) drivers. While ubiquitous in epidemiologic research, mileage-based assessments can produce misleading accounts of driver risk. Risk-exposure density incorporates multiple components of travel and reduces bias caused by any single indicator of risk exposure.
每英里事故率表明老年驾驶员发生车辆事故的风险较高。仅依赖里程数可能会低估老年驾驶员的风险暴露,因为他们往往避免高速公路,更多地在非高速公路(如城市道路)上行驶,这些道路存在更大的危险。我们引入风险暴露密度作为一个暴露指数,该指数综合考虑了里程数、出行频率和出行持续时间。根据驾驶员年龄范围(以年为单位:16-20 岁、21-29 岁、30-39 岁、40-49 岁、50-59 岁、60-69 岁、≥70 岁)和性别,评估了 2002-2012 年美国全人群驾驶员死亡情况。使用人均行驶里程、频率和持续时间来评估风险暴露。男性(相对风险(RR)=1.73;95%置信区间(CI):1.62,1.83)和女性(RR=2.08;95%CI:1.97,2.19)驾驶员从 60-69 岁到≥70 岁,基于里程的致命碰撞风险大大增加。调整风险暴露密度后,男性(RR=1.09;95%CI:1.03,1.15)和女性(RR=1.22;95%CI:1.16,1.29)驾驶员从 60-69 岁到≥70 岁,致命碰撞风险仅略有增加。虽然里程评估在流行病学研究中普遍存在,但可能会产生对驾驶员风险的误导性描述。风险暴露密度综合考虑了出行的多个组成部分,并减少了任何单一风险暴露指标引起的偏差。