Rodríguez-Acosta Rosa L, Byler Christen G, Pratt Stephanie G
National Institute for Occupational Safety and Health, Division of Safety Research, 1000, Frederick Ln., Mail Stop H-1808, Morgantown, WV 26508, USA.
Bureau of Labor Statistics, Occupational Safety and Health Statistics, 2 Massachusetts Avenue NE, Room 3180, Washington, DC 20212, USA.
J Safety Res. 2025 Jul;93:354-364. doi: 10.1016/j.jsr.2025.03.009. Epub 2025 Apr 21.
Motor vehicle crashes (MVCs) are the leading cause of work-related fatalities in the United States. The Bureau of Labor Statistics (BLS), the National Institute for Occupational Safety and Health (NIOSH), and the National Highway Traffic Safety Administration (NHTSA) matched and analyzed the Census of Fatal Occupational Injuries (CFOI) and the Fatality Analysis Reporting System (FARS) to describe work-related MVCs.
BLS matched CFOI and FARS data for 2011-2014. The matching algorithm used a series of iterative matches allowing for increasing levels of flexibility. Descriptive epidemiologic analysis was conducted to examine potential risk factors for MVCs.
Crashes: Information on 3,822 fatal work-related MVCs was successfully matched. A collision (n = 3,156, 82.5%) was most often the first injury- or damage-producing event. Collisions with motor vehicles in transport accounted for 1,769 (46.5%) of crashes. Vehicles: The match identified 3,879 vehicles. Over half (53.6%) were large trucks. In most vehicles, one fatality (n = 3,657) occurred. Multiple worker fatalities per vehicle (n = 203) were more common in heavy trucks (n = 59, 29.1%) and pick-up trucks (n = 36, 17.7%).
The match identified 4,060 workers, 3,581 (88.2%) of whom were drivers. Workers employed in transportation, warehousing, and utilities (38.2%) and services (24.4%) accounted for most fatalities. Among passengers, the highest proportions were observed in mining, quarrying, and oil and gas extraction (28.6%) and construction (20.0%). A small number of drivers were reported as impaired by being asleep or fatigued (5.2%), under the influence of alcohol, drugs, and medications (3.0%) or blacking out (1.8%). For 755 (21.1%) of the 3,581 drivers, the investigating officer indicated that speed contributed to the crash. Conclusions/Practical Applications: The CFOI/FARS matched data analysis provides a fuller understanding of work-related MVCs, thus making it possible to develop focused crash prevention recommendations for workers who drive as part of their job.
机动车碰撞事故（MVCs）是美国与工作相关的死亡事故的主要原因。美国劳工统计局（BLS）、国家职业安全与健康研究所（NIOSH）以及国家公路交通安全管理局（NHTSA）对致命职业伤害普查（CFOI）和死亡分析报告系统（FARS）进行了匹配和分析，以描述与工作相关的机动车碰撞事故。
劳工统计局对2011 - 2014年的CFOI和FARS数据进行了匹配。匹配算法使用了一系列迭代匹配，灵活性逐步提高。进行了描述性流行病学分析，以检查机动车碰撞事故的潜在风险因素。
碰撞事故：成功匹配了3822起与工作相关的致命机动车碰撞事故的信息。碰撞（n = 3156，82.5%）最常是首次造成伤害或损坏的事件。与运输中的机动车碰撞占碰撞事故的1769起（46.5%）。车辆：匹配识别出3879辆车。超过一半（53.6%）是大型卡车。在大多数车辆中，有一人死亡（n = 3657）。每辆车有多名工人死亡（n = 203）在重型卡车（n = 59，29.1%）和皮卡（n = 36，17.7%）中更为常见。
匹配识别出4060名工人，其中3581名（88.2%）是司机。从事运输、仓储和公用事业（38.2%）以及服务业（24.4%）的工人死亡人数最多。在乘客中，采矿、采石和石油与天然气开采行业（28.6%）和建筑业（20.0%）的比例最高。据报告，少数司机因睡着或疲劳（5.2%）、受酒精、药物和药物影响（3.0%）或昏厥（1.8%）而受损。在3581名司机中，有755名（21.1%），调查官员指出速度是导致碰撞事故的原因。结论/实际应用：CFOI/FARS匹配数据分析能更全面地了解与工作相关的机动车碰撞事故，从而有可能为将驾驶作为工作一部分的工人制定有针对性的碰撞预防建议。
