Obesity is associated with the future risk of heavy truck crashes among newly recruited commercial drivers
Obesity is associated with the future risk of heavy truck crashes among newly recruited commercial drivers
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DOI：
10.1016/j.aap.2012.02.018
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发表时间：
2012-11-01
影响因子：
5.9
通讯作者：
Burks, Stephen V.
中科院分区：
文献类型：
--
作者：
Anderson, Jon E.;Govada, Manjari;Burks, Stephen V.
本研究评估了重型商用汽车操作者的身体质量指数(BMI)与碰撞风险之间的剂量-反应关系。在前两周的培训中，744名新卡车司机在合作卡车运输公司运营的一所学校接受了商业驾照培训，数据是从这些新司机那里收集的。然后，使用公司的运营数据对司机进行前瞻性跟踪，跟踪时间为两年，或者直到员工离职，以先发生的为准。采用多变量Poisson回归和Cox比例风险模型，控制人口学特征和道路风险暴露的差异，估计碰撞风险和BMI之间的关系。泊松回归的结果表明，与正常的BMI(18.5<；BMI<；25)相比，II级和III级合并肥胖的司机发生所有撞车事故的风险比(RR)显著更高：RR=1.55(95%可信区间1.24-1.94)。同样，多变量COX比例风险模型(每周控制里程和工作类型)显示，与相同组合肥胖II级和III级的正常BMI相比，撞车风险显著增加：RR=1.54(95%可信区间1.13-2.10)。这项前瞻性研究的结果建立了肥胖和撞车风险之间的联系，并对司机的健康和公共安全具有重要影响。(C)2012爱思唯尔有限公司。保留所有权利。
This study estimates the dose-response relationship between body mass index (BMI) and crash risk in operators of heavy commercial motor vehicles. Intake data were collected during the first two weeks of instruction from 744 new truck drivers training for their commercial driver's licenses at a school operated by the cooperating trucking firm. Drivers were then followed prospectively on the job using the firm's operational data for two years, or until employment separation, whichever came first. Multivariate Poisson regression and Cox proportional hazards models were used to estimate the relationship between crash risk and BMI, controlling for demographic characteristics and for variations in the exposure to risks on the road. Results from the Poisson regression, which used cumulative miles driven as an exposure control, indicated that compared to normal BMI (18.5 < BMI < 25) the risk ratio (RR) for all crashes was significantly higher for drivers in the combined obesity Classes II and III: RR = 1.55 (95% Cl 1.24-1.94). Similarly, the multivariate Cox proportional hazard model (controlling for miles and job type on a week-by-week basis) showed that crash risk was significantly higher compared to normal BMI for the same combined obesity Classes II and III: RR = 1.54 (95% Cl 1.13-2.10). The results of this prospective study establish an association between obesity and crash risk and have important implications for driver health and public safety. (C) 2012 Elsevier Ltd. All rights reserved.