University of Michigan Transportation Research Institute, Ann Arbor, MI 48109-2150, USA.
Obesity (Silver Spring). 2013 Jan;21(1):E88-97. doi: 10.1002/oby.20079.
Determine the effects of BMI on the risk of serious-to-fatal injury (Abbreviated Injury Scale ≥ 3 or AIS 3+) to different body regions for adults in frontal, nearside, farside, and rollover crashes.
Multivariate logistic regression analysis was applied to a probability sample of adult occupants involved in crashes generated by combining the National Automotive Sampling System (NASS-CDS) with a pseudoweighted version of the Crash Injury Research and Engineering Network database. Logistic regression models were applied to weighted data to estimate the change in the number of occupants with AIS 3+ injuries if no occupants were obese.
Increasing BMI increased risk of lower-extremity injury in frontal crashes, decreased risk of lower-extremity injury in nearside impacts, increased risk of upper-extremity injury in frontal and nearside crashes, and increased risk of spine injury in frontal crashes. Several of these findings were affected by interactions with gender and vehicle type. If no occupants in frontal crashes were obese, 7% fewer occupants would sustain AIS 3+ upper-extremity injuries, 8% fewer occupants would sustain AIS 3+ lower-extremity injuries, and 28% fewer occupants would sustain AIS 3+ spine injuries.
Results of this study have implications on the design and evaluation of vehicle safety systems.
确定 BMI 对成年人正面、近侧、远侧和翻车碰撞中不同身体区域严重至致命伤害（损伤严重程度评分≥3 或 AIS3+）风险的影响。
采用多元逻辑回归分析方法，对全国汽车抽样系统（NASS-CDS）与碰撞伤害研究与工程网络数据库的伪加权版本相结合生成的碰撞中成年乘员的概率样本进行分析。逻辑回归模型应用于加权数据，以估计如果没有肥胖者，AIS3+伤害的乘员数量的变化。
BMI 增加会增加正面碰撞中下肢受伤的风险，减少近侧碰撞中下肢受伤的风险，增加正面和近侧碰撞中上肢受伤的风险，以及正面碰撞中脊柱受伤的风险。这些发现中的一些受到性别和车辆类型交互作用的影响。如果正面碰撞中没有肥胖者，那么 AIS3+上肢受伤的乘员将减少 7%，AIS3+下肢受伤的乘员将减少 8%，AIS3+脊柱受伤的乘员将减少 28%。
本研究结果对车辆安全系统的设计和评估具有重要意义。
