Butler Robert J, Contreras Michael, Burton Lee C, Plisky Phillip J, Goode Adam, Kiesel Kyle
Doctor Division of Physical Therapy, Duke University, Durham, NC, USA.
Work. 2013 Jan 1;46(1):11-7. doi: 10.3233/WOR-121545.
To examine whether measures of physiologic function and fundamental movement are predictive of injury in firefighters during a training academy.
108 firefighter trainees enrolled in the training academy.
Baseline measures of physical performance and fundamental movement patterns were obtained in firefighters entering a training academy to determine predictors of injury. The physical performance measures were standardized tests of individual maximum performance on a set of four different total body tests and one firefighter specific performance test, the tower test. Measurements of fundamental movement patterns consisted of the seven tests of the Functional Movement Screen (FMS) along with the composite score.Performance on each of the individual tests was examined to determine if any of the variables were predictive of injury.
ROC curve analysis established that a FMS cut score of ≤ 14 was able to discriminate between those at a greater risk for injury. In addition, the deep squat and push up component of the FMS were statistically significant predictors of injury status along with the sit and reach test.
Injury in firefighters during academy can be predicted by baseline measures of musculoskeletal movement and physiology.
研究生理功能和基本运动指标是否能预测消防员在消防学院培训期间的受伤情况。
108名参加消防学院培训的学员。
对进入消防学院的消防员进行身体机能和基本运动模式的基线测量，以确定受伤的预测因素。身体机能测量包括四项不同的全身测试和一项消防员特定表现测试（塔楼测试）中的个人最大表现标准化测试。基本运动模式测量包括功能动作筛查（FMS）的七项测试以及综合得分。对每项单独测试的表现进行检查，以确定是否有任何变量可预测受伤情况。
ROC曲线分析表明，FMS得分≤14能够区分受伤风险较高的人群。此外，FMS中的深蹲和俯卧撑部分以及坐位体前屈测试在统计学上是受伤状况的显著预测因素。
消防学院学员的受伤情况可通过肌肉骨骼运动和生理的基线测量来预测。
