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Models to predict injury, physical fitness failure and attrition in recruit training: a retrospective cohort study

机译:招聘训练中预测伤害,身体健身失效和消耗的模型:回顾性队列研究

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BACKGROUND:Attrition rate in new army recruits is higher than in incumbent troops. In the current study, we identified the risk factors for attrition due to injuries and physical fitness failure in recruit training. A variety of predictive models were attempted.METHODS:This retrospective cohort included 19,769 Army soldiers of the Australian Defence Force receiving recruit training during a period from 2006 to 2011. Among them, 7692 reserve soldiers received a 28-day training course, and the remaining 12,077 full-time soldiers received an 80-day training course. Retrieved data included anthropometric measures, course-specific variables, injury, and physical fitness failure. Multivariate regression was used to develop a variety of models to predict the rate of attrition due to injuries and physical fitness failure. The area under the receiver operating characteristic curve was used to compare the performance of the models.RESULTS:In the overall analysis that included both the 28-day and 80-day courses, the incidence of injury of any type was 27.8%. The 80-day course had a higher rate of injury if calculated per course (34.3% vs. 17.6% in the 28-day course), but lower number of injuries per person-year (1.56 vs. 2.29). Fitness test failure rate was significantly higher in the 28-day course (30.0% vs. 12.1%). The overall attrition rate was 5.2 and 5.0% in the 28-day and 80-day courses, respectively. Stress fracture was common in the 80-day course (n?=?44) and rare in the 28-day course (n?=?1). The areas under the receiver operating characteristic curves for the course-specific predictive models were relatively low (ranging from 0.51 to 0.69), consistent with "failed" to "poor" predictive accuracy. The course-combined models performed somewhat better than the course-specific models, with two models having AUC of 0.70 and 0.78, which are considered "fair" predictive accuracy.CONCLUSION:Attrition rate was similar between 28-day and 80-day courses. In comparison to the 80-day full course, the 28-day course had a lower rate of injury but a higher number of injuries per person-year and of fitness test failure. These findings suggest fitness level at the commencement of training is a critically important factor to consider when designing the course curriculum, particularly short courses.
机译:背景:新陆军新兵的消耗率高于现任部队。在目前的研究中,我们确定了由于招聘培训的伤害和身体健康失败而导致的消耗危险因素。尝试了各种预测模型。方法:这种回顾性队列包括19,769名澳大利亚国防军的军队士兵,澳大利亚国防军在2006年至2011年期间收到招聘培训。其中,7692名储备士兵收到了28天的培训课程,剩下的培训课程12,077名全职士兵收到了80天的培训课程。检索数据包括人体测量措施,课程特定的变量,伤害和身体健康失败。多元回归用于开发各种模型,以预测因伤害和身体健康衰竭而导致的磨损率。接收器操作特性曲线下的区域用于比较模型的性能。结果:在包括28天和80天课程的总体分析中,任何类型损伤的发生率为27.8%。如果每门课程计算,80天的课程具有较高的伤害率(在28天的课程中为34.3%),但每人伤害数量较少(1.56 vs.29)。 28天课程的健身试验失效率明显高(30.0%对12.1%)。在28天和80天的课程中,总体磨损率分别为5.2和5.0%。在80天的过程中(n?= 44)和罕见的28天课程(n?=?1),应激骨折常见。接收器的接收器操作特性曲线的区域相对较低(范围为0.51至0.69),与“失败”到“差”预测准确性一致。课程组合模型比课程专用型号更好,具有0.70和0.78的两个模型,这些模型被认为是“公平”的预测精度。结论:28天和80天的课程之间的磨损率相似。与80天的全部课程相比,28天的课程具有较低的伤害率,但每人损伤数量较高,健身试验失败。这些调查结果表明,在设计课程课程时,特别是短疗程时,培训的开始是一个批判性重要因素。

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