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某特种大队军事训练损伤的危险因素分析 被引量:9

Risk factors of military training injuries in a special force corps
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摘要 [目的]探讨特种兵部队训练损伤的危险因素,为有效防治提供依据。[方法]2006年11月对某特种兵大队823人训练损伤及相关情况进行问卷调查,并核对2005年11月~2006年10月的该部队各级医疗记录。资料数量化后输入计算机,采用SPSS13.0软件行单因素方差分析、二分变量Logistic分析和多元逐步线性回归分析。[结果]单因素方差分析表明,损伤组与未损伤组间,体重(P〈0.05)、体质指数(BMI)(P〈0.05)、单位(P〈0.05)、损伤次数(P〈0.01)、不能耐受训练量的程度(P〈0.01)、对训练安排不满意度(P〈0.01)存在显著差异。Logistic回归分析表明,不能耐受训练量的程度(OR=1.435,P〈0.01)、对训练安排不满意度(OR=1.403,P〈0.01)、单位(OR=1.085,P〈0.05)、BMI(OR=1.099,P〈1.05)是危险因素。多元逐步线性回归分析表明,损伤次数(B=0.683,P〈0.01)、睡眠不良(B=0.755,P〈0.01)、体重(B=0.080,P〈0.01)、不能耐受训练量的程度(B:0.453,P〈0.05)、饮食不良(B=0.559,P〈0.05)入选方程。[结论]体重过大、BMI过高,训练量过大、损伤次数多、不能耐受训练量、对训练安排不满意、饮食不良、睡眠不良是特种兵部队训练损伤发生的危险因素。建议针对这些危险因素采取相应的干预措施。 [ Objective] To explore the risk factors of training injury in a special force corps, provide evidence for effective prevention of the injury. [ Method] A questionnaire on training injuries and relative situations, and review of medical records from Nov. 2005 to Oct. 2006 were performed in 823 soldiers and officers in a special force corps at Nov. 2006. Data were input into computers after quantization, and one way analysis of variance (ANOVA), binary logistic regression and multiple stepwise regression analysis were conducted with SPSS 13.0 software. [ Result] There were significant differences in body weight (P 〈 0.05 ), body mass index (BMI) ( P 〈: 0. 05 ) , unit of training ( P 〈 0.05 ), frequency of injury ( P 〈 0. 05 ) , score of intolerance to training ( P 〈 0. 01 ) and score of un-gratification to program of training ( P 〈 0.01 ) between the injured and uninjured in ANOVA. Logistic regression analysis showed risk factors as follows: score of intolerance to training ( OR =1. 435, P 〈 0.01 ), score of un-gratification to program of training ( OR = 1. 403,P 〈 0. 01 ), unit of training ( OR = 1. 085, P 〈 0. 05 ), BMI ( OR = 1. 099,P 〈 0. 05 ). Frequency of injury ( B = 0. 683, P 〈 0. 01 ), dyssomnias ( B = 0. 755, P 〈 0. 01 ), body weight ( B = 0. 080, P 〈 0. 01 ), score of intolerance to training ( B = 0. 453, P 〈 0. 05 ), anepithymia ( B = 0. 559, P 〈 0. 05 ) were entered into the equation in multiple stepwise regression. [ Conclusion] High body weight, higi BMI ,high amount of training, high frequency of injury, intolerance to training,un-gratification to program of training, dyssomnias, anepithymia are risk factors of training injury in the special force corps. It is suggested that interventions to aim at those risk factors should be conducted to decrease injury rate.
机构地区 解放军第 解放军
出处 《中国矫形外科杂志》 CAS CSCD 北大核心 2009年第20期1580-1583,共4页 Orthopedic Journal of China
关键词 军事训练损伤 特种兵部队 危险因素 方差分析 LOGISTIC回归分析 多元回归分析 military training injury special force corps risk factor analysis of variance (ANOVA) logistic regression multiple regression
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