Stanish H I, Wood T M, Campagna P
School of Health and Human Performance, Dalhousie University, Halifax, Nova Scotia, Canada.
J Occup Environ Med. 1999 Aug;41(8):669-77. doi: 10.1097/00043764-199908000-00009.
The Royal Canadian Mounted Police use the Physical Ability Requirement Evaluation (PARE) for screening applicants. The purposes of this investigation were to identify those field tests of physical fitness that were associated with PARE performance and determine which most accurately classified successful and unsuccessful PARE performers. The participants were 27 female and 21 male volunteers. Testing included measures of aerobic power, anaerobic power, agility, muscular strength, muscular endurance, and body composition. Multiple regression analysis revealed a three-variable model for males (70-lb bench press, standing long jump, and agility) explaining 79% of the variability in PARE time, whereas a one-variable model (agility) explained 43% of the variability for females. Analysis of the classification accuracy of the males' data was prohibited because 91% of the males passed the PARE. Classification accuracy of the females' data, using logistic regression, produced a two-variable model (agility, 1.5-mile endurance run) with 93% overall classification accuracy.
加拿大皇家骑警使用体能要求评估(PARE)来筛选申请人。这项调查的目的是确定那些与PARE表现相关的体能现场测试,并确定哪些测试能最准确地对PARE测试合格者和不合格者进行分类。参与者为27名女性和21名男性志愿者。测试包括有氧能力、无氧能力、敏捷性、肌肉力量、肌肉耐力和身体成分的测量。多元回归分析显示,男性的三变量模型(70磅卧推、立定跳远和敏捷性)解释了PARE时间变异性的79%,而女性的单变量模型(敏捷性)解释了43%的变异性。由于91%的男性通过了PARE,因此无法对男性数据的分类准确性进行分析。使用逻辑回归对女性数据进行分类准确性分析,得出了一个双变量模型(敏捷性、1.5英里耐力跑),总体分类准确率为93%。