Raglin J S, Morgan W P
Indiana University, Bloomington.
Int J Sports Med. 1994 Feb;15(2):84-8. doi: 10.1055/s-2007-1021025.
In an attempt to identify athletes at risk of training-induced distress, a scale was developed using items from the Profile of Mood States (POMS). POMS data were collected monthly from 170 varsity college swimmers (70 female, 100 male) during four competitive training seasons. The team coaches identified swimmers who showed signs of compromised performance in response to intensive training (i.e., distress), and several series of discriminant function analyses were conducted in attempts to identify these individuals using POMS scale items. Discriminant function equations derived from subsets of items from the entire POMS items pool resulted in a mean prediction rate for identifying distressed swimmers of 93.9% for men and 100% for women. Seven POMS items which entered the equations most frequently served as predictor variables for analyses of a sample of 33 men swimmers. Predictions of distress were conducted at each monthly assessment. The prediction rate of distress achieved with the 7-item set of POMS items averaged 69.1%, and this level of accuracy was 37.0% above the chance rate of prediction (p < 0.05). In a cross-validation on 29 collegiate track and field athletes, the prediction rate of the 7-item scale was 66.7% (p < 0.05). It is concluded that the scale developed in this investigation was effective in identifying swimmers and other endurance athletes who exhibit signs of distress resulting from intensive training.
为了识别有训练引起的困扰风险的运动员,研究人员使用了情绪状态剖面图(POMS)中的项目开发了一个量表。在四个竞技训练赛季中,每月从170名大学游泳校队队员(70名女性,100名男性)收集POMS数据。团队教练确定那些在高强度训练后表现出成绩下降迹象的游泳运动员(即困扰),并进行了一系列判别函数分析,试图使用POMS量表项目识别这些个体。从整个POMS项目库的项目子集中得出的判别函数方程,识别困扰男性游泳运动员的平均预测率为93.9%,女性为100%。进入方程最频繁的7个POMS项目用作对33名男性游泳运动员样本进行分析的预测变量。在每次月度评估时进行困扰预测。7个POMS项目集实现的困扰预测率平均为69.1%,这一准确率比随机预测率高出37.0%(p<0.05)。在对29名大学田径运动员的交叉验证中,7项量表的预测率为66.7%(p<0.05)。研究得出结论,本研究中开发的量表在识别因高强度训练而出现困扰迹象的游泳运动员和其他耐力运动员方面是有效的。