Welch Neil, Richter Chris, Moran Kieran, Franklyn-Miller Andy
Sports Medicine, Sports Surgery Clinic, Dublin, Ireland.
INSIGHT Research Centre, Dublin City University, Dublin, Ireland.
BMJ Open Sport Exerc Med. 2020 Nov 18;6(1):e000899. doi: 10.1136/bmjsem-2020-000899. eCollection 2020.
The main aim in the current study was to use a single-subject analysis to profile the physical performance characteristics of individuals within an injured group and a between-group approach to profile the group as a whole. These profiles were then used to inform single-subject and between-group rehabilitation interventions.
Fifty-three (28 with athletic groin pain and 25 non-injured) Gaelic football players (24.8 years±7.1 years; 179 cm±5.5 cm; 79.7 kg±9.2 kg) underwent 3D biomechanical analysis, which was used to measure a series of physical performance characteristics. The non-injured group was used to create a 'performance database' to compare the injured individuals, and a between-group analysis was also conducted. The scores from each analysis were used to inform the targets of interventions.
The analysis highlighted the variety of profiles that existed across the tested individuals and that these profiles differed from that of the between-group analysis. By analysing individuals in a single-subject approach, detail can be seen that is lost with between-group analysis.
本研究的主要目的是采用单受试者分析来描述受伤组内个体的身体机能特征,并采用组间分析来描述整个组的特征。然后利用这些特征来指导单受试者和组间康复干预。
53名盖尔式足球运动员(28名患有运动性腹股沟疼痛,25名未受伤)(年龄24.8岁±7.1岁;身高179 cm±5.5 cm;体重79.7 kg±9.2 kg)接受了三维生物力学分析,该分析用于测量一系列身体机能特征。未受伤组用于创建一个“机能数据库”,以与受伤个体进行比较,同时也进行了组间分析。每次分析的得分用于指导干预目标。
分析突出了受试个体间存在的多种特征,且这些特征与组间分析的结果不同。通过单受试者方法分析个体,可以看到在组间分析中丢失的细节。