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训练-监测参与度:精英运动中的循证方法。

Training-Monitoring Engagement: An Evidence-Based Approach in Elite Sport.

作者信息

Neupert Emma C, Cotterill Stewart T, Jobson Simon A

出版信息

Int J Sports Physiol Perform. 2019 Jan 1;14(1):99-104. doi: 10.1123/ijspp.2018-0098.

DOI:10.1123/ijspp.2018-0098
PMID:29952658
Abstract

PURPOSE

Poor athlete buy-in and adherence to training-monitoring systems (TMS) can be problematic in elite sport. This is a significant issue, as failure to record, interpret, and respond appropriately to negative changes in athlete well-being and training status may result in undesirable consequences such as maladaptation and/or underperformance. This study examined the perceptions of elite athletes to their TMS and their primary reasons for noncompletion.

METHODS

Nine national-team sprint athletes participated in semistructured interviews on their perceptions of their TMS. Interview data were analyzed qualitatively, based on grounded theory, and TMS adherence information was collected.

RESULTS

Thematic analysis showed that athletes reported their main reason for poor buy-in to TMS was a lack of feedback on their monitoring data from key staff. Furthermore, training modifications made in response to meaningful changes in monitoring data were sometimes perceived to be disproportionate, resulting in dishonest reporting practices.

CONCLUSIONS

Perceptions of opaque or unfair decision making on training-program modifications and insufficient feedback were the primary causes for poor athlete TMS adherence. Supporting TMS implementation with a behavioral-change model that targets problem areas could improve buy-in and enable limited resources to be appropriately directed.

摘要

目的

在精英运动中,运动员对训练监测系统(TMS)的接受度低和依从性差可能会引发问题。这是一个重大问题,因为未能记录、解读并适当应对运动员健康状况和训练状态的负面变化可能会导致诸如适应不良和/或表现不佳等不良后果。本研究调查了精英运动员对其TMS的看法及其未完成使用的主要原因。

方法

九名国家队短跑运动员参与了关于他们对TMS看法的半结构化访谈。基于扎根理论对访谈数据进行了定性分析,并收集了TMS依从性信息。

结果

主题分析表明,运动员报告他们对TMS接受度低的主要原因是缺乏关键工作人员对其监测数据的反馈。此外,针对监测数据的有意义变化所做的训练调整有时被认为不成比例,从而导致不实报告行为。

结论

对训练计划调整的决策不透明或不公平以及反馈不足的看法是运动员对TMS依从性差的主要原因。用针对问题领域的行为改变模型来支持TMS的实施,可以提高接受度,并使有限的资源得到合理分配。

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