Compliance of self-measured HRV using smartphone applications in collegiate athletes

Q1 Business, Management and Accounting
Clifton J. Holmes , Sara R. Sherman , Bjoern Hornikel , Zackary S. Cicone , Stefanie A. Wind , Michael R. Esco
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引用次数: 2

Abstract

Purpose

With the continued rise of technology in sports, many innovations have been made with smartphone applications designed to measure physiological fatigue and recovery. However, the proper methodology and potential pitfalls for long-term monitoring have not been fully explored. Therefore, this study aimed to observe compliance rates of self-measured daily heart rate variability (HRV) recordings in collegiate athletes from two different sports teams throughout their competitive seasons.

Methods

Sixteen male hockey players and forty-seven female rowers participated in this study. Daily HRV measurements were collected over 17 weeks. Athletes were categorized as Compliant or Non-compliant based on a 43% compliance rate threshold.

Results

Of the 16 hockey players, all were above the 43% threshold and considered Compliant. As a team, weekly compliance rates varied throughout the data collection reaching a high of 99.11% and a low of 37.50%. Of the 47 rowers, 26 athletes were categorized as Compliant while the remaining 21 athletes were categorized as Non-compliant, falling below the 43% threshold. As a team, weekly compliance rates varied throughout the data collection reaching a high of 70.81% and a low of 8.70%.

Conclusions

Smartphone-derived measures of HRV are valid and reliable tools for assessing training status and recovery in athletes. New applications provide a practical means for obtaining daily recordings. However, longitudinal monitoring of team-sport athletes may be difficult due to decreases in compliance. Coaches and practitioners should have plans in place to keep athletes actively involved in data collection with effective communication and proper explanation of the importance of the measures being taken.

大学生运动员智能手机应用自测心率的依从性
随着体育技术的不断发展,智能手机应用程序已经进行了许多创新,旨在测量生理疲劳和恢复。然而,长期监测的适当方法和潜在缺陷尚未得到充分探讨。因此,本研究旨在观察来自两个不同运动队的大学运动员在整个比赛赛季中自我测量的每日心率变异性(HRV)记录的依从率。方法16名男子曲棍球运动员和47名女子赛艇运动员参与了本研究。在17周内收集每日HRV测量值。运动员根据43%的合规率阈值被分类为合规或不合规。结果16名冰球运动员均高于43%的阈值,被认为是顺从的。作为一个团队,在整个数据收集过程中,每周的合规率各不相同,最高达到99.11%,最低达到37.50%。在47名赛艇运动员中,26名运动员被归类为“合规”,其余21名运动员被归类为“不合规”,低于43%的门槛。作为一个团队,在整个数据收集过程中,每周的合规率各不相同,最高为70.81%,最低为8.70%。结论智能手机HRV测量是评估运动员训练状态和恢复的有效可靠的工具。新的应用程序为获取日常录音提供了实用的手段。然而,由于依从性降低,对团队运动运动员进行纵向监测可能很困难。教练和从业人员应该制定计划,让运动员积极参与数据收集,并对所采取措施的重要性进行有效的沟通和适当的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of High Technology Management Research
Journal of High Technology Management Research Business, Management and Accounting-Strategy and Management
CiteScore
5.80
自引率
0.00%
发文量
9
审稿时长
62 days
期刊介绍: The Journal of High Technology Management Research promotes interdisciplinary research regarding the special problems and opportunities related to the management of emerging technologies. It advances the theoretical base of knowledge available to both academicians and practitioners in studying the management of technological products, services, and companies. The Journal is intended as an outlet for individuals conducting research on high technology management at both a micro and macro level of analysis.
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