Jakowski Sarah
Unit of Sport Psychology, Faculty of Sport Science, Ruhr University Bochum, Gesundheitscampus Nord 10, 44801 Bochum, Germany.
Ger J Exerc Sport Res. 2022;52(2):253-261. doi: 10.1007/s12662-022-00812-3. Epub 2022 Apr 29.
Self-tracking technologies are possible approaches to support recovery self-management activities for athletes. These may have become even more appealing due to stay-at-home restrictions as part of the 2020 pandemic regulations. This study examined user behaviour of smartphone and wearable technologies among 217 athletes (29% women, age = 26.9 ± 7 years). The online survey comprised demographic questions and standardised questionnaires to assess usage of technologies, sleep quality (Pittsburgh Sleep Quality Index), daytime sleepiness (Epworth Sleepiness Scale), attitudes about sleep (Dysfunctional Beliefs and Attitudes about Sleep Scale), bedtime procrastination (Bedtime Procrastination Scale), and self-control (Brief Self-Control Scale). Fitness apps (46.5%) were more popular than sleep apps (15.7%) followed by nutrition apps (12%). The correlation between sleep apps and the other two apps indicate that non-users of sleep apps are probably also non-users of fitness or nutrition apps. Wearables were more frequently used to track fitness activities (36.9%) than sleep (17.5%). Considering sex, type of sport, competition participation, and training volume, no remarkable characteristics among users versus non-users of sleep apps were identified. There were also no significant differences among sleep indices between sleep app users and non-users. However, self-control was highest among sleep app users compared to non-users ( = 0.58). Despite 34.1% being identified as , behavioural sleeping patterns were within normal range. The results imply that athletes are not as attracted to self-tracking technologies as expected, which makes them less vulnerable to unsubstantiated feedback and inappropriate interventions by those tools. This serves as a starting point to explore the potential of self-tracking ambulatory assessment for physical activity and sleep behaviour of athletes in the post-pandemic era.
自我追踪技术是支持运动员恢复自我管理活动的可行方法。由于2020年疫情防控规定中的居家限制措施,这些技术可能变得更具吸引力。本研究调查了217名运动员(29%为女性,年龄=26.9±7岁)使用智能手机和可穿戴技术的行为。在线调查包括人口统计学问题和标准化问卷,以评估技术使用情况、睡眠质量(匹兹堡睡眠质量指数)、日间嗜睡程度(爱泼华嗜睡量表)、对睡眠的态度(睡眠功能失调信念与态度量表)、睡前拖延(睡前拖延量表)以及自我控制能力(简短自我控制量表)。健身应用程序(46.5%)比睡眠应用程序(15.7%)更受欢迎,其次是营养应用程序(12%)。睡眠应用程序与其他两类应用程序之间的相关性表明,不使用睡眠应用程序的人可能也不使用健身或营养应用程序。可穿戴设备更多地用于追踪健身活动(36.9%)而非睡眠(17.5%)。考虑到性别、运动类型、参赛情况和训练量,未发现睡眠应用程序使用者与非使用者之间有显著特征差异。睡眠应用程序使用者和非使用者的睡眠指标之间也没有显著差异。然而,与非使用者相比,睡眠应用程序使用者的自我控制能力最高(=0.58)。尽管34.1%的人被认定为存在某种情况,但行为睡眠模式仍在正常范围内。结果表明,运动员对自我追踪技术的兴趣不如预期,这使得他们不太容易受到这些工具未经证实的反馈和不适当干预的影响。这为探索疫情后时代自我追踪动态评估对运动员身体活动和睡眠行为的潜力提供了一个起点。