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利用大规模传感器数据测试预测居家运动康复中坚持度的因素:早期运动频率和计划一致性。

Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2024;32:3251-3260. doi: 10.1109/TNSRE.2024.3428915. Epub 2024 Sep 10.

Abstract

Home-based exercises are an important component of stroke rehabilitation but are seldom fully completed. Past studies of exercise perseverance in the general public have suggested the importance of early exercise frequency and schedule consistency (in terms of which days of the week exercises are performed) because they encourage habit formation. To test whether these observations apply after a stroke, we leveraged data from 2,583 users of a sensor-based system (FitMi) developed to motivate movement exercises at home. We grouped users based on their early exercise frequency (defined across the initial 6 weeks of use) and calculated the evolution of habit score (defined as exercise frequency multiplied by exercise duration) across 6 months. We found that habit score decayed exponentially over time but with a slower decay constant for individuals with higher early frequency. Only the group with an early exercise frequency of 4 days/week or more had non-zero habit score at six months. Within each frequency group, dividing individuals into higher and lower consistency subgroups revealed that the higher consistency subgroups had significantly higher habit scores. These results are consistent with previous studies on habit formation in exercise and may help in designing effective home rehabilitation programs after stroke.

摘要

家庭锻炼是中风康复的重要组成部分,但很少能完全完成。过去对普通人群中锻炼坚持性的研究表明,早期锻炼频率和日程一致性(即每周哪几天进行锻炼)很重要,因为它们有助于形成习惯。为了测试这些观察结果是否适用于中风后,我们利用了基于传感器系统(FitMi)的 2583 名用户的数据,该系统旨在激励在家中进行运动锻炼。我们根据早期锻炼频率(在使用的最初 6 周内定义)对用户进行分组,并在 6 个月内计算习惯得分(定义为锻炼频率乘以锻炼时间)的演变。我们发现习惯得分随时间呈指数衰减,但早期频率较高的个体衰减常数较慢。只有早期锻炼频率达到每周 4 天或以上的组在 6 个月时有非零的习惯得分。在每个频率组内,将个体分为更高和更低一致性亚组,结果表明,更高一致性亚组的习惯得分明显更高。这些结果与之前关于锻炼中习惯形成的研究一致,可能有助于设计中风后有效的家庭康复计划。

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