Using Wearable Technology to Quantify Physical Activity Recovery: Secondary Report From the AFTER (App-Facilitated Tele-Rehabilitation) Program for COVID-19 Survivors Randomized Study.

Q2 Medicine
Laura Churchill, Mary Morrow, Jacob J Capin, Sarah E Jolley, Kristine Hare, Samantha MaWhinney, Jennifer E Stevens-Lapsley, Kristine M Erlandson
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引用次数: 0

Abstract

Background: Knowledge on physical activity recovery after COVID-19 survival is limited. The AFTER (App-Facilitated Tele-Rehabilitation) program for COVID-19 survivors randomized participants, following hospital discharge, to either education and unstructured physical activity or a telerehabilitation program. Step count data were collected as a secondary outcome, and we found no significant differences in total step count trajectories between groups at 6 weeks. Further step count data were not analyzed.

Objective: The purpose of this analysis was to examine step count trajectories and correlates among all participants (combined into a single group) across the 12-week study period.

Methods: Linear mixed models with random effects were used to model daily steps over the number of study days. Models with 0, 1, and 2 inflection points were considered, and the final model was selected based on the highest log-likelihood value.

Results: Participants included 44 adults (41 with available Fitbit [Fitbit LLC] data). Initially, step counts increased by an average of 930 (95% CI 547-1312; P<.001) steps per week, culminating in an average daily step count of 7658 (95% CI 6257-9059; P<.001) at the end of week 3. During the remaining 9 weeks of the study, weekly step counts increased by an average of 67 (95% CI -30 to 163; P<.001) steps per week, resulting in a final estimate of 8258 (95% CI 6933-9584; P<.001) steps.

Conclusions: Participants showed a marked improvement in daily step counts during the first 3 weeks of the study, followed by more gradual improvement in the remaining 9 weeks. Physical activity data and step count recovery trajectories may be considered surrogates for physiological recovery, although further research is needed to examine this relationship.

Trial registration: ClinicalTrials.gov NCT04663945; https://tinyurl.com/2p969ced.

Abstract Image

使用可穿戴技术量化身体活动恢复:来自COVID-19幸存者随机研究AFTER(应用程序促进远程康复)计划的二次报告。
背景:关于COVID-19存活后身体活动恢复的知识有限。针对COVID-19幸存者的AFTER(应用程序促进远程康复)项目在出院后将参与者随机分配到教育和非结构化体育活动或远程康复项目中。步数数据作为次要结果收集,我们发现6周时两组之间的总步数轨迹没有显著差异。未进一步分析步数计数数据。目的:本分析的目的是检查所有参与者(合并为一组)在12周的研究期间的步数轨迹及其相关性。方法:采用随机效应的线性混合模型对研究天数内的每日步数进行建模。考虑具有0、1和2个拐点的模型,并根据最高的对数似然值选择最终模型。结果:参与者包括44名成年人(41名具有可用Fitbit [Fitbit LLC]数据)。最初,步数平均增加930步(95% CI 547-1312;结论:在研究的前3周,参与者的每日步数有了明显的改善,随后在剩下的9周中有了更渐进的改善。体力活动数据和步数恢复轨迹可以被认为是生理恢复的替代品,尽管需要进一步的研究来检验这种关系。试验注册:ClinicalTrials.gov NCT04663945;https://tinyurl.com/2p969ced。
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
CiteScore
4.20
自引率
0.00%
发文量
31
审稿时长
12 weeks
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