随着2020年COVID大流行限制的引入,使用加速度计跟踪步进行为的变化:案例研究

Tiereny McGuire, Kirstie Devin, Victoria Patricks, Benjamin Griffiths, C. Speirs, M. Granat
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引用次数: 1

摘要

导言:COVID-19封锁对自由生活活动施加了限制。这些活动的变化可以使用组合测量准确地量化。该研究使用activPAL3和自我报告收集活动数据,旨在量化封锁前和封锁期间身体活动和久坐行为发生的变化。该研究还试图确定室内和室外行走的变化。方法:使用activPAL3,四名参与者记录了封锁前和封锁期间(2020年2月至6月)的身体活动数据。采用基于事件的CREA算法记录和分析单事件(坐、站、走、躺)。分析的重点是步数、久坐时间和躺在床上的时间;计算中位数和四分位数范围。每日步数分为室内步数和室外步数。结果:捕获了封锁前33天和封锁后92天的有效数据。所有参与者的平均每日步数减少了14.8%(从封锁前的5828步减少到封锁后的4963步),而久坐和躺着的时间分别增加了4%和8%(久坐:9.98-10.30小时;说谎:9.33-10.05小时)。在封锁前和封锁中,久坐的时间(001:8.44-8.66、002:7.41-8.66、003:11.97-10.59、004:6.29-7.94、躺着的时间(001:9.69-9.49、002:11.46-11.66、003:7.63-9.34、004:9.7-11.12)存在个体差异。在室内/室外步进的自我报告与算法分类中观察到三名参与者的差异。结论:定量研究表明,封锁限制对身体活动和久坐行为产生负面影响;与健康结果密切相关的两个变量。这对公共卫生政策具有重要意义,有助于制定有针对性的干预措施和命令,鼓励额外的身体活动和减少久坐行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Accelerometers to Track Changes in Stepping Behavior With the Introduction of the 2020 COVID Pandemic Restrictions: A Case Study
Introduction: The COVID-19 lockdown introduced restrictions to free-living activities. Changes to these activities can be accurately quantified using combined measurement. Using activPAL3 and self-reports to collect activity data, the study aimed to quantify changes that occurred in physical activity and sedentary behavior between prelockdown and lockdown. The study also sought to determine changes in indoor and outdoor stepping. Methods: Using activPAL3, four participants recorded physical activity data prelockdown and during lockdown restrictions (February–June 2020). Single events (sitting, standing, stepping, lying) were recorded and analyzed by the CREA algorithm using an event-based approach. The analysis focused on step count, sedentary time, and lying (in bed) time; median and interquartile range were calculated. Daily steps classified as taking place indoors and outdoors were calculated separately. Results: 33 prelockdown and 92 in-lockdown days of valid data were captured. Median daily step count across all participants reduced by 14.8% (from 5,828 prelockdown to 4,963 in-lockdown), while sedentary and lying time increased by 4% and 8%, respectively (sedentary: 9.98–10.30 hr; lying: 9.33–10.05 hr). Individual variations were observed in hours spent sedentary (001: 8.44–8.66, 002: 7.41–8.66, 003: 11.97–10.59, 004: 6.29–7.94, and lying (001: 9.69–9.49, 002: 11.46–11.66, 003: 7.63–9.34, 004: 9.7–11.12) pre- and in-lockdown. Discrepancies in self-report versus algorithm classification of indoor/outdoor stepping were observed for three participants. Conclusion: The study quantitively showed lockdown restrictions negatively impacted physical activity and sedentary behavior; two variables closely linked to health outcomes. This has important implications for public health policies to help develop targeted interventions and mandates that encourage additional physical activity and lower sedentary behavior.
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