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Successful adherence and retention to daily monitoring of physical activity: Lessons learned

机译:成功坚持并坚持日常体育锻炼监测:经验教训

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摘要

Research utilizing repeated-measures such as daily assessments with self-report and/or objective measures [e.g., physical activity (PA) monitors] are important in understanding health behaviors and informing practice and policy. However, studies that utilize daily assessment often encounter issues with attrition and non-compliance. The current research yielded high levels of retention and adherence with both self-report and objective daily measures. The purpose of this paper is to highlight and discuss strategies utilized in maximizing retention, minimizing missing data, and some lessons learned from the research experience. Fifty community participants took part in a 4-week study utilizing both daily self-report questionnaires and daily use of PA monitors (Fitbit One). This study focused on typical daily PA and was not an intervention study (e.g., participants were not randomized nor asked to change their PA behavior). Participants completed the study in two waves (wave 1 n = 10, wave 2 n = 40). The research team utilized several retention strategies including automating the data collection process, a prorated incentive structure, having a dedicated and responsive study staff, and utilizing the 2-wave process to optimize data collection during the 2nd wave. The study had 100% retention and generally positive anonymous feedback post-study. Overall, participants completed the vast majority of daily surveys (97%) and wore their Fitbits (for at least part of the day) on almost all days (99.57%) of the study, although there were individual differences. The strategies discussed and lessons learned may be useful to other researchers using daily measurements for whom adherence and retention are important issues. Future research employing these strategies in different populations, with different measurements, and for longer durations is warranted to determine generalizability.
机译:利用重复措施(例如每日评估和自我报告和/或客观措施,例如身体活动(PA)监测器)进行的研究对于理解健康行为并告知实践和政策很重要。但是,利用日常评估的研究经常会遇到损耗和不合规的问题。当前的研究通过自我报告和客观的日常测量产生了很高的保留率和依从性。本文的目的是重点介绍和讨论用于最大程度地提高保留率,最小化丢失数据的策略,以及从研究经验中学到的一些经验教训。五十名社区参与者参加了为期4周的研究,其中既使用每日自我报告调查表,也使用每日使用PA监视器(Fitbit One )。这项研究侧重于典型的日常PA,而不是一项干预性研究(例如,参与者没有被随机分组​​,也没有要求改变其PA行为)。参与者分两波完成了研究(波1 n = 10,波2 n = 40)。研究团队利用了几种保留策略,包括自动化数据收集过程,按比例分配激励结构,拥有敬业且反应迅速的研究人员以及利用2波过程优化第二波 波期间的数据收集。 。该研究具有100%的保留率,研究后总体上匿名反馈积极。总体而言,尽管存在个体差异,但参与者几乎完成了所有研究(99.57%),都完成了大部分的日常调查(97%),并在几乎整个研究阶段(99.57%)都佩戴了Fitbits(至少一天中的一部分)。讨论的策略和汲取的教训对于使用每日测量的其他研究人员可能会非常有用,因为对于他们而言,坚持和保留是重要问题。将来有必要在不同人群中以不同的测量方法以及较长的时间采用这些策略来确定普遍性。

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