Hartman Sheri J, Nelson Sandahl H, Weiner Lauren S
Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States.
University of California San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, United States.
JMIR Mhealth Uhealth. 2018 Feb 5;6(2):e29. doi: 10.2196/mhealth.8503.
There has been a rapid increase in the use of technology-based activity trackers to promote behavior change. However, little is known about how individuals use these trackers on a day-to-day basis or how tracker use relates to increasing physical activity.
The aims were to use minute level data collected from a Fitbit tracker throughout a physical activity intervention to examine patterns of Fitbit use and activity and their relationships with success in the intervention based on ActiGraph-measured moderate to vigorous physical activity (MVPA).
Participants included 42 female breast cancer survivors randomized to the physical activity intervention arm of a 12-week randomized controlled trial. The Fitbit One was worn daily throughout the 12-week intervention. ActiGraph GT3X+ accelerometer was worn for 7 days at baseline (prerandomization) and end of intervention (week 12). Self-reported frequency of looking at activity data on the Fitbit tracker and app or website was collected at week 12.
Adherence to wearing the Fitbit was high and stable, with a mean of 88.13% of valid days over 12 weeks (SD 14.49%). Greater adherence to wearing the Fitbit was associated with greater increases in ActiGraph-measured MVPA (b=0.35, P<.001). Participants averaged 182.6 minutes/week (SD 143.9) of MVPA on the Fitbit, with significant variation in MVPA over the 12 weeks (F=1.91, P=.04). The majority (68%, 27/40) of participants reported looking at their tracker or looking at the Fitbit app or website once a day or more. Changes in Actigraph-measured MVPA were associated with frequency of looking at one's data on the tracker (b=-1.36, P=.07) but not significantly associated with frequency of looking at one's data on the app or website (P=.36).
This is one of the first studies to explore the relationship between use of a commercially available activity tracker and success in a physical activity intervention. A deeper understanding of how individuals engage with technology-based trackers may enable us to more effectively use these types of trackers to promote behavior change.
ClinicalTrials.gov NCT02332876; https://clinicaltrials.gov/ct2/show/NCT02332876?term=NCT02332876 &rank=1 (Archived by WebCite at http://www.webcitation.org/6wplEeg8i).
基于技术的活动追踪器在促进行为改变方面的使用迅速增加。然而，对于个体如何在日常生活中使用这些追踪器，以及追踪器的使用与增加身体活动之间的关系，我们知之甚少。
本研究旨在利用在一项身体活动干预中通过Fitbit追踪器收集的分钟级数据，来检验Fitbit的使用模式和活动情况，以及它们与基于ActiGraph测量的中度至剧烈身体活动（MVPA）的干预成功率之间的关系。
参与者包括42名随机分配至一项为期12周的随机对照试验身体活动干预组的女性乳腺癌幸存者。在为期12周的干预期间，参与者每天佩戴Fitbit One。在基线期（随机分组前）和干预结束时（第12周），参与者佩戴ActiGraph GT3X+加速度计7天。在第12周收集参与者自我报告的查看Fitbit追踪器及应用程序或网站上活动数据的频率。
佩戴Fitbit的依从性高且稳定，在12周内有效天数的平均比例为88.13%（标准差14.49%）。更高的Fitbit佩戴依从性与ActiGraph测量的MVPA的更大增加相关（b = 0.35，P <.001）。参与者在Fitbit上平均每周有182.6分钟（标准差143.9）的MVPA，在12周内MVPA有显著变化（F = 1.91，P =.04）。大多数（68%，27/40）参与者报告每天查看追踪器或Fitbit应用程序或网站一次或更多次。ActiGraph测量的MVPA变化与查看追踪器上个人数据的频率相关（b = -1.36，P =.07），但与查看应用程序或网站上个人数据的频率无显著关联（P =.36）。
这是首批探索市售活动追踪器的使用与身体活动干预成功率之间关系的研究之一。更深入地了解个体如何与基于技术的追踪器互动，可能使我们能够更有效地利用这类追踪器来促进行为改变。
ClinicalTrials.gov NCT02332876；https://clinicaltrials.gov/ct2/show/NCT02332876?term=NCT02332876&rank=1（由WebCite存档于http://www.webcitation.org/6wplEeg8i）
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