Cadmus-Bertram Lisa A, Marcus Bess H, Patterson Ruth E, Parker Barbara A, Morey Brittany L
Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin.
Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California.
Am J Prev Med. 2015 Sep;49(3):414-8. doi: 10.1016/j.amepre.2015.01.020. Epub 2015 Jun 10.
Direct-to-consumer mHealth devices are a potential asset to behavioral research but rarely tested as intervention tools. This trial examined the accelerometer-based Fitbit tracker and website as a low-touch physical activity intervention. The purpose of this study is to evaluate, within an RCT, the feasibility and preliminary efficacy of integrating the Fitbit tracker and website into a physical activity intervention for postmenopausal women.
Fifty-one inactive, postmenopausal women with BMI ≥25.0 were randomized to a 16-week web-based self-monitoring intervention (n=25) or comparison group (n=26). The Web-Based Tracking Group received a Fitbit, instructional session, and follow-up call at 4 weeks. The comparison group received a standard pedometer. All were asked to perform 150 minutes/week of moderate to vigorous physical activity (MVPA). Physical activity outcomes were measured by the ActiGraph GT3X+ accelerometer.
Data were collected and analyzed in 2013-2014. Participants were aged 60 (SD=7) years with BMI of 29.2 (3.5) kg/m(2). Relative to baseline, the Web-Based Tracking Group increased MVPA by 62 (108) minutes/week (p<0.01); 10-minute MVPA bouts by 38 (83) minutes/week (p=0.008); and steps by 789 (1,979) (p=0.01), compared to non-significant increases in the Pedometer Group (between-group p=0.11, 0.28, and 0.30, respectively). The Web-Based Tracking Group wore the tracker on 95% of intervention days; 96% reported liking the website and 100% liked the tracker.
The Fitbit was well accepted in this sample of women and associated with increased physical activity at 16 weeks. Leveraging direct-to-consumer mHealth technologies aligned with behavior change theories can strengthen physical activity interventions.
直接面向消费者的移动健康设备是行为研究的潜在资产,但很少作为干预工具进行测试。本试验将基于加速度计的Fitbit追踪器和网站作为一种低接触式身体活动干预措施进行了检验。本研究的目的是在一项随机对照试验中评估将Fitbit追踪器和网站整合到绝经后女性身体活动干预中的可行性和初步效果。
51名体重指数(BMI)≥25.0且不活跃的绝经后女性被随机分为16周的基于网络的自我监测干预组(n = 25)或对照组(n = 26)。基于网络的追踪组在第4周时收到一个Fitbit、一次指导课程和一次随访电话。对照组收到一个标准计步器。所有参与者都被要求每周进行150分钟的中等至剧烈身体活动(MVPA)。身体活动结果通过ActiGraph GT3X +加速度计进行测量。
数据于2013 - 2014年收集和分析。参与者年龄为60(标准差 = 7)岁,BMI为29.2(3.5)kg/m²。与基线相比,基于网络的追踪组每周的MVPA增加了62(108)分钟(p < 0.01);10分钟的MVPA时段每周增加了38(83)分钟(p = 0.008);步数增加了789(1979)步(p = 0.01),而计步器组的增加不显著(组间p值分别为0.11、0.28和0.30)。基于网络的追踪组在95%的干预日佩戴了追踪器;96%的人表示喜欢该网站,100%的人喜欢追踪器。
Fitbit在该女性样本中得到了很好的接受,并与16周时身体活动的增加相关。利用与行为改变理论相一致的直接面向消费者的移动健康技术可以加强身体活动干预。