Palo Alto Research Center, Palo Alto, CA, United States.
JMIR Mhealth Uhealth. 2016 Jan 15;4(1):e4. doi: 10.2196/mhealth.4900.
Novel methods of promoting self-monitoring and social support are needed to ensure long-term maintenance of behavior change. In this paper, we directly investigate the effects of group support in an exercise and nutrition program delivered by an mHealth application called Fittle.
Our first specific study aim was to explore whether social support improved adherence in wellness programs. Our second specific study aim was to assess whether media types (ePaper vs mobile) were associated with different levels of compliance and adherence to wellness programs. The third aim was to assess whether the use of an mHealth application led to positive changes to participants' eating behavior, physical activity, and stress level, compared to traditional paper-based programs.
A 2 × 2 (eg, Media: Mobile vs ePaper × Group Type: Team vs Solo) factorial design feasibility study was conducted. A sample of 124 volunteers who were interested in improving eating behavior, increasing physical activity, or reducing stress participated in this study. The study duration was 8 weeks. All groups were self-directed with no ongoing human input from the research team.
Participants in ePaper conditions had higher attrition rates compared to participants in Mobile conditions, χ3(2)=9.96, P=.02 (N=124). Participants in Mobile conditions reported their compliance with a much higher frequency closer to the time of challenge activity completion (2-sample Kolmogorov-Smirnov test comparing distributions was highly significant-KS=0.33, P<.001 [N=63]). Participants in ePaper conditions had a much higher frequency of guessing while reporting as compared with those in Mobile conditions-χ1(2)=25.25, P<.001 (N=63). Together, these findings suggest that the mobile app allowed a more accurate method to report and track health behaviors over a longer period than traditional ePaper-based diaries or log books. There was a significant difference in the overall compliance score for Mobile-Solo (Mean [SD] 0.30 [0.39]) and Mobile-Team (Mean [SD] 0.49 [0.35]) conditions (t50.82=1.94, P=.05). This suggests that working in a team increased participants' overall compliance within Fittle. Survival analysis showed that participants assigned to Team conditions are 66% more likely to engage longer with mHealth app-based intervention than those assigned to the Solo condition. Overall, participants across all groups reported some positive changes in eating behavior, physical activity, and stress level; however, participants in the Mobile-Solo condition reported higher perceived stress levels at the end of the study.
The team-based Fittle app is an acceptable and feasible wellness behavior change intervention and a full randomized controlled trial to investigate the efficacy of such an intervention is warranted.
需要新的方法来促进自我监测和社会支持,以确保行为改变的长期维持。本文直接研究了通过称为 Fittle 的移动健康应用程序提供的锻炼和营养计划中的群体支持的效果。
我们的第一个具体研究目标是探讨社会支持是否会提高健康计划的依从性。我们的第二个具体研究目标是评估媒体类型(电子纸与移动)是否与健康计划的不同依从性和坚持程度相关。第三个目标是评估与传统纸质计划相比,使用移动健康应用程序是否会导致参与者的饮食行为、体育活动和压力水平发生积极变化。
进行了一项 2×2(例如,媒体:移动与电子纸×组类型:团队与单人)因子设计可行性研究。对 124 名有兴趣改善饮食行为、增加体育活动或减轻压力的志愿者进行了这项研究。研究持续 8 周。所有组都是自我导向的,研究团队没有持续的人员投入。
与移动条件相比,电子纸条件下的参与者退出率更高,χ3(2)=9.96,P=.02(N=124)。与电子纸条件相比,移动条件下的参与者报告其依从性的频率更高,更接近挑战活动完成的时间(2 样本 Kolmogorov-Smirnov 检验比较分布高度显著-KS=0.33,P<.001 [N=63])。与移动条件相比,电子纸条件下的参与者在报告时猜测的频率更高,χ1(2)=25.25,P<.001(N=63)。总的来说,这些发现表明,与传统的基于电子纸的日记或日志本相比,移动应用程序允许更准确地报告和跟踪健康行为,持续时间更长。移动-Solo(Mean [SD] 0.30 [0.39])和移动-Team(Mean [SD] 0.49 [0.35])条件之间的整体依从性评分存在显著差异(t50.82=1.94,P=.05)。这表明,在 Fittle 中以团队形式工作可以提高参与者的整体依从性。生存分析表明,被分配到团队条件的参与者比被分配到单人条件的参与者更有可能长期参与基于移动健康应用程序的干预。总的来说,所有组的参与者都报告了一些积极的饮食行为、体育活动和压力水平的变化;然而,移动-Solo 条件下的参与者在研究结束时报告了更高的感知压力水平。
基于团队的 Fittle 应用程序是一种可接受且可行的健康行为改变干预措施,值得进行全面的随机对照试验来研究这种干预措施的效果。