VTT Technical Research Centre of Finland Ltd, Tampere, Finland.
Biomathematics and Statistics Scotland, Edinburgh, United Kingdom.
J Med Internet Res. 2022 Apr 14;24(4):e35614. doi: 10.2196/35614.
The use of digital interventions can be accurately monitored via log files. However, monitoring engagement with intervention goals or enactment of the actual behaviors targeted by the intervention is more difficult and is usually evaluated based on pre-post measurements in a controlled trial.
The objective of this paper is to evaluate if engaging with 2 digital intervention modules focusing on (1) physical activity goals and action plans and (2) coping with barriers has immediate effects on the actual physical activity behavior.
The NoHoW Toolkit (TK), a digital intervention developed to support long-term weight loss maintenance, was evaluated in a 2 x 2 factorial randomized controlled trial. The TK contained various modules based on behavioral self-regulation and motivation theories, as well as contextual emotion regulation approaches, and involved continuous tracking of weight and physical activity through connected commercial devices (Fitbit Aria and Charge 2). Of the 4 trial arms, 2 had access to 2 modules directly targeting physical activity: a module for goal setting and action planning (Goal) and a module for identifying barriers and coping planning (Barriers). Module visits and completion were determined based on TK log files and time spent in the module web page. Seven physical activity metrics (steps; activity; energy expenditure; fairly active, very active and total active minutes; and distance) were compared before and after visiting and completing the modules to examine whether the modules had immediate or sustained effects on physical activity. Immediate effect was determined based on 7-day windows before and after the visit, and sustained effects were evaluated for 1 to 8 weeks after module completion.
Out of the 811 participants, 498 (61.4%) visited the Goal module and 406 (50.1%) visited the Barriers module. The Barriers module had an immediate effect on very active and total active minutes (very active minutes: before median 24.2, IQR 10.4-43.0 vs after median 24.9, IQR 10.0-46.3; P=.047; total active minutes: before median 45.1, IQR 22.9-74.9 vs after median 46.9, IQR 22.4-78.4; P=.03). The differences were larger when only completed Barriers modules were considered. The Barriers module completion was also associated with sustained effects in fairly active and total active minutes for most of the 8 weeks following module completion and for 3 weeks in very active minutes.
The Barriers module had small, significant, immediate, and sustained effects on active minutes measured by a wrist-worn activity tracker. Future interventions should pay attention to assessing barriers and planning coping mechanisms to overcome them.
ISRCTN Registry ISRCTN88405328; https://www.isrctn.com/ISRCTN88405328.
数字干预措施可以通过日志文件进行准确监控。然而,监测干预目标的参与度或干预措施针对的实际行为的实施情况更加困难,通常是在对照试验中基于前后测量进行评估。
本文旨在评估参与两个专注于(1)身体活动目标和行动计划,(2)应对障碍的数字干预模块是否对实际身体活动行为有直接影响。
使用 NoHoW 工具包(TK),一种旨在支持长期减肥维持的数字干预措施,在 2 x 2 析因随机对照试验中进行了评估。TK 包含基于行为自我调节和动机理论的各种模块,以及基于情境情绪调节方法的模块,并通过连接的商业设备(Fitbit Aria 和 Charge 2)连续跟踪体重和身体活动。在 4 个试验臂中,有 2 个可以直接访问 2 个针对身体活动的模块:一个用于设定目标和行动计划的模块(目标),以及一个用于识别障碍和应对计划的模块(障碍)。模块访问和完成情况是基于 TK 日志文件和在模块网页上花费的时间确定的。在访问和完成模块前后的 7 天窗口中比较了 7 个身体活动指标(步数;活动;能量消耗;相当活跃、非常活跃和总活跃分钟;以及距离),以确定模块是否对身体活动有即时或持续的影响。即时效应基于访问前后的 7 天窗口确定,并且在模块完成后 1 到 8 周内评估持续效应。
在 811 名参与者中,有 498 名(61.4%)访问了目标模块,有 406 名(50.1%)访问了障碍模块。障碍模块对非常活跃和总活跃分钟有即时影响(非常活跃分钟:中位数前 24.2,IQR 10.4-43.0 与中位数后 24.9,IQR 10.0-46.3;P=.047;总活跃分钟:中位数前 45.1,IQR 22.9-74.9 与中位数后 46.9,IQR 22.4-78.4;P=.03)。当仅考虑完成的障碍模块时,差异更大。障碍模块的完成也与完成模块后大多数 8 周内相当活跃和总活跃分钟以及 3 周内非常活跃分钟的持续效应相关。
障碍模块对腕戴式活动追踪器测量的活跃分钟数有较小但显著的即时和持续影响。未来的干预措施应注意评估障碍并规划应对机制以克服障碍。
ISRCTN 注册 ISRCTN88405328;https://www.isrctn.com/ISRCTN88405328。