Kaiser Permanente Washington Health Research Institute, Minor Ave, Suite, Seattle, WA, USA.
School of Information, University of Michigan, Ann Arbor, MI, USA.
Ann Behav Med. 2019 May 3;53(6):573-582. doi: 10.1093/abm/kay067.
HeartSteps is an mHealth intervention that encourages regular walking via activity suggestions tailored to the individuals' current context.
We conducted a micro-randomized trial (MRT) to evaluate the efficacy of HeartSteps' activity suggestions to optimize the intervention.
We conducted a 6-week MRT with 44 adults. Contextually tailored suggestions could be delivered up to five times per day at user-selected times. At each of these five times, for each participant on each day of the study, HeartSteps randomized whether to provide an activity suggestion, and, if so, whether to provide a walking or an antisedentary suggestion. We used a centered and weighted least squares method to analyze the effect of suggestions on the 30-min step count following suggestion randomization.
Averaging over study days and types of activity suggestions, delivering a suggestion versus no suggestion increased the 30-min step count by 14% (p = .06), 35 additional steps over the 253-step average. The effect was not evenly distributed in time. Providing any type of suggestion versus no suggestion initially increased the step count by 66% (167 steps; p < .01), but this effect diminished over time. Averaging over study days, delivering a walking suggestion versus no suggestion increased the average step count by 24% (59 steps; p = .02). This increase was greater at the start of study (107% or 271 additional steps; p < .01), but decreased over time. Antisedentary suggestions had no detectable effect on the 30-min step count.
Contextually tailored walking suggestions are a promising way of initiating bouts of walking throughout the day.
This study was registered on ClinicalTrials.gov number NCT03225521.
HeartSteps 是一种移动健康干预措施，通过针对个人当前环境量身定制的活动建议来鼓励定期散步。
我们进行了一项微型随机试验（MRT），以评估 HeartSteps 的活动建议的效果，从而优化干预措施。
我们对 44 名成年人进行了为期 6 周的 MRT。量身定制的建议可以在用户选择的时间每天最多发送五次。在研究的每一天的这五个时间点，对于每个参与者，HeartSteps 随机决定是否提供活动建议，如果提供，是提供步行建议还是防久坐建议。我们使用中心化和加权最小二乘法分析建议对建议随机化后 30 分钟步数的影响。
平均而言，在研究日和活动建议类型上，与不提供建议相比，提供建议使 30 分钟的步数增加了 14%（p=.06），即平均 253 步的基础上增加了 35 步。这种效果在时间上分布不均。与不提供建议相比，提供任何类型的建议最初使步数增加了 66%（167 步；p <.01），但随着时间的推移，这种效果逐渐减弱。平均而言，在研究日中，与不提供建议相比，提供步行建议使平均步数增加了 24%（59 步；p =.02）。这种增加在研究开始时更大（107%或 271 步；p <.01），但随着时间的推移而减少。防久坐建议对 30 分钟的步数没有明显影响。
量身定制的步行建议是一种有前途的全天开始散步的方法。
这项研究在 ClinicalTrials.gov 注册，编号为 NCT03225521。
