Supporting Behavior Change in Sedentary Adults via Real-time Multidimensional Physical Activity Feedback: Mixed Methods Randomized Controlled Trial.
Supporting Behavior Change in Sedentary Adults via Real-time Multidimensional Physical Activity Feedback: Mixed Methods Randomized Controlled Trial.
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DOI：
10.2196/26525
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发表时间：
2022-03-02
影响因子：
2.2
通讯作者：
Thompson D
中科院分区：
文献类型：
--
作者：
Western MJ;Standage M;Peacock OJ;Nightingale T;Thompson D
增加身体活动（PA）行为仍然是公共卫生的优先事项，可穿戴技术越来越多地用于支持行为改变的努力。使用可穿戴设备捕捉并提供全面的、视觉上有说服力的、多维度的反馈，并提供实时支持，可能是一种很有前途的方式，可以增加不活跃个体的PA。本研究旨在探讨使用基于网络的多维PA反馈与实时每日反馈相结合的6周自我监测干预是否支持成人PA的增加。采用为期6周的混合方法，双臂探索性随机对照试验，随访6周，将低至中度活动（PA水平[PAL] <2.0）的成年人（平均年龄51.3岁，SD 8.4岁，女性28/ 51,55%）随机分配到自我监测干预组（36/ 51,71%）或等候组（15/ 51,29%）。在随机化前6周和12周的基线上，对PA的多个健康管理维度（如PAL、每周中高强度PA、久坐时间和步数）、心理社会认知（如行为调节、障碍自我效能和习惯强度）和健康状况进行评估。采用协方差分析模型对均值差和ci进行探索性分析。在12周的评估后，干预参与者接受了采访，以探讨他们对该计划的看法。干预后，任何PA结果均无显著差异；然而，在12周时，观察到中等到较大的效应，PAL的平均差异为0.09 (95% CI 0.02-0.15；效应大小[Hedges g] 0.8)，每日中等强度PA为24 （95% CI 0-45; Hedges g=0.6）分钟，每周中等到剧烈强度PA为195 （95% CI 58-331; Hedges g=0.8）分钟，步数为1545 （95% CI 581-2553; Hedges g=0.7）。描述性分析表明，12周时PA的差异在女性和基线PA水平较低的参与者中更为明显。干预后，在自主动机、控制动机、感知能力和障碍自我效能感方面存在显著差异，后者在随访中持续存在。定性数据表明，干预对参与者的信息量很大，实时反馈元素在提供有形的日常行为支持方面特别有用。使用可穿戴追踪器捕捉和呈现复杂的多维PA反馈，并结合离散的实时支持，可能是促进行为变化的有用方法。有必要进一步研究优化非活动参与者使用可穿戴设备的方法，并通过稳健的研究设计测试这种方法的有效性。ClinicalTrials.gov NCT02432924;https://clinicaltrials.gov/ct2/show/NCT02432924
Increasing physical activity (PA) behavior remains a public health priority, and wearable technology is increasingly being used to support behavior change efforts. Using wearables to capture and provide comprehensive, visually persuasive, multidimensional feedback with real-time support may be a promising way of increasing PA in inactive individuals. This study aims to explore whether a 6-week self-monitoring intervention using composite web-based multidimensional PA feedback with real-time daily feedback supports increased PA in adults. A 6-week, mixed methods, 2-armed exploratory randomized controlled trial with 6-week follow-up was used, whereby low to moderately active (PA level [PAL] <2.0) adults (mean age 51.3 years, SD 8.4 years; women 28/51, 55%) were randomly assigned to receive the self-monitoring intervention (36/51, 71%) or waiting list control (15/51, 29%). Assessment of PA across multiple health-harnessing PA dimensions (eg, PAL, weekly moderate to vigorous intensity PA, sedentary time, and steps), psychosocial cognitions (eg, behavioral regulation, barrier self-efficacy, and habit strength), and health were made at the prerandomization baseline at 6 and 12 weeks. An exploratory analysis of the mean difference and CIs was conducted using the analysis of covariance model. After the 12-week assessment, intervention participants were interviewed to explore their views on the program. There were no notable differences in any PA outcome immediately after the intervention; however, at 12 weeks, moderate-to-large effects were observed with a mean difference in PAL of 0.09 (95% CI 0.02-0.15; effect size [Hedges g] 0.8), daily moderate-intensity PA of 24 (95% CI 0-45; Hedges g=0.6) minutes, weekly moderate-to-vigorous intensity PA of 195 (95% CI 58-331; Hedges g=0.8) minutes, and steps of 1545 (95% CI 581-2553; Hedges g=0.7). Descriptive analyses suggested that the differences in PA at 12 weeks were more pronounced in women and participants with lower baseline PA levels. Immediately after the intervention, there were favorable differences in autonomous motivation, controlled motivation, perceived competence for PA, and barrier self-efficacy, with the latter sustained at follow-up. Qualitative data implied that the intervention was highly informative for participants and that the real-time feedback element was particularly useful in providing tangible, day-to-day behavioral support. Using wearable trackers to capture and present sophisticated multidimensional PA feedback combined with discrete real-time support may be a useful way of facilitating changes in behavior. Further investigation into the ways of optimizing the use of wearables in inactive participants and testing the efficacy of this approach via a robust study design is warranted. ClinicalTrials.gov NCT02432924; https://clinicaltrials.gov/ct2/show/NCT02432924
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