腕戴可穿戴设备中促进身体活动的行为改变技术:内容分析。

Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis.

机构信息

Integrative and Experimental Exercise Science, Department of Sport Science, Würzburg, Germany.

Department of Psychology I, University of Würzburg, Würzburg, Germany.

出版信息

JMIR Mhealth Uhealth. 2020 Nov 19;8(11):e20820. doi: 10.2196/20820.

Abstract

BACKGROUND

Decreasing levels of physical activity (PA) increase the incidences of noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to increase PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA.

OBJECTIVE

The aim of this study is to examine which behavior change techniques (BCTs) are incorporated in currently available commercial high-end wearables that target users' PA behavior.

METHODS

The BCTs incorporated in 5 different high-end wearables (Apple Watch Series 3, Garmin Vívoactive 3, Fitbit Versa, Xiaomi Amazfit Stratos 2, and Polar M600) were assessed by 2 researchers using the BCT Taxonomy version 1 (BCTTv1). Effectiveness of the incorporated BCTs in promoting PA behavior was assessed by a content analysis of the existing literature.

RESULTS

The most common BCTs were goal setting (behavior), action planning, review behavior goal(s), discrepancy between current behavior and goal, feedback on behavior, self-monitoring of behavior, and biofeedback. Fitbit Versa, Garmin Vívoactive 3, Apple Watch Series 3, Polar M600, and Xiaomi Amazfit Stratos 2 incorporated 17, 16, 12, 11, and 11 BCTs, respectively, which are proven to effectively promote PA.

CONCLUSIONS

Wearables employ different numbers and combinations of BCTs, which might impact their effectiveness in improving PA. To promote PA by employing wearables, we encourage researchers to develop a taxonomy specifically designed to assess BCTs incorporated in wearables. We also encourage manufacturers to customize BCTs based on the targeted populations.

摘要

背景

体力活动(PA)水平下降会增加非传染性疾病、肥胖和死亡率的发病率。为了应对这些发展,迫切需要旨在增加 PA 的干预措施。移动健康(mHealth)解决方案,如可穿戴传感器(可穿戴设备),可以帮助改善 PA。

目的

本研究旨在检查目前针对用户 PA 行为的商业高端可穿戴设备中包含哪些行为改变技术(BCT)。

方法

使用行为改变技术分类(BCTTv1),由两名研究人员评估 5 种不同高端可穿戴设备(Apple Watch Series 3、Garmin Vívoactive 3、Fitbit Versa、小米 Amazfit Stratos 2 和 Polar M600)中包含的 BCT。通过对现有文献的内容分析评估所包含 BCT 促进 PA 行为的有效性。

结果

最常见的 BCT 是目标设定(行为)、行动计划、审查行为目标、当前行为与目标之间的差异、行为反馈、行为自我监测和生物反馈。Fitbit Versa、Garmin Vívoactive 3、Apple Watch Series 3、Polar M600 和小米 Amazfit Stratos 2 分别包含 17、16、12、11 和 11 个 BCT,这些 BCT 已被证明可有效促进 PA。

结论

可穿戴设备采用不同数量和组合的 BCT,这可能会影响其改善 PA 的效果。为了通过使用可穿戴设备促进 PA,我们鼓励研究人员开发专门用于评估可穿戴设备中包含的 BCT 的分类法。我们还鼓励制造商根据目标人群定制 BCT。

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