Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention
Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention
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DOI：
10.1089/tmj.2019.0034
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发表时间：
2019-05-07
影响因子：
4.7
通讯作者：
Maddison, Ralph
中科院分区：
文献类型：
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作者：
Direito, Artur;Tooley, Mark;Maddison, Ralph
背景：没有量身定做的静态目标可能会阻碍行为改变。我们研究了一种自适应概念验证智能手机交付干预的可行性和可接受性，方法是使用真实世界的运动数据捕获体力活动(PA)和久坐行为(SB)来通知行为变化内容交付。材料和方法：在新西兰奥克兰进行了一项为期8周的单组干预前后评估研究。拥有Android智能手机的17-69岁的参与者被招募并使用该应用程序(App)。评估使用数据、自我报告的可接受性以及PA和SB。每日重复测量PA和SB的结果通过随机效应混合模型进行分析。结果：69名受试者主要为女性(78%)，平均年龄34.5岁(18-61岁)。在这8周中，参与者平均有11.4天打开这款应用。随着时间的推移，使用量减少了；每天有20%的参与者打开这款应用。行为反馈(73%)、行为替代(71%)、行为与目标不一致(58%)和目标设定(54%)被参与者评为最有用的行为改变技巧。干预后，轻、中、高强度训练时间和总PA增加，而SB训练时间减少。结论：适应性概念验证APP被认为是可以接受的，初步支持其对PA和SB的积极影响。
Background: Nontailored and static goals may hinder behavior change. We investigated the feasibility and acceptability of an adaptive proof-of-concept smartphone-delivered intervention by using real-world movement data capture of physical activity (PA) and sedentary behavior (SB) to inform behavior change content delivery. Materials and Methods: A single-group 8-week study with pre- and post-intervention assessments was conducted in Auckland, New Zealand. Participants aged 17-69 years who owned an Android smartphone were recruited and used the application (app). Usage data, self-reported acceptability and PA and SB were assessed. Daily repeated measurement of PA and SB outcomes were analyzed through random-effects mixed models. Results: Participants (n = 69) were predominantly female (78%) with a mean age of 34.5 years (range 18-61). On average, participants opened the app on 11.4 days throughout the 8 weeks. Use decreased over time; 20% of participants opened the app every day. Feedback on behavior (73%), behavior substitution (71%), discrepancy between behavior and goal (58%) and goal setting (54%) were rated as the most useful behavior change techniques by participants. Time spent on light, moderate-to-vigorous intensity and total PA increased post-intervention, whereas time spent on SB decreased. Conclusions: The adaptive proof-of-concept app was considered acceptable, with preliminary support for its positive effects on PA and SB.