StandUPTV: Preparation and optimization phases of a mHealth intervention to reduce sedentary screen time in adults.
StandUPTV: Preparation and optimization phases of a mHealth intervention to reduce sedentary screen time in adults.
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StandUPTV：移动医疗干预的准备和优化阶段，以减少成年人久坐的屏幕时间。
DOI：
10.1016/j.cct.2023.107402
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发表时间：
2024
影响因子：
2.2
通讯作者：
中科院分区：
文献类型：
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作者：
Keadle,Sarah;Hasanaj,Kristina;Leonard-Corzo,Krista;Tolas,Alexander;Crosley-Lyons,Rachel;Pfisterer,Bjorn;Legato,Maria;Fernandez,Arlene;Lowell,Emily;Hollingshead,Kevin;Yu,Tsung-Yen;Phelan,Suzanne;Phillips,SiobhanM;Watson,Nicole;
娱乐性久坐屏幕时间（rSST）是成年人在工作、学习和睡眠之外最普遍的久坐行为，与健康状况不佳密切相关。standuptv是一项移动健康试验，该试验使用多阶段优化策略（MOST）框架来开发和评估三种基于理论的降低成人rSST策略的有效性。本文描述了在MOST框架下standuptv的准备和优化阶段。基于以往文献，我们确定了三个候选组件：(a) rSST电子锁定（lockout），它通过电子手段限制rSST；(b)自适应提示（TEXT），基于rSST行为提供自适应提示；(c)通过增加中等强度体力活动（MVPA）参与（EARN）来获得rSST。我们还描述了移动健康迭代设计过程和优化目标的选择。最后，我们描述了优化随机对照试验的方案，采用23因子实验设计。我们将招募240名年龄在23-64岁之间的人，他们每天进行10 - 30小时的rSST。所有参与者都将收到将rSST降低50%的目标，并被随机分配到代表所有组件和组件级别的8种组合之一：LOCKOUT（是与否）、TEXT（是与否）和EARN（是与否）。结果将支持干预包组件的选择，以满足优化目标并为参与者所接受。优化的干预措施将在未来的评估随机试验中进行测试，以检查rSST降低对成人健康结果的影响。
Recreational sedentary screen time (rSST) is the most prevalent sedentary behavior for adults outside of work, school, and sleep, and is strongly linked to poor health.StandUPTVis a mHealth trial that uses the Multiphase Optimization Strategy (MOST) framework to develop and evaluate the efficacy of three theory-based strategies for reducing rSST among adults. This paper describes the preparation and optimization phases ofStandUPTVwithin the MOST framework. We identified three candidate components based on previous literature: (a) rSST electronic lockout (LOCKOUT), which restricts rSST through electronic means; (b) adaptive prompts (TEXT), which provides adaptive prompts based on rSST behaviors; and (c) earning rSST through increased moderate-vigorous physical activity (MVPA) participation (EARN). We also describe the mHealth iterative design process and the selection of an optimization objective. Finally, we describe the protocol of the optimization randomized controlled trial using a 23 factorial experimental design. We will enroll 240 individuals aged 23–64 y who engage in >3 h/day of rSST. All participants will receive a target to reduce rSST by 50% and be randomized to one of 8 combinations representing all components and component levels: LOCKOUT (yes vs. no), TEXT (yes vs. no), and EARN (yes vs. no). Results will support the selection of the components for the intervention package that meet the optimization objective and are acceptable to participants. The optimized intervention will be tested in a future evaluation randomized trial to examine reductions in rSST on health outcomes among adults.