优化针对年轻成人癌症幸存者的移动医疗体育锻炼促进干预措施:Opt2Move 全因子试验的设计与方法。

Global advances in integrative medicine and health Pub Date : 2024-08-13 eCollection Date: 2024-01-01 DOI:10.1177/27536130241265669
Jean Miki Reading, Payton Solk, Julia Starikovsky, Kristina Hasanaj, Shirlene D Wang, Juned Siddique, Stacy D Sanford, John Salsman, Bruriah Horowitz, Hannah Freeman, Jacqueline Alexander, Christina Sauer, Bonnie Spring, David Victorson, Siobhan M Phillips
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引用次数: 0

摘要

背景:Opt2Move是一项理论指导下的中度和剧烈运动(MVPA)推广试验,它采用多阶段优化策略(MOST)方法,在年轻的成年癌症幸存者(YACS;N = 304)中进行全因子实验,评估四项干预措施的单独效果和综合效果。所有参与者都将接受移动保健 MVPA 核心干预,其中包括 Fitbit 和标准自我监测 Opt2Move 智能手机应用。YACS 将被随机分配到 16 个条件之一,接受零到四个附加组件,每个组件有两个级别(是与否):目标:主要目的是确定干预后(12 周)和 24 周随访时,各组成部分对 MVPA 的单独和综合影响。次要目的是研究 MVPA 的变化与患者报告的结果、轻强度活动、久坐时间以及睡眠时间和质量之间的关系。此外,还将研究构成效应的潜在中介和调节因素:结果:结果将支持选择一揽子干预措施,这些措施经过优化,可最大限度地增加 MVPA,并将在随机对照试验中进行测试:Opt2Move 代表了利用 MOST 为 YACS 设计优化的、可扩展的移动健康 MVPA 干预方案的首次系统性努力,将有助于更好地了解如何有效改变 YACS 的 MVPA,并最终改善健康和疾病结果。
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Optimization of a mHealth Physical Activity Promotion Intervention With Mindful Awareness for Young Adult Cancer Survivors: Design and Methods of Opt2Move Full Factorial Trial.

Background: Opt2Move is a theory-guided moderate and vigorous physical activity (MVPA) promotion trial that uses multiphase optimization strategy (MOST) methodology to evaluate the individual and combined effects of four intervention components in a full factorial experiment among young adult cancer survivors (YACS; N = 304). All participants will receive the core mHealth MVPA intervention, which includes a Fitbit and standard self-monitoring Opt2Move smartphone application. YACS will be randomized to one of 16 conditions to receive between zero and four additional components each with two levels (yes v. no): E-Coach, buddy, general mindfulness, and MVPA-specific mindfulness.

Objective: The primary aim is to determine the individual and combined effects of the components on MVPA post-intervention (12-weeks) and at 24-week follow-up. The secondary aim is to examine how changes in MVPA are associated with patient-reported outcomes, light-intensity activity, sedentary time, and sleep duration and quality. Potential mediators and moderators of component effects will also be examined.

Results: Results will support the selection of a package of intervention components optimized to maximize MVPA to be tested in a randomized controlled trial.

Conclusion: Opt2Move represents the first systematic effort to use MOST to design an optimized, scalable mHealth MVPA intervention for YACS and will lead to an improved understanding of how to effectively change YACS' MVPA and ultimately, improve health and disease outcomes.

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