StandUpTV: Reducing sedentary screen time in adults

StandUpTV:减少成年人久坐的屏幕时间

基本信息

  • 批准号:
    10411415
  • 负责人:
  • 金额:
    $ 6.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

Project Summary Sedentary behaviors (i.e., sitting/lying with low energy expenditure while awake) increase risk for cancer, cardiovascular disease, and mortality, particularly among those who do not engage in recommended levels of moderate-vigorous physical activity (MVPA). Sedentary screen time (SST; i.e., television viewing and/or video streaming outside of work and educational pursuits) consumes more than half of available discretionary time and is the single most prevalent use of time for Americans outside of work and sleep. Efficacious strategies to reduce sedentary time in other contexts (i.e., workplace) have been developed by our team and others. SST poses far greater health risks than other sedentary pursuits, yet just two intervention studies have exclusively focused on reducing SST. Moreover, the amount and context in which SST is accrued has dramatically shifted since these studies were conducted. Adults (23-64 years of age) only spend half of their SST viewing a traditional television - the other half is spent on mobile streaming platforms (e.g., Netflix) that are likely to promote “binge-watching.” There is a need for innovative approaches to reduce SST among adults that are responsive to current and emerging technologies. We will leverage our existing theory-driven and empirically- based mHealth platform, which focuses on reducing total sedentary time in adults, to test StandUPTV, an app that will now specifically target SST. The core StandUPTV intervention will include passive and objective self- monitoring of SST and a behavioral target to reduce SST by 50%. Based on our preliminary data and prior research, we have identified three distinct behavioral components that we will add to StandUPTV: (1) electronically prohibiting SST after weekly 50% limit is reached; (2) adaptive text-messaging based on most recent SST bout; and (3) earning 30 min of additional SST with 10 min bout of MVPA. We will use a multiphase optimization strategy (MOST) to conduct a 16-week factorial experiment to identify which component(s) from the three components under consideration for inclusion in StandUPTV reduce SST by >60 min/day in adults (23-64 years of age) with overweight and obesity. We will also examine how light-intensity physical activity (LPA), MVPA, other factors (e.g., dietary intake), and markers of disease risk (e.g., body weight) change when SST is reduced. We will examine moderators (e.g., age, sex, race/ethnicity) and mediators of behavior change (i.e., social cognitive constructs). Innovative aspects of this proposal are the use of state-of-the-art mHealth design to design a highly-scalable intervention that is responsive to current trends in media use, the MOST framework to efficiently identify efficacious component(s), and leveraging reductions in SST as opportunities to increase LPA, MVPA, and related health behaviors. This study will directly lead to an optimized intervention – one that is most effective and efficient – to be tested in a longer-term RCT to determine the causal role of SST in lowering chronic disease risk. These findings will produce new targets for health promotion and impact US public health guidelines, which currently do not include explicit recommendations for lowering SST.
项目摘要 久坐行为(即,清醒时低能量消耗的坐/躺)增加患癌症的风险, 心血管疾病和死亡率,特别是在那些不从事推荐水平的人中, 中等强度体力活动(MVPA)。久坐屏幕时间(SST;即,电视观看和/或视频 工作和教育活动之外的流媒体)消耗了一半以上的可用自由支配时间 是美国人在工作和睡眠之外最普遍的时间使用方式。有效的策略, 减少在其他情况下的久坐时间(即,工作场所)由我们的团队和其他人开发。SST 比其他久坐不动的活动带来更大的健康风险,但只有两项干预研究专门 降低SST。此外,SST累积的数量和背景发生了巨大变化 自从这些研究进行以来。成年人(23-64岁)只花一半的SST观看一个 传统电视-另一半花费在移动的流平台上(例如,Netflix)可能会 提倡“狂看”有必要采取创新的方法来减少成人中的SST, 响应当前和新兴技术。我们将利用现有的理论驱动和经验- 基于移动健康平台,专注于减少成年人的总久坐时间,以测试StandUPTV,一个应用程序 现在专门针对SST。核心StandUPTV干预将包括被动和客观的自我, 监测SST和将SST降低50%的行为目标。根据我们的初步数据和先前的 研究,我们已经确定了三个不同的行为组成部分,我们将添加到StandUPTV:(1) 在达到每周50%的限制后,电子禁止SST;(2)基于大多数 最近的SST回合;(3)获得30分钟的额外SST和10分钟的MVPA回合。我们将使用多相 最优化策略(MOST)进行了16周的析因实验,以确定哪些组件 考虑纳入StandUPTV的三种组分使成人SST降低>60分钟/天 (23-64岁)超重和肥胖。我们还将研究光强度的体力活动 (LPA)、MVPA、其他因素(例如,饮食摄入),以及疾病风险的标志物(例如,体重)变化时, SST下降。我们将检查版主(例如,年龄、性别、种族/民族)和行为改变的中介因素 (i.e.,社会认知结构)。该提案的创新之处在于使用最先进的移动健康 设计一个高度可扩展的干预措施,对媒体使用的当前趋势作出反应, 有效识别有效成分的框架,并利用SST的减少作为机会, 增加LPA、MVPA和相关健康行为。这项研究将直接导致一个优化的干预- 一种最有效和高效的方法-在长期RCT中进行测试,以确定SST的因果作用 降低慢性病风险。这些发现将为健康促进和影响美国产生新的目标 公共卫生指南,目前不包括降低SST的明确建议。

项目成果

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Matthew P Buman其他文献

Matthew P Buman的其他文献

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{{ truncateString('Matthew P Buman', 18)}}的其他基金

Stand & Move at Work II: Effectiveness and Implementation
站立
  • 批准号:
    10524183
  • 财政年份:
    2020
  • 资助金额:
    $ 6.47万
  • 项目类别:
Stand & Move at Work II: Effectiveness and Implementation
站立
  • 批准号:
    10478887
  • 财政年份:
    2020
  • 资助金额:
    $ 6.47万
  • 项目类别:
Stand & Move at Work II: Effectiveness and Implementation
站立
  • 批准号:
    10737769
  • 财政年份:
    2020
  • 资助金额:
    $ 6.47万
  • 项目类别:
Stand & Move at Work II: Effectiveness and Implementation
站立
  • 批准号:
    10380350
  • 财政年份:
    2020
  • 资助金额:
    $ 6.47万
  • 项目类别:
StandUpTV: Reducing sedentary screen time in adults
StandUpTV:减少成年人久坐的屏幕时间
  • 批准号:
    10248479
  • 财政年份:
    2019
  • 资助金额:
    $ 6.47万
  • 项目类别:
StandUpTV: Reducing sedentary screen time in adults
StandUpTV:减少成年人久坐的屏幕时间
  • 批准号:
    10001461
  • 财政年份:
    2019
  • 资助金额:
    $ 6.47万
  • 项目类别:
StandUpTV: Reducing sedentary screen time in adults
StandUpTV:减少成年人久坐的屏幕时间
  • 批准号:
    10463909
  • 财政年份:
    2019
  • 资助金额:
    $ 6.47万
  • 项目类别:
SleepWell24: An Innovative Smartphone Application to Improve PAP Adherence
SleepWell24:一款创新的智能手机应用程序,可提高 PAP 依从性
  • 批准号:
    9181069
  • 财政年份:
    2016
  • 资助金额:
    $ 6.47万
  • 项目类别:
Smartphone-Based Diabetes Prevention in the VA: A Cluster-Randomized Trial
退伍军人管理局基于智能手机的糖尿病预防:整群随机试验
  • 批准号:
    9346671
  • 财政年份:
    2016
  • 资助金额:
    $ 6.47万
  • 项目类别:
SleepWell24: An Innovative Smartphone Application to Improve PAP Adherence
SleepWell24:一款创新的智能手机应用程序,可提高 PAP 依从性
  • 批准号:
    9331748
  • 财政年份:
    2016
  • 资助金额:
    $ 6.47万
  • 项目类别:

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