Efficacy of Precision Text Messaging to Increase Physical Activity in Insufficiently-Active Young Adults

精准短信对增加活动不足的年轻人身体活动的功效

• 批准号: 10508980
• 负责人: DAVID E. CONROY
• 金额: $ 72.45万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10508980
• 关键词: Accelerometer; Adult; Aerobic; Age; Algorithmic Analysis; Attenuated; Behavior; Behavior Therapy; Cardiovascular Diseases; Cellular Phone; Characteristics; Clinical Trials; Computational algorithm; Computer Models; Data; Data Science; Development; Devices; Dose; Education; Employment Status; Engineering; Ensure; Environment; Expert Opinion; Guidelines; Health; Heterogeneity; Individual; Intelligence; Intervention; Learning; Libraries; Link; Location; Maintenance; Measures; Meta-Analysis; Methods; Modeling; Monitor; National Heart, Lung, and Blood Institute; Participant; Persons; Physical activity; Precipitation; Prevention strategy; Primary Prevention; Protocols documentation; Randomized; Randomized Controlled Trials; Research; Series; Social Characteristics; System; Technology; Temperature; Text Messaging; Time; Update; Vision; Weather; Weight; Weight Gain; Weight maintenance regimen; Work; adaptive intervention; arm; base; biological sex; cardiometabolism; cardiovascular health; cardiovascular risk factor; clinical research site; cost; design; digital; digital intervention; effective intervention; efficacy evaluation; efficacy testing; food insecurity; frontier; indexing; innovation; intervention effect; meteorological data; mobile computing; novel; novel strategies; preference; preservation; prevent; primary outcome; rapid weight gain; recruit; response; simulation; social; systematic review; tool; treatment effect; treatment response; wearable device; weight gain prevention; young adult

PROJECT SUMMARY Physical activity and weight management are key components of ideal cardiovascular health but many young adults are insufficiently active and gaining weight rapidly (0.5-1.0 kg/year on average). Physical activity is a proven strategy for attenuating weight gain so there is a pressing need for effective interventions that reduce cardiovascular risk by motivating people to move more, sit less, and reduce weight gain. Mobile and wearable technologies are nearly ubiquitous among young adults and provide access to dense digital data about the person and their environment. This technology also provides a means of delivering interventions on a just-in- time basis so each person can receive the right intervention content at the right time. Inspired by the vision of precision behavioral interventions, we have applied system identification tools from control systems engineering to develop computational models and algorithms that optimize person-specific dosing of text messages to promote physical activity. In a series of preliminary studies, we (a) identified weather indices consistently linked with physical activity, (b) demonstrated the feasibility of long-term activity tracker wear and the acceptability of text messages among young adults, (c) enriched our computational model of physical activity using momentary weather data to characterize weather-graded responses to messages, and (d) designed a controller that uses person-specific parameters from the computational model and data on recent behavior and forecasted weather conditions to optimize the selection and timing of text message delivery. This controller is the basis for the Precision Adaptive Intervention Messaging (Precision AIM) intervention. In this application, we propose a single-site clinical trial to answer question, “Does Precision AIM increase insufficiently-active young adults’ physical activity and reduce weight gain more than randomly-assigned intervention messages (Random AIM) from the same message library or an activity tracker with no assigned intervention messages (No AIM)?” The specific aims of this project are (1) to evaluate the efficacy of Precision AIM compared to Random AIM and No AIM for increasing physical activity and reducing weight gain in insufficiently-active young adults, and (2) to identify characteristics of participants who respond more to Precision AIM than Random AIM or No AIM. We propose a three-arm randomized controlled trial to achieve these aims. Insufficiently-active young adults will receive a consumer activity tracker and be randomly assigned to one of three groups: Precision AIM, Random AIM, or No AIM. The intervention period will last for 12 months with a maintenance assessment at 18 months. The primary outcome is average daily step counts based on accumulating evidence that increasing this readily-interpretable and widely-available metric reduces cardiovascular risk in adulthood (assessed at baseline, 3, 6, 12, and 18 months). If successful, the underlying algorithmic analyses informed by dense data from wearable devices will provide a new and scalable approach for using consumer wearables in primordial and primary prevention of cardiovascular risk in young adults.

项目摘要 体育活动和体重管理是理想心血管健康的关键组成部分，但许多年轻人 成年人的活动不足，体重迅速（平均为0.5-1.0 kg/年）。体育锻炼是 证明了减轻体重增加的策略，因此需要有效的干预措施来减少 通过激励人们移动更多，坐得更少并减轻体重增加，心血管风险。移动和可穿戴 在年轻人中，技术几乎普遍存在，并提供有关密集的数字数据的访问 人与他们的环境。这项技术还提供了一种对即将到期的干预措施的方法 时间基础，因此每个人都可以在正确的时间收到正确的干预内容。受到启发 精确行为干预措施，我们已经应用了控制系统的系统标识工具 工程以开发计算模型和算法，以优化特定于人的文本剂量 消息以促进体育锻炼。在一系列初步研究中，我们（a）确定了天气指数 （b）始终与体育活动联系在一起，证明了长期活动跟踪器磨损和 年轻人中短信的可接受性，（c）丰富了我们的物理计算模型 使用瞬时天气数据进行活动来表征对消息的天气渐变响应，并且（d） 设计了一个控制器，该控制器使用计算模型中特定于人的参数以及最近的数据 行为和预测的天气条件，以优化文本消息传递的选择和时间。这 控制器是精确自适应干预消息（精度目标）干预的基础。在这个 应用，我们提出了一个单点临床试验来回答问题：“精确目标是否会增加 与随机分配的年轻人的体育锻炼不足，体重增加不足 来自同一消息库或没有分配的活动跟踪器的干预消息（随机目标） 干预消息（无目的）？”该项目的具体目的是（1）评估精度的效率 与随机目标相比，目的是增加体育锻炼和减轻体重增加的目标 不足的年轻人和（2）确定反应更多的参与者的特征 精确目标多于随机目标或无目的。我们提出了一项三臂随机对照试验以实现 这些目标。活跃的年轻人不足将获得消费者活动跟踪器并随机进行 分配给三个组之一：精确目标，随机目标或无目的。干预期将持续 在18个月时进行维护评估12个月。主要结果是平均每日步数计数 基于累积的证据表明，增加了这种易于解释的和广泛可用的度量 成年后的心血管风险（在基线，3、6、12和18个月进行评估）。如果成功，那么基础 通过可穿戴设备的密集数据告知的算法分析将提供一种新的可扩展方法 用于在年轻人中使用消费者可穿戴设备在原始和初级预防心血管风险中。