Sharing Digital Self-Monitoring Data with Others to Enhance Long-Term Weight Loss: A Randomized Trial using a Factorial Design

与他人共享数字自我监测数据以增强长期减肥效果：使用析因设计的随机试验

• 批准号: 10654635
• 负责人: Meghan Butryn
• 金额: $ 61.59万
• 依托单位: DREXEL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-20 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10654635
• 关键词: Accountability; Address; Adult; Behavior; Behavioral; Body Weight; Body Weight decreased; Body Weights and Measures; Calories; Data; Devices; Diet Records; Dietary intake; Eating; Eating Behavior; Enrollment; Family; Family member; Friends; Goals; Group Meetings; Health; Individual; Informal Social Control; Intake; Intervention; Judgment; Life Style Modification; Maintenance; Measures; Mediator; Monitor; Motivation; Obesity; Outcome; Overweight; Participant; Performance; Physical activity; Prediction of Response to Therapy; Randomized; Social support; Source; Telephone; Testing; Text Messaging; Time; Training; Treatment Efficacy; Videoconferencing; Weight; automated text message; behavior change; data sharing; design; digital; digital technology; digital tool; experience; improved; indexing; intervention effect; member; novel strategies; peer; primary outcome; programs; randomized trial; secondary outcome; sensor; smartphone application; social; tool; treatment effect; videoconference; wearable sensor technology; wireless

Abstract Adults attempting weight loss through lifestyle modification (LM) typically find maintenance of behavior change difficult. Outcomes might be improved if participants are provided with sustained sources of accountability and support and ongoing opportunities to reflect with others on goal progress. This study proposes that sharing digital data (i.e., body weight from wireless scale, physical activity from wearable sensor, and dietary intake from smartphone app) with other parties has the potential to improve long-term weight loss. The benefit of device data sharing has not yet been rigorously tested, and traditional LM programs do not yet incorporate digital data sharing in a systematic way. The proposed study will enroll adults (N = 320) with overweight/ obesity in a 24-month LM program and instruct them to use digital tools for self-monitoring of weight, physical activity, and eating on a daily basis. Groups will meet face-to-face weekly in months 1-3 to initiate weight loss. In months 4-24, intervention contact will be remote and will include the following: quarterly group meetings held via videoconference; brief phone calls with the coach held twice per quarter; and monthly text messages with the coach, with a small group of fellow group participants, and with a friend or family member outside of the program. A 2 x 2 x 2 factorial design will test the independent effects of three types of data sharing partnerships: Coach Share, Group Share, and Friend/Family Share. Half of the participants will receive Coach Share and half will not; half will receive Group Share and half will not; and half will receive Friend/Family Share and half will not. In Coach Share, the behavioral coach will view digital self-monitoring data throughout the program and will directly address data observations during intervention contacts. In Group Share, participants in a given LM group will view each other’s self-monitoring data in their small-group text messages. In Friend/Family Share, a friend or family member outside of the group will view the participant’s data via automated text message. Each party with whom data are shared will be trained to respond by eliciting reflection from the index participant on his/her goal progress, which is a key component of self-regulation, and supporting the participant’s motivation to meet program goals. Amount of intervention contact between the participant and each party (Coach, Group, Friend/Family) will be comparable across treatment conditions, isolating the effects of data sharing components. Outcomes will be measured at months 0, 6, 12, and 24. The study will determine if Coach Share, Group Share, and Friend/Family Share each improve long-term weight loss, PA, and calorie intake (i.e., outcomes will be compared for participants who are randomized to engage in that data sharing partnership, versus those who are not). The study also will examine if effects are additive when participants are assigned to engage in more than one type of data sharing partnership. Mediators and moderators of intervention effects will be examined. As digital technology makes data sharing increasingly feasible, it is critical to determine how to optimize these partnerships to improve long-term outcomes in LM.

抽象的 试图通过生活方式修改（LM）尝试减肥的成年人通常会发现行为改变 难的。如果为参与者提供持续的问责来源，并且 支持和持续的机会与他人反思目标进步。这项研究提出共享 数字数据（即，无线尺度的体重，可穿戴传感器的体育活动以及饮食摄入量 来自智能手机应用程序）与其他方有可能改善长期体重减轻。好处 设备数据共享尚未经过严格测试，传统的LM程序尚未合并 数字数据以系统的方式共享。拟议的研究将招募成年人（n = 320），超重/ 24个月的LM计划中的肥胖症，并指示他们使用数字工具来自我监控体重，身体 活动和每天进食。小组将在1-3个月每周面对面对面，以开始减肥。 在第4-24个月，干预联系将是遥远的，将包括以下内容：举行的季度小组会议 通过视频会议；每季度两次与教练进行简短的电话；和每月短信 教练与一小群小组参与者一起，以及与朋友或家人一起 程序。 2 x 2 x 2阶乘设计将测试三种类型的数据共享的独立效果 伙伴关系：教练分享，小组分享和朋友/家人分享。一半的参与者将接待教练 分享和一半不会；一半将获得小组份额，一半将不会；一半将收到朋友/家人分享 一半不会。在教练共享中，行为教练将在整个过程中查看数字自我监控数据 计划并将在干预联系期间直接解决数据观察结果。在小组分享中，参与者 在给定的LM组中，将在其小组文本消息中查看彼此的自我监控数据。在 朋友/家人分享，小组以外的朋友或家人将通过 自动短信。与共享数据共享数据的每个方将通过引起培训以做出回应 索引参与者对他/她的目标进步的反思，这是自我调节的关键组成部分，并且 支持参与者实现计划目标的动力。干预接触量 参与者和每个聚会（教练，团体，朋友/家人）将在治疗条件下相当 隔离数据共享组件的影响。结果将在0、6、12和24月进行测量。 研究将确定教练分享，小组共享和朋友/家人是否会改善长期体重 损失，PA和卡路里摄入量（即，将与随机参与的参与者进行比较 与没有的数据共享合作伙伴关系的数据共享合作伙伴关系。该研究还将检查效果是否是加性的 当参与者被分配到多种类型的数据共享伙伴关系时。调解人和 将检查干预效果的主持人。随着数字技术使数据共享越来越多 可行的是，确定如何优化这些伙伴关系以改善LM的长期结果至关重要。