Ecological assessment of social network contacts in drinking contexts: Peer proximity detection using wearable sensors

饮酒环境中社交网络联系人的生态评估：使用可穿戴传感器进行同伴邻近检测

• 批准号: 10023246
• 负责人: NANCY P BARNETT
• 金额: $ 19.3万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-25 至 2023-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10023246
• 关键词: Address; Age; Alcohol abuse; Alcohol consumption; Attention; Behavior; Bluetooth; Cellular Phone; Characteristics; Code; Communities; Consent; Consumption; Data; Data Analyses; Data Reporting; Detection; Development; Devices; Ecological momentary assessment; Enrollment; Ensure; Environment; Environmental Risk Factor; Etiology; Evaluation; Event; Frequencies; Friends; Future; Goals; Heavy Drinking; High Prevalence; Individual; Influentials; Intervention; Interview; Investigation; Learning; Length; Maintenance; Measures; Method Acceptability; Methodology; Methods; Modification; Outcome; Participant; Patient Self-Report; Phase; Play; Positioning Attribute; Prevention strategy; Procedures; Process; Protocols documentation; Reporting; Research; Resolution; Risk; Role; Sampling; Signal Transduction; Social Environment; Social Facilitation; Social Network; Specificity; Surveys; Technology; Time; Youth; adaptive intervention; adverse outcome; alcohol involvement; alcohol risk; base; contextual factors; design; deter alcohol use; drinking; drinking behavior; experience; follow-up; hazardous drinking; heavy drinking young adult; high risk; improved; innovation; member; novel; outcome prediction; participant retention; peer; peer influence; public health relevance; response; sensor; smartphone Application; social; social factors; technology development; tool; underage drinking; usability; wearable sensor technology; young adult; young adult alcohol use

ABSTRACT Young adult drinking most frequently occurs in a social facilitation context, in groups and with close friends, and such situations are high risk for excessive alcohol use. Ecological momentary assessment (EMA) has been used to gather information about drinking episodes, but relying on participants to initiate reports under peer-intensive circumstances has limitations. A promising means to detect and characterize social drinking contexts is to use an unobtrusive sensor-based approach, a Bluetooth-based transmitter, in the context of an EMA protocol. In this application we propose to develop the optimal methods for using Bluetooth devices to detect contact between young adults in order to gather real-time information about high-risk social drinking situations. The project’s aims are to: (1) establish the feasibility and acceptability of an EMA protocol using Bluetooth-based detection of contacts among participants and their peers; (2) evaluate the Bluetooth technology with regard to functionality, as measured by user experience and app data, and reliability, as measured by the concordance between Bluetooth detection of social contact and participant self-report; and (3) evaluate the peer selection process with regard to the predictive utility of peer characteristics for interactions with alcohol involvement and to evaluate the moderating role of peer characteristics on the feasibility, acceptability, functionality, and reliability of the Bluetooth technology. Following a pilot phase with a small (N = 5) group of participants to adjust procedures and technologies, a community sample of 35 young adult drinkers (age 18-24) will complete a three-week EMA study. Participants first will complete a social network interview to assess characteristics of close peer relationships (quality, frequency of interaction, frequency of consuming alcohol with the peer). The participant will identify three peers who will be asked to carry a small ID-coded Bluetooth beacon or download an app (peers will not otherwise participate in the EMA phase). The EMA protocol will include signal-contingent prompts when the peer Bluetooth signal is detected, which will prompt a survey about the social context (including presence and drinking behavior of peers), as well as random prompts, drinking event-contingent surveys, and morning surveys. After the EMA phase, a follow-up interview administered to participants and peers will assess user experience (feasibility, acceptability of methods). Analyses will include enrollment, compliance, and retention of participants and peers, functionality of the Bluetooth approach with special attention to missing data, concordance between sensor and self-report data, and analysis of how different peer characteristics predict these outcomes. The primary objective of this innovative proposal is to obtain data on user experience and Bluetooth sensor usability to develop cutting-edge procedures, measures, and technology to support a larger investigation of drinking social context and provide a basis for the development and timing of just-in-time adaptive interventions that target youth alcohol use in the natural environment at a time when behavior is opportune for modification.

摘要 年轻人饮酒最常发生在社会促进的背景下，在群体和亲密的朋友， 并且这种情况是过量饮酒的高风险。生态瞬时评估（EMA）已 已经被用来收集有关饮酒事件的信息，但依赖于参与者根据 同伴密集的环境有其局限性。一种检测和描述社交饮酒的有前途的方法 上下文是使用一个不引人注目的基于传感器的方法，一个基于蓝牙的发射机，在一个 EMA方案。在本申请中，我们提出开发使用蓝牙设备的最佳方法， 检测年轻人之间的接触，以收集有关高风险社交饮酒的实时信息 situations.该项目的目标是：（1）建立EMA协议的可行性和可接受性， 基于蓝牙的参与者和他们的同伴之间的接触检测;（2）评估蓝牙 技术方面的功能，如衡量用户体验和应用程序数据，和可靠性， 通过社交接触的蓝牙检测与参与者自我报告之间的一致性来测量;以及 (3)评估同行选择过程中的同行特征的预测效用， 与酒精参与的相互作用，并评估同伴特征对 蓝牙技术的可行性、可接受性、功能性和可靠性。在试点阶段之后， 小组（N = 5）的参与者调整程序和技术，35个年轻的社区样本 成年饮酒者（18-24岁）将完成为期三周的EMA研究。参与者首先将完成一个社交 网络访谈，以评估亲密同伴关系的特征（质量，互动频率， 与同龄人饮酒的频率）。参与者将确定三名同行，要求他们 携带一个小型ID编码蓝牙信标或下载一个应用程序（否则对等方将不会参与EMA 阶段）。EMA协议将包括当检测到对等蓝牙信号时的信号偶然提示， 这也将促使对社会背景（包括同龄人的存在和饮酒行为）进行调查， 随机提示、饮酒事件相关调查和早晨调查。EMA阶段结束后， 对参与者和同行进行的访谈将评估用户体验（可行性、 方法）。分析将包括参与者和同行的入组、合规性和保留， 蓝牙方法特别关注缺失数据、传感器和自我报告之间一致性 数据，以及分析不同的同伴特征如何预测这些结果。这项工作的主要目的是 创新的建议是获得有关用户体验和蓝牙传感器可用性的数据， 程序、措施和技术，以支持对饮酒社会背景的更大调查，并提供一个 制定和定时针对青少年饮酒的及时适应性干预措施的基础 自然环境中的一个时间，当行为是适当的修改。