Using Mobile Phones to Reduce Missing Data in Youth Activity Monitoring Studies

使用手机减少青少年活动监测研究中的缺失数据

• 批准号: 8244248
• 负责人: Genevieve Fridlund Dunton
• 金额: $ 24.99万
• 依托单位: NORTHEASTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-24 至 2014-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8244248
• 关键词: Adolescence; Adolescent; Affinity; Archives; Behavior; Car Phone; Cardiovascular system; Chronic Disease; Complement; Computer software; Computers; Cues; Data; Data Quality; Destinations; Devices; Electronics; Epidemiologic Studies; Equipment Malfunction; Event; Exercise; Goals; Health; Income; Intervention Studies; Left; Life; Location; Measurement; Measures; Memory; Metabolic; Methods; Monitor; Motion; Movement; Participant; Patient Self-Report; Performance; Physical activity; Positioning Attribute; Recruitment Activity; Relative (related person); Research Personnel; Risk; Risk Behaviors; Running; Sampling; Side; Solutions; Source Code; Study Subject; System; Techniques; Technology; Telephone; Testing; Time; Travel; Work; Youth; base; cost; data reduction; design; improved; novel; open source; programs; sedentary; sensor; surveillance study; tool; web services

DESCRIPTION (provided by applicant): Physical inactivity during adolescence increases risk for a number of serious health conditions. Surveillance, epidemiological, and intervention studies seeking to increase physical activity and/or decrease sedentary behaviors in adolescents could be enhanced through more informative and accurate methods of measuring these behaviors. Concerns about the validity of retrospective self report of physical activity and sedentary behavior have led to increasing use of objective measures, e.g., accelerometers and Global Positioning System (GPS) loggers, which can be complemented by subjective or contextual information using self-initiated event-contingent electronic ecological momentary assessment (EMA) after exercise or other critical activities. Regardless of the technique used, device non-wear, equipment malfunction, and participant non-response result in missing and ambiguous data that complicate statistical analysis. Adolescents recruited into objective PA monitoring studies will increasingly have so-called "smart phones," which are miniature computers with built in motion sensors and location-finding capabilities. Sophisticated programs (i.e., "apps") can be easily installed on the phones. The overall objective of this project is to develop new software for common mobile phones that can both reduce and explain missing data collected during objective and EMA activity monitoring studies with free living adolescents. This technology will supplement objective monitors already used today, with minimal additional cost. Our solution will have three novel components: (1) A phone "app" that uses the mobile device's built-in sensors to detect major transitions in type of movement or location, after which timely, context-sensitive questions and reminders are triggered that will reduce and explain missing or incomplete activity, location, and event- contingent EMA data, regardless of whether built-in or external objective monitors are used, (2) A second phone "app" that has an entertaining, game-like feel and allows adolescents to interactively "fill in gaps" in their own data at the end of the day using cues from automatically-detected major transitions to explain this missing data, and (3) Server-side software that will remotely collect data from the two apps in real-time and provide researchers with a cost-efficient way to reduce missing data and improve characterization of transition in activity. The system's feasibility, acceptability, and performance will be compared to the current state of the art in a within-subjects study with a free-living sample 40 low-to-middle income, ethnically diverse adolescents in 9-12th grade. The source code for all the software will be made freely available to other researchers. PUBLIC HEALTH RELEVANCE: The goal of this proposal is to provide a low-cost way to use common mobile phones to reduce and explain missing and ambiguous data collected in studies using objective monitors to measure physical activity and sedentary behavior in adolescents. By improving the quality of data collected, and minimizing amount of missing data, the proposed work will enable researchers to better measure and understand the relationship between physical activity, sedentary behaviors, and the risk of metabolic, cardiovascular and other chronic disease. .

描述（由申请人提供）：青春期缺乏身体活动会增加多种严重健康问题的风险。通过提供更多信息和更准确的测量这些行为的方法，可以加强旨在增加青少年体力活动和/或减少久坐行为的监测、流行病学和干预研究。对身体活动和久坐行为的回顾性自我报告的有效性的担忧导致越来越多地使用客观测量，例如加速度计和全球定位系统（GPS）记录器，这些测量可以通过运动或其他关键活动后使用自我启动的事件相关电子生态瞬时评估（EMA）来补充主观或情境信息。无论使用何种技术，设备不磨损、设备故障和参与者无响应都会导致数据丢失和模糊，从而使统计分析变得复杂。参与客观 PA 监测研究的青少年将越来越多地拥有所谓的“智能手机”，它们是内置运动传感器和定位功能的微型计算机。复杂的程序（即“应用程序”）可以轻松安装在手机上。该项目的总体目标是为普通手机开发新软件，该软件可以减少并解释在对自由生活青少年进行客观和 EMA 活动监测研究期间收集的缺失数据。该技术将以最小的额外成本补充目前已使用的客观监视器。我们的解决方案将包含三个新颖的组件：(1) 手机“应用程序”，使用移动设备的内置传感器来检测运动或位置类型的主要转变，然后触发及时的上下文敏感问题和提醒，以减少和解释丢失或不完整的活动、位置和事件相关的 EMA 数据，无论使用内置还是外部目标监视器，(2) 第二个手机“应用程序”，具有娱乐性、游戏般的感觉 并允许青少年在一天结束时使用自动检测到的主要转变的线索以交互方式“填补自己数据中的空白”，以解释这些缺失的数据，以及（3）服务器端软件，该软件将远程实时收集来自两个应用程序的数据，并为研究人员提供一种经济高效的方法来减少缺失数据并改善活动转变的表征。该系统的可行性、可接受性和性能将与一项受试者内部研究的当前最新技术进行比较，该研究以 40 名 9 至 12 年级的中低收入、不同种族的青少年为样本，自由生活。所有软件的源代码将免费提供给其他研究人员。 公共健康相关性：该提案的目标是提供一种低成本的方式，使用普通移动电话来减少和解释使用客观监测器测量青少年身体活动和久坐行为的研究中收集的缺失和模糊数据。通过提高收集的数据质量并最大程度地减少丢失数据的数量，拟议的工作将使研究人员能够更好地测量和理解体力活动、久坐行为与代谢、心血管和其他慢性疾病风险之间的关系。 。