Evaluating and Applying Google Timeline Location Data for Built Environment and Physical Activity Research

评估和应用 Google 时间轴位置数据进行建筑环境和体育活动研究

• 批准号: 10215537
• 负责人: Ofer Amram
• 金额: $ 33.35万
• 依托单位: OREGON STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-17 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10215537
• 关键词: Accelerometer; Address; Air Pollution; Algorithms; Apple; Area; Cellular Phone; Characteristics; Chronic; Chronic Disease; Cities; Communities; Data; Data Collection; Data Set; Data Sources; Development; Enrollment; Ensure; Environmental Risk Factor; Epidemiology; Exploratory/Developmental Grant; Exposure to; Future; Goals; Green space; Health; Health behavior; Human; Individual; Link; Location; Logistics; Maps; Measures; Methodology; Methods; Monitor; Noise; Participant; Physical activity; Planet Earth; Population; Privacy; Recording of previous events; Registries; Research; Research Activity; Research Personnel; Retrospective cohort; Sampling; Secure; Source; Surveys; Time; TimeLine; Transportation Noise; Twin Multiple Birth; Washington; automated algorithm; base; built environment; cost; data exchange; data privacy; epidemiologic data; epidemiology study; fine particles; high risk; improved; indexing; novel; scale up; traffic-related air pollution; walkability

PROJECT SUMMARY Built environments directly influence health, for example through air pollution and noise exposures, and indirectly influence health through changing health-related behaviors, for which physical activity is a major contributor. Nearly all epidemiology studies examining the relationships between long-term built environment related exposures and health have relied solely on residential address. This has severe limitations related to exposure misclassification and bias from residential selection, and does not capture how individuals interact with the built environment. Some studies have conducted GPS monitoring, but these include small populations (<500 people) and short time-periods (one to four weeks) due to cost and logistical constraints. We have been evaluating Google Location History Timeline data (referred to as Google TimeLine, or GTL) as a viable source of long-term passive GPS time activity data for advancing built environment and health research. GTL data is collected from both android and apple smartphones (that have Google maps or other apps installed) for opt-in participants. To-date, no health study has attempted to leverage GTL for improving exposure assessment or epidemiological research. We will develop and evaluate methods to derive built environment exposures from GTL data, using approaches that protect the privacy of study participants and evaluate these methods within a subset of the Washington Twin Registry Study who have already participated in a two-week GPS and accelerometry study. We will also develop approaches to assess physical activity from GTL data, providing a completely novel and objective measure of physical activity levels. If we are successful in developing and evaluating methods to use GTL data for epidemiological research this will completely revolutionize how we study built environment influences on human health.

项目摘要 建筑环境直接影响健康，例如通过空气污染和噪音暴露， 通过改变与健康有关的行为间接影响健康，其中身体活动是主要的 贡献者。几乎所有的流行病学研究都是考察长期建筑环境与 相关的暴露和健康仅依赖于居住地址。这具有严重的局限性， 暴露错误分类和住宅选择的偏见，并没有捕捉到个人如何互动 与建筑环境的关系。一些研究进行了GPS监测，但其中包括小规模人群 由于费用和后勤方面的限制，培训人数（500人以下）和时间（1至4周）都很短。我们一直 评估Google位置历史时间轴数据（称为Google TimeLine或GTL）作为可行的来源 长期被动GPS时间活动数据，用于推进建筑环境和健康研究。GTL数据是 从安卓和苹果智能手机（安装了谷歌地图或其他应用程序）收集，以选择加入 参与者迄今为止，没有健康研究试图利用GTL来改善暴露评估， 流行病学研究。我们将开发和评估方法，以获得建筑环境暴露， GTL数据，使用保护研究参与者隐私的方法，并在一个 华盛顿双胞胎登记研究的一个子集，他们已经参加了为期两周的GPS， 加速度研究我们还将开发从GTL数据评估身体活动的方法， 全新的、客观的身体活动水平测量方法。如果我们成功地开发和 评估使用GTL数据进行流行病学研究的方法，这将彻底改变我们如何 研究建筑环境对人体健康的影响。