Statistical methods for analyzing objectively measured physical activity.

用于分析客观测量的身体活动的统计方法。

• 批准号: 10531088
• 负责人: Chongzhi Di
• 金额: $ 46.87万
• 依托单位: FRED HUTCHINSON CANCER CENTER
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10531088
• 关键词: Accelerometer; Activity Cycles; Address; Advisory Committees; Affect; Aging; American; Ancillary Study; Area; Behavior; Cardiovascular Diseases; Categories; Clinical Research; Collaborations; Computer software; Data; Data Analyses; Development; Devices; Diabetes Mellitus; Dose; Epidemiology; Goals; Guidelines; Health; Health Benefit; Hour; Intervention; Lead; Length; Longitudinal Studies; Measurement; Measures; Methodology; Methods; Modeling; National Health and Nutrition Examination Survey; Nature; Outcome; Pattern; Physical activity; Population Surveillance; Principal Component Analysis; Reporting; Sleep; Statistical Methods; Time; Woman; Women' s Health; advanced analytics; analytical method; analytical tool; biobank; cardiovascular health; complex data; effective intervention; epidemiology study; feature extraction; flexibility; high dimensionality; improved; indexing; insight; lifestyle factors; light intensity; mortality; novel; older women; programs; response; sedentary; sedentary lifestyle; surveillance study; vigorous intensity; wearable device

Project Summary/Abstract This project aims to develop new analytic tools for understanding accumulation patterns of physical activity (PA), sedentary behavior (SB) and sleep in the 24-hour activity cycle and to flexibly model these patterns and health outcomes, such as cardiovascular diseases, and apply these methods in PA epidiological studies that collected objective measurements by accelerometry or wearable devices. In physical activity epidemiology, each inten- sity/behavior category has been investigated separately in association with health outcomes. However, this approach fails to account for the inter-relatedness and interactions among of these activities. In fact, the 2018 Physical Activity Guidelines Advisory Committee Scientific Report identified 24-hour cycle and dose-response PA/SB accumulation patterns among the most important and critical issues that clearly need future research for informing the next set of physical activity guidelines. Motivated by this critical need, we propose novel statistical methods to utilize the rich information collected by accelerometry in a few directions. First, we develop robust functional data analysis methods for flexibly modeling associations between accelerometry-measured PA trajectories and health outcomes. Second, we develop flexible functional data analysis methods for characterizing dose-response relationships between PA/SB accumulation patterns and health outcomes, using an interpretable functional principal component analysis approach. Third, we plan to develop nonparametric compositional data analysis (NCDA) methods for extracting patterns of the 24- hour activity cycle, extend the approach to longitudinal studies and to flexibly investigate associations between 24-hour activity compositional patterns and health. The proposed analytic tools are directly motivated by and will be immediately applied to ancillary studies of the Women's Health Initiative (WHI) that we are involved in, the Objective Physical Activity and Cardiovascular Health (OPACH) Study, WHI Strong and Healthy Trial (WHISH), the Sedentary Time and Aging (STAR) Program, the Women's Health Accelerometry Collaboration (WHAC), as well as the publicly available National Health and Nutrition Examination Survey (NHANES) and UK Biobank data.

项目摘要/摘要 该项目旨在开发新的分析工具，以了解体力活动(PA)的积累模式， 24小时活动周期中的久坐行为(SB)和睡眠，并对这些模式和健康进行fl建模 结果，如心血管疾病，并将这些方法应用于PA地方学研究，收集 通过加速度计或可穿戴设备进行客观测量。在体力活动流行病学中，每一种感染- 与健康结果相关的强度/行为类别已经单独进行了调查。不过，这个 这种方法没有考虑到这些活动之间的相互联系和相互作用。事实上，2018年 体力活动指南咨询委员会科学fic报告identified 24小时循环和剂量反应 PA/Sb累积模式显然是最重要和最关键的问题之一，显然需要进一步研究 告知下一套体力活动指南。 在这一迫切需求的推动下，我们提出了新的统计方法来利用由 几个方向的加速度计。首先，我们提出了健壮的功能数据分析方法，用于fl的灵活建模 加速度量仪测量的PA轨迹与健康结局之间的关联。其次，我们开发了fl可扩展 描述PA/Sb累积之间剂量-反应关系的函数数据分析方法 模式和健康结果，使用可解释的功能主成分分析方法。第三, 我们计划开发非参数成分数据分析(NCDA)方法来提取24- 小时活动周期，将方法扩展到纵向研究和fl实证研究之间的关联 24小时活动、成分模式和健康。 拟议的分析工具直接受到并将立即应用于以下辅助研究 我们参与的妇女健康倡议(WHI)、客观的体力活动和心血管 健康(OPACH)研究，WHI强而健康试验(WHISH)，久坐时间和衰老(STAR)计划， 妇女健康加速计量学合作(WHAC)，以及可公开获得的国家健康和 营养检查调查(NHANES)和英国生物库数据。