Translating Accelerometer Readings into Physical Activity Measures in Knee OA

将加速度计读数转化为膝关节 OA 的身体活动测量值

• 批准号: 8055919
• 负责人: DOROTHY D. DUNLOP
• 金额: $ 19.74万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-02 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8055919
• 关键词: Address; Adult; Affect; Algorithms; Ancillary Study; Area; Arthritis; Behavior; Benchmarking; Cardiovascular system; Chronic Disease; Clinical; Clinical Data; Clinical Research; Communities; Data; Data Set; Degenerative polyarthritis; Disease; Documentation; Elderly; Funding; General Population; Guidelines; Health; Heart Diseases; Image; Investments; Knee; Knee Osteoarthritis; Lead; Literature; Measures; Medical; Mentors; Methodology; Monitor; Outcome; Participant; Persons; Physical activity; Population; Procedures; Process; Public Health; Quality of life; Reading; Research; Research Personnel; Role; Time; Translating; Trust; Work; Writing; base; cohort; disability; epidemiology study; evidence base; follow-up; high risk; improved; interest; prospective; tool; weapons

DESCRIPTION (provided by applicant): This study responds to RFA-AR-10-011 on Ancillary Studies to Large Ongoing Clinical Projects (R21) by conducting a time-sensitive study to enhance the scientific content of a large clinical study, the Osteoarthritis (OAI) Physical Activity Cohort. Knee osteoarthritis (OA) ranks with cardiac disease as the most disabling chronic diseases in older adults. Physical activity offers a promising approach to improve the quality of life for persons with knee OA However, evidence based research on the role of physical activity in to improve the health of persons with knee OA lags behind research in the general population. One problem is the lack of validated procedures to translate objective accelerometer data into physical activity measures. This aims of this study address this issue by releasing valid objective physical activity measures to the OAI public data set obtained from accelerometer monitoring. Aim 1. Develop and refine methodology to verify an algorithm in a knee OA population to translate accelerometer data into valid physical activity measures. Aim 2. Develop, formulate, document, and release to the OAI public data set a robust set of physical activity measures from accelerometer recordings on the OAI Physical Activity Cohort. Products from this study include the following: "Methodology work on a data driven approach to convert accelerometer data into valid estimates of physical activity behavior in the knee OA disease population; "Public access to the documented accelerometer algorithm validated for knee OA; "Public access to a robust set of processed and validated objective physical activity measures on OAI physical activity cohort "Documentation of the publically released physical activity measures written 1) for the general user and 2) for the technical user. The study creates a data driven approach to convert accelerometer data into valid estimates of physical activity behavior in the knee OA disease population. The results of from this study will provide a benchmark approach to translate accelerometer data into meaningful measures of physical activity for the entire osteoarthritis research community. In addition, this study will also release a robust set of objective physical activity d to the OAI public data. Valid physical activity data from the OAI Physical Activity Cohort added to the OAI public clinical and imaging data will create the largest available data set with objectively measured physical activity on persons with knee OA. Taken together, the two parts of this study will accelerate evidence-based physical activity research in knee OA population.

描述（由申请方提供）：本研究通过进行一项时间敏感性研究来增强大型临床研究（骨关节炎（OAI）体力活动队列）的科学内容，从而响应RFA-AR-10-011关于大型正在进行的临床项目（R21）的辅助研究。膝关节骨关节炎（OA）与心脏病并列为老年人最致残的慢性疾病。身体活动为改善膝关节OA患者的生活质量提供了一种有前途的方法。然而，关于身体活动在改善膝关节OA患者健康方面的作用的循证研究落后于一般人群的研究。一个问题是缺乏有效的程序来将客观的加速度计数据转化为身体活动测量。本研究的目的是通过向OAI从加速计监测中获得的公共数据集发布有效的客观身体活动措施来解决这个问题。 目标1。开发和完善方法，以验证膝关节OA人群中的算法，将加速度计数据转换为有效的身体活动测量。目标二。开发、制定、记录并向OAI公共数据集发布一组来自OAI体力活动队列加速计记录的强大体力活动指标。本研究的产品包括以下内容：“将加速度计数据转换为膝关节OA疾病人群身体活动行为有效估计值的数据驱动方法的方法学工作“;公众可访问经膝关节OA验证的记录加速度计算法;“公众可以访问OAI体力活动队列中一套经过处理和验证的强大客观体力活动指标“1）为一般用户和2）为技术用户编写的临床发布的身体活动测量记录。该研究创建了一种数据驱动的方法，将加速度计数据转换为膝关节OA疾病人群身体活动行为的有效估计值。本研究的结果将提供一种基准方法，将加速度计数据转化为整个骨关节炎研究界有意义的身体活动测量值。此外，这项研究还将向OAI公共数据发布一组强大的客观身体活动d。将来自OAI体力活动队列的有效体力活动数据添加到OAI公共临床和成像数据中，将创建最大的可用数据集，其中客观测量了膝关节OA患者的体力活动。总而言之，本研究的两个部分将加速膝关节骨性关节炎人群的循证身体活动研究。