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Translating Accelerometer Readings into Physical Activity Measures in Knee OA

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:
7907485
负责人:
DOROTHY D. DUNLOP
金额:
$18.31万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-04-02 至 2012-03-31

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中文摘要
翻译
描述(由申请人提供):本研究响应RFA-AR-10-011关于大型正在进行的临床项目的辅助研究(R21),通过进行一项时间敏感的研究来增强大型临床研究骨关节炎(OAI)身体活动队列的科学内容。膝骨关节炎(OA)与心脏病并列,是老年人最致残的慢性疾病。体育活动为改善膝关节OA患者的生活质量提供了一种有希望的方法,然而,基于证据的体育活动在改善膝关节OA患者健康方面的作用的研究滞后于对一般人群的研究。一个问题是缺乏将客观加速度计数据转化为身体活动测量的有效程序。本研究的目的是通过向OAI公共数据集发布有效的客观身体活动测量数据来解决这一问题,这些数据集来自加速度计监测。目的1。开发和完善方法,以验证膝关节OA人群的算法,将加速度计数据转化为有效的身体活动测量。目标2。开发、制定、记录并向OAI公共数据集发布一套强有力的身体活动测量数据,这些数据来自OAI身体活动队列上的加速度计记录。该研究的成果包括:“数据驱动方法的方法学工作,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;“公众可以访问经膝关节炎验证的加速度计算法;“OAI体育活动队列中一组经过处理和验证的客观体育活动测量的公众访问”公开发布的体育活动测量的文件1)为普通用户编写,2)为技术用户编写。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。这项研究的结果将为整个骨关节炎研究界提供一个将加速度计数据转化为有意义的身体活动测量的基准方法。此外,本研究还将向OAI公共数据发布一套健全的客观体育活动数据。来自OAI体力活动队列的有效体力活动数据,加上OAI公共临床和影像学数据,将创建最大的可用数据集,客观地测量膝关节OA患者的体力活动。综上所述,本研究的两个部分将加速膝关节OA人群的循证体育活动研究。
英文摘要
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.
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Translating Accelerometer Readings into Physical Activity Measures in Knee OA
The Effect of Physical Activity on Disability Progression in Knee OA
Knee OA: Predictors and Outcomes of Physical Inactivity-Activity Transitions
The Effect of Physical Activity on Disability Progression in Knee OA
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