Translating Accelerometer Readings into Physical Activity Measures in Knee OA
Translating Accelerometer Readings into Physical Activity Measures in Knee OA
批准号:
8055919
负责人:
DOROTHY D. DUNLOP
金额:
$19.74万
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 2013-03-31
关键词:
AddressAdultAffectAlgorithmsAncillary StudyAreaArthritisBehaviorBenchmarkingCardiovascular systemChronic DiseaseClinicalClinical DataClinical ResearchCommunitiesDataData SetDegenerative polyarthritisDiseaseDocumentationElderlyFundingGeneral PopulationGuidelinesHealthHeart DiseasesImageInvestmentsKneeKnee OsteoarthritisLeadLiteratureMeasuresMedicalMentorsMethodologyMonitorOutcomeParticipantPersonsPhysical activityPopulationProceduresProcessPublic HealthQuality of lifeReadingResearchResearch PersonnelRoleTimeTranslatingTrustWorkWritingbasecohortdisabilityepidemiology studyevidence basefollow-uphigh riskimprovedinterestprospectivetoolweapons
中文摘要
描述(由申请人提供):这项研究对RFA-AR-10-011关于正在进行的大型临床项目(R21)的辅助研究做出了回应,进行了一项时间敏感的研究,以提高大型临床研究--骨关节炎(OAI)体力活动队列的科学含量。膝骨性关节炎(OA)与心脏病并列为老年人中最致残的慢性病。体力活动为改善膝骨性关节炎患者的生活质量提供了一种有希望的方法,然而,关于体力活动在改善膝骨性关节炎患者健康方面的作用的循证研究落后于普通人群的研究。一个问题是缺乏将客观加速度计数据转换为体力活动测量的有效程序。这项研究的目的是通过向从加速度计监测获得的OAI公共数据集发布有效的客观体力活动测量来解决这一问题。目的1.开发和改进方法,在膝骨性关节炎人群中验证将加速度计数据转换为有效体力活动测量的算法。目标2.从OAI体力活动队列的加速度计记录中开发、制定、记录并向OAI公共数据集发布一套健壮的体力活动测量方法。这项研究的产品包括:“将加速度计数据转换为膝盖骨关节炎患者的有效体力活动行为估计的数据驱动方法的方法论工作”;“公众可获得用于膝盖骨关节炎验证的记录的加速计算法;公众可获得一套关于OAI体力活动队列的经过处理和验证的健壮客观体力活动测量方法”公开发布的体力活动测量的文档1)为普通用户编写,2)为技术用户编写。这项研究创建了一种数据驱动的方法,将加速度计数据转换为对膝盖骨关节炎疾病人群中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种基准方法,将加速度计数据转换为有意义的体力活动测量。此外,这项研究还将向OAI公共数据发布一组稳健的客观体力活动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,将创建具有客观测量的膝盖骨关节炎患者体力活动的最大可用数据集。综上所述,本研究的两个部分将加速膝骨性关节炎人群的循证体力活动研究。
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
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批准号:7907485
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项目类别:
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资助金额:$18.31万
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财政年份:--
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依托单位:
海外基金