Enhancing Sleep and Physical Activity Measurement in the HRS Family of Studies

加强 HRS 系列研究中的睡眠和身体活动测量

• 批准号: 9137610
• 负责人: Diane Sperling Lauderdale
• 金额: $ 39.15万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9137610
• 关键词: Accelerometer; Age; Agreement; Algorithms; Behavior; Categories; Cellular Phone; Cohort Studies; Computer software; Country; Data; Development; Devices; Dimensions; Elderly; Energy Metabolism; Exercise; Family Study; Gender; Gold; Health; Health behavior; Hour; Individual; Institutes; Israel; Knowledge; Label; Language; Link; Location; Manufacturer Name; Measurement; Measures; Moderate Exercise; Monitor; Motion; Movement; Nature; Participant; Pattern; Personal Satisfaction; Phase; Physical activity; Pilot Projects; Polysomnography; Protocols documentation; Psychometrics; Public Opinion; Recommendation; Reporting; Research; Research Personnel; Rest; Rural; Sampling; Series; Site; Sleep; Strenuous Exercise; Surveys; Systematic Bias; Testing; Thinking; Time; United States; Validation; Variant; Water; Work; Wrist; actigraphy; awake; base; cognitive testing; design; experience; instrument; meetings; novel; population based; programs; response; standard measure; suburb

 DESCRIPTION (provided by applicant): How we spend the 24-hour day - our activities while we are awake and the nature of sleep when we set out to rest - are linked to trajectories of health and wellbeing among older adults. However, there are big gaps in our knowledge about variation in sleep and physical activity within and between countries due to the complexity of measuring them. The HRS family of studies - like most general cohort studies - have measured physical activity and sleep with short sets of survey questions. Studies that have compared questions like these to objective measures find poor agreement, low correlations and systematic biases, all of which would undermine the utility of the data. To some extent the problems with survey questions are common across these two domains: they call on individuals to recall, categorize, and summarize complicated and variable behaviors that they do not ordinarily think about in quantitative terms. The number of objective ways to measure sleep and physical activity have increased in recent years, but the gold standards for each are lab-based, expensive and impractical in a national cohort study: doubly labeled water to measure energy expenditure and polysomnography to measure sleep. There have been rapid technologic advances in actigraphs, personal monitors that measure movement and use the pattern and intensity of movement to characterize sleep (when worn on the wrist) and physical activity (typically worn at the waist). Their practicality has been demonstrated in population-based studies using omnidirectional accelerometers. Newer devices include triaxial accelerometers, which record and report movements in three dimensions and are likely to be better for characterizing activity when awake. Actigraph data are downloaded and analyzed offline, but there is no standard for deriving metrics about physical activity and sleep from triaxial accelerometers. Manufacturers' algorithms are often opaque to the researcher and may be based on limited validation. There is a need for developing valid metrics from the rich data recorded without depending on manufacturer software. The overall aims of this project are (1) to develop a protocol and analytic programs to measure physical activity and sleep in the HRS family of studies using a single triaxial accelerometer worn at the wrist and (2) to identify a setof survey questions that will acceptably distinguish categories of sleep and physical activity when actigraphy is infeasible. Our aims will be accomplished through three overlapping phases of pilot studies, to be carried out in the U.S. and Israel (in Hebrew, Arabic, Russian) through the Cohen Institute for Public Opinion Research, a SHARE site. The pilots will (1) develop a bank of candidate questions and cognitively test questions in four languages, (2) compare data from omnidirectional and triaxial accelerometers concurrently worn at the wrist and waist to develop metrics for the triaxial wrist instrument, and (3) compare survey responses to candidate questions with metrics derived from 7 days of wearing a triaxial wrist actigraph, in a purposive sample of 500 older adults, collected in Israel and the U.S.

 描述（由申请人提供）：我们如何度过24小时的一天-我们清醒时的活动和我们开始休息时的睡眠性质-与老年人的健康和幸福轨迹有关。然而，由于测量的复杂性，我们对国家内部和国家之间睡眠和身体活动变化的了解存在很大差距。HRS系列研究与大多数一般队列研究一样，通过简短的调查问题来测量身体活动和睡眠。将这些问题与客观指标进行比较的研究发现，一致性差、相关性低和系统性偏差，所有这些都会破坏数据的实用性。在某种程度上，调查问题在这两个领域都很常见：它们要求个人回忆、分类和总结他们通常不会用定量的方式思考的复杂和可变的行为。近年来，测量睡眠和身体活动的客观方法数量有所增加，但在一项全国性队列研究中，每种方法的黄金标准都是基于实验室的，昂贵且不切实际：双标记水测量能量消耗和多导睡眠图测量睡眠。活动记录仪的技术进步很快，这是一种个人监测器，可以测量运动并使用运动的模式和强度来表征睡眠（戴在手腕上）和身体活动（通常戴在腰部）。它们的实用性已在使用全向加速度计的基于人群的研究中得到证明。较新的设备包括三轴加速度计，它记录和报告三维运动，可能更好地描述清醒时的活动。活动记录仪的数据是离线下载和分析的，但是从三轴加速度计中得出有关身体活动和睡眠的指标并没有标准。制造商的算法通常对研究人员不透明，并且可能基于有限的验证。需要从记录的丰富数据中开发有效的指标，而不依赖于制造商软件。该项目的总体目标是：（1）开发一个协议和分析程序，使用手腕上佩戴的单个三轴加速度计测量HRS系列研究中的身体活动和睡眠;（2）确定一组调查问题，当体动计不可行时，可以接受地区分睡眠和身体活动的类别。我们的目标将通过三个重叠阶段的试点研究来实现，这些研究将通过科恩民意研究所（一个SHARE网站）在美国和以色列（希伯来语，阿拉伯语，俄语）进行。飞行员将（1）开发四种语言的候选问题库和认知测试问题，（2）比较同时佩戴在手腕和腰部的全方位和三轴加速度计的数据，以制定三轴腕式仪器的指标，以及（3）将候选问题的调查响应与佩戴三轴腕动记录仪7天后得出的指标进行比较，在以色列和美国收集的500名老年人的有目的样本中，