Validation of Objective Measures of Place-Based Physical Activity

描述(由申请人提供)：我们建议对Palms(身体活动位置测量系统)进行现场测试和验证，这是我们在基因环境倡议(GEI)的支持下开发的行为测量工具。我们将在圣地亚哥县正在进行的一项在去教堂的拉丁裔中进行的R01研究中做到这一点。Palms使用同时佩戴的全球定位系统(GPS)设备和加速计的数据来确定基本连续的体力活动(PA)的位置、时间和类型。到这个拟议的项目开始时，我们将在一项由GEI机会基金资助的高度受控的研究中验证掌上电脑的处理算法。我们还处理了2000多名参与者(700名成人、800名青少年和500名儿童)的7天GPS和加速计数据，使我们能够从统计上证明除了加速计数据外还收集GPS数据的价值。然而，我们还没有在一项正在进行的队列(或预期)研究中评估Palms，因此没有关于工作人员或参与者在“现实世界”使用的负担的信息。我们在此提出的实地验证研究将是合乎逻辑的下一步，以确保研究人员和研究参与者都可以在典型的研究环境中使用Palms，并提供关于它打算衡量的内容的有效信息：身体活动的地理空间和时间特征。重要的是，我们选择与Elva Arredondo博士合作进行这项研究，PIan R01检查圣地亚哥拉美裔人的体力活动干预。阿雷东多博士是NHLBI资助的一项多地点前瞻性队列研究--拉美裔社区健康研究/拉美裔研究(HCHS/SOL)--的联合调查员，这是一项重要的全国性研究，其四个地点之一位于圣地亚哥(其他地点在迈阿密、纽约和芝加哥)。圣地亚哥HCHS/SOL的PI是Greg Talvera博士，他是我们提议的项目的拟议合作调查员。因此，该项目将有助于为HCHS/SOL调查人员将Palms纳入HCHS/SOL奠定基础。此外，像Arredondo博士的R01这样旨在改善PA环境并鼓励PA在最具支持性的环境中使用的地点干预措施，可以从更精确的PA时间和空间测量中受益匪浅。在这项研究中，我们将：a)通过对参与者和研究人员的两轮评估，展示Palm在社区R01试验中的可用性；b)证明Palm可以收集比目前的调查方法更精确和有效的关于体力活动(通过加速计)和位置-x-时间(通过GPS)的连续组合测量的数据；以及c)这些数据为研究人员提供了附加值，因为它们比当前的地理信息系统或基于调查的方法具有更强的预测位置-x-PA关系的能力。 公共卫生相关性：该项目将现场测试和验证一种新的行为测量工具，该工具将帮助暴露生物学研究人员更好地了解身体活动和环境之间的关系。Palms使用同时佩戴的全球定位系统(GPS)设备和加速计的数据来确定基本连续的体力活动(PA)的位置、时间和类型，收集和整合关于体力活动的数据。集成GPS和PA数据的科学是新的，但当与日益复杂的地理信息系统(GIS)相联系时，有可能加深我们对健康和环境之间关系的理解。

DESCRIPTION (provided by applicant): We propose to field test and validate PALMS (Physical Activity Location Measurement System), a behavioral measurement tool that we have developed with support from the Gene-Environment Initiative (GEI). We will do this in an ongoing R01 study among church going Latinas in San Diego County. PALMS uses data from concurrently worn Global Positioning System (GPS) devices and accelerometers to ascertain location, time and type of physical activity (PA) on an essentially continuous basis. By the time this proposed project begins we will have validated the processing algorithms in PALMS in a highly controlled study supported by a GEI Opportunity Fund Grant. We have also processed 7-day GPS and accelerometer data from over 2000 participants (700 adults; 800 adolescents; and 500 children) enabling us to statistically demonstrate the value of collecting GPS data in addition to accelerometer data. However, we have not yet assessed PALMS in an ongoing cohort (or prospective) study and thus have no information on staff or participant burden in "real world" use. The field based validation study we propose herein will be the logical next step to ensure that PALMS is feasible to use-by both research staff and research participants-in typical research settings, and that it provides valid information about what it is intended to measure: the geospatial and temporal characteristics of physical activity. Importantly, we have selected to perform this research in collaboration with Dr. Elva Arredondo, PI of an R01 examining a place based physical activity intervention among Latinos in San Diego. Dr. Arredondo is a Co-investigator on a multi-site NHLBI-funded prospective cohort study, the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a major national study with one of its four sites in San Diego (others are in Miami, New York and Chicago). The PI of the San Diego HCHS/SOL is Dr. Greg Talavera and he is a proposed co-investigator on the project we propose. Thus, this project will help set the stage for HCHS/SOL investigators to incorporate PALMS into the HCHS/SOL. In addition, place based interventions like Dr. Arredondo's R01, that are designed to improve PA environments and encourage PA in the most supportive environments, can greatly benefit from more precise measures of PA in time and space. In this study we will: a) Demonstrate the usability of PALMS in a community-based R01 trial through two rounds of assessment with participants and research staff; b) Demonstrate that PALMS can collect more precise and valid data on continuous combined measures of physical activity (via accelerometer) and location- x-time (via GPS) than current survey methods; and c) that these data provide added value to researchers as they have greater ability to predict location-x-PA relationships than current GIS or survey based methods. PUBLIC HEALTH RELEVANCE: This project will field test and validate a new behavioral measurement tool that will help exposure biology researchers better understand the relationships between physical activity and the environment. PALMS uses data from concurrently worn Global Positioning System (GPS) devices and accelerometers to ascertain location, time and type of physical activity (PA) on an essentially continuous basis, collect and integrate data on physical activity. The science of integrating GPS and PA data is new but, when linked to increasingly sophisticated Geographical Information Systems (GIS), has the potential to deepen our understanding of the relationships between health and the environment.