Department of Family and Preventive Medicine, University of California San Diego, 92093-0811, USA.
Am J Prev Med. 2011 Nov;41(5):532-40. doi: 10.1016/j.amepre.2011.07.017.
The use of GPS devices in health research is increasingly popular. There are currently no best-practice guidelines for collecting, processing, and analyzing GPS data. The standardization of data collection and processing procedures will improve data quality, allow more-meaningful comparisons across studies and populations, and advance this field more rapidly. This paper aims to take researchers, who are considering using GPS devices in their research, through device-selection criteria, device settings, participant data collection, data cleaning, data processing, and integration of data into GIS. Recommendations are outlined for each stage of data collection and analysis and indicates challenges that should be considered. This paper highlights the benefits of collecting GPS data over traditional self-report or estimated exposure measures. Information presented here will allow researchers to make an informed decision about incorporating this readily available technology into their studies. This work reflects the state of the art in 2011.
GPS 设备在健康研究中的应用越来越普及。目前,还没有收集、处理和分析 GPS 数据的最佳实践指南。数据收集和处理程序的标准化将提高数据质量,允许在研究和人群之间进行更有意义的比较,并使该领域更快地发展。本文旨在为考虑在研究中使用 GPS 设备的研究人员提供指导,从设备选择标准、设备设置、参与者数据收集、数据清理、数据处理以及将数据集成到 GIS 中进行介绍。对数据收集和分析的每个阶段都提出了建议,并指出了应该考虑的挑战。本文强调了收集 GPS 数据相对于传统的自我报告或估计暴露测量的优势。本文提供的信息将使研究人员能够在将这项现成技术纳入其研究时做出明智的决策。这项工作反映了 2011 年的最新技术水平。