@Article{信息:doi 10.2196 / /移动医疗。5771，作者=“Donaire-Gonzalez, David和Valent, Ant{\ ' o}nia和de Nazelle, Audrey和Ambros, Albert和Carrasco-Turigas, Gl{\ ' o}ria和Seto, Edmund和Jerrett, Michael和Nieuwenhuijsen, Mark J”，标题=“移动电话技术对个人环境监测的好处”，期刊=“JMIR Mhealth Uhealth”，年=“2016”，月=“11”，日=“10”，卷=“4”，数=“4”，页=“e126”，关键词=“智能手机;手机;移动应用程序;动态监测;时空分析;自动数据处理;旅行;背景:在环境流行病学研究中，使用新颖的移动电话技术跟踪个体可以提供有关地理位置和身体活动的宝贵信息，这将提高我们对环境暴露的理解。目的:本研究的目的是评估市场上最便宜的手机之一的性能，以跟踪人们的旅行活动模式。 Methods: Adults living and working in Barcelona (72/162 bicycle commuters) carried simultaneously a mobile phone and a Global Positioning System (GPS) tracker and filled in a travel-activity diary (TAD) for 1 week (N=162). The CalFit app for mobile phones was used to log participants' geographical location and physical activity. The geographical location data were assigned to different microenvironments (home, work or school, in transit, others) with a newly developed spatiotemporal map-matching algorithm. The tracking performance of the mobile phones was compared with that of the GPS trackers using chi-square test and Kruskal-Wallis rank sum test. The minute agreement across all microenvironments between the TAD and the algorithm was compared using the Gwet agreement coefficient (AC1). Results: The mobile phone acquired locations for 905 (29.2{\%}) more trips reported in travel diaries than the GPS tracker (P<.001) and had a median accuracy of 25 m. Subjects spent on average 57.9{\%}, 19.9{\%}, 9.0{\%}, and 13.2{\%} of time at home, work, in transit, and other places, respectively, according to the TAD and 57.5{\%}, 18.8{\%}, 11.6{\%}, and 12.1{\%}, respectively, according to the map-matching algorithm. The overall minute agreement between both methods was high (AC1 .811, 95{\%} CI .810-.812). Conclusions: The use of mobile phones running the CalFit app provides better information on which microenvironments people spend their time in than previous approaches based only on GPS trackers. The improvements of mobile phone technology in microenvironment determination are because the mobile phones are faster at identifying first locations and capable of getting location in challenging environments thanks to the combination of assisted-GPS technology and network positioning systems. Moreover, collecting location information from mobile phones, which are already carried by individuals, allows monitoring more people with a cheaper and less burdensome method than deploying GPS trackers. ", issn="2291-5222", doi="10.2196/mhealth.5771", url="http://mhealth.www.mybigtv.com/2016/4/e126/", url="https://doi.org/10.2196/mhealth.5771", url="http://www.ncbi.nlm.nih.gov/pubmed/27833069" }