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dc.contributor.authorHirsch, Jana A.en_US
dc.contributor.authorJames, Peteren_US
dc.contributor.authorRobinson, Jamaica R. M.en_US
dc.contributor.authorEastman, Kyler M.en_US
dc.contributor.authorConley, Kevin D.en_US
dc.contributor.authorEvenson, Kelly R.en_US
dc.contributor.authorLaden, Francineen_US
dc.date.accessioned2014-04-11T14:11:02Z
dc.date.issued2014en_US
dc.identifier.citationHirsch, Jana A., Peter James, Jamaica R. M. Robinson, Kyler M. Eastman, Kevin D. Conley, Kelly R. Evenson, and Francine Laden. 2014. “Using MapMyFitness to Place Physical Activity into Neighborhood Context.” Frontiers in Public Health 2 (1): 19. doi:10.3389/fpubh.2014.00019. http://dx.doi.org/10.3389/fpubh.2014.00019.en
dc.identifier.issn2296-2565en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12064376
dc.description.abstractIt is difficult to obtain detailed information on the context of physical activity at large geographic scales, such as the entire United States, as well as over long periods of time, such as over years. MapMyFitness is a suite of interactive tools for individuals to track their workouts online or using global positioning system in their phones or other wireless trackers. This method article discusses the use of physical activity data tracked using MapMyFitness to examine patterns over space and time. An overview of MapMyFitness, including data tracked, user information, and geographic scope, is explored. We illustrate the utility of MapMyFitness data using tracked physical activity by users in Winston-Salem, NC, USA between 2006 and 2013. Types of physical activities tracked are described, as well as the percent of activities occurring in parks. Strengths of MapMyFitness data include objective data collection, low participant burden, extensive geographic scale, and longitudinal series. Limitations include generalizability, behavioral change as the result of technology use, and potential ethical considerations. MapMyFitness is a powerful tool to investigate patterns of physical activity across large geographic and temporal scales.en
dc.language.isoen_USen
dc.publisherFrontiers Media S.A.en
dc.relation.isversionofdoi:10.3389/fpubh.2014.00019en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949289/pdf/en
dash.licenseLAAen_US
dc.subjectMethods Articleen
dc.subjectphysical activityen
dc.subjectGPSen
dc.subjectquantified selfen
dc.subjectbig dataen
dc.subjectrecreationen
dc.subjectparksen
dc.subjectMapMyFitnessen
dc.subjectMapMyRunen
dc.titleUsing MapMyFitness to Place Physical Activity into Neighborhood Contexten
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalFrontiers in Public Healthen
dash.depositing.authorJames, Peteren_US
dc.date.available2014-04-11T14:11:02Z
dc.identifier.doi10.3389/fpubh.2014.00019*
dash.contributor.affiliatedJames, Peter
dash.contributor.affiliatedLaden, Francine
dc.identifier.orcid0000-0002-2813-2174


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