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Using MapMyFitness to Place Physical Activity into Neighborhood Context
It 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 us...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949289/ https://www.ncbi.nlm.nih.gov/pubmed/24653982 http://dx.doi.org/10.3389/fpubh.2014.00019 |
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author | Hirsch, Jana A. James, Peter Robinson, Jamaica R. M. Eastman, Kyler M. Conley, Kevin D. Evenson, Kelly R. Laden, Francine |
author_facet | Hirsch, Jana A. James, Peter Robinson, Jamaica R. M. Eastman, Kyler M. Conley, Kevin D. Evenson, Kelly R. Laden, Francine |
author_sort | Hirsch, Jana A. |
collection | PubMed |
description | It 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. |
format | Online Article Text |
id | pubmed-3949289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-39492892014-03-20 Using MapMyFitness to Place Physical Activity into Neighborhood Context Hirsch, Jana A. James, Peter Robinson, Jamaica R. M. Eastman, Kyler M. Conley, Kevin D. Evenson, Kelly R. Laden, Francine Front Public Health Public Health It 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. Frontiers Media S.A. 2014-03-11 /pmc/articles/PMC3949289/ /pubmed/24653982 http://dx.doi.org/10.3389/fpubh.2014.00019 Text en Copyright © 2014 Hirsch, James, Robinson, Eastman, Conley, Evenson and Laden. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Hirsch, Jana A. James, Peter Robinson, Jamaica R. M. Eastman, Kyler M. Conley, Kevin D. Evenson, Kelly R. Laden, Francine Using MapMyFitness to Place Physical Activity into Neighborhood Context |
title | Using MapMyFitness to Place Physical Activity into Neighborhood Context |
title_full | Using MapMyFitness to Place Physical Activity into Neighborhood Context |
title_fullStr | Using MapMyFitness to Place Physical Activity into Neighborhood Context |
title_full_unstemmed | Using MapMyFitness to Place Physical Activity into Neighborhood Context |
title_short | Using MapMyFitness to Place Physical Activity into Neighborhood Context |
title_sort | using mapmyfitness to place physical activity into neighborhood context |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3949289/ https://www.ncbi.nlm.nih.gov/pubmed/24653982 http://dx.doi.org/10.3389/fpubh.2014.00019 |
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