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Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app
To reexamine the relationship between leisure-time physical activity (LTPA) and the built environment (BE), this paper takes advantage of the massive amount of data collected by an accelerometer and GPS-based fitness mobile app. Massive LTPA data from more than 3 million users were recorded by Codoo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719743/ https://www.ncbi.nlm.nih.gov/pubmed/34971553 http://dx.doi.org/10.1371/journal.pone.0260570 |
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author | Chen, Long Zhang, Zhaoxi Long, Ying |
author_facet | Chen, Long Zhang, Zhaoxi Long, Ying |
author_sort | Chen, Long |
collection | PubMed |
description | To reexamine the relationship between leisure-time physical activity (LTPA) and the built environment (BE), this paper takes advantage of the massive amount of data collected by an accelerometer and GPS-based fitness mobile app. Massive LTPA data from more than 3 million users were recorded by Codoon in 500m by 500m grid cells and aggregated to 742 natural cities in mainland China. Six BE indicators were quantified using GIS at the city scale. Robust regression analysis was used to estimate the correlation between LTPA and BE. Five of six BE indicators—connectivity, road density, land use mix, points of interest density, and density of parks and squares—were significantly, positively, independently, and linearly related to LTPA in the regression analysis. The study obtains findings that are consistent with the previous literature but also provides novel insights into the important role of POI density in encouraging LTPA, as well as how the relationship between LTPA and BE varies by time of day. The study also sheds light on the embrace of new technology and new data in public health and urban studies. |
format | Online Article Text |
id | pubmed-8719743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87197432022-01-01 Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app Chen, Long Zhang, Zhaoxi Long, Ying PLoS One Research Article To reexamine the relationship between leisure-time physical activity (LTPA) and the built environment (BE), this paper takes advantage of the massive amount of data collected by an accelerometer and GPS-based fitness mobile app. Massive LTPA data from more than 3 million users were recorded by Codoon in 500m by 500m grid cells and aggregated to 742 natural cities in mainland China. Six BE indicators were quantified using GIS at the city scale. Robust regression analysis was used to estimate the correlation between LTPA and BE. Five of six BE indicators—connectivity, road density, land use mix, points of interest density, and density of parks and squares—were significantly, positively, independently, and linearly related to LTPA in the regression analysis. The study obtains findings that are consistent with the previous literature but also provides novel insights into the important role of POI density in encouraging LTPA, as well as how the relationship between LTPA and BE varies by time of day. The study also sheds light on the embrace of new technology and new data in public health and urban studies. Public Library of Science 2021-12-31 /pmc/articles/PMC8719743/ /pubmed/34971553 http://dx.doi.org/10.1371/journal.pone.0260570 Text en © 2021 Chen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Long Zhang, Zhaoxi Long, Ying Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app |
title | Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app |
title_full | Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app |
title_fullStr | Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app |
title_full_unstemmed | Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app |
title_short | Association between leisure-time physical activity and the built environment in China: Empirical evidence from an accelerometer and GPS-based fitness app |
title_sort | association between leisure-time physical activity and the built environment in china: empirical evidence from an accelerometer and gps-based fitness app |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719743/ https://www.ncbi.nlm.nih.gov/pubmed/34971553 http://dx.doi.org/10.1371/journal.pone.0260570 |
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