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Windows of opportunity for daily physical activity

Air pollution is a serious concern to people who want to engage in physical activities to improve and maintain their health. However, air quality data collected at the nearest monitoring site may not be the best source of information because the data may be incomplete (e.g., some pollutants are not...

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Detalles Bibliográficos
Autor principal: Du, Marvin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510972/
https://www.ncbi.nlm.nih.gov/pubmed/32966318
http://dx.doi.org/10.1371/journal.pone.0238713
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author Du, Marvin
author_facet Du, Marvin
author_sort Du, Marvin
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description Air pollution is a serious concern to people who want to engage in physical activities to improve and maintain their health. However, air quality data collected at the nearest monitoring site may not be the best source of information because the data may be incomplete (e.g., some pollutants are not monitored) or not representative. This paper puts forward a method that uses air quality data from a large area to derive a diurnal profile of air quality variation for that area and identify the time window in which the air quality is typically the best during a day. If people exercise in that time window then they can minimize their exposure to air pollution. Three years’ worth of air quality data in five California counties were analyzed to identify the general pattern of diurnal variation of air quality. The analysis shows the pattern of air quality variation is very similar among those five counties which represent diverse geographical and meteorological conditions. The analysis further reveals that in California air quality is generally the best in early mornings; as such, people should exercise in the early morning if their daily schedule allows it. A similar analysis can be performed for other areas to help people choose the best time window to exercise.
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spelling pubmed-75109722020-10-01 Windows of opportunity for daily physical activity Du, Marvin PLoS One Research Article Air pollution is a serious concern to people who want to engage in physical activities to improve and maintain their health. However, air quality data collected at the nearest monitoring site may not be the best source of information because the data may be incomplete (e.g., some pollutants are not monitored) or not representative. This paper puts forward a method that uses air quality data from a large area to derive a diurnal profile of air quality variation for that area and identify the time window in which the air quality is typically the best during a day. If people exercise in that time window then they can minimize their exposure to air pollution. Three years’ worth of air quality data in five California counties were analyzed to identify the general pattern of diurnal variation of air quality. The analysis shows the pattern of air quality variation is very similar among those five counties which represent diverse geographical and meteorological conditions. The analysis further reveals that in California air quality is generally the best in early mornings; as such, people should exercise in the early morning if their daily schedule allows it. A similar analysis can be performed for other areas to help people choose the best time window to exercise. Public Library of Science 2020-09-23 /pmc/articles/PMC7510972/ /pubmed/32966318 http://dx.doi.org/10.1371/journal.pone.0238713 Text en © 2020 Marvin Du http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Du, Marvin
Windows of opportunity for daily physical activity
title Windows of opportunity for daily physical activity
title_full Windows of opportunity for daily physical activity
title_fullStr Windows of opportunity for daily physical activity
title_full_unstemmed Windows of opportunity for daily physical activity
title_short Windows of opportunity for daily physical activity
title_sort windows of opportunity for daily physical activity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510972/
https://www.ncbi.nlm.nih.gov/pubmed/32966318
http://dx.doi.org/10.1371/journal.pone.0238713
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