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The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities
BACKGROUND: Physical activity is an important factor in premature mortality reduction, non-communicable disease prevention, and well-being protection. Climate change will alter temperatures globally, with impacts already found on mortality and morbidity. While uncomfortable temperature is often perc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195465/ https://www.ncbi.nlm.nih.gov/pubmed/35701809 http://dx.doi.org/10.1186/s12966-022-01285-1 |
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author | Ho, Janice Y. Goggins, William B. Mo, Phoenix K. H. Chan, Emily Y. Y. |
author_facet | Ho, Janice Y. Goggins, William B. Mo, Phoenix K. H. Chan, Emily Y. Y. |
author_sort | Ho, Janice Y. |
collection | PubMed |
description | BACKGROUND: Physical activity is an important factor in premature mortality reduction, non-communicable disease prevention, and well-being protection. Climate change will alter temperatures globally, with impacts already found on mortality and morbidity. While uncomfortable temperature is often perceived as a barrier to physical activity, the actual impact of temperature on physical activity has been less well studied, particularly in China. This study examined the associations between temperature and objectively measured physical activity among adult populations in five major Chinese cities. METHODS: Aggregated anonymized step count data was obtained between December 2017-2018 for five major Chinese cities: Beijing, Shanghai, Chongqing, Shenzhen, and Hong Kong. The associations of temperature with daily aggregated mean step count were assessed using Generalized Additive Models (GAMs), adjusted for meteorological, air pollution, and time-related variables. RESULTS: Significant decreases in step counts during periods of high temperatures were found for cold or temperate climate cities (Beijing, Shanghai, and Chongqing), with maximum physical activity occurring between 16 and 19.3 °C. High temperatures were associated with decreases of 800-1500 daily steps compared to optimal temperatures. For cities in subtropical climates (Shenzhen and Hong Kong), non-significant declines were found with high temperatures. Overall, females and the elderly demonstrated lower optimal temperatures for physical activity and larger decreases of step count in warmer temperatures. CONCLUSIONS: As minor reductions in physical activity could consequentially affect health, an increased awareness of temperature’s impact on physical activity is necessary. City-wide adaptations and physical activity interventions should seek ways to sustain physical activity levels in the face of shifting temperatures from climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-022-01285-1. |
format | Online Article Text |
id | pubmed-9195465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91954652022-06-15 The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities Ho, Janice Y. Goggins, William B. Mo, Phoenix K. H. Chan, Emily Y. Y. Int J Behav Nutr Phys Act Research BACKGROUND: Physical activity is an important factor in premature mortality reduction, non-communicable disease prevention, and well-being protection. Climate change will alter temperatures globally, with impacts already found on mortality and morbidity. While uncomfortable temperature is often perceived as a barrier to physical activity, the actual impact of temperature on physical activity has been less well studied, particularly in China. This study examined the associations between temperature and objectively measured physical activity among adult populations in five major Chinese cities. METHODS: Aggregated anonymized step count data was obtained between December 2017-2018 for five major Chinese cities: Beijing, Shanghai, Chongqing, Shenzhen, and Hong Kong. The associations of temperature with daily aggregated mean step count were assessed using Generalized Additive Models (GAMs), adjusted for meteorological, air pollution, and time-related variables. RESULTS: Significant decreases in step counts during periods of high temperatures were found for cold or temperate climate cities (Beijing, Shanghai, and Chongqing), with maximum physical activity occurring between 16 and 19.3 °C. High temperatures were associated with decreases of 800-1500 daily steps compared to optimal temperatures. For cities in subtropical climates (Shenzhen and Hong Kong), non-significant declines were found with high temperatures. Overall, females and the elderly demonstrated lower optimal temperatures for physical activity and larger decreases of step count in warmer temperatures. CONCLUSIONS: As minor reductions in physical activity could consequentially affect health, an increased awareness of temperature’s impact on physical activity is necessary. City-wide adaptations and physical activity interventions should seek ways to sustain physical activity levels in the face of shifting temperatures from climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-022-01285-1. BioMed Central 2022-06-14 /pmc/articles/PMC9195465/ /pubmed/35701809 http://dx.doi.org/10.1186/s12966-022-01285-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ho, Janice Y. Goggins, William B. Mo, Phoenix K. H. Chan, Emily Y. Y. The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities |
title | The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities |
title_full | The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities |
title_fullStr | The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities |
title_full_unstemmed | The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities |
title_short | The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities |
title_sort | effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major chinese cities |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195465/ https://www.ncbi.nlm.nih.gov/pubmed/35701809 http://dx.doi.org/10.1186/s12966-022-01285-1 |
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