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How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China

BACKGROUND: COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. METHODS...

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Autores principales: Ding, Ding, Cheng, Minna, del Pozo Cruz, Borja, Lin, Tao, Sun, Shuangyuan, Zhang, Li, Yang, Qinping, Ma, Zhicong, Wang, Jing, Jia, Yingnan, Shi, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968558/
https://www.ncbi.nlm.nih.gov/pubmed/33731132
http://dx.doi.org/10.1186/s12966-021-01106-x
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author Ding, Ding
Cheng, Minna
del Pozo Cruz, Borja
Lin, Tao
Sun, Shuangyuan
Zhang, Li
Yang, Qinping
Ma, Zhicong
Wang, Jing
Jia, Yingnan
Shi, Yan
author_facet Ding, Ding
Cheng, Minna
del Pozo Cruz, Borja
Lin, Tao
Sun, Shuangyuan
Zhang, Li
Yang, Qinping
Ma, Zhicong
Wang, Jing
Jia, Yingnan
Shi, Yan
author_sort Ding, Ding
collection PubMed
description BACKGROUND: COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. METHODS: From December 2019 to July 2020, smartphone-based step counts were continuously collected in 815 Chinese adults residing in Shanghai over 202 days across three phases: before, during, and after the lockdown. Participant characteristics were reported, and height, weight and body composition measured before the lockdown. A ‘sharp’ regression discontinuity design with cluster robust standard errors was used to test the effect of the lockdown and reopening on daily steps and a linear mixed model was used to examine the characteristics associated with trajectories during the observed period. RESULTS: Based on 164,630 person-days of data, we found a sharp decline in daily step counts upon the lockdown (24/01/2020) by an average of 3796 (SE = 88) steps, followed by a significant trend of increase by 34 steps/day (SE = 2.5; p < .001) until the end of the lockdown (22/03/2020). This increasing trend continued into the reopening phase at a slower rate of 5 steps per day (SE = 2.3; p = 0.029). Those who were older, married, university educated, insufficiently active, had an ‘at risk’ body composition, and those in the control group, were slower at recovering step counts during the lockdown, and those who were older, married, without university education and with an ‘at risk’ body composition recovered step counts at a slower pace after the reopening. CONCLUSIONS: Despite later increases in step counts, COVID-19 lockdown led to a sustained period of reduced physical activity, which may have adverse health implications. Governments and health professionals around the world should continue to encourage and facilitate physical activity during the pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01106-x.
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spelling pubmed-79685582021-03-18 How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China Ding, Ding Cheng, Minna del Pozo Cruz, Borja Lin, Tao Sun, Shuangyuan Zhang, Li Yang, Qinping Ma, Zhicong Wang, Jing Jia, Yingnan Shi, Yan Int J Behav Nutr Phys Act Research BACKGROUND: COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. METHODS: From December 2019 to July 2020, smartphone-based step counts were continuously collected in 815 Chinese adults residing in Shanghai over 202 days across three phases: before, during, and after the lockdown. Participant characteristics were reported, and height, weight and body composition measured before the lockdown. A ‘sharp’ regression discontinuity design with cluster robust standard errors was used to test the effect of the lockdown and reopening on daily steps and a linear mixed model was used to examine the characteristics associated with trajectories during the observed period. RESULTS: Based on 164,630 person-days of data, we found a sharp decline in daily step counts upon the lockdown (24/01/2020) by an average of 3796 (SE = 88) steps, followed by a significant trend of increase by 34 steps/day (SE = 2.5; p < .001) until the end of the lockdown (22/03/2020). This increasing trend continued into the reopening phase at a slower rate of 5 steps per day (SE = 2.3; p = 0.029). Those who were older, married, university educated, insufficiently active, had an ‘at risk’ body composition, and those in the control group, were slower at recovering step counts during the lockdown, and those who were older, married, without university education and with an ‘at risk’ body composition recovered step counts at a slower pace after the reopening. CONCLUSIONS: Despite later increases in step counts, COVID-19 lockdown led to a sustained period of reduced physical activity, which may have adverse health implications. Governments and health professionals around the world should continue to encourage and facilitate physical activity during the pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-021-01106-x. BioMed Central 2021-03-17 /pmc/articles/PMC7968558/ /pubmed/33731132 http://dx.doi.org/10.1186/s12966-021-01106-x Text en © The Author(s) 2021 Open AccessThis 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, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://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
Ding, Ding
Cheng, Minna
del Pozo Cruz, Borja
Lin, Tao
Sun, Shuangyuan
Zhang, Li
Yang, Qinping
Ma, Zhicong
Wang, Jing
Jia, Yingnan
Shi, Yan
How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China
title How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China
title_full How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China
title_fullStr How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China
title_full_unstemmed How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China
title_short How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China
title_sort how covid-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from shanghai, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968558/
https://www.ncbi.nlm.nih.gov/pubmed/33731132
http://dx.doi.org/10.1186/s12966-021-01106-x
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