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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.
Ding, Ding; Cheng, Minna; Del Pozo Cruz, Borja; Lin, Tao; Sun, Shuangyuan; Zhang, Li; Yang, Qinping; Ma, Zhicong; Wang, Jing; Jia, Yingnan; Shi, Yan.
  • Ding D; Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia.
  • Cheng M; Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia.
  • Del Pozo Cruz B; Shanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China.
  • Lin T; Centre for Active and Healthy Ageing, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark.
  • Sun S; Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
  • Zhang L; Shanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China.
  • Yang Q; Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
  • Ma Z; Shanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China.
  • Wang J; School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
  • Jia Y; Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
  • Shi Y; School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, 130 Dongan Road, Shanghai, 200032, China. jyn@fudan.edu.cn.
Int J Behav Nutr Phys Act ; 18(1): 40, 2021 03 17.
Article in English | MEDLINE | ID: covidwho-1140489
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Exercise / Data Collection / Sedentary Behavior / Mobile Applications / Fitness Trackers / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Int J Behav Nutr Phys Act Year: 2021 Document Type: Article Affiliation country: S12966-021-01106-x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Exercise / Data Collection / Sedentary Behavior / Mobile Applications / Fitness Trackers / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Int J Behav Nutr Phys Act Year: 2021 Document Type: Article Affiliation country: S12966-021-01106-x