Evidence map›Paper›PMID 33731132›Full record

ArticleThe international journal of behavioral nutrition and physical activity2021

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, Minna Cheng, Borja Del Pozo Cruz, Tao Lin, Shuangyuan Sun, Li Zhang, Qinping Yang, Zhicong Ma, Jing Wang, Yingnan Jia and 1 more

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Changes in Physical Activity Patterns Due to the Covid-19 Pandemic: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
  3. Trial
  4. Does a walking intervention work equally in low and high walkable areas? A large-scale incentive program in Japan.The international journal of behavioral nutrition and physical activity · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Physical Activity and Neurocognitive Symptoms in Older Adults During COVID-19 Pandemic.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. COVID-19 pandemic and hypertension: an updated report from the Japanese Society of Hypertension project team on COVID-19.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  18. Article
  19. Article
  20. Quantifying the impact of pandemic lockdown policies on global port calls.Transportation research. Part A, Policy and practice · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ding Ding *Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia.
Minna Cheng *Shanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China.
Borja Del Pozo CruzCentre for Active and Healthy Ageing, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark.
Tao LinShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Shuangyuan SunShanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China.
Li ZhangShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Qinping YangShanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China.
Zhicong MaSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Jing WangShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Yingnan JiaSchool 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.ORCID 0000-0001-9211-4061
Yan ShiShanghai Municipal Center for Disease Control and Prevention, 1380 West Zhongshan Road, Shanghai, 200336, China. shiyan@scdc.sh.cn.

Funding

Heart Foundation Future Leader Fellowship #101234National Natural Science Foundation of China 72004027Shanghai Municipal Health Commission GWV-10.1-XK05Shanghai Municipal Health Commission GWV-7
6 · The paper itself

Abstract

backgroundCOVID-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.

methodsFrom 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.

resultsBased 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.

conclusionsDespite 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.

Indexed as

ExerciseFitness TrackersMobile ApplicationsSedentary BehaviorAdultChinaCommunicable Disease ControlCOVID-19Data CollectionFemaleHumansMaleMiddle AgedSARS-CoV-2Smartphone

Identifiers

PMID33731132
PMCPMC7968558

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.