Evidence map›Paper›PMID 37252779›Full record

SynthesisJMIR public health and surveillance2023

The COVID-19 Pandemic and Daily Steps in the General Population: Meta-analysis of Observational Studies.

Ziying Wu, Yilun Wang, Yuqing Zhang, Kim L Bennell, Daniel K White, Liusong Shen, Wei Ren, Jie Wei, Chao Zeng, Guanghua Lei

Abstract readMeta-Analysis
In one paragraph

Synthesis in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
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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

10 authors.

Ziying Wu *Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-5127-5253
Yilun Wang *Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-9468-4110
Yuqing ZhangDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-7638-0888
Kim L BennellCentre for Health, Exercise and Sports Medicine, The University of Melbourne, Melbourne, Australia.ORCID 0000-0003-4982-5639
Daniel K WhiteDepartment of Physical Therapy, University of Delaware, Newark, DE, United States.ORCID 0000-0003-3792-4621
Liusong ShenDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.ORCID 0009-0009-0167-2419
Wei RenDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.ORCID 0009-0002-7171-0926
Jie WeiHealth Management Center, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-3510-8241
Chao ZengDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-4889-5731
Guanghua LeiDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-2987-138X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has the potential to accelerate another pandemic: physical inactivity. Daily steps, a proxy of physical activity, are closely related to health. Recent studies indicate that over 7000 steps per day is the critical physical activity standard for minimizing the risk of all-cause mortality. Moreover, the risk of cardiovascular events has been found to increase by 8% for every 2000 steps per day decrement.

objectiveTo quantify the impact of the COVID-19 pandemic on daily steps in the general adult population.

methodsThis study follows the guidelines of the MOOSE (Meta-analysis Of Observational Studies in Epidemiology) checklist. PubMed, EMBASE, and Web of Science were searched from inception to February 11, 2023. Eligible studies were observational studies reporting monitor-assessed daily steps before and during the confinement period of the COVID-19 pandemic in the general adult population. Two reviewers performed study selection and data extraction independently. The modified Newcastle-Ottawa Scale was used to assess the study quality. A random effects meta-analysis was conducted. The primary outcome of interest was the number of daily steps before (ie, January 2019 to February 2020) and during (ie, after January 2020) the confinement period of COVID-19. Publication bias was assessed with a funnel plot and further evaluated with the Egger test. Sensitivity analyses were performed by excluding studies with low methodological quality or small sample sizes to test the robustness of the findings. Other outcomes included subgroup analyses by geographic location and gender.

resultsA total of 20 studies (19,253 participants) were included. The proportion of studies with subjects with optimal daily steps (ie, ≥7000 steps/day) declined from 70% before the pandemic to 25% during the confinement period. The change in daily steps between the 2 periods ranged from -5771 to -683 across studies, and the pooled mean difference was -2012 (95% CI -2805 to -1218). The asymmetry in the funnel plot and Egger test results did not indicate any significant publication bias. Results remained stable in sensitivity analyses, suggesting that the observed differences were robust. Subgroup analyses revealed that the decline in daily steps clearly varied by region worldwide but that there was no apparent difference between men and women.

conclusionsOur findings indicate that daily steps declined substantially during the confinement period of the COVID-19 pandemic. The pandemic further exacerbated the ever-increasing prevalence of low levels of physical activity, emphasizing the necessity of adopting appropriate measures to reverse this trend. Further research is required to monitor the consequence of long-term physical inactivity.

trial registrationPROSPERO CRD42021291684; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=291684.

Indexed as

COVID-19ExerciseFemaleHumansObservational Studies as TopicPandemicsPrevalenceCOVID-19daily stepsmeta-analysisphysical activity

Identifiers

PMID37252779
PMCPMC10231625

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.