Evidence map›Paper›PMID 34430796›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2021

Association Between Accelerometer-Assessed Physical Activity and Severity of COVID-19 in UK Biobank.

Alex V Rowlands, Paddy C Dempsey, Clare Gillies, David E Kloecker, Cameron Razieh, Yogini Chudasama, Nazrul Islam, Francesco Zaccardi, Claire Lawson, Tom Norris and 3 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

13 authors.

Alex V RowlandsDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Paddy C DempseyDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Clare GilliesLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
David E KloeckerDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Cameron RaziehDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Yogini ChudasamaLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Nazrul IslamNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Francesco ZaccardiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Claire LawsonLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Tom NorrisLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Melanie J DaviesDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Kamlesh KhuntiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.
Tom YatesDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/V020536/1
6 · The paper itself

Abstract

objectiveTo quantify the association between accelerometer-assessed physical activity and coronavirus disease 2019 (COVID-19) outcomes.

methodsData from 82,253 UK Biobank participants with accelerometer data (measured 2013-2015), complete covariate data, and linked COVID-19 data from March 16, 2020, to March 16, 2021, were included. Two outcomes were investigated: severe COVID-19 (positive test result from in-hospital setting or COVID-19 as primary cause of death) and nonsevere COVID-19 (positive test result from community setting). Logistic regressions were used to assess associations with moderate to vigorous physical activity (MVPA), total activity, and intensity gradient. A higher intensity gradient indicates a higher proportion of vigorous activity.

resultsAverage MVPA was 48.1 (32.7) min/d. Physical activity was associated with lower odds of severe COVID-19 (adjusted odds ratio per standard deviation increase: MVPA, 0.75 [95% CI, 0.67 to 0.85]; total, 0.83 [0.74 to 0.92]; intensity, 0.77 [0.70 to 0.86]), with stronger associations in women (MVPA, 0.63 [0.52 to 0.77]; total, 0.76 [0.64 to 0.90]; intensity, 0.63 [0.53 to 0.74]) than in men (MVPA, 0.84 [0.73 to 0.97]; total, 0.88 [0.77 to 1.01]; intensity, 0.88 [0.77 to 1.00]). In contrast, when mutually adjusted, total activity was associated with higher odds of a nonsevere infection (1.10 [1.04 to 1.16]), whereas the intensity gradient was associated with lower odds (0.91 [0.86 to 0.97]).

conclusionOdds of severe COVID-19 were approximately 25% lower per standard deviation (∼30 min/d) MVPA. A greater proportion of vigorous activity was associated with lower odds of severe and nonsevere infections. The association between total activity and higher odds of a nonsevere infection may be through greater community engagement and thus more exposure to the virus. Results support calls for public health messaging highlighting the potential of MVPA for reducing the odds of severe COVID-19.

Indexed as

COVID-19, coronavirus disease 2019MVPA, moderate to vigorous physical activitySARS-CoV-2, severe acute respiratory syndrome coronavirus 2

Identifiers

PMID34430796
PMCPMC8376658

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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.