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Association between accelerometer-assessed physical activity and severity of COVID-19 in UK Biobank

Association between accelerometer-assessed physical activity and severity of COVID-19 in UK Biobank
Association between accelerometer-assessed physical activity and severity of COVID-19 in UK Biobank
Objective
To quantify the association between accelerometer-assessed physical activity and coronavirus disease 2019 (COVID-19) outcomes.

Methods
Data 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.

Results
Average 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]).

Conclusion
Odds 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.
997-1007
Rowlands, Alex V.
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Dempsey, Paddy C.
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Gillies, Clare
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Kloecker, David E.
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Razieh, Cameron
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Chudasama, Yogini
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Islam, Nazrul
e5345196-7479-438f-b4f6-c372d2135586
Zaccardi, Francesco
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Lawson, Claire
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Norris, Tom
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Davies, Melanie J.
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Khunti, Kamlesh
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Yates, Tom
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Rowlands, Alex V.
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Dempsey, Paddy C.
b0b68675-31ef-4a73-9d16-931eaee0357b
Gillies, Clare
fc26555a-79f4-4d0e-9a34-1dc4fbda4be9
Kloecker, David E.
e35d7e9d-1e70-4875-b7eb-090da081bf7f
Razieh, Cameron
1f2cef7c-20b4-4edc-9533-c34fed0bfc13
Chudasama, Yogini
8026abd3-900a-4b96-8d5f-2ef59496929e
Islam, Nazrul
e5345196-7479-438f-b4f6-c372d2135586
Zaccardi, Francesco
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Lawson, Claire
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Norris, Tom
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Davies, Melanie J.
f23a2532-1297-4ee3-93d1-8387ab98e151
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3
Yates, Tom
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Rowlands, Alex V., Dempsey, Paddy C., Gillies, Clare, Kloecker, David E., Razieh, Cameron, Chudasama, Yogini, Islam, Nazrul, Zaccardi, Francesco, Lawson, Claire, Norris, Tom, Davies, Melanie J., Khunti, Kamlesh and Yates, Tom (2021) Association between accelerometer-assessed physical activity and severity of COVID-19 in UK Biobank. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 5 (6), 997-1007. (doi:10.1016/j.mayocpiqo.2021.08.011).

Record type: Article

Abstract

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

Methods
Data 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.

Results
Average 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]).

Conclusion
Odds 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.

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e-pub ahead of print date: 20 August 2021
Published date: 30 September 2021

Identifiers

Local EPrints ID: 470501
URI: http://eprints.soton.ac.uk/id/eprint/470501
PURE UUID: 6893941f-c23d-42dc-831c-43f496fe36c3
ORCID for Nazrul Islam: ORCID iD orcid.org/0000-0003-3982-4325

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Date deposited: 11 Oct 2022 17:02
Last modified: 17 Mar 2024 04:15

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Contributors

Author: Alex V. Rowlands
Author: Paddy C. Dempsey
Author: Clare Gillies
Author: David E. Kloecker
Author: Cameron Razieh
Author: Yogini Chudasama
Author: Nazrul Islam ORCID iD
Author: Francesco Zaccardi
Author: Claire Lawson
Author: Tom Norris
Author: Melanie J. Davies
Author: Kamlesh Khunti
Author: Tom Yates

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