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Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study
OBJECTIVES: Obesity is a modifiable risk factor for coronavirus disease 2019 (COVID-19)–related mortality. We estimated excess mortality in obesity, both ‘direct’, through infection, and ‘indirect’, through changes in health care, and also due to potential increasing obesity during lockdown. STUDY D...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society for Public Health. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832229/ https://www.ncbi.nlm.nih.gov/pubmed/33497994 http://dx.doi.org/10.1016/j.puhe.2020.12.003 |
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author | Katsoulis, M. Pasea, L. Lai, A.G. Dobson, R.J.B. Denaxas, S. Hemingway, H. Banerjee, A. |
author_facet | Katsoulis, M. Pasea, L. Lai, A.G. Dobson, R.J.B. Denaxas, S. Hemingway, H. Banerjee, A. |
author_sort | Katsoulis, M. |
collection | PubMed |
description | OBJECTIVES: Obesity is a modifiable risk factor for coronavirus disease 2019 (COVID-19)–related mortality. We estimated excess mortality in obesity, both ‘direct’, through infection, and ‘indirect’, through changes in health care, and also due to potential increasing obesity during lockdown. STUDY DESIGN: The study design of this study is a retrospective cohort study and causal inference methods. METHODS: In population-based electronic health records for 1,958,638 individuals in England, we estimated 1-year mortality risk (‘direct’ and ‘indirect’ effects) for obese individuals, incorporating (i) pre-COVID-19 risk by age, sex and comorbidities, (ii) population infection rate and (iii) relative impact on mortality (relative risk [RR]: 1.2, 1.5, 2.0 and 3.0). Using causal inference models, we estimated impact of change in body mass index (BMI) and physical activity during 3-month lockdown on 1-year incidence for high-risk conditions (cardiovascular diseases, diabetes, chronic obstructive pulmonary disease and chronic kidney disease), accounting for confounders. RESULTS: For severely obese individuals (3.5% at baseline), at 10% population infection rate, we estimated direct impact of 240 and 479 excess deaths in England at RR 1.5 and 2.0, respectively, and indirect effect of 383–767 excess deaths, assuming 40% and 80% will be affected at RR = 1.2. Owing to BMI change during the lockdown, we estimated that 97,755 (5.4%: normal weight to overweight, 5.0%: overweight to obese and 1.3%: obese to severely obese) to 434,104 individuals (15%: normal weight to overweight, 15%: overweight to obese and 6%: obese to severely obese) would be at higher risk for COVID-19 over one year. CONCLUSIONS: Prevention of obesity and promotion of physical activity are at least as important as physical isolation of severely obese individuals during the pandemic. |
format | Online Article Text |
id | pubmed-7832229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society for Public Health. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78322292021-01-26 Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study Katsoulis, M. Pasea, L. Lai, A.G. Dobson, R.J.B. Denaxas, S. Hemingway, H. Banerjee, A. Public Health Original Research OBJECTIVES: Obesity is a modifiable risk factor for coronavirus disease 2019 (COVID-19)–related mortality. We estimated excess mortality in obesity, both ‘direct’, through infection, and ‘indirect’, through changes in health care, and also due to potential increasing obesity during lockdown. STUDY DESIGN: The study design of this study is a retrospective cohort study and causal inference methods. METHODS: In population-based electronic health records for 1,958,638 individuals in England, we estimated 1-year mortality risk (‘direct’ and ‘indirect’ effects) for obese individuals, incorporating (i) pre-COVID-19 risk by age, sex and comorbidities, (ii) population infection rate and (iii) relative impact on mortality (relative risk [RR]: 1.2, 1.5, 2.0 and 3.0). Using causal inference models, we estimated impact of change in body mass index (BMI) and physical activity during 3-month lockdown on 1-year incidence for high-risk conditions (cardiovascular diseases, diabetes, chronic obstructive pulmonary disease and chronic kidney disease), accounting for confounders. RESULTS: For severely obese individuals (3.5% at baseline), at 10% population infection rate, we estimated direct impact of 240 and 479 excess deaths in England at RR 1.5 and 2.0, respectively, and indirect effect of 383–767 excess deaths, assuming 40% and 80% will be affected at RR = 1.2. Owing to BMI change during the lockdown, we estimated that 97,755 (5.4%: normal weight to overweight, 5.0%: overweight to obese and 1.3%: obese to severely obese) to 434,104 individuals (15%: normal weight to overweight, 15%: overweight to obese and 6%: obese to severely obese) would be at higher risk for COVID-19 over one year. CONCLUSIONS: Prevention of obesity and promotion of physical activity are at least as important as physical isolation of severely obese individuals during the pandemic. The Royal Society for Public Health. Published by Elsevier Ltd. 2021-02 2020-12-14 /pmc/articles/PMC7832229/ /pubmed/33497994 http://dx.doi.org/10.1016/j.puhe.2020.12.003 Text en © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Research Katsoulis, M. Pasea, L. Lai, A.G. Dobson, R.J.B. Denaxas, S. Hemingway, H. Banerjee, A. Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study |
title | Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study |
title_full | Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study |
title_fullStr | Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study |
title_full_unstemmed | Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study |
title_short | Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study |
title_sort | obesity during the covid-19 pandemic: both cause of high risk and potential effect of lockdown? a population-based electronic health record study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832229/ https://www.ncbi.nlm.nih.gov/pubmed/33497994 http://dx.doi.org/10.1016/j.puhe.2020.12.003 |
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