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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.
Katsoulis, M; Pasea, L; Lai, A G; Dobson, R J B; Denaxas, S; Hemingway, H; Banerjee, A.
  • Katsoulis M; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK.
  • Pasea L; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK.
  • Lai AG; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK.
  • Dobson RJB; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Denaxas S; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK.
  • Hemingway H; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK.
  • Banerjee A; Institute of Health Informatics, University College London, London, UK; Health Data Research UK, University College London, London, UK; University College London Hospitals NHS Trust, 235 Euston Road, London, UK; Barts Health NHS Trust, The Royal London Hospital, Whitechapel Rd, London, UK. Electroni
Public Health ; 191: 41-47, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-974521
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 / Obesity Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Public Health Year: 2021 Document Type: Article Affiliation country: J.puhe.2020.12.003

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 / Obesity Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Public Health Year: 2021 Document Type: Article Affiliation country: J.puhe.2020.12.003