Body Mass Index and Risk of COVID-19 Diagnosis, Hospitalization, and Death: A Cohort Study of 2 524 926 Catalans.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
19 11 2021
Historique:
received: 25 03 2021
pubmed: 24 7 2021
medline: 15 12 2021
entrez: 23 7 2021
Statut: ppublish

Résumé

A comprehensive understanding of the association between body mass index (BMI) and coronavirus disease 2019 (COVID-19) is still lacking. To investigate associations between BMI and risk of COVID-19 diagnosis, hospitalization with COVID-19, and death after a COVID-19 diagnosis or hospitalization (subsequent death), accounting for potential effect modification by age and sex. Population-based cohort study. Primary care records covering >80% of the Catalan population, linked to regionwide testing, hospital, and mortality records from March to May 2020. Adults (≥18 years) with at least 1 measurement of weight and height. Hazard ratios (HR) for each outcome. We included 2 524 926 participants. After 67 days of follow-up, 57 443 individuals were diagnosed with COVID-19, 10 862 were hospitalized with COVID-19, and 2467 had a subsequent death. BMI was positively associated with being diagnosed and hospitalized with COVID-19. Compared to a BMI of 22 kg/m2, the HR (95% CI) of a BMI of 31 kg/m2 was 1.22 (1.19-1.24) for diagnosis and 1.88 (1.75-2.03) and 2.01 (1.86-2.18) for hospitalization without and with a prior outpatient diagnosis, respectively. The association between BMI and subsequent death was J-shaped, with a modestly higher risk of death among individuals with BMIs ≤ 19 kg/m2 and a more pronounced increasing risk for BMIs ≥ 40 kg/m2. The increase in risk for COVID-19 outcomes was particularly pronounced among younger patients. There is a monotonic association between BMI and COVID-19 diagnosis and hospitalization risks but a J-shaped relationship with mortality. More research is needed to unravel the mechanisms underlying these relationships.

Identifiants

pubmed: 34297116
pii: 6326782
doi: 10.1210/clinem/dgab546
pmc: PMC8344917
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e5030-e5042

Subventions

Organisme : Department of Health
ID : SRF-2018-11-ST2-004
Pays : United Kingdom
Organisme : European Health Data and Evidence Network
Organisme : European Union's Horizon 2020
Organisme : Bill and Melinda Gates Foundation
ID : ID INV-016201
Organisme : NIHR Oxford Biomedical Research Centre
Organisme : National Institute for Health Research
ID : SRF-2018-11-ST2-004
Organisme : Wereld Kanker Onderzoek Fonds
Organisme : World Cancer Research Fund International
ID : 2017/1630

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society.

Auteurs

Martina Recalde (M)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
Universitat Autònoma de Barcelona, Bellaterra, Spain.

Andrea Pistillo (A)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

Sergio Fernandez-Bertolin (S)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

Elena Roel (E)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
Universitat Autònoma de Barcelona, Bellaterra, Spain.

Maria Aragon (M)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

Heinz Freisling (H)

International Agency for Research on Cancer (IARC-WHO), Lyon, France.

Daniel Prieto-Alhambra (D)

Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.

Edward Burn (E)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK.

Talita Duarte-Salles (T)

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.

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