Association between living with children and outcomes from covid-19: OpenSAFELY cohort study of 12 million adults in England.


Journal

BMJ (Clinical research ed.)
ISSN: 1756-1833
Titre abrégé: BMJ
Pays: England
ID NLM: 8900488

Informations de publication

Date de publication:
18 03 2021
Historique:
entrez: 19 3 2021
pubmed: 20 3 2021
medline: 26 3 2021
Statut: epublish

Résumé

To investigate whether risk of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and outcomes of coronavirus disease 2019 (covid-19) differed between adults living with and without children during the first two waves of the UK pandemic. Population based cohort study, on behalf of NHS England. Primary care data and pseudonymously linked hospital and intensive care admissions and death records from England, during wave 1 (1 February to 31 August 2020) and wave 2 (1 September to 18 December 2020). Two cohorts of adults (18 years and over) registered at a general practice on 1 February 2020 and 1 September 2020. Adjusted hazard ratios for SARS-CoV-2 infection, covid-19 related admission to hospital or intensive care, or death from covid-19, by presence of children in the household. Among 9 334 392adults aged 65 years and under, during wave 1, living with children was not associated with materially increased risks of recorded SARS-CoV-2 infection, covid-19 related hospital or intensive care admission, or death from covid-19. In wave 2, among adults aged 65 years and under, living with children of any age was associated with an increased risk of recorded SARS-CoV-2 infection (hazard ratio 1.06 (95% confidence interval 1.05 to 1.08) for living with children aged 0-11 years; 1.22 (1.20 to 1.24) for living with children aged 12-18 years) and covid-19 related hospital admission (1.18 (1.06 to 1.31) for living with children aged 0-11; 1.26 (1.12 to 1.40) for living with children aged 12-18). Living with children aged 0-11 was associated with reduced risk of death from both covid-19 and non-covid-19 causes in both waves; living with children of any age was also associated with lower risk of dying from non-covid-19 causes. For adults 65 years and under during wave 2, living with children aged 0-11 years was associated with an increased absolute risk of having SARS-CoV-2 infection recorded of 40-60 per 10 000 people, from 810 to between 850 and 870, and an increase in the number of hospital admissions of 1-5 per 10 000 people, from 160 to between 161 and 165. Living with children aged 12-18 years was associated with an increase of 160-190 per 10 000 in the number of SARS-CoV-2 infections and an increase of 2-6 per 10 000 in the number of hospital admissions. In contrast to wave 1, evidence existed of increased risk of reported SARS-CoV-2 infection and covid-19 outcomes among adults living with children during wave 2. However, this did not translate into a materially increased risk of covid-19 mortality, and absolute increases in risk were small.

Identifiants

pubmed: 33737413
doi: 10.1136/bmj.n628
pmc: PMC7970340
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

n628

Subventions

Organisme : Medical Research Council
ID : MR/V015737/1
Pays : United Kingdom

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support for the work as described above; BG has received research funding from the Laura and John Arnold Foundation, the Wellcome Trust, the NIHR Oxford Biomedical Research Centre, the NHS National Institute for Health Research School of Primary Care Research, the Mohn Westlake Foundation, Health Data Research UK, the Good Thinking Foundation, the Health Foundation, and the World Health Organization; BG also receives personal income from speaking and writing for lay audiences on the misuse of science; LS has received grants from Wellcome, MRC, NIHR, UKRI, British Council, GSK, British Heart Foundation, and Diabetes UK outside this work; IJD has received unrestricted research grants and holds shares in GSK; no other relationships or activities that could appear to have influenced the submitted work.

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Auteurs

Harriet Forbes (H)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Caroline E Morton (CE)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Seb Bacon (S)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Helen I McDonald (HI)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Caroline Minassian (C)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Jeremy P Brown (JP)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Christopher T Rentsch (CT)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Rohini Mathur (R)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Anna Schultze (A)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Nicholas J DeVito (NJ)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Brian MacKenna (B)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

William J Hulme (WJ)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Richard Croker (R)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Alex J Walker (AJ)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Elizabeth J Williamson (EJ)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Chris Bates (C)

The Phoenix Partnership, 129 Low Lane, Horsforth, Leeds, UK.

Amir Mehrkar (A)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Helen J Curtis (HJ)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

David Evans (D)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Kevin Wing (K)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Peter Inglesby (P)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Henry Drysdale (H)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Angel Y S Wong (AYS)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Jonathan Cockburn (J)

The Phoenix Partnership, 129 Low Lane, Horsforth, Leeds, UK.

Robert McManus (R)

The Phoenix Partnership, 129 Low Lane, Horsforth, Leeds, UK.

John Parry (J)

The Phoenix Partnership, 129 Low Lane, Horsforth, Leeds, UK.

Frank Hester (F)

The Phoenix Partnership, 129 Low Lane, Horsforth, Leeds, UK.

Sam Harper (S)

The Phoenix Partnership, 129 Low Lane, Horsforth, Leeds, UK.

Ian J Douglas (IJ)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Liam Smeeth (L)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Stephen J W Evans (SJW)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Krishnan Bhaskaran (K)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Rosalind M Eggo (RM)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.

Ben Goldacre (B)

The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Laurie A Tomlinson (LA)

Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

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