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Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform.
Wing, Kevin; Grint, Daniel J; Mathur, Rohini; Gibbs, Hamish P; Hickman, George; Nightingale, Emily; Schultze, Anna; Forbes, Harriet; Nafilyan, Vahé; Bhaskaran, Krishnan; Williamson, Elizabeth; House, Thomas; Pellis, Lorenzo; Herrett, Emily; Gautam, Nileesa; Curtis, Helen J; Rentsch, Christopher T; Wong, Angel Y S; MacKenna, Brian; Mehrkar, Amir; Bacon, Seb; Douglas, Ian J; Evans, Stephen J W; Tomlinson, Laurie; Goldacre, Ben; Eggo, Rosalind M.
  • Wing K; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Grint DJ; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Mathur R; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Gibbs HP; Department of Geography, University College London, London, UK.
  • Hickman G; The DataLab, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.
  • Nightingale E; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Schultze A; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Forbes H; Population Health Sciences, University of Bristol, Bristol, UK.
  • Nafilyan V; Health Modelling Hub, Office of National Statistics, Newport, UK.
  • Bhaskaran K; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Williamson E; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • House T; Department of Mathematics, University of Manchester, Manchester, UK.
  • Pellis L; Department of Mathematics, University of Manchester, Manchester, UK.
  • Herrett E; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Gautam N; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Curtis HJ; Aetion Inc, Boston, USA.
  • Rentsch CT; The DataLab, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.
  • Wong AYS; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • MacKenna B; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Mehrkar A; The DataLab, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.
  • Bacon S; The DataLab, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.
  • Douglas IJ; The DataLab, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.
  • Evans SJW; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Tomlinson L; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Goldacre B; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Eggo RM; The DataLab, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.
Int J Epidemiol ; 2022 Aug 13.
Article in English | MEDLINE | ID: covidwho-1992195
ABSTRACT

BACKGROUND:

Ethnic differences in the risk of severe COVID-19 may be linked to household composition. We quantified the association between household composition and risk of severe COVID-19 by ethnicity for older individuals.

METHODS:

With the approval of NHS England, we analysed ethnic differences in the association between household composition and severe COVID-19 in people aged 67 or over in England. We defined households by number of age-based generations living together, and used multivariable Cox regression stratified by location and wave of the pandemic and accounted for age, sex, comorbidities, smoking, obesity, housing density and deprivation. We included 2 692 223 people over 67 years in Wave 1 (1 February 2020-31 August 2020) and 2 731 427 in Wave 2 (1 September 2020-31 January 2021).

RESULTS:

Multigenerational living was associated with increased risk of severe COVID-19 for White and South Asian older people in both waves [e.g. Wave 2, 67+ living with three other generations vs 67+-year-olds only White hazard ratio (HR) 1.61 95% CI 1.38-1.87, South Asian HR 1.76 95% CI 1.48-2.10], with a trend for increased risks of severe COVID-19 with increasing generations in Wave 2. There was also an increased risk of severe COVID-19 in Wave 1 associated with living alone for White (HR 1.35 95% CI 1.30-1.41), South Asian (HR 1.47 95% CI 1.18-1.84) and Other (HR 1.72 95% CI 0.99-2.97) ethnicities, an effect that persisted for White older people in Wave 2.

CONCLUSIONS:

Both multigenerational living and living alone were associated with severe COVID-19 in older adults. Older South Asian people are over-represented within multigenerational households in England, especially in the most deprived settings, whereas a substantial proportion of White older people live alone. The number of generations in a household, number of occupants, ethnicity and deprivation status are important considerations in the continued roll-out of COVID-19 vaccination and targeting of interventions for future pandemics.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Topics: Vaccines Language: English Year: 2022 Document Type: Article Affiliation country: Ije

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Topics: Vaccines Language: English Year: 2022 Document Type: Article Affiliation country: Ije