Nafilyan, V;
Islam, N;
Ayoubkhani, D;
Gilles, C;
Katikireddi, SV;
Mathur, R;
Summerfield, A;
... Khunti, K; + view all
(2021)
Ethnicity, household composition and COVID-19 mortality: a national linked data study.
Journal of the Royal Society of Medicine
10.1177/0141076821999973.
(In press).
Preview |
Text
Banerjee_Ethnicity, household composition and COVID-19 mortality- a national linked data study_AOP.pdf - Published Version Download (1MB) | Preview |
Abstract
OBJECTIVE: To estimate the proportion of ethnic inequalities explained by living in a multi-generational household. DESIGN: Causal mediation analysis. SETTING: Retrospective data from the 2011 Census linked to Hospital Episode Statistics (2017-2019) and death registration data (up to 30 November 2020). PARTICIPANTS: Adults aged 65 years or over living in private households in England from 2 March 2020 until 30 November 2020 (n=10,078,568). MAIN OUTCOME MEASURES: Hazard ratios were estimated for COVID-19 death for people living in a multi-generational household compared with people living with another older adult, adjusting for geographic factors, socioeconomic characteristics and pre-pandemic health. RESULTS: Living in a multi-generational household was associated with an increased risk of COVID-19 death. After adjusting for confounding factors, the hazard ratios for living in a multi-generational household with dependent children were 1.17 (95% confidence interval [CI] 1.06-1.30) and 1.21 (95% CI 1.06-1.38) for elderly men and women. The hazard ratios for living in a multi-generational household without dependent children were 1.07 (95% CI 1.01-1.13) for elderly men and 1.17 (95% CI 1.07-1.25) for elderly women. Living in a multi-generational household explained about 11% of the elevated risk of COVID-19 death among elderly women from South Asian background, but very little for South Asian men or people in other ethnic minority groups. CONCLUSION: Elderly adults living with younger people are at increased risk of COVID-19 mortality, and this is a contributing factor to the excess risk experienced by older South Asian women compared to White women. Relevant public health interventions should be directed at communities where such multi-generational households are highly prevalent.
Type: | Article |
---|---|
Title: | Ethnicity, household composition and COVID-19 mortality: a national linked data study |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/0141076821999973 |
Publisher version: | https://doi.org/10.1177%2F0141076821999973 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Clinical, ethnic studies, housing and health, infectious diseases, public health |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10125380 |
Archive Staff Only
![]() |
View Item |