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Ethnicity, household composition and COVID-19 mortality: a national linked data study

Ethnicity, household composition and COVID-19 mortality: a national linked data study
Ethnicity, household composition and COVID-19 mortality: a national linked data study
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
0141-0768
182-211
Nafilyan, Vahé
bae04e8d-af87-4def-965c-3d59e2017a9b
Islam, Nazrul
e5345196-7479-438f-b4f6-c372d2135586
Ayoubkhani, Daniel
cfd1b0e2-6685-4edb-a53f-299582b89280
Gilles, Clare
bac2444a-5be8-46ae-b540-dd8542776f70
Katikireddi, Srinivasa Vittal
a130b4a3-7545-429f-8e4a-b63bdca3a003
Mathur, Rohini
989febb1-9d36-4ce0-8690-3b163a385dd3
Summerfield, Annabel
fb2fcfa7-c5a2-4d75-a5ed-9ac1d1288cbb
Tingay, Karen
9e21fd6c-43fa-46fc-86a4-8a65306b1522
Asaria, Miqdad
d556044d-c9fb-4235-92ee-b3f799a3f026
John, Ann
85d7c717-a69f-4d18-82a3-37a80eec3736
Goldblatt, Peter
cdafeabb-81c8-4566-98ff-aa93b7823a59
Banerjee, Amitava
9dc019f6-f475-4fca-be07-8967115af995
Glickman, Myer
61b66cbc-a403-4cd6-b7b5-eb18fccae968
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3
Nafilyan, Vahé
bae04e8d-af87-4def-965c-3d59e2017a9b
Islam, Nazrul
e5345196-7479-438f-b4f6-c372d2135586
Ayoubkhani, Daniel
cfd1b0e2-6685-4edb-a53f-299582b89280
Gilles, Clare
bac2444a-5be8-46ae-b540-dd8542776f70
Katikireddi, Srinivasa Vittal
a130b4a3-7545-429f-8e4a-b63bdca3a003
Mathur, Rohini
989febb1-9d36-4ce0-8690-3b163a385dd3
Summerfield, Annabel
fb2fcfa7-c5a2-4d75-a5ed-9ac1d1288cbb
Tingay, Karen
9e21fd6c-43fa-46fc-86a4-8a65306b1522
Asaria, Miqdad
d556044d-c9fb-4235-92ee-b3f799a3f026
John, Ann
85d7c717-a69f-4d18-82a3-37a80eec3736
Goldblatt, Peter
cdafeabb-81c8-4566-98ff-aa93b7823a59
Banerjee, Amitava
9dc019f6-f475-4fca-be07-8967115af995
Glickman, Myer
61b66cbc-a403-4cd6-b7b5-eb18fccae968
Khunti, Kamlesh
3e64e5f4-0cc9-4524-aa98-3c74c25101c3

Nafilyan, Vahé, Islam, Nazrul, Ayoubkhani, Daniel, Gilles, Clare, Katikireddi, Srinivasa Vittal, Mathur, Rohini, Summerfield, Annabel, Tingay, Karen, Asaria, Miqdad, John, Ann, Goldblatt, Peter, Banerjee, Amitava, Glickman, Myer and Khunti, Kamlesh (2021) Ethnicity, household composition and COVID-19 mortality: a national linked data study. Journal of the Royal Society of Medicine, 114 (4), 182-211. (doi:10.1101/2020.11.27.20238147).

Record type: Article

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

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More information

Accepted/In Press date: 15 February 2021
e-pub ahead of print date: 24 March 2021
Published date: 1 April 2021

Identifiers

Local EPrints ID: 471363
URI: http://eprints.soton.ac.uk/id/eprint/471363
ISSN: 0141-0768
PURE UUID: 6a70331c-5d6d-472e-a174-55a2f68a49d4
ORCID for Nazrul Islam: ORCID iD orcid.org/0000-0003-3982-4325

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Date deposited: 03 Nov 2022 18:06
Last modified: 17 Mar 2024 04:15

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Contributors

Author: Vahé Nafilyan
Author: Nazrul Islam ORCID iD
Author: Daniel Ayoubkhani
Author: Clare Gilles
Author: Srinivasa Vittal Katikireddi
Author: Rohini Mathur
Author: Annabel Summerfield
Author: Karen Tingay
Author: Miqdad Asaria
Author: Ann John
Author: Peter Goldblatt
Author: Amitava Banerjee
Author: Myer Glickman
Author: Kamlesh Khunti

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