• Vahé Nafilyan, Nazrul Islam, Daniel Ayoubkhani, Clare Gilles, KatikireddiSrinivasa VittalSVMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK., Rohini Mathur, Annabel Summerfield, Karen Tingay, Miqdad Asaria, Ann John, Peter Goldblatt, Amitava Banerjee, Myer Glickman, and Kamlesh Khunti.
• Office for National Statistics, Newport, UK.
• J R Soc Med. 2021 Apr 1; 114 (4): 182211182-211.

ObjectiveTo estimate the proportion of ethnic inequalities explained by living in a multi-generational household.DesignCausal mediation analysis.SettingRetrospective data from the 2011 Census linked to Hospital Episode Statistics (2017-2019) and death registration data (up to 30 November 2020).ParticipantsAdults 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 MeasuresHazard 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.ResultsLiving 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.ConclusionElderly 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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