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Ethnic Disparities in Hospitalization for COVID-19: a Community-Based Cohort Study in the UK
Camille Lassale1,2,3, Bamba Gaye4, Mark Hamer5
1Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Importance:
Differentials in COVID-19 incidence, hospitalization and mortality according to ethnicity are being reported but their origin is uncertain.
Objective:
We aimed to explain any ethnic differentials in COVID-19 hospitalization based on socioeconomic, lifestyle, mental and physical health factors.
Design:
Prospective cohort study with national registry linkage to hospitalisation for COVID-19.
Setting:
Community-dwelling.
Participants:
340,966 men and women (mean age 56.2 (SD=8.1) years; 54.3% women) residing in England from the UK Biobank study. Exposures: Ethnicity classified as White, Black, Asian, and Others. Main Outcome(s) and Measure(s): Cases of COVID-19 serious enough to warrant a hospital admission in England from 16-March-2020 to 26-April-2020.
Results:
There were 640 COVID-19 cases (571/324,306 White, 31/4,485 Black, 21/5,732 Asian, 17/5,803 Other). Compared to the White study members and after adjusting for age and sex, Black individuals had over a 4-fold increased risk of being hospitalised (odds ratio; 95% confidence interval: =4.32; 3.00-6.23), and there was a doubling of risk in the Asian group (2.12; 1.37, 3.28) and the Other non-white group (1.84; 1.13, 2.99). After controlling for 15 confounding factors which included neighbourhood deprivation, education, number in household, smoking, markers of body size, inflammation, and glycated haemoglobin, these effect estimates were attenuated by 33% for Blacks, 52% for Asians and 43% for Other, but remained raised for Blacks (2.66; 1.82, 3.91), Asian (1.43; 0.91, 2.26) and other non-white groups (1.41; 0.87, 2.31).
Conclusions And Relevance:
Our findings show clear ethnic differences in risk of hospitalization for COVID-19 which do not appear to be fully explained by known explanatory factors. If replicated, our results have implications for health policy, including the targeting of prevention advice and vaccination coverage.
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