Socioeconomic and demographic risk factors in COVID-19 hospitalization among immigrants and ethnic minorities

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

BACKGROUND: Immigrants and ethnic minorities have been shown to be at increased risk of hospitalization from COVID-19. Our aim was to analyse the contribution of socioeconomic and demographic risk factors on hospital admissions for COVID-19 among immigrants and ethnic minorities compared to the majority population.

METHODS: We used nationwide register data on all hospitalized COVID-19 cases between February and June 2020 (N = 2232) and random controls from the general population (N = 498 117). We performed logistic regression analyses and adjusted for age, sex, comorbidity, and socioeconomic and demographic factors. The main outcome measure was hospitalization with COVID-19 and was estimated using odds ratios (OR) and 95% confidence intervals (95% CI).

RESULTS: Among 2232 COVID-19 cases, the OR of hospitalization with COVID-19 among immigrants and descendants of non-Western origin was 2.5 times higher (95% CI: 2.23-2.89) compared with individuals of Danish origin with most pronounced results among individuals from Iraq, Morocco, Pakistan and Somalia. The OR was largely attributed to comorbidity and socioeconomic factors, especially household size, occupation, and population density.

CONCLUSION: There is a significantly higher OR of hospitalization with COVID-19 among non-Western immigrants and ethnic minorities compared with ethnic Danes. This knowledge is crucial for health policymakers and practitioners in both the current and future pandemics to identify more vulnerable groups and target prevention initiatives.

OriginalsprogEngelsk
TidsskriftEuropean Journal of Public Health
Vol/bind32
Udgave nummer2
Sider (fra-til)302-310
Antal sider9
ISSN1101-1262
DOI
StatusUdgivet - 2022

Bibliografisk note

© The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

ID: 303583652