Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Intersectional inequalities in COVID-19 morbidity and mortality in Sweden: a retrospective population-based cohort study
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Health Equity Studies (CHESS).ORCID iD: 0000-0003-0800-0892
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Health Equity Studies (CHESS). Stockholm University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0001-9086-7588
Number of Authors: 22026 (English)In: BMJ Public Health, E-ISSN 2753-4294, Vol. 4, no 2, article id e004719Article in journal (Refereed) Published
Abstract [en]

Introduction During the global pandemic, the elderly, foreign-born and socioeconomically deprived experienced disproportionately higher rates of COVID-19 morbidity and mortality than general populations. However, these groups have typically been analysed in isolation, without considering how social factors jointly influenced COVID-19-related health. Thus, the aim of this study is to quantify intersectional inequalities in COVID-19 morbidity and mortality in Sweden.Methods In this retrospective cohort study, national registers were used to identify 35-to-100-year-old residents of Sweden in January 2020 (n=6 014 164), tracking COVID-19 hospitalisations and deaths (International Classification of Diseases-10 Codes U07.1/U07.2, plus B34.2 for deaths) until December 2022. Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy was applied with logistic regression, nesting individuals within intersectional strata based on age, gender, migrant status and region of origin, and income. Measures of discriminatory accuracy (area under the receiver operating characteristic curve or AUC), predicted probabilities and random effects were calculated.Results During follow-up, 77 844 (1.29%) individuals were hospitalised and 18 126 (0.30%) died due to COVID-19. Intersectional models explained 2.22% of the variation in mortality (AUC=0.835) vs 0.60% in hospitalisations (AUC=0.728). Predicted probabilities were lowest in 35-44-year-old Swedish-born women with high income at 0.19% (95% CI 0.16% to 0.21%) for hospitalisations, and 0.01% (95% CI 0.01% to 0.02%) for mortality; and highest among 85-100-year-old foreign-born men from the Global South with low income at 14.85% (95% CI 12.84% to 17.10%) for hospitalisations, and 8.25% (95% CI 6.32% to 10.70%) for mortality. Random effects indicated wider income inequalities in both outcomes in the youngest and narrower in the oldest, native-born and foreign-born groups from the Global North.Conclusions Intersectional inequalities in COVID-19 outcomes consistently increased with age, decreased with income and were higher for men and foreign-born individuals. The results emphasise the need to consider universal public health strategies to reach vulnerable populations during a pandemic.

Place, publisher, year, edition, pages
2026. Vol. 4, no 2, article id e004719
Keywords [en]
COVID-19, Epidemiology, Public Health, Social Medicine
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:su:diva-255386DOI: 10.1136/bmjph-2025-004719ISI: 001743034900001PubMedID: 42006759OAI: oai:DiVA.org:su-255386DiVA, id: diva2:2059917
Available from: 2026-05-13 Created: 2026-05-13 Last updated: 2026-05-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Honkaniemi, HelenaJuárez, Sol Pia

Search in DiVA

By author/editor
Honkaniemi, HelenaJuárez, Sol Pia
By organisation
Centre for Health Equity Studies (CHESS)Department of Sociology
In the same journal
BMJ Public Health
Public Health, Global Health and Social Medicine

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 19 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf