Complex differences in infection rates between ethnic groups in Scotland: a retrospective, national census-linked cohort study of 1.65 million cases

Author:

Gruer L D1,Cézard G I2,Wallace L A3,Hutchinson S J4,Douglas A F1,Buchanan D5,Katikireddi S V6,Millard A D6,Goldberg D J3,Sheikh A1,Bhopal R S1

Affiliation:

1. Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK

2. Population and Health Research Group, School of Geography and Sustainable development, University of St Andrews, St Andrews KY16 9AL, UK

3. Health Protection Scotland, NHS National Services Scotland, Glasgow G2 6QE, UK

4. School of Health and Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK

5. Information Services Division, NHS National Services Scotland, Edinburgh EH12 9EB, UK

6. MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3AX, UK

Abstract

Abstract Background Ethnicity can influence susceptibility to infection, as COVID-19 has shown. Few countries have systematically investigated ethnic variations in infection. Methods We linked the Scotland 2001 Census, including ethnic group, to national databases of hospitalizations/deaths and serological diagnoses of bloodborne viruses for 2001–2013. We calculated age-adjusted rate ratios (RRs) in 12 ethnic groups for all infections combined, 15 infection categories, and human immunodeficiency virus (HIV), hepatitis B (HBV) and hepatitis C (HCV) viruses. Results We analysed over 1.65 million infection-related hospitalisations/deaths. Compared with White Scottish, RRs for all infections combined were 0.8 or lower for Other White British, Other White and Chinese males and females, and 1.2–1.4 for Pakistani and African males and females. Adjustment for socioeconomic status or birthplace had little effect. RRs for specific infection categories followed similar patterns with striking exceptions. For HIV, RRs were 136 in African females and 14 in males; for HBV, 125 in Chinese females and 59 in males, 55 in African females and 24 in males; and for HCV, 2.3–3.1 in Pakistanis and Africans. Conclusions Ethnic differences were found in overall rates and many infection categories, suggesting multiple causative pathways. We recommend census linkage as a powerful method for studying the disproportionate impact of COVID-19.

Funder

Chief Scientist Office

Health Protection Scotland

NHS Health Scotland

Information Services Division

NHS Research Scotland Senior Clinical Fellowship

Medical Research Council

BREATHE - The Health Data Research Hub for Respiratory Health

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine

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