Anglia Ruskin Research Online (ARRO)
Browse
Booker_Meads_2021.pdf (208.05 kB)

Sexual Orientation and the Incidence of COVID-19: Evidence from Understanding Society in the UK Longitudinal Household Study

Download (208.05 kB)
journal contribution
posted on 2023-07-26, 15:27 authored by Cara L. Booker, Catherine Meads
COVID-19 infection rates and severity are worse in marginalised groups, although, for sexual and gender minorities, there are no data on infections, hospitalisations or deaths, but there may be worse rates. This study uses information from Understanding Society: The UK Household Longitudinal Study (UKHLS) to derive COVID-19 symptoms and positive tests by sexual orientation. Data came from all seven UKHLS COVID-19 survey waves in 2020 and 2021, and sexual orientation in main UKHLS waves 3 and 9. Numbers ranged from 17,800 to 12,000. Covariates in the regression models were gender, age, highest educational qualification, ethnicity, diagnosed medical condition, and key worker status. Compared to heterosexual individuals, more sexual minorities experienced symptoms, and bisexual individuals reported a greater number of symptoms. Gays and lesbians were no more or less likely to have been tested, but a larger proportion of bisexual individuals were tested. Regression models showed that differences mostly disappeared when other characteristics were considered. A small sample size means that principal questions remain, so health inequalities have been largely unnoticed and therefore not addressed. Suitable action should be taken to minimise their future risks. Why sexual and gender minorities have been omitted needs to be explored, and action needs to be taken to ensure this does not happen again.

History

Refereed

  • Yes

Volume

9

Issue number

8

Page range

937-937

Publication title

Healthcare

ISSN

2227-9032

Publisher

MDPI

File version

  • Published version

Language

  • eng

Legacy posted date

2021-07-28

Legacy creation date

2021-07-28

Legacy Faculty/School/Department

Faculty of Health, Education, Medicine & Social Care

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC