Intersectional patterns of HIV-related stigma and discrimination during early COVID-19 pandemic restrictions: a UK cross-sectional study (n = 653)

This cross-sectional study examined intersectional HIV-related stigma during early UK COVID-19 restrictions. Multiple logistic regressions and marginal effects examined demographic correlates of enacted stigma, internalised stigma, disclosure and data security concerns. Among 653 respondents, 80.6% identified as male, 69.8% as gay, and 16.9% as ethnic minority. Since the pandemic, 6.8% reported increased enacted stigma, 32.6% internalised stigma, 42.1% disclosure concerns, and 44.0% data security concerns. Younger PLWH (aged 20-39) were more likely to self-report enacted stigma than 40-59 year olds (AOR: .36, 95% CI: .16-.85) and PLWH over 60 (AOR: .24, 95% CI:.08-.73), as well as internalised stigma (AOR: .53, 95% CI: .33-.86 for 40-59 year olds; AOR: .25, 95% CI: .14-.46 for PLWH aged 60+). Compared to men living with HIV, women with HIV self-reported greater internalised stigma (AOR: 2.39, 95% CI: 1.13-5.05) and data security concerns (AOR: 2.51, 95% CI: 1.21-5.21). Compared to white PLWH, ethnic minority respondents were more likely to report data security concerns (AOR: 3.24, 95% CI: 1.84-5.70). Early COVID-19 restrictions may have exacerbated HIV-related stigma, disproportionately affecting women, ethnic minority, and younger PLWH. Future emergency responses should prioritise PLWH with intersecting vulnerabilities.

Authors

Institutions

Publication Details

Journal
AIDS Care
Published
2026-02-25
DOI
https://doi.org/10.1080/09540121.2026.2633294
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intersectional patterns of HIV-related stigma and discrimination during early COVID-19 pandemic restrictions: a UK cross-sectional study (n = 653)

William Spice, Kevin Martin, Jaime H. Vera, Eileen Nixon et al.
AIDS Care
HIV/AIDS Research and Interventions
article

Intersectional patterns of HIV-related stigma and discrimination during early COVID-19 pandemic restrictions: a UK cross-sectional study (n = 653)

William Spice, Kevin Martin, Jaime H. Vera, Eileen Nixon, Mary Darking, Martin H. Jones, Marc Tweed, Jenny Whetham, Marija Pantelic, Colin Fitzpatrick
article en

Abstract

This cross-sectional study examined intersectional HIV-related stigma during early UK COVID-19 restrictions. Multiple logistic regressions and marginal effects examined demographic correlates of enacted stigma, internalised stigma, disclosure and data security concerns. Among 653 respondents, 80.6% identified as male, 69.8% as gay, and 16.9% as ethnic minority. Since the pandemic, 6.8% reported increased enacted stigma, 32.6% internalised stigma, 42.1% disclosure concerns, and 44.0% data security concerns. Younger PLWH (aged 20-39) were more likely to self-report enacted stigma than 40-59 year olds (AOR: .36, 95% CI: .16-.85) and PLWH over 60 (AOR: .24, 95% CI:.08-.73), as well as internalised stigma (AOR: .53, 95% CI: .33-.86 for 40-59 year olds; AOR: .25, 95% CI: .14-.46 for PLWH aged 60+). Compared to men living with HIV, women with HIV self-reported greater internalised stigma (AOR: 2.39, 95% CI: 1.13-5.05) and data security concerns (AOR: 2.51, 95% CI: 1.21-5.21). Compared to white PLWH, ethnic minority respondents were more likely to report data security concerns (AOR: 3.24, 95% CI: 1.84-5.70). Early COVID-19 restrictions may have exacerbated HIV-related stigma, disproportionately affecting women, ethnic minority, and younger PLWH. Future emergency responses should prioritise PLWH with intersecting vulnerabilities.

AIDS Care
Brighton and Sussex Medical School (GB), University of Oxford (GB), London School of Hygiene & Tropical Medicine (GB), East Sussex Healthcare NHS Trust (GB), University Hospitals Sussex NHS Foundation Trust (GB), Terrence Higgins Trust (GB), University of Brighton (GB)
Gender equality
Openalex Percentile: Top 40%
HIV/AIDS Research and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.