Intersectional relationships between age, sex, ethnicity, nationality and experience of racism in the UK using different ethnicity categorisations: A comparative study using survey data.

ABSTRACT: Traditionally, research has relied on broad ethnic categories such as "Asian," "Black," "White," "Mixed," and "Other." These categories often mask significant variations in experiences and outcomes among ethnic subgroups. The Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA) approach has become an increasingly recognised quantitative method to study intersectional health inequities. There is a need for better understanding of how the granularity with which ethnicity is measured impacts the interpretation of I-MAIHDA. We used the Evidence from Equality National Survey: A Survey of Ethnic Minorities During the COVID-19 Pandemic, 2021 (EVENS) study, a cross-sectional survey conducted between February and November 2021, including 14,221 indiv

SUBMITTER: Lam J 

PROVIDER: S-EPMC12765057 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature