We are complex beings: comparison of statistical methods to capture and account for intersectionality.

ABSTRACT:

Objectives

Intersectionality conceptualises how different parts of our identity compound, creating unique and multifaceted experiences of oppression. Our objective was to explore and compare several quantitative analytical approaches to measure interactions among four sociodemographic variables and interpret the relative impact of axes of marginalisation on self-reported health, to visualise the potential elevated impact of intersectionality on health outcomes.

Design

Secondary analysis of National Epidemiologic Survey on Alcohol and Related Conditions-III, a nationally representative cross-sectional study of 36 309 non-institutionalised US citizens aged 18 years or older.

Primary outcome measures

We assessed the effect of interactions among race/ethnicity, disability

SUBMITTER: Levandowski BA 

PROVIDER: S-EPMC10828873 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature