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Cross-Sectional Research01:50

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Quantitative approaches to structural intersectionality research: Conceptual and methodologic considerations.

Dougie Zubizarreta1, Ariel L Beccia2

  • 1Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Social Science & Medicine (1982)
|January 29, 2025
PubMed
Summary
This summary is machine-generated.

This study addresses the need for quantitative structural intersectionality research to understand how combined forms of discrimination, like racism and sexism, impact population health. Developing methods to measure these joint effects is crucial for advancing health equity.

Keywords:
Health inequitiesIntersectionalityLife-courseMeasurementStructural determinants

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Area of Science:

  • Public Health
  • Sociology
  • Health Equity Research

Background:

  • Novel measures for structural discrimination (racism, xenophobia, sexism, heterosexism, cisgenderism) are emerging.
  • These systems of oppression are interdependent but their joint health impacts are understudied.
  • Limited guidance exists on combining measures to assess combined impacts on population health.

Purpose of the Study:

  • To describe conceptual and methodologic considerations for quantitative structural intersectionality research.
  • To guide population health researchers in examining how intersecting systems of power shape health inequities.
  • To address the gap in research on the joint impacts of multiple structural discrimination forms.

Main Methods:

  • This commentary outlines a quantitative structural intersectionality research approach.
  • Focuses on examining the intersection of power systems and their effects on population health.
  • Emphasizes the need for best practices in measuring and analyzing combined structural discrimination.

Main Results:

  • The study highlights the necessity of developing robust methods for structural intersectionality research.
  • Identifies the critical need for measuring and analyzing the joint impacts of discrimination.
  • Provides a framework for understanding how intersecting oppressions influence health outcomes.

Conclusions:

  • Best practices for measuring and analyzing joint impacts of structural discrimination are crucial.
  • Effective quantification of these impacts is essential for informing interventions and policies.
  • Advancing health equity and social justice requires addressing the intersectional nature of discrimination.