Preprint / Version 1

An intersectional analysis of mental health: challenges and perspectives

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DOI:

https://doi.org/10.1590/SciELOPreprints.17542

Keywords:

mental health, intersectionality, psychological distress, inequality

Abstract

he topic of mental health has become increasingly prominent in academic and political
debates. In this context, intersectionality, a concept developed by Kimberlé Crenshaw (2002)
allows for an understanding of mental health through a perspective that integrates the multiple
realities of individuals. Accordingly, this article analyzes how social markers of class, gender, and
race impact the experience of psychological distress among the population of Piauí and their
access to mental health care. The study draws upon the works of Akotirene (2019), Lélia
Gonzalez (2020), Donna Haraway (2009), and Fanon (1961), among other theorists who
highlight the impact of social markers on the psychological well-being of historically
marginalized groups. The article is based on a literature review that combines classical authors
with contemporary contributions, enabling a critical and contextualized analysis.

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Author Biographies

Bianca Probo, Federal University of Piauí

Graduada em Ciências Sociais (Licenciatura), pela Universidade Federal do Piauí (UFPI). Mestranda
do Programa de sociologia (PPGS/UFPI).

Marilia Passos, Federal University of Piauí

Marília Passos Apoliano Gomes é Professora Adjunta do Departamento de Ciências Sociais da Universidade Federal do Piauí (UFPI) e docente permanente do Programa de Pós-Graduação em Sociologia (PPGS/UFPI). Doutora e mestra em Sociologia pela Universidade Federal do Ceará (UFC), atua nas áreas de gênero, relações étnico-raciais, feminismos afrodiaspóricos, decolonialidade e educação. É pesquisadora e coordenadora do núcleo Afrofem: Feminismos Afrodiaspóricos, Afrocentricidade e Decolonialidade.

Submitted

08/23/2026

Posted

08/24/2026

How to Cite

An intersectional analysis of mental health: challenges and perspectives. (2026). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.17542

Section

50th Annual ANPOCS Meeting

Plaudit

Data statement

  • The research data is contained in the manuscript