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"I don't have the energy": Racial stress, young Black motherhood, and Canadian social policies.

  • Published In: Canadian Review of Sociology, 2023, v. 60, n. 4. P. 542 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Goddard‐Durant, Sadie K.; Doucet, Andrea; Tizaa, Helena; Sieunarine, Jane Ann 3 of 3

Abstract

Significant socio‐economic, health, and mental health disparities due to highly entrenched and systemic anti‐Black racism in Canadian institutions, policies, and practices are now well documented in research and policy reports. Yet, few in‐depth studies have addressed the mental health impacts of anti‐Black racism on Canadian populations. This article is rooted in a community‐based, qualitative research project with young first and second‐generation Black Caribbean‐Canadian mothers and is informed by Black Feminist epistemologies and intersectional theories and methodologies. Our research demonstrates how participants' childhood experiences with xenophobic and racist immigration policies and educational, child welfare, and childcare systems caused their future mental health challenges as young Black mothers, and how these struggles were exacerbated by their encounters with the racist, ageist, xenophobic medical, social, and mental health services they had to access as young mothers. Based on these findings, we recommend enhancements to current social policies to minimize the differential mental health impacts on young Black Canadian mothers. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Canadian Review of Sociology. 2023/11, Vol. 60, Issue 4, p542
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2023
  • ISSN:1755-6171
  • DOI:10.1111/cars.12457
  • Accession Number:173516006
  • Copyright Statement:Copyright of Canadian Review of Sociology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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