JOURNAL ARTICLE
Relational Cultural Theory and Intervention Approaches with Adolescent Girls: An Integrative Review.
Published In: Affilia: Feminist Inquiry in Social Work, 2025, v. 40, n. 1. P. 83 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Evans, Kylie; O'Donnell, Kari 3 of 3
Abstract
This article focuses on the application of Relational Cultural Theory (RCT)—a feminist, relationally-centered model emphasizing mutual empathy, authenticity, empowerment, and growth-fostering connections—in therapeutic interventions with adolescent girls, particularly those from diverse and underrepresented groups. An integrative literature review of 12 studies found that RCT principles have been translated into various group and individual interventions across settings such as schools, residential treatment, and juvenile detention centers, often incorporating creative and psychoeducational activities to promote relational health. Over half of the studies included samples with a majority of girls of color, primarily Latina/Hispanic, though representation of other marginalized identities (e.g., Black, Native American, LGBTQ+, disabled) was limited. The review highlights the potential of RCT to address relational and developmental needs of adolescent girls while noting gaps in methodological rigor, cultural specificity, and incorporation of anti-oppressive frameworks, suggesting directions for future research and practice in social work and therapy.
Additional Information
- Source:Affilia: Feminist Inquiry in Social Work. 2025/02, Vol. 40, Issue 1, p83
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:0886-1099
- DOI:10.1177/08861099241271296
- Accession Number:182608450
- Copyright Statement:Copyright of Affilia: Feminist Inquiry in Social Work is the property of Sage Publications Inc. 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.