JOURNAL ARTICLE

Lesbian, Gay, and Bisexual Widows' Experiences of Grief, Identity, and Support: A Qualitative Study of Relationships Following the Loss of a Spouse or Partner.

  • Published In: Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2023, v. 78, n. 6. P. 1039 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Valenti, Korijna G; Hahn, Sarah; Enguidanos, Susan; Quinn, Gwendolyn; Medeiros, Kate de 3 of 3

Abstract

This article examines the bereavement experiences of older lesbian, gay, and bisexual (LGB) women widows, focusing on how spousal loss affects their familial relationships, support networks, and sense of self. Using Relational Cultural Theory (RCT) as a framework, the qualitative study involved semistructured interviews with 16 LGB women aged 60–85 across the United States who had lost a spouse or partner within five years. Findings reveal that while LGB widows share some grief experiences with heterosexual widows, they often face varying levels of acceptance and support from biological families, experience the disappearance or rallying of family and friends, and frequently rely on chosen families and expanded LGB communities to foster resilience and identity reconstruction. The study highlights the unique challenges of disenfranchised grief, social isolation, and family tensions in this population, emphasizing the need for culturally sensitive support and advocacy tailored to the distinct relational dynamics of older LGB widows.

Additional Information

  • Source:Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2023/06, Vol. 78, Issue 6, p1039
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:1079-5014
  • DOI:10.1093/geronb/gbac176
  • Accession Number:163956892
  • Copyright Statement:Copyright of Journals of Gerontology Series B: Psychological Sciences & Social Sciences is the property of Oxford University Press / USA 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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