JOURNAL ARTICLE
Exploring sexuality and ageism and the nurse's role in supporting sexual health in older adults.
Published In: Nursing Older People, 2026, v. 38, n. 1. P. 34 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Finlay, Stacey Louise 3 of 3
Abstract
Why you should read this article: • To understand how ageism can adversely affect the sexual health of older people • To learn about challenging ageism and responding to discussions about sexual health with older adults • To contribute towards revalidation as part of your 35 hours of CPD (UK readers) • To contribute towards your professional development and local registration renewal requirements (non-UK readers). Sexuality is a fundamental aspect of human life, and sexual healthcare and sexual well-being support are relevant and important across the lifespan. However, internalised and externalised ageism can adversely affect the sexual health of older people; it is important, therefore, that nurses are able to recognise and challenge ageist ideas and practices to facilitate effective sexual healthcare. This article provides an overview of sexuality and ageism and discusses the importance of, and some barriers to, effective sexual healthcare and sexual well-being support in older adults. The author also provides guidance for nurses in reflecting on and challenging ageism in this context and in initiating and responding to discussions with older adults about sexual health. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Nursing Older People. 2026/02, Vol. 38, Issue 1, p34
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2026
- ISSN:1472-0795
- DOI:10.7748/nop.2026.e1519
- Accession Number:191259509
- Copyright Statement:Copyright of Nursing Older People is the property of Royal College of Nursing of the United Kingdom (The) 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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