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Exploring the intersection of mate crime, loneliness and isolation in older people living in the community.

  • Published In: Primary Health Care, 2026, v. 36, n. 2. P. 36 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Duffy, Anita; Byrne, Neil; Dalton, Christine; Connolly, Michael 3 of 3

Abstract

Why you should read this article: • To increase your awareness and understanding of the concept of mate crime and how it can affect older people • To understand how perpetrators of mate crime befriend vulnerable older people with the intention of exploiting them • To learn about the community nurse's role in identifying and preventing mate crime. Mate crime is a form of abuse perpetrated by individuals known to the person concerned. In incidents of mate crime, the perpetrators purposely befriend a situationally vulnerable person with a specific intention of exploiting them. Older adults living in the community, particularly those who are isolated and/or experiencing loneliness, are at risk of this form of abuse. Community nurses have an important role in identifying and preventing mate crime and instigating interventions to address it, by working with the person concerned and escalating concerns through safeguarding frameworks and policies. This article provides an overview of mate crime and discusses how it intersects with loneliness and isolation in older people living in the community. The authors use a fictitious case study to illustrate mate crime and describe the role of the community nurse in identifying and preventing this type of abuse. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Primary Health Care. 2026/04, Vol. 36, Issue 2, p36
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2026
  • ISSN:0264-5033
  • DOI:10.7748/phc.2025.e1852
  • Accession Number:192633970
  • Copyright Statement:Copyright of Primary Health Care 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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