JOURNAL ARTICLE

The use of sexual humor in romantic relationships: Description, valence and association with sexual satisfaction.

  • Published In: Canadian Journal of Human Sexuality, 2024, v. 33, n. 3. P. 371 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lomore, Christine D.; Weaver, Angela D.; Lavoie, Claire E. 3 of 3

Abstract

This article investigates the use of sexual humour within romantic relationships and its associations with relational humour, relationship satisfaction, and sexual satisfaction. Based on data from 196 adults in relationships of at least four months, the study found that sexual humour—encompassing inside jokes, physical humour, innuendo, affectionate teasing, and humour to ease awkward moments—is commonly used and generally perceived positively by partners. Positive relational humour by both self and partner predicted more frequent and positively valenced sexual humour, while partner negative relational humour was linked to lower relationship and sexual satisfaction. Importantly, positive perceptions of sexual humour uniquely predicted sexual satisfaction beyond the effects of general relationship satisfaction and relational humour, suggesting sexual humour may play a distinctive role in sexual well-being. The study highlights sexual humour’s potential to facilitate comfort, connection, and communication about sensitive sexual topics, while noting limitations related to sample diversity and the correlational design.

Additional Information

  • Source:Canadian Journal of Human Sexuality. 2024/12, Vol. 33, Issue 3, p371
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2024
  • ISSN:1188-4517
  • DOI:10.3138/cjhs-2024-0024
  • Accession Number:181555303
  • Copyright Statement:Copyright of Canadian Journal of Human Sexuality is the property of University of Toronto Press 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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