JOURNAL ARTICLE

University students' perspectives on physiological sexual arousal in victims of sexual assault: The role of gender and rape myths.

  • Published In: Canadian Journal of Human Sexuality, 2024, v. 33, n. 3. P. 340 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Forget, Audrey-Anne; Vandervoort, Mariève; L. Lalumière, Martin 3 of 3

Abstract

This article investigates university students' awareness and perceptions of physiological sexual arousal (erection, lubrication, orgasm) that may involuntarily occur in victims during sexual assault, examining how participant gender, victim gender, perpetrator gender, and endorsement of rape myths influence these perceptions. Surveying 707 cisgender students from the University of Ottawa using an adapted Illinois Rape Myth Acceptance–Short Form (IRMA-SF) scale and tailored questions, the study found that most students acknowledged the possibility of such physiological responses in victims, with variations in perceived likelihood depending on the genders involved. Male participants endorsed rape myths more strongly and were generally less likely to believe in the occurrence of victim sexual arousal during assault; endorsement of rape myths correlated negatively with acceptance of this phenomenon. The findings highlight a general lack of awareness about physiological sexual arousal during sexual assault and suggest the need for educational initiatives to address misconceptions that may affect victim reporting, credibility, and legal outcomes.

Additional Information

  • Source:Canadian Journal of Human Sexuality. 2024/12, Vol. 33, Issue 3, p340
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2024
  • ISSN:1188-4517
  • DOI:10.3138/cjhs-2024-0021
  • Accession Number:181555300
  • 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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