Skip to main content

Predicting sexual risk behavior in British and European Union university students in the United Kingdom.

Jaspal, R., Lopes, B., Wignall, L. and Bloxsom, C., 2021. Predicting sexual risk behavior in British and European Union university students in the United Kingdom. American Journal of Sexuality Education, 16 (1), 140-159.

Full text available as:

[img] PDF
Jaspal et al Predicting Sexual Risk.pdf - Accepted Version
Restricted to Repository staff only until 18 January 2022.
Available under License Creative Commons Attribution Non-commercial.

589kB

DOI: 10.1080/15546128.2020.1869129

Abstract

Drawing on the Health Adversity Risk Model, this study examines the relationship between mental health and sexual risk behaviors in British and European Union (EU) university students in the United Kingdom. Four hundred and thirty-one undergraduate students completed a cross-sectional survey. Data were analyzed using independent samples t-tests, multiple regression and structural equation modeling. Results showed that female students and British students exhibited higher levels of psychological distress, self-harm and sexual risk behaviors than males and EU students; and that female and EU students were more likely to adopt adaptive coping styles than male and British students, respectively. The structural equation model suggests that the relationship between gender and citizenship and sexual risk-taking is mediated by identity threat, psychological distress, coping styles and self-harm. Adaptive coping styles are not necessarily protective against sexual risk-taking but rather determine the type of sexual risk behavior: re-thinking/planning is associated with volitional risk behaviors and social engagement with non-volitional behaviors. Social and cultural norms shed light on mental health outcomes and sexual risk-taking in university students.

Item Type:Article
ISSN:1554-6128
Uncontrolled Keywords:university students ; sexual risk ; identity threat ; psychological distress ; self harm ; health adversity risk model
Group:Faculty of Science & Technology
ID Code:34999
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:04 Jan 2021 10:10
Last Modified:27 May 2021 07:55

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -