A Scoping Review of Intimate Partner Violence as It Relates to the Experiences of Gay and Bisexual Men.
Aisling CallanMelissa CorballyRosaleen McElvaneyPublished in: Trauma, violence & abuse (2020)
Intimate partner violence (IPV) is a global health issue that encroaches beyond parameters of age, gender, sexual orientation and is the subject of extensive scholarly inquiry. Research on IPV in heterosexual couples, in particular on heterosexual women, has been prolific. However, there is a dearth of literature to document the distinct experiences of gay and bisexual men, despite the evidence of prevalence of IPV as reported equal or higher to heterosexual women. Studies have found that one in four gay men and four in 10 bisexual men have experienced IPV in their lifetime. This scoping review examines studies between 1931 and 2019 that had a predominant focus on violence among gay and bisexual men. Four electronic databases were searched in 2019. Arksey and O'Malley's framework was utilized to extract 28 studies using a range of research designs that represented 13,224 sexual minority male participants. Across studies, gay and bisexual men were observed to experience IPV similarly to heterosexual couples involving psychological, physical, and sexual violence. However, as a marginalized and sexual minority group, they experience distinctive features of violence including sexual orientation outing, unprotected sexual intercourse, homophobia, internalized homophobia, and difficulties accessing minority men-focused services. Minority stress theory is posited as a useful lens in understanding the above features. In keeping with previous scholarship, a paucity of knowledge on gay and bisexual men's experience of IPV was observed, and additional research is recommended.
Keyphrases
- intimate partner violence
- men who have sex with men
- hiv positive
- hiv testing
- mental health
- middle aged
- healthcare
- south africa
- antiretroviral therapy
- global health
- systematic review
- polycystic ovary syndrome
- physical activity
- case control
- machine learning
- metabolic syndrome
- type diabetes
- skeletal muscle
- human immunodeficiency virus
- artificial intelligence