Homoprejudiced violence among Chinese men who have sex with men: a cross-sectional analysis in Guangzhou, China

BMC Public Health. 2020 Mar 27;20(1):400. doi: 10.1186/s12889-020-08540-9.

Abstract

Background: Homoprejudiced violence, defined as physical, verbal, psychological and cyber aggression against others because of their actual or perceived sexual orientation, is an important public health issue. Most homoprejudiced violence research has been conducted in high-income countries. This study examined homoprejudiced violence among men who have sex with men (MSM) in Guangzhou, China.

Methods: MSM in a large Chinese city, Guangzhou, completed an online survey. Data about experiencing and initiating homoprejudiced violence was collected. Multivariable logistic regression analyses, controlling for age, residence, occupation, heterosexual marriage, education and income, were carried out to explore associated factors.

Results: A total of 777 responses were analyzed and most (64.9%) men were under the age of 30. Three-hundred-ninety-nine (51.4%) men experienced homoprejudiced violence and 205 (25.9%) men perpetrated homoprejudiced violence against others. Men who identified as heterosexual were less (AOR = 0.6, 95% CI: 0.4-0.9) likely to experience homoprejudiced violence compared to men who identified as gay. Men who experienced homoprejudiced violence were more likely to initiate homoprejudiced violence (AOR = 2.44, 95% CI: 1.6-3.5). Men who disclosed their sexual orientation to other people were more likely to experience homoprejudiced violence (AOR = 1.8, 95% CI:1.3-2.5).

Conclusions: These findings suggest the importance of further research and the implementation of interventions focused on preventing and mitigating the effects of homoprejudiced violence among MSM in China.

Keywords: China; Epidemiology; Homoprejudice; Men who have sex with men; Stigma; Violence.

MeSH terms

  • Adult
  • China
  • Cross-Sectional Studies
  • Female
  • Homosexuality, Male / psychology*
  • Homosexuality, Male / statistics & numerical data
  • Humans
  • Male
  • Prejudice*
  • Surveys and Questionnaires
  • Violence / statistics & numerical data*