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Combining intersectionality and syndemic theory to advance understandings of health inequities among Canadian gay, bisexual and other men who have sex with men.
- Source :
- Critical Public Health; Dec2018, Vol. 28 Issue 5, p509-521, 13p, 5 Charts
- Publication Year :
- 2018
-
Abstract
- Syndemics (socially produced intertwined epidemics) of psychosocial issues have been shown empirically to increase the risk of HIV infection among gay, bisexual and other men who have sex with men (GBM). However, to intervene effectively identifying those who are most vulnerable is critically important. Using an intersectionality framework, this study analyzed data drawn from 8490 Canadian GBM respondents to an online survey to evaluate demographic factors associated with experiencing a syndemic. A multivariable regression model was used to identify demographic characteristics among those experiencing a syndemic of two or more issues. Then, applying an intersectionality framework, the sample was stratified by gay and bisexual men, and by men partnered with woman (whether they were gay, bisexual or other), and the multivariate analyses for demographic variables were repeated for each strata. Multivariate regression models found that men were more at risk of syndemics if they identified as gay, were single, young (< 30-years-old), did not have a university degree and were low-income earners (< $60,000 per year). On stratified analysis, variations were found between gay, bisexual and female-partnered men where gay men were at greater odds of reporting a syndemic. These results provide further evidence that syndemics of psychosocial issues increase the risk of HIV infection among GBM. More so, the occurrence of syndemics was dependent on every single variable investigated including ethnicity and income. As such, interventions to reduce the effects of syndemics should be targeted to those most at risk and address social and structural inequities. [ABSTRACT FROM AUTHOR]
- Subjects :
- HEALTH services accessibility
AUTOMATIC data collection systems
BISEXUALITY
CONFIDENCE intervals
HEALTH status indicators
RESEARCH funding
SURVEYS
LGBTQ+ people
MULTIPLE regression analysis
UNSAFE sex
DATA analysis software
MEN who have sex with men
MEDICAL coding
DESCRIPTIVE statistics
ODDS ratio
Subjects
Details
- Language :
- English
- ISSN :
- 09581596
- Volume :
- 28
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Critical Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 131926664
- Full Text :
- https://doi.org/10.1080/09581596.2017.1380298