While research has determined that gays and lesbians are among the U. The study , published late last month in the American Journal of Preventive Medicine, is thought to be the first to use a large body of government data to examine suicides of gay males and lesbians. In order to compare suicides among sexual minorities to those of the broader population, the study analyzed more than , suicide deaths of those 15 and older across 18 states from to Compared to heterosexuals, the report found gay men who killed themselves were likelier to have had a diagnosed mental health condition, a history of suicidal thoughts or plans, an argument before death and a crisis around the time of death. Like gay men, lesbians were also likelier than heterosexuals to have had a diagnosed mental health condition prior to suicide and were likelier to have tried to signal their desire to attempt suicide before doing so.
Study highlights differences between gay, straight suicides
Charts and Tables for Hearing Statistics | NIDCD
Get involved in our campaigns and help ensure young people's health and rights. Also available in [ PDF ] format. Comprehensive sexuality education, health equity, and access to contraception are more important than ever to the health of young people in the state. Youth of color and LGBTQ youth are at disproportionate risk for these negative sexual health outcomes. Research demonstrates that comprehensive sexuality health education and access to contraceptive services can help young people protect their health and well-being in the face of these risks. Accessed 7 September National Vital Statistics Reports.
The Impact of HIV on Teens and Young Adults
COVID is an emerging, rapidly evolving situation. Get the latest CDC public health information. Approximately 1.
Metrics details. This paper profiles HIV prevalence and related factors among Black African men and women compared to other race groups in South Africa using the population-based national household HIV survey. This secondary data analysis was based on the population-based nationally representative multi-stage stratified cluster random household sample. Bivariate and multiple logistic regression analysis were used to assess the relationship between HIV prevalence and associated factors by gender and racial profile.