Sites at venues frequented by gay men and other MSM
In bivariate analysis, we first looked—stratified by HIV status—at distribution by venues where the last AI partner was met, taking meeting partners online as the reference group. Bayer R. BMC Inf Dis ; 15
Social networking smartphone applications and sexual health outcomes among men who have sex with men. Although we know that many US baths distribute condoms, lubrication, and HIV information, and a few provide counselors and special events related to safer-sex skills building, 3 there is no evidence of the efficacy of these interventions.
These respondents form the final study sample for our analysis. Looking for men in all the wrong places: HIV prevention small-group programs do not reach high risk gay men.
Sites at venues frequented by gay men and other MSM написано
AIDS risk reduction recommendations and sexual behavior patterns among gay men: a multifactorial categorical approach to assessing change. Dr Judith Moskowitz's creativity in mapping the cities and seeing the project through the multiple pretests and Dr Thomas Mills's knowledge and expertise in the design and implementation of the initial fieldwork were key contributions to the success of this study.
Proportion meeting the last non-steady sex partner at the respective location. Restricting partner numbers may be one important strategy to reduce the risk for HIV infection.
- Michelle L. Among community venue—attending MSM in five cities in , approximately one in eight had an extragenital chlamydial or gonococcal infection.
- Gay, bisexual, and other men who have sex with men MSM represent an incredibly diverse community.
Unfortunately, since we have only cross-sectional and no longitudinal data spanning the time of seroconversion and HIV diagnosis, we cannot determine the relative importance of these three reasons. In all societies, men having sex with men MSM represent a minority of the population.
We intend to test this hypothesis by analysing data from a large online survey. We distinguished between respondents diagnosed and not diagnosed with HIV in each venue, because we hypothesised that the impact of HIV status would be different by meeting place.
We developed sample weights to reflect probability of selection, nonresponse, and noncoverage, while maintaining proportionality between cities based on the estimated size of each city's MSM population.