Prevalence of erectile dysfunction (ED) reported in the general population range widely. There do not appear to have been studies using well standardised measures of ED in men who have sex with men (MSM) in Australia. The current study investigated the level of ED in an Australian MSM population.
A cross-sectional internet survey of Australian MSM was undertaken. Participants completed the MSM version of the International Index of Erectile Function (IIEF-MSM) together with age. Results are analysed using the 6 question ED score (EF-6) for those who attempted active anal intercourse (AAI) and those who attempted all forms of sex (AFS) [AAI, passive anal intercourse & non-intercourse sexual activity e.g. masturbation/oral sex] in the past 4 weeks.
The mean age for the whole sample (N = 473), AAI group (n = 324) and for AFS group (n = 237) were: 40.8, (±13.4), 40.1, (±12.9) and 39.7 (± 13.3) years respectively. EF-6 scores [mean (±SD)] were 20.7 (±7.3) for AAI and 21.4 (±7.6) for AFS group. Significant negative correlations were found between age and EF-6 for AAI (R = – 0.391, p <0.0001) and AFS (R = – 0.386; p < 0.0001). EF-6 scores < 16, suggesting moderate to severe ED, were found in 29.6% and 28.3% of the AAI and AFS groups respectively. ED rates of >40.0% were found in the >50 year olds.
This appears to be the first Australian study using the IIEF-MSM assessing the level of moderate to severe ED in MSM. The study found higher ED rates with increasing age. Rates of ED were higher compared to one large international study but similar to those in a study of HIV positive MSM in Europe. Both studies used MSM versions of the IIEF.
Background: STI prevalence is changing. With society aging, life expectancy increasing and changes in sexual practices, STIs in senior citizens are of interest from economic, health related and social burden perspectives. Few studies on STIs in older men greater than 60 years of age exist, hence, a need to obtain further information about this subpopulation.
Conducting clinical audits in the context of continuous quality improvement (CQI) programs in Aboriginal Community Controlled Health Services (ACCHS) has provided valuable information regarding what factors facilitate or create challenges to improving outcomes in sexual health service delivery.
Homosexual men are at increased risk of anal cancer. Screening and treatment of the precursor, HSIL, has been advocated by some, but screening is not recommended in widely-accepted guidelines. We aimed to describe the prevalence, incidence, and clearance rates of anal HSIL, and association with human papillomavirus (HPV) status, in a community-recruited cohort of homosexual men.
Since 2009, the Victorian syphilis enhanced surveillance system has been collecting HIV status and syphilis re-infection status for infectious syphilis cases. Baseline data from 2009 showed that 31% of the infectious syphilis cases were HIV positive and 18% reported were re-infections. This suggested that syphilis transmission among a pool of HIV positive MSM was making a considerable contribution to the syphilis epidemic in Victoria. We analysed the data from 2009 to 2012 to determine whether this pattern of transmission is continuing. Notification data for infectious syphilis between 2009 and 2012 were reviewed by HIV infection status, syphilis re-infection status and risk factor exposures.
HIV positive gay men have high rates of cigarette smoking. The risks of smoking in addition to the elevated risk of cardiovascular disease and some malignancies in people with HIV means smoking cessation interventions should be prioritised.
We investigated the association between chlamydia detection and stage in the menstrual cycle to investigate whether chlamydia detection was higher at different stages of the cycle. Electronic medical records for women attending Melbourne Sexual Health Centre March 2011 - 31st December 2012, who were tested for chlamydia by nucleic acid amplification of high vaginal, cervical, or urinary samples, and who recorded a date of last normal menstrual period (LNMP) between 0-28 days were included in the analysis. Logistic regression was used to calculate OR (95%CI) for the association of chlamydia with menstrual cycle adjusted by demographics and behavioural variables.