Documentation scienceplus.abes.fr version Bêta

À propos de : Relations between sexually transmitted infection diagnosis and sexual compulsivity in a community-based sample of men who have sex with men        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Relations between sexually transmitted infection diagnosis and sexual compulsivity in a community-based sample of men who have sex with men
has manifestation of work
related by
Abstract
  • Objective:. To assess relations between sexual compulsivity and a history of sexually transmitted infection (STI) diagnosis and testing among a community-based sample of men who have sex with men (MSM) in a mid-size urban area of the midwestern United States. Methods:. Sexual health data were collected from 504 MSM in the metropolitan area of Indianapolis, Indiana, using a community-based participatory research approach. Sexual compulsivity scores were assessed using the Sexual Compulsivity Scale (SCS). Results:. The reliability and construct validity of the SCS were determined to be high in the total study sample. Men who scored high on the SCS reported higher levels of sexual risk behaviour with both male and female partners and were significantly more likely to have been diagnosed with STI (including chlamydia, gonorrhoea, both hepatitis A and B, and syphilis) than other men. Men who scored high on the SCS were not more likely than other men to have been tested for STI, despite higher levels of sexual risk. Conclusions:. The SCS may be useful as a supplemental instrument in public health programmes and healthcare settings that encourage men to assess their sexual behaviours and make decisions to pursue STI or HIV screening. For those already diagnosed with an STI, the SCS may help providers to identify the cognitive and affective components of sexual behaviours that increase the likelihood that an STI will be transmitted to a sexual partner.
article type
publisher identifier
  • st28696
Alternative Title
  • Behaviour
is part of this journal
PubMed ID
  • 18096648



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata