Barcelona 2013
Barcelona 2013
Abstract book - Abstract - 393
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Abstract #393  -  E-Posters English
Session:
  50.44: E-Posters English (Poster) on Sunday   in  Chaired by
Authors:
  Presenting Author:   Dr Jeffrey Grierson - La Trobe University, Australia
 
  Additional Authors:  Dr. Jordi Casabona, Sra Cristina Sanclemente, Dra. Anna  Esteve, Dra. Victoria Gonzalez, Grupo HIVITS TS,  
Aim:
The overall aim of the study was to comprehensively map the relationship between gay, bisexual and other men who have sex with men and their venues of social and sexual engagement in three Indonesian cities. We seek to characterise the structures and pathways of these relationships.
 
Method / Issue:
We report on a formal 2-mode social network study of men and sites. Men were recruited from Medan, Jakarta and Bali in 2012. Data were collected via an online questionnaire which included a separate site list for each of the three locations (10 in Medan, 13 in Jakarta, 11 in Bali). Participants were recruited both face to face and online. Participants completed the survey either at recruitment using a hand held device or hand-phone, or independently at another time.
 
Results / Comments:
A total of 1329 men completed the survey with roughly equal numbers in each setting. Men had a median age of 26 years. 58% identified as gay/homosexual and 40% as bisexual. Around half (48%) had a regular male partner and 23% had a regular female partner. 53% had had an HIV test and 6% reported being HIV positive (12% of those tested). On average men had visited 29% of sites at least once in the previous year. Men reported their reason for visiting and whether they had sex with men they met there. We report on the structure of these networks in the three settings and the characterization of men who visit them.
 
Discussion:
By characterising the demographic profiles of men who frequent particular venue pairs (for example park+ bar) and their motivations for visiting each venue (for example sexual + social) we can assist in the tailoring of prevention messages that optimally utilise social pathways.
 
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