OBJECTIVE: In four states in southern India we explored the determinants of HIV prevalence among female sex workers (FSW), as well as factors associated with district-level variations in HIV prevalence among FSW. METHODS: Data from cross-sectional surveys in 23 districts were analysed, with HIV prevalence as the outcome variable, and sociodemographic and sex work characteristics as predictor variables. Multilevel logistic regression was applied to identify factors that could explain variations in HIV prevalence among districts. RESULTS: HIV prevalence among the 10 096 FSW surveyed was 14.5% (95% confidence interval 14.0-15.4), with a large interdistrict variation, ranging from 2% to 38%. Current marital status and the usual place of solicitation emerged as important factors that determine individual probability of being HIV positive, as well as the HIV prevalence within districts. In multivariate analysis, compared with home-based FSW, the odds of being HIV positive was greater for brothel-based FSW [adjusted odds ratio (AOR) 2.17, P <or= 0.001] and for public place-based FSW (AOR 1.32, P = 0.005). Unmarried FSW and those who were widowed/divorced/separated, or from the devadasi tradition, had higher odds of being HIV positive (AOR 1.79, P <or= 0.001 and 1.98, P < 0.001, respectively), than those currently married. The estimated district level variance in HIV prevalence was lowest (0.152) for brothel-based unmarried FSW, followed by brothel-based widowed/divorced/separated or devadasi FSW (0.192). CONCLUSION: Heterogeneity in the organization and structure of sex work is an important determinant of variations in HIV prevalence among FSW across districts in India, much more so than the districts themselves. This understanding should help to improve the design of HIV preventive interventions.
OBJECTIVE: In four states in southern India we explored the determinants of HIV prevalence among female sex workers (FSW), as well as factors associated with district-level variations in HIV prevalence among FSW. METHODS: Data from cross-sectional surveys in 23 districts were analysed, with HIV prevalence as the outcome variable, and sociodemographic and sex work characteristics as predictor variables. Multilevel logistic regression was applied to identify factors that could explain variations in HIV prevalence among districts. RESULTS: HIV prevalence among the 10 096 FSW surveyed was 14.5% (95% confidence interval 14.0-15.4), with a large interdistrict variation, ranging from 2% to 38%. Current marital status and the usual place of solicitation emerged as important factors that determine individual probability of being HIV positive, as well as the HIV prevalence within districts. In multivariate analysis, compared with home-based FSW, the odds of being HIV positive was greater for brothel-based FSW [adjusted odds ratio (AOR) 2.17, P <or= 0.001] and for public place-based FSW (AOR 1.32, P = 0.005). Unmarried FSW and those who were widowed/divorced/separated, or from the devadasi tradition, had higher odds of being HIV positive (AOR 1.79, P <or= 0.001 and 1.98, P < 0.001, respectively), than those currently married. The estimated district level variance in HIV prevalence was lowest (0.152) for brothel-based unmarried FSW, followed by brothel-based widowed/divorced/separated or devadasi FSW (0.192). CONCLUSION: Heterogeneity in the organization and structure of sex work is an important determinant of variations in HIV prevalence among FSW across districts in India, much more so than the districts themselves. This understanding should help to improve the design of HIV preventive interventions.
Authors: Kate Shannon; Steffanie A Strathdee; Shira M Goldenberg; Putu Duff; Peninah Mwangi; Maia Rusakova; Sushena Reza-Paul; Joseph Lau; Kathleen Deering; Michael R Pickles; Marie-Claude Boily Journal: Lancet Date: 2014-07-22 Impact factor: 79.321
Authors: Tara S H Beattie; Harnalli L Mohan; Parinita Bhattacharjee; Sudha Chandrashekar; Shajy Isac; Tisha Wheeler; Ravi Prakash; Banadakoppa M Ramesh; James F Blanchard; Lori Heise; Peter Vickerman; Stephen Moses; Charlotte Watts Journal: Am J Public Health Date: 2014-06-12 Impact factor: 9.308
Authors: Tara S H Beattie; Parinita Bhattacharjee; B M Ramesh; Vandana Gurnani; John Anthony; Shajy Isac; H L Mohan; Aparajita Ramakrishnan; Tisha Wheeler; Janet Bradley; James F Blanchard; Stephen Moses Journal: BMC Public Health Date: 2010-08-11 Impact factor: 3.295
Authors: Pradeep Banandur; Satyanarayana Ramanaik; Lisa E Manhart; Raluca Buzdugan; Bidhubhushan Mahapatra; Shajy Isac; Shiva S Halli; Reynold G Washington; Stephen Moses; James F Blanchard Journal: Sex Transm Dis Date: 2012-10 Impact factor: 2.830