And any reported lifetime overdose events. Receptive needle sharing in the past 30 days (i.e. having used a potentially contaminated needle that someone else had used) and the number of injections in the past 30 days were analyzed as secondary dependent variables in a sub-analysis among respondents reporting current IDU (n 0117). The main independent variable was sexual violence perpetrated by police, which we measured by asking the question, “Have you ever been forced to have sex with a police officer?” Although we also measured other police involvement items such as syringe confiscations (syringes are not illegal in Russia) and arrests, these were not part of the definition of the main independent variable. Other subject characteristics of Sitravatinib web interest included age, educational status (up to primary school completion [grade 9]MethodsWe conducted a secondary data analysis of 228 women reporting drug injection using baseline survey data from the HERMITAGE study, a randomized controlled trial among 700 HIV-positive Russian drinkers testing a behavioural intervention to reduce risky behaviours [12]. We did not include men in the analysis as only one man reported sexual violence from police. The recruitment of study participants is described in detail elsewhere [11]. In brief, from October 2007 to April 2010, we recruited HIV-positive risky drinkers with reported unprotected sex in the previous six Sitravatinib site months at four HIV care and addiction treatment sites in St. Petersburg, as well as at a needle-exchange programme which referred to the treatment sites. Entry criteria included the following: age 18 years or older, HIV infection, reported unsafe sex (anal or vaginal sex without a condom) in the past six months, any risky drinking in the past six months as defined by the US National Institute on Alcohol Abuse and Alcoholism (NIAAA) [13], provision of contact information, a stable address within 150 km of the city and the ability to provide informedLunze K et al. Journal of the International AIDS Society 2016, 19(Suppl 3):20877 http://www.jiasociety.org/index.php/jias/article/view/20877 | http://dx.doi.org/10.7448/IAS.19.4.vs. higher), any history of incarceration, stigma scores (abbreviated Berger HIV stigma scale), depression scores (Beck’s Depression Index-II), ever antiretroviral treatment, time since HIV diagnosis (under vs. over one year), risky alcohol use in the past 30 days (i.e. any as defined by the NIAAA), lifetime transactional sex (selling sex for money or drugs), incarceration, intimate partner violence victimization, childhood sex abuse victimization, suicide attempts and the number of unprotected sex encounters in the past 30 days. Data analysis Quantitative survey We computed descriptive statistics and applied chi-square and Student t-tests to describe differences in subject characteristics between groups (police sexual violence victims vs. non-victims). Separate logistic (dichotomous outcomes) and Poisson (number of injections) regression models were used to assess association between sexual violence from police and the primary (current IDU, lifetime overdose) and secondary (receptive needle sharing and injection frequency) outcomes. Potential confounders included as covariates in adjusted models were age, stigma (Berger HIV Stigma Scale), depression, childhood sex abuse victimization, history of incarceration and involvement in transactional sex. These covariates were selected based on prior literature and clinical knowledge, s.And any reported lifetime overdose events. Receptive needle sharing in the past 30 days (i.e. having used a potentially contaminated needle that someone else had used) and the number of injections in the past 30 days were analyzed as secondary dependent variables in a sub-analysis among respondents reporting current IDU (n 0117). The main independent variable was sexual violence perpetrated by police, which we measured by asking the question, “Have you ever been forced to have sex with a police officer?” Although we also measured other police involvement items such as syringe confiscations (syringes are not illegal in Russia) and arrests, these were not part of the definition of the main independent variable. Other subject characteristics of interest included age, educational status (up to primary school completion [grade 9]MethodsWe conducted a secondary data analysis of 228 women reporting drug injection using baseline survey data from the HERMITAGE study, a randomized controlled trial among 700 HIV-positive Russian drinkers testing a behavioural intervention to reduce risky behaviours [12]. We did not include men in the analysis as only one man reported sexual violence from police. The recruitment of study participants is described in detail elsewhere [11]. In brief, from October 2007 to April 2010, we recruited HIV-positive risky drinkers with reported unprotected sex in the previous six months at four HIV care and addiction treatment sites in St. Petersburg, as well as at a needle-exchange programme which referred to the treatment sites. Entry criteria included the following: age 18 years or older, HIV infection, reported unsafe sex (anal or vaginal sex without a condom) in the past six months, any risky drinking in the past six months as defined by the US National Institute on Alcohol Abuse and Alcoholism (NIAAA) [13], provision of contact information, a stable address within 150 km of the city and the ability to provide informedLunze K et al. Journal of the International AIDS Society 2016, 19(Suppl 3):20877 http://www.jiasociety.org/index.php/jias/article/view/20877 | http://dx.doi.org/10.7448/IAS.19.4.vs. higher), any history of incarceration, stigma scores (abbreviated Berger HIV stigma scale), depression scores (Beck’s Depression Index-II), ever antiretroviral treatment, time since HIV diagnosis (under vs. over one year), risky alcohol use in the past 30 days (i.e. any as defined by the NIAAA), lifetime transactional sex (selling sex for money or drugs), incarceration, intimate partner violence victimization, childhood sex abuse victimization, suicide attempts and the number of unprotected sex encounters in the past 30 days. Data analysis Quantitative survey We computed descriptive statistics and applied chi-square and Student t-tests to describe differences in subject characteristics between groups (police sexual violence victims vs. non-victims). Separate logistic (dichotomous outcomes) and Poisson (number of injections) regression models were used to assess association between sexual violence from police and the primary (current IDU, lifetime overdose) and secondary (receptive needle sharing and injection frequency) outcomes. Potential confounders included as covariates in adjusted models were age, stigma (Berger HIV Stigma Scale), depression, childhood sex abuse victimization, history of incarceration and involvement in transactional sex. These covariates were selected based on prior literature and clinical knowledge, s.
