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This paper describes the interrelationship among men's self-reports of symptoms, unsafe sexual behavior, and biologically tested sexually transmitted infections (STIs). Data are drawn from the baseline survey of six-year (2001-2007) research and intervention project on men's sexual health and HIV/STI risk reduction conducted in three urban poor communities in Mumbai, India. The survey collected a wide range of demographic, attitudinal, knowledge, and behavioral data. In addition, men were tested for common STIs by selecting a systematic random sub-sample of 816 men (assuming 20% non-response). Data in this paper are based on 641 men who had completed the survey interview and for whom the testing of blood and urine samples was conducted. Results suggest that the self-reported STI-like symptoms and unsafe sexual behavior taken together as a predictor of confirmed STIs improve the sensitivity to a significantly greater degree (χ 2=2.83, p<0.05) as compared to the sensitivity of self-reported STI-like symptoms or unsafe sexual behavior alone as a predictor of confirmed STIs. In addition, the consistency of self-report was found to vary among socio-demographic and behaviorally defined sub-groups. These results provide preliminary support for the importance of population-based surveys, which collect all the three types of data such as reported behavior, symptoms and laboratory confirmed STIs for a full understanding of sexual risk and STIs and for identification of sub-groups within communities that vary in their ability to identify STI symptoms. [ABSTRACT FROM AUTHOR]

Since the beginning of the HIV/AIDS epidemic in India, pregnant women attending antenatal clinics (ANC) have been considered as a low HIV risk population. Yet, a substantial proportion of new HIV infections are occurring among stable heterosexual couples. This paper sought to investigate the proportion and profile of women who, within the low-risk population, are potentially at higher risk of HIV infection. HIV risk perception of pregnant women enrolled within the ANRS 12127 Prenahtest trial was described and associated socio-behavioral characteristics, husband's characteristics, and HIV-related characteristics were analyzed using univariate and multivariate logistic regression models. Among 484 women enrolled, baseline data were collected for 479 women and 460 women with completed data were considered for the present analysis (96%). Eighty-nine (19.4%) women perceived themselves at risk of HIV. Women with educational level <11years (Adjusted Odds Ratio, AOR = 2.4 [CI = 1.28–4.53]), who stayed in joint families (AOR = 1.89 [CI = 1.12–3.12]), who had experienced insult or hurt from the partner (AOR = 1.91 [CI = 1.11–3.27]) and whose partner were alcoholic (AOR = 2.19 [CI = 1.31–3.66]) were significantly more likely to perceive themselves at risk of HIV. Women who had heard about sexually transmitted infections were also more likely to report HIV risk perception (AOR = 3.36 [CI = 1.83–6.18]). Substantial proportion of women (one out of five) perceived themselves at risk of HIV and most of these have reported some form of vulnerability in their couple relationship such as intimate partner violence, alcoholic partner, lack of communication, and spaces for communication with partner. Though awareness and knowledge is the first step for prevention, considering the vulnerabilities associated with HIV risk perception, HIV prevention interventions in India should target overall sources of vulnerability to HIV. Targeted risk reduction for women in ANC should be considered for primary HIV prevention among couples. [ABSTRACT FROM AUTHOR]

Using population-based and family structural data from a high HIV-prevalence district of Southern India, this paper considers four suggested social scenarios used to explain the positive correlation between HIV prevalence and previously married status among Indian women: (1) infection from and then bereavement of an infected husband; (2) abandonment after husbands learn of their wives' HIV status; (3) economic instability after becoming previously married, leading women to seek financial support through male partners; and (4) the social status of being previously married exposing women to sexual harassment and predation. By also considering seroprevalence of two other common sexually transmitted infections (STIs), herpes and syphilis, in a combined variable with HIV, we limit the likelihood of the first two scenarios accounting for the greater part of this correlation. Through a nuanced analysis of household residences patterns (family structure), standard of living, and education, we also limit the probability that scenario three explains a greater portion of the correlation. Scenario four emerges as the most likely explanation for this correlation, recognizing that other scenarios are also possible. Further, the interdisciplinary literature on the social position of previously married women in India strongly supports the suggestion that, as a population, previously married women are sexually vulnerable in India. Previously married status as an STI risk factor requires further biosocial research and warrants concentrated public health attention. [ABSTRACT FROM AUTHOR]