Library
Sex education
Sex and HIV education programs have multiple goals: to decrease unintended pregnancy, to decrease STDs including HIV and to improve sexual health among youth. In 2005, almost two-thirds (63%) of all high school seniors in the US had engaged in sex, yet only 21% of all female students used birth control pills before their last sex and only 70% of males used a condom during their last sexual intercourse. In 2000, 8.4% of 15-19 year old girls became pregnant, producing one of the highest teen pregnancy rates in the western industrial world. Persons aged 15-24 had 9.1 million new cases of STDs in 2000 and made up almost half of all new STD cases in the US. There are numerous factors affecting adolescent sexual behavior and use of protection. Some of these factors have little to do with sex, such as growing up in disadvantaged communities, having little attachment to parents or failing at school. Other factors are sexual in nature, such as beliefs, values, perceptions of peer norms, attitudes and skills involving sexual behavior and using condoms or contraception. It is these sexual factors that sex/HIV education programs can potentially affect, thereby impacting behavior. Sex/HIV education programs alone cannot totally reduce sexual risk-taking, but they can be an effective part of a more comprehensive initiative.
Application of Weighted Time-Series to Address Bias in Evaluation of Clinic- and Community-Level Research
- To provide the rationale and framework for applying weighted time-series to serial cross-sectional data.
- To use simulation (created data) to apply and test the use of weighted time-series in a setting where the distribution of demographic characteristics and the health status of the population changes over time.
- To use existing clinical data to compare the effect of introducing family-centered HIV care, VCT and prevention services on the transmission of HIV among the families served by participating clinics using cohort analysis, time-series analysis and weighted time-series.
Assessment of Economic Factors Associated with the Psychological Well-Being of HIV+ Persons in Kenya
- Assess and select measures for the degree of variation they exhibit.
- Conduct bivariate measures of association in order to assess unadjusted associations between the psychological well-being measures and those economic factors that demonstrate sufficient variation.
- Conduct logistic or multinomial logistic regressions in order to assess the extent of the relationship between the psychological well-being and the economic factors after accounting for potential confounders and effect modifiers.
Disclosure Intervention for Zimbabwean Parents
HIV Prevention among Township Men Who Have Sex with Men in South Africa
- To describe collective and individual belief systems of low-income township men who have sex with men (MSM) related to their sexuality, sexual health, choice of sexual partners, use of drugs and alcohol, use of condoms, utilization of health services, HIV voluntary counseling and testing (VCT) and disclosure of HIV status, in order to describe prevailing cultural norms around these subjects’ behaviors
- To assess the prevalence of HIV risk factors and HIV infection among MSM from Soweto township.