A study published in BMCWomensHealth presents a sex-specific predictive model that identifies factors associated with HIV incidence among women.
After the analytic sample was chosen, we examined the following variables: sociodemographic variables, including race, ethnicity, age, education level, and zip code; behavioral information, including self-reported gender of sexual partners, condom use, and being sexually active; infectious disease information, including diagnosis with hepatitis C and diagnoses of chlamydia, gonorrhea, or syphilis ), and HIV testing.
After matching by site and number of encounters, the analytic sample contained 240 women. These women were mostly African American/Black , non-Hispanic/Latina , and from either the West or the South sides of Chicago . Most women did not have information on their educational attainment ; however, the most commonly reported level was some college education .
In our sample, African American/Black women had nearly five times the odds of being newly diagnosed with HIV compared to white women ). Women who were of Hispanic or Latina heritage had lower odds of being newly diagnosed with HIV versus those who were not Hispanic/Latina ), although this result was not statically significant. Pregnant women had nearly twice the odds of acquiring HIV than those who were not pregnant ).
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