1 / 26

Patterns of Age Mixing and Sexually Transmitted Infections

Patterns of Age Mixing and Sexually Transmitted Infections. Julie Kraut-Becher University of Pennsylvania Sevgi O. Aral Division of STD Prevention, CDC. Age Mixing. Population-level determinant Spread of HIV Africa Gay men Individual-level risk factor Risky behavior

zarifa
Download Presentation

Patterns of Age Mixing and Sexually Transmitted Infections

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Patterns of Age Mixing and Sexually Transmitted Infections Julie Kraut-Becher University of Pennsylvania Sevgi O. Aral Division of STD Prevention, CDC

  2. Age Mixing • Population-level determinant • Spread of HIV • Africa • Gay men • Individual-level risk factor • Risky behavior • Unprotected vaginal sex • Lack of consistent condom use

  3. Age Mixing • Increase STI incidence • Directly • Exposure to partner pools with higher STI prevalence • Indirectly • Partnerships marked by power imbalance • Practice of safer sex is difficult

  4. Objectives • Describe age mixing patterns • Nationally representative sample of reproductive age, sexually-active U.S. women • Relate these patterns to self-reported STI history • STI diagnosis or testing or treatment

  5. Methods • Data • 1995 National Survey of Family Growth (NSFG) • Sample • N = 9,272 sexually-active women 15-44 years of age • Valid birth date information for themselves and their partner

  6. Methods • Age Difference • Computed for current or most recent partnership • Age difference < 0 • Younger male partner • Age difference > 0 • Older male partner

  7. Methods • Assess extent of age mixing • Describe patterns of age mixing • Sociodemographic and socioeconomic characteristics • STI history • Examine association between age mixing and STI test, treatment, and diagnosis • Nationally representative sample • Sample weights

  8. Results

  9. Results

  10. Results

  11. Results

  12. Results

  13. Results

  14. Results

  15. Results

  16. Results

  17. Results • 15-17 year-old females

  18. Results • 18-19 year-old females

  19. Results • 20-24 year-old females

  20. Results • 25-29 year-old females

  21. Results • 30-34 year-old females

  22. Results • 35-39 year-old females

  23. Results • 40-44 year-old females

  24. Limitations • Self reports of STI information • STI diagnoses not temporally defined • Cannot determine the causal nature of association between partnership characteristics and STI

  25. Conclusions • Large extent of age mixing • Age mixing varies over the life course • The effect of age mixing on STI varies over the life course

  26. Conclusions • Future research • Biomarkers vs. self-reports • Specific infections • Race/ethnicity specific • Program • Ask about age mixing with current sex partners • Screening parameter • Target interventions

More Related