1 / 19

Changes in Sex Networks and Repeat STDs among Male Adolescents and Young Adults

Changes in Sex Networks and Repeat STDs among Male Adolescents and Young Adults. Jonathan M Ellen 1 , Charlotte Gaydos 1 , Michelle Chung 1 , Nancy Willard 1 , Cornelius A Rietmeijer 2 1 Johns Hopkins School of Medicine 2 Denver Public Health Department. Background.

yazid
Download Presentation

Changes in Sex Networks and Repeat STDs among Male Adolescents and Young Adults

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. Changes in Sex Networks and Repeat STDs among Male Adolescentsand Young Adults Jonathan M Ellen1, Charlotte Gaydos1, Michelle Chung1, Nancy Willard1, Cornelius A Rietmeijer2 1Johns Hopkins School of Medicine 2Denver Public Health Department

  2. Background • Individuals with repeat infection are believed to play a greater role in maintaining endemic rates STIs • Identification of individuals at increased risk for repeat infection could trigger specific interventions • Studies have failed to identify predictors of repeat GC and CT beyond race/ethnicity, age, and geography

  3. Initial vs. Repeat Infection • Correlates of initial GC/CT • Condom use • Rate of sex partner turnover • Sex partners’ networks (local networks) • Correlates of repeat GC/CT • Changes in correlates of initial STI after initial STI • Little evidence that there are changes condom use • If current sex partners treated, having a new partner may be protective or risky depending on their network

  4. Sex Networks • Prevalence of STI in local sex networks correlated with risk of STI of members • Local sex networks vary in their prevalence of STI • Individuals may migrate in and out of sex networks • Sex networks are closely linked to social networks • Could target social networks along with sex networks for control activties

  5. Objectives • To determine whether decrease in the percentage of sex partners who are within the index’s social network is associated with decrease risk for repeat GC and/or CT among those with new partners.

  6. Methods • Longitudinal research study • Asymptomatic CT- and GC-infected boys 13-25 years old from the non-detention venues in Baltimore City and Denver, CO • Participants interviewed and sex contacts notified • Re-interviewed and tested for GC/CT at 1 month and 4 months

  7. Participant Interview • Asked about each partner including • New partners since last interview • Old partners mentioned at other interviews • Queried about their perceptions of their partners drug and sex behaviors and their link to social networks • Egocentric data

  8. Number of Interval Sex Partners in Social Network Number of Total Interval Sex Partners X 100 Social and Sex Network Overlap • Each sex partner was coded as within participants’ social network or not within social network • Defined as within network if any: • Met through close friends • More than ½ of friends knew • Friends had sex with partner • Partner knew any of other sex partners • Percentage of sex partners within social network

  9. Analysis • Independent variables • New partner since last interview • Change in percentage overlap since last interview • Between baseline and 1 month interview • Between 1 month and 4 month interview • Dependent variable • GC/CT diagnosis at end of interval • Logistic regression and GEE • Analysis stratified by city

  10. Participants

  11. Recruitment Venues

  12. Overall:STD by New Partner (N=209 visits)

  13. Baltimore:STD by New Partner (71 visits)

  14. Denver:STD by New Partner (138 visits)

  15. Baltimore:STD by Change in Overlap (30 visits)* * Among those with a new partner

  16. Denver:STD by Change in Overlap (38 visits)* * Among those with a new partner

  17. Limitations • Lack of validated definition of social and sex network overlap • Relies on perceptions of partners behaviors • Small sample size

  18. Conclusion • Failure to replicate Baltimore findings in Denver may be due to differences in populations, extent of DIS activity, or limitations of study • To the extent that future studied replicate Baltimore findings, preventive treatment of social networks may reduce repeat infection among adolescents and young adults

  19. Funding • Centers for Disease Control and Prevention, Division of STD Prevention

More Related