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HIV sexual risk behaviors in youth 15-24 years of age in Cali, Colombia: Do differences exist among neighborhoods? | LitMetric

HIV sexual risk behaviors in youth 15-24 years of age in Cali, Colombia: Do differences exist among neighborhoods?

Colomb Med (Cali)

Universidad del Valle, FES Foundation, School of Public Health, Cali., Division of Health, FES Foundation, Cali; School of Public Health, Universidad del Valle, Cali. E-mail:,

Published: April 2013

AI Article Synopsis

  • HIV/AIDS remains a significant global health issue, especially among heterosexual youth, with specific districts in Cali, Colombia showing high prevalence rates.
  • A study aimed at investigating risk behaviors associated with HIV among young individuals (15-24 years) found high rates of unprotected sex and substance use during sexual activity in urban districts.
  • The findings indicate that socio-demographic factors, intentions, and personal beliefs contribute to these risky behaviors, suggesting a need for targeted interventions to address local factors influencing HIV risk.

Article Abstract

Introduction: HIV/AIDS is a global health priority. About 40% of new infections occur among heterosexual youth by means of sexual contact. In Cali, district 13, 15 and 20 account for 11.5% of the prevalent cases and 18.0% of incident cases.

Objective: To establish differences in risk behaviors for HIV among young people 15-24 yrs of age from two areas of Cali, Colombia.

Methods: We carried out a cross-sectional study among young people between 15 and 24 yrs of age in these districts. The selection was done with a two-stage probability sampling. We estimated the prevalence of sexual relationships without condom usage, sex with multiple partners, and sex under the effects of alcohol and through logistical regression we identified the related factors.

Results: In district 13, 15 and 20, the prevalence of unprotected sexual relationships in the last 12 months and the prevalence of sex with two or more partners was 70%; and 38% of young people had sex under the effects of alcohol. In both areas, the intention was positively related to the risk behaviors. We found socio-demographic factors, intentions, and beliefs that increase the opportunity to display these behaviors. The effect of these factors differs by district.

Conclusions: We observed a high prevalence of risk behaviors for HIV related to socio-demographic factors, intentions and beliefs that warrant interventions appropriate for local realities.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4002023PMC

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