Abstract
Factors associated with prevalent and incident HIV infection were compared among sexually experienced Ugandans aged 15–24. Most factors were similar. However, in women, older age and current marriage were associated with prevalent, but not incident, infection. It is important to recognize the limitations of prevalence analyses for identifying at-risk youth.
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References
UNAIDS. Global Report; UNAIDS report on the global AIDS epidemic 2013. Geneva, Switzerland: UNAIDS; 2013.
UNAIDS. Young people are leading the HIV prevention revolution. Geneva, Switzerland: UNAIDS; 2010.
Napierala Mavedzenge SM, Doyle AM, Ross DA. HIV prevention in young people in Sub-Saharan Africa: a systematic review. J Adol Health 2011;49(6):568–86.
Rothman KJ, Greenland S. Mod Epidemiol. Philadelphia: Lippincott-Raven; 1998.
Braunstein SL, van de Wijgert J, Nash D. HIV incidence in sub-Saharan Africa: a review of available data with implications for surveillance and prevention planning. AIDS Rev 2009;11(3):140–56.
Santelli J, Edelstein ZR, Mathur S. Behavioral, biological, and demographic risk factors for new HIV infections among youth, Rakai. Uganda J Acquir Immune Defic Syndr 2013;63(3):393–400.
Ahmed S, Lutalo T, Wawer M. HIV incidence and sexually transmitted disease prevalence associated with condom use: a population study in Rakai. Uganda AIDS 2001;15(16):2171–9.
Barros A, Hirakata V. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 2003;3(1):21, October 20.
Nalugoda F, Guwatudde D, Bwaninka JB. Marriage and risk of HIV infection in Rakai. Uganda J Acquir Immune Defic Syndr 2014;61(1 ):91–8.
Marks G, Crepaz N, Senterfitt JW, Janssen RS. Meta-Analysis of high-risk sexual behavior in persons aware and unaware they are infected with HIV in the United States: implications for HIV prevention programs. J Acquir Immune Defic Syndr 2005;39(4):446–53.
Mullis C, Munshaw S, Grabowski M. Differential specificity of HIV incidence assays in HIV subtypes A and D-infected individuals from Rakai, Uganda. AIDS Res Hum Retroviruses 2013;29(8):1146 50. August.
Hallett T, Ghys P, Barnighausen T, Yan P, Garnett G. Errors in ‘BED’-derived estimates of HIV incidence will vary by place, time and age. PLoS One 2009;4(5):e5720.
US Department of State, Office of the Global AIDS Coordinator. PEPFAR Blueprint: Creating an AIDS-free Generation 2012.
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Edelstein, Z.R., Santelli, J.S., Helleringer, S. et al. Factors associated with incident HIV infection versus prevalent infection among youth in Rakai, Uganda. J Epidemiol Glob Health 5, 85–91 (2015). https://doi.org/10.1016/j.jegh.2014.09.003
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DOI: https://doi.org/10.1016/j.jegh.2014.09.003