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Published in: AIDS and Behavior 5/2020

01-05-2020 | Human Immunodeficiency Virus | Original Paper

Cell Phones, Sexual Behaviors and HIV Prevalence in Rakai, Uganda: A Cross Sectional Analysis of Longitudinal Data

Authors: Fred Nalugoda, Philip Kreniske, Sarah Hofer, Xiaobo Zhong, Ying Wei, Stephanie A. Grilo, Ivy Chen, Ssebaggala D. Kigozi, Godfrey Kigozi, Tom Lutalo, Robert Ssekubugu, Hadijja Nakawooya, Joseph Kagaayi, Larry W. Chang, Maria J. Wawer, Ronald H. Gray, Qianshu Wang, John S. Santelli

Published in: AIDS and Behavior | Issue 5/2020

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Abstract

Cell phones have increased communication and connection across the globe and particularly in sub-Saharan Africa—with potential consequences for the HIV epidemic. We examined the association among ownership of cell phones, sexual behaviors (number of sexual partners, alcohol use before sex, inconsistent condom use), and HIV prevalence. Data were from four rounds (2010–2016) of the Rakai Community Cohort Study (N = 58,275). Sexual behaviors and HIV prevalence were compared between people who owned a cell phone to people who did not own a cell phone. We stratified analysis by younger (15–24 years) and older (25+ years) age groups and by gender. Using logistic regression and after adjusting for sociodemographic characteristics, we found cell phone ownership was independently associated with increased odds of having two or more sexual partners in the past 12 months across age and gender groups (young men AOR 1.67, 95% CI 1.47–1.90; young women AOR 1.28 95% CI 1.08–1.53; older men AOR 1.54 95% CI 1.41–1.69; older women AOR 1.44 95% CI 1.26–1.65). Interestingly, young men who owned cell phones had decreased odds of using condoms inconsistently (AOR 0.66, 95% CI 0.57–0.75). For young women, cell phone ownership was associated with increased odds of using alcohol before sex (AOR 1.38 95% CI 1.17–1.63) and increased odds of inconsistent condom use (AOR 1.40, 95% 1.17–1.67). After adjusting for sociodemographic characteristics, only young women who owned cell phones had increased odds of being HIV positive (AOR 1.27 95% CI 1.07–1.50). This association was not mediated by sexual behaviors (Adjusted for sociodemographic characteristics and sexual behaviors AOR 1.24, 95% CI 1.05–1.46). While cell phone ownership appears to be associated with increased HIV risk for young women, we also see a potential opportunity for future cell phone-based health interventions.
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Literature
8.
go back to reference Dellar RC, Dlamini S, Karim QA. Adolescent girls and young women: key populations for HIV epidemic control. J Int AIDS Soc. 2015;18(2 Suppl 1):19408.CrossRef Dellar RC, Dlamini S, Karim QA. Adolescent girls and young women: key populations for HIV epidemic control. J Int AIDS Soc. 2015;18(2 Suppl 1):19408.CrossRef
10.
go back to reference Pettifor AE, Rees HV, Kleinschmidt I, et al. Young people’s sexual health in South Africa: HIV prevalence and sexual behaviors from a nationally representative household survey. AIDS. 2005;19(14):1525–34.CrossRef Pettifor AE, Rees HV, Kleinschmidt I, et al. Young people’s sexual health in South Africa: HIV prevalence and sexual behaviors from a nationally representative household survey. AIDS. 2005;19(14):1525–34.CrossRef
25.
go back to reference Uganda Bureau of Statistics. National population and housing census 2014: main report. Uganda: Kampala; 2016. Uganda Bureau of Statistics. National population and housing census 2014: main report. Uganda: Kampala; 2016.
26.
go back to reference Chang LW, Grabowski MK, Ssekubugu R, et al. Heterogeneity of the HIV epidemic in agrarian, trading, and fishing communities in Rakai, Uganda: an observational epidemiological study. Lancet HIV. 2016;3(8):e388–96.CrossRef Chang LW, Grabowski MK, Ssekubugu R, et al. Heterogeneity of the HIV epidemic in agrarian, trading, and fishing communities in Rakai, Uganda: an observational epidemiological study. Lancet HIV. 2016;3(8):e388–96.CrossRef
28.
go back to reference Wawer MJ, Gray RH, Sewankambo NK, et al. A randomized, community trial of intensive sexually transmitted disease control for AIDS prevention, Rakai, Uganda. AIDS Lond Engl. 1998;12(10):1211–25.CrossRef Wawer MJ, Gray RH, Sewankambo NK, et al. A randomized, community trial of intensive sexually transmitted disease control for AIDS prevention, Rakai, Uganda. AIDS Lond Engl. 1998;12(10):1211–25.CrossRef
29.
go back to reference Wawer MJ, Sewankambo NK, Serwadda D, et al. Control of sexually transmitted diseases for AIDS prevention in Uganda: a randomised community trial. Rakai Project Study Group. Lancet. 1999;353(9152):525–35.CrossRef Wawer MJ, Sewankambo NK, Serwadda D, et al. Control of sexually transmitted diseases for AIDS prevention in Uganda: a randomised community trial. Rakai Project Study Group. Lancet. 1999;353(9152):525–35.CrossRef
35.
go back to reference Stark L. Transactional sex and mobile phones in a Tanzanian slum. Suom Antropol J Finn Anthropol Soc. 2013;38(1):12–36. Stark L. Transactional sex and mobile phones in a Tanzanian slum. Suom Antropol J Finn Anthropol Soc. 2013;38(1):12–36.
Metadata
Title
Cell Phones, Sexual Behaviors and HIV Prevalence in Rakai, Uganda: A Cross Sectional Analysis of Longitudinal Data
Authors
Fred Nalugoda
Philip Kreniske
Sarah Hofer
Xiaobo Zhong
Ying Wei
Stephanie A. Grilo
Ivy Chen
Ssebaggala D. Kigozi
Godfrey Kigozi
Tom Lutalo
Robert Ssekubugu
Hadijja Nakawooya
Joseph Kagaayi
Larry W. Chang
Maria J. Wawer
Ronald H. Gray
Qianshu Wang
John S. Santelli
Publication date
01-05-2020
Publisher
Springer US
Published in
AIDS and Behavior / Issue 5/2020
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-019-02665-8

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