Literature DB >> 31520238

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

Fred Nalugoda1, Philip Kreniske2, Sarah Hofer3, Xiaobo Zhong4, Ying Wei5, Stephanie A Grilo6, Ivy Chen5, Ssebaggala D Kigozi1, Godfrey Kigozi1, Tom Lutalo1,7, Robert Ssekubugu1, Hadijja Nakawooya1, Joseph Kagaayi1, Larry W Chang1,8,9, Maria J Wawer1,8, Ronald H Gray1,8, Qianshu Wang5, John S Santelli6.   

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.

Entities:  

Keywords:  Cell phones; HIV prevalence; Sexual behaviors; Sub-Saharan Africa

Mesh:

Year:  2020        PMID: 31520238      PMCID: PMC7241097          DOI: 10.1007/s10461-019-02665-8

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  28 in total

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2.  HIV risk perceptions and first sexual intercourse among youth in Cape Town South Africa.

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3.  The digital revolution and adolescent brain evolution.

Authors:  Jay N Giedd
Journal:  J Adolesc Health       Date:  2012-08       Impact factor: 5.012

4.  More than just talk: the framing of transactional sex and its implications for vulnerability to HIV in Lesotho, Madagascar and South Africa.

Authors:  Kirsten Stoebenau; Stephanie A Nixon; Clara Rubincam; Samantha Willan; Yanga Zn Zembe; Tumelo Tsikoane; Pius T Tanga; Haruna M Bello; Carlos F Caceres; Loraine Townsend; Paul G Rakotoarison; Violette Razafintsalama
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7.  Behavioral, biological, and demographic risk and protective factors for new HIV infections among youth in Rakai, Uganda.

Authors:  John S Santelli; Zoe R Edelstein; Sanyukta Mathur; Ying Wei; Wenfei Zhang; Mark G Orr; Jenny A Higgins; Fred Nalugoda; Ron H Gray; Maria J Wawer; David M Serwadda
Journal:  J Acquir Immune Defic Syndr       Date:  2013-07-01       Impact factor: 3.731

Review 8.  Sex in the shadow of HIV: A systematic review of prevalence, risk factors, and interventions to reduce sexual risk-taking among HIV-positive adolescents and youth in sub-Saharan Africa.

Authors:  Elona Toska; Marija Pantelic; Franziska Meinck; Katharina Keck; Roxanna Haghighat; Lucie Cluver
Journal:  PLoS One       Date:  2017-06-05       Impact factor: 3.240

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Authors:  Larry W Chang; Ismail Mbabali; Xiangrong Kong; Heidi Hutton; K Rivet Amico; Caitlin E Kennedy; Fred Nalugoda; David Serwadda; Robert C Bollinger; Thomas C Quinn; Steven J Reynolds; Ronald Gray; Maria Wawer; Gertrude Nakigozi
Journal:  Trials       Date:  2017-10-23       Impact factor: 2.279

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Authors:  Jana Daher; Rohit Vijh; Blake Linthwaite; Sailly Dave; John Kim; Keertan Dheda; Trevor Peter; Nitika Pant Pai
Journal:  BMJ Open       Date:  2017-11-03       Impact factor: 2.692

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  4 in total

1.  Brief Report: Mobile Phones, Sexual Behaviors, and HIV Incidence in Rakai, Uganda, From 2010 to 2018.

Authors:  Philip Kreniske; Fred Nalugoda; Ivy Chen; Rui Huang; Ying Wei; Larry Chang; Robert Ssekubugu; Tom Lutalo; Godfrey Kigozi; Joseph Kagaayi; Nelson Sewankambo; M Kate Grabowski; Ronald Gray; David Serwadda; John Santelli
Journal:  J Acquir Immune Defic Syndr       Date:  2022-04-01       Impact factor: 3.771

2.  The Promise and Peril of Mobile Phones for Youth in Rural Uganda: Multimethod Study of Implications for Health and HIV.

Authors:  Philip Kreniske; Alyssa Basmajian; Neema Nakyanjo; William Ddaaki; Dauda Isabirye; Charles Ssekyewa; Rosette Nakubulwa; Jennifer S Hirsch; Andrea Deisher; Fred Nalugoda; Larry W Chang; John S Santelli
Journal:  J Med Internet Res       Date:  2021-02-02       Impact factor: 5.428

3.  Cell Phone Availability and Usage for mHealth and Intervention Delivery to Persons Living With HIV in a Low-Resource Setting: Cross-sectional Study.

Authors:  Julian Adong; Robin Fatch; Nneka Emenyonu; Winnie Muyindike; Christine Ngabirano; Debbie Cheng; Judith Hahn
Journal:  JMIR Form Res       Date:  2022-08-23

4.  Acceptability and feasibility of mobile phone-based ecological momentary assessment and intervention in Uganda: A pilot randomized controlled trial.

Authors:  Laura K Beres; Ismail Mbabali; Aggrey Anok; Charles Katabalwa; Jeremiah Mulamba; Alvin G Thomas; Eva Bugos; Mary K Grabowski; Gertrude Nakigozi; Larry Chang
Journal:  PLoS One       Date:  2022-08-26       Impact factor: 3.752

  4 in total

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