Literature DB >> 34974468

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

Philip Kreniske1,2, Fred Nalugoda3, Ivy Chen4, Rui Huang4, Ying Wei4, Larry Chang5, Robert Ssekubugu3, Tom Lutalo3, Godfrey Kigozi3, Joseph Kagaayi3, Nelson Sewankambo3, M Kate Grabowski5, Ronald Gray6, David Serwadda7, John Santelli2.   

Abstract

BACKGROUND: Sub-Saharan Africa has the highest HIV incidence and prevalence in the world. In the past decade, mobile phone ownership has doubled, affecting social and sexual practices. Using longitudinal follow-up data, this study examined whether mobile phone ownership was associated with sexual behaviors and HIV incidence for youth and adults.
METHODS: The Rakai Community Cohort Study gathers demographic and sexual health information and conducts HIV testing among an open cohort in southcentral Uganda every 12-18 months.
RESULTS: Of the 10,618 participants, 58% owned a mobile phone, 69% lived in rural locations, and 77% were sexually active. Analyses were adjusted for time, location, religion, and socioeconomic status. Phone ownership was associated with increased odds of ever having had sex act for 15- to 19-year-olds [men adjusted odds ratio (AOR): 2.12, 95% confidence interval (CI): 1.78 to 2.52; women AOR: 3.20, 95% CI: 2.45 to 4.17]. Among sexually active participants, owning a phone was associated with increased odds of having 2 or more concurrent sex partners (15- to 24-year-old men AOR: 1.76, 95% CI: 1.34 to 2.32; 25 to 49-year-old men: AOR 1.81, 95% CI: 1.54 to 2.13; 25- to 49-year-old women AOR: 1.81, 95% CI: 1.32 to 2.49). For men, phone ownership was associated with increased odds of circumcision (15- to 24-year-old men AOR: 1.24, 95% CI: 1.08 to 1.41; 25- to 49-year-old men AOR: 1.12, 95% CI: 1.01 to 1.24). Phone ownership was not associated with HIV incidence.
CONCLUSION: Although mobile phone ownership was associated with sexual risk behaviors, it was not associated with increased risk of HIV acquisition. Research should continue exploring how phones can be used for reducing sexual health risk.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2022        PMID: 34974468      PMCID: PMC8881316          DOI: 10.1097/QAI.0000000000002894

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.771


  25 in total

1.  A randomized controlled trial of the impact of a family planning mHealth service on knowledge and use of contraception.

Authors:  Douglas Johnson; Randall Juras; Pamela Riley; Minki Chatterji; Phoebe Sloane; Soon Kyu Choi; Ben Johns
Journal:  Contraception       Date:  2016-07-13       Impact factor: 3.375

2.  Rising School Enrollment and Declining HIV and Pregnancy Risk Among Adolescents in Rakai District, Uganda, 1994-2013.

Authors:  John Santelli; Sanyukta Mathur; Xiaoyu Song; Tzu Jung Huang; Ying Wei; Tom Lutalo; Fred Nalugoda; Ron H Gray; David M Serwadda
Journal:  Glob Soc Welf       Date:  2015-06

3.  Male circumcision for HIV prevention in men in Rakai, Uganda: a randomised trial.

Authors:  Ronald H Gray; Godfrey Kigozi; David Serwadda; Frederick Makumbi; Stephen Watya; Fred Nalugoda; Noah Kiwanuka; Lawrence H Moulton; Mohammad A Chaudhary; Michael Z Chen; Nelson K Sewankambo; Fred Wabwire-Mangen; Melanie C Bacon; Carolyn F M Williams; Pius Opendi; Steven J Reynolds; Oliver Laeyendecker; Thomas C Quinn; Maria J Wawer
Journal:  Lancet       Date:  2007-02-24       Impact factor: 79.321

4.  Control of sexually transmitted diseases for AIDS prevention in Uganda: a randomised community trial. Rakai Project Study Group.

Authors:  M J Wawer; N K Sewankambo; D Serwadda; T C Quinn; L A Paxton; N Kiwanuka; F Wabwire-Mangen; C Li; T Lutalo; F Nalugoda; C A Gaydos; L H Moulton; M O Meehan; S Ahmed; R H Gray
Journal:  Lancet       Date:  1999-02-13       Impact factor: 79.321

5.  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
Journal:  AIDS Behav       Date:  2020-05

6.  Adolescent girls and young women: key populations for HIV epidemic control.

Authors:  Rachael C Dellar; Sarah Dlamini; Quarraisha Abdool Karim
Journal:  J Int AIDS Soc       Date:  2015-02-26       Impact factor: 5.396

7.  Heterogeneity of the HIV epidemic in agrarian, trading, and fishing communities in Rakai, Uganda: an observational epidemiological study.

Authors:  Larry W Chang; Mary K Grabowski; Robert Ssekubugu; Fred Nalugoda; Godfrey Kigozi; Betty Nantume; Justin Lessler; Sean M Moore; Thomas C Quinn; Steven J Reynolds; Ronald H Gray; David Serwadda; Maria J Wawer
Journal:  Lancet HIV       Date:  2016-07-09       Impact factor: 12.767

Review 8.  Meet us on the phone: mobile phone programs for adolescent sexual and reproductive health in low-to-middle income countries.

Authors:  Nicole B Ippoliti; Kelly L'Engle
Journal:  Reprod Health       Date:  2017-01-17       Impact factor: 3.223

9.  Migration and risk of HIV acquisition in Rakai, Uganda: a population-based cohort study.

Authors:  Oluwasolape Olawore; Aaron A R Tobian; Joseph Kagaayi; Jeremiah M Bazaale; Betty Nantume; Grace Kigozi; Justine Nankinga; Fred Nalugoda; Gertrude Nakigozi; Godfrey Kigozi; Ronald H Gray; Maria J Wawer; Robert Ssekubugu; John S Santelli; Steven J Reynolds; Larry W Chang; David Serwadda; Mary K Grabowski
Journal:  Lancet HIV       Date:  2018-02-25       Impact factor: 12.767

10.  Household wealth and HIV incidence over time, rural Uganda, 1994-2018.

Authors:  John S Santelli; Ivy Chen; Fred Makumbi; Ying Wei; Fred Nalugoda; Tom Lutalo; Esther Spindler; Stephanie A Grilo; Andrea Deisher; Katherine Grabowski; Susie Hoffman; Joseph Kagaayi; Larry W Chang; Ronald Gray; Maria Wawer; David Serwadda
Journal:  AIDS       Date:  2021-09-01       Impact factor: 4.177

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