Evidence map›Paper›PMID 31520238›Full record

ArticleAIDS and behavior2020

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

Fred Nalugoda, Philip Kreniske, Sarah Hofer, Xiaobo Zhong, Ying Wei, Stephanie A Grilo, Ivy Chen, Ssebaggala D Kigozi, Godfrey Kigozi, Tom Lutalo and 8 more

Open access · greenAbstract read
In one paragraph

Article in AIDS and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Fred NalugodaRakai Health Sciences Program, Kalisizo, Uganda.
Philip KreniskeHIV Center for Clinical and Behavioral Studies, New York State Psychiatric Institute and Columbia University, New York, NY, USA. pk2361@columbia.edu.ORCID http://orcid.org/0000-0002-1540-0651
Sarah HoferDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Xiaobo ZhongIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Ying WeiDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Stephanie A GriloHeilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA.
Ivy ChenDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Ssebaggala D KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Godfrey KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Tom LutaloRakai Health Sciences Program, Kalisizo, Uganda.
Robert SsekubuguRakai Health Sciences Program, Kalisizo, Uganda.
Hadijja NakawooyaRakai Health Sciences Program, Kalisizo, Uganda.
Joseph KagaayiRakai Health Sciences Program, Kalisizo, Uganda.
Larry W ChangRakai Health Sciences Program, Kalisizo, Uganda.
Maria J WawerRakai Health Sciences Program, Kalisizo, Uganda.
Ronald H GrayRakai Health Sciences Program, Kalisizo, Uganda.
Qianshu WangDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
John S SantelliHeilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA.
Rakai Health Sciences Program · UGColumbia University · USJohns Hopkins University · USIcahn School of Medicine at Mount Sinai · USNew York Psychoanalytic Society and Institute · US

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
INSPIRE : Interdisciplinary Social and Behavioral Science Prevention and Intervention REsearch in HIVT32MH019139 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Claude Ann Mellins, Jae M. Sevelius · 1989 to 2026
$10.8M
Structural and Social Transitions Among Adolescents in Rakai (SSTAR)R01HD091003 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SANTELLI, JOHN S. · 2017 to 2021
$3.7M
National Institute of Child Health and Human Development R01HD091003NICHD NIH HHS R01 HD091003NIMH NIH HHS P30 MH043520NIMH NIH HHS P30-MH43520NIMH NIH HHS T32 MH019139NIMH NIH HHS T32MH019139
6 · The paper itself

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.

Indexed as

Cell PhoneHIV InfectionsSexual BehaviorAdolescentAdultCohort StudiesCross-Sectional StudiesFemaleHumansMalePrevalenceSexual PartnersUgandaYoung AdultCell phonesHIV prevalenceSexual behaviorsSub-Saharan Africa

Identifiers

PMID31520238
PMCPMC7241097
OpenAlexW2972683435

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.