Evidence map›Paper›PMID 41549222›Full record

ArticleAIDS and behavior2026

Accelerating HIV Prevention in Cameroon: Factors Associated with Sexual Risk Behaviours and Increased HIV Exposure Among 15-19-Year-Old Adolescent Girls.

Ololade Julius Baruwa, Elona Toska, Boladé Hamed Banougnin, Rita Tamambang, Dineo Sekgobela, Pertina Nyamukondiwa, Jane Ferguson, Rachel Yates, Brendan Maughan-Brown

Abstract read
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Article in AIDS and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ololade Julius BaruwaCentre for Social Science Research, University of Cape Town, Cape Town, 7701, South Africa.ORCID http://orcid.org/0000-0002-0776-528X
Elona ToskaCentre for Social Science Research, University of Cape Town, Cape Town, 7701, South Africa. Elona.Toska@uct.ac.za.
Boladé Hamed BanougninUnited Nations Population Fund, West and Central Africa Region Office, Dakar, Senegal.
Rita TamambangCentre for Child and Adolescent Mental Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Dineo SekgobelaCentre for Social Science Research, University of Cape Town, Cape Town, 7701, South Africa.
Pertina NyamukondiwaCentre for Social Science Research, University of Cape Town, Cape Town, 7701, South Africa.
Jane FergusonIndependent Consultant, Geneva, Switzerland.
Rachel YatesDepartment of Social Policy and Intervention, University of Oxford, Oxford, United Kingdom.
Brendan Maughan-BrownSouthern Africa Labour and Development Research Unit, University of Cape Town, Cape Town, 7701, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescent girls in Cameroon face substantial sexual and reproductive health vulnerabilities that heighten their risk of HIV exposure. Using data from 2,586 adolescent girls aged 15-19 years from the 2017-18 Cameroon Population-based HIV Impact Assessment, we examined factors associated with multiple sexual partnerships, age-disparate sex, inconsistent condom use, transactional sex, and a composite measure of high-risk sex. Overall, 4.31% reported multiple partners, 25.18% engaged in age-disparate sex, 27.06% reported inconsistent condom use, 3.91% engaged in transactional sex, and 19.61% exhibited high-risk sexual behaviours. In multivariable analyses, marriage or cohabitation was strongly associated with age-disparate sex (aOR = 8.57, 95% CI = 5.84-12.56; p < 0.001) and inconsistent condom use (aOR = 10.07, 95% CI = 6.98-14.53; p < 0.001). Adolescent motherhood was associated with high-risk sex (aOR = 1.71, 95% CI = 1.14-2.55; p = 0.011). School non-enrolment was associated with inconsistent condom use (aOR = 1.76, 95% CI = 1.31-2.37; p = 0.001). Predicted probabilities showed that unmarried, non-mothers who initiated sex later had the lowest probability of high-risk sex (8%), whereas married adolescent mothers with early sexual debut had the highest (72%). These findings underscore the need for combination HIV prevention programming that prioritises married adolescents, adolescent mothers, out-of-school girls, and those initiating sex early. Delaying sexual debut, preventing adolescent motherhood and child marriage, and strengthening age-appropriate, context-specific interventions may substantially reduce HIV exposure among adolescent girls in Cameroon.

Indexed as

Adolescent BehaviorCondomsHIV InfectionsRisk-TakingSexual BehaviorSexual PartnersUnsafe SexAdolescentCameroonCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansRisk FactorsYoung AdultAdolescent girlsHigh-risk sexHIV and sexual risk behavioursHIV exposureInconsistent condom useTransactional sex

Identifiers

PMID41549222
PMCPMC13400698

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LicenceCC BY
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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.