Evidence map›Paper›PMID 41543669›Full record

ArticleAIDS and behavior2026

Sexual Relationship Typologies, Multilevel Determinants, and HIV Among Adolescent Mothers in Eastern and Southern Africa: A Multilevel Latent Class Analysis.

Luwam T Gebrekristos, Allison K Groves, Marie C D Stoner, Alex Ezeh, Félice Lê-Scherban

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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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5 · Who and what money

Authors and funding

5 authors.

Luwam T GebrekristosDepartment of Epidemiology and Biostatistics, Drexel University, 3215 Market Street, Philadelphia, PA, 19140, USA. lg526@drexel.edu.ORCID http://orcid.org/0000-0002-2721-9382
Allison K GrovesDepartment of Community Health and Prevention, Drexel University, Philadelphia, PA, USA.
Marie C D StonerWomen's Global Health Imperative, RTI International, Berkeley, CA, USA.
Alex EzehDepartment of Community Health and Prevention, Drexel University, Philadelphia, PA, USA.
Félice Lê-ScherbanDepartment of Epidemiology and Biostatistics, Drexel University, 3215 Market Street, Philadelphia, PA, 19140, USA.

Funding

Integrating spatial and non-spatial data to examine multilevel drivers of HIV risk among adolescent mothers in sub-Saharan AfricaF31HD111353 · NICHD · DREXEL UNIVERSITY · PI GEBREKRISTOS, LUWAM T · 2023 to 2024
$74k
CGH CDC HHS U2G GH001226Eunice Kennedy Shriver National Institute of Child Health and Human Development F31HD111353NICHD NIH HHS F31 HD111353U.S. President's Emergency Plan for AIDS Relief U2GGH001226 and U2GGH002173
6 · The paper itself

Abstract

In Eastern and Southern Africa (ESA), there is heterogeneity within adolescent mothers' (AMs') sexual relationships. However, existing studies focus on single relationship characteristics, even though these characteristics do not operate in isolation. Moreover, no studies have examined multilevel predictors of AMs' relationships. Identifying and characterizing typologies by multilevel factors can inform targeted interventions to lower HIV risk. Data are from the Population-based HIV impact Assessment (PHIA) Project on AMs (15-19 years) from 9 ESA countries (N = 2,761). We conducted multilevel latent class analysis to identify relationship typologies at the AM and community (PHIA cluster) levels, multinomial logistic regression to characterize typologies by multilevel predictors, and multivariable generalized estimating equations (GEE) log-binomial regression to calculate prevalence ratios of HIV for relationship typologies. There were 3 typologies: married with minimal transactional sex (61%), unmarried peer partnership (30%), and working and high transactional sex (9%). Individual-level (i.e., age, school enrollment, low-wealth household, number of sexual partners) and community-level factors (i.e., urbanicity and proportion of low-wealth households) were associated with typologies. Married with minimal transactional sex was associated with a 51% lower HIV prevalence compared to the unmarried peer partnership (adjusting for multilevel factors). We also identified 2 PHIA cluster-level classes: high age-disparate marriage (49%) and low marriage (51%). Low-wealth communities had higher odds of being high age-disparate marriage communities. Results suggest that AMs' relationships fall into 3 distinct typologies and 2 community-level classes. Further, HIV prevalence varies across relationship typologies. Utilizing tailored approaches could optimize interventions that reduce AMs' HIV risk in ESA.

Indexed as

HIV InfectionsMothersSexual BehaviorSexual PartnersAdolescentAfrica, EasternAfrica, SouthernFemaleHumansLatent Class AnalysisMultilevel AnalysisPrevalenceRisk FactorsSocioeconomic FactorsYoung AdultAdolescent mothersEastern and southern africaHIVMultilevel driversMultilevel latent class analysisSexual relationships

Identifiers

PMID41543669
PMCPMC13400485

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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.