Evidence map›Paper›PMID 42719590›Full record

ArticleHealth science reports2026

Predictors of Exclusive Breastfeeding Amongst Mothers Living With HIV in Sub-Saharan Africa: A Scoping Review.

Lydia Ives, Xinyi Ji, Mojisola Deborah Kupolati, Angel Macia Khoza, Phumudzo Tshiambara

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Article in Health science reports, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lydia IvesWell Being Africa Pretoria South Africa.ORCID https://orcid.org/0009-0008-8921-9987
Xinyi JiWell Being Africa Pretoria South Africa.
Mojisola Deborah KupolatiWell Being Africa Pretoria South Africa.ORCID https://orcid.org/0000-0001-7211-0231
Angel Macia KhozaWell Being Africa Pretoria South Africa.
Phumudzo TshiambaraDepartment of Human Nutrition, Faculty of Health Sciences University of Pretoria Pretoria South Africa.ORCID https://orcid.org/0000-0002-8271-8192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Exclusive breastfeeding (EBF) reduces infant mortality and HIV vertical transmission (VT). The 2016 World Health Organisation (WHO) guidelines recommend 6 months of EBF for mothers living with HIV (MLWH) on antiretroviral therapy, yet uptake in sub-Saharan Africa (SSA) remains low, and evidence on predictors is fragmented. This scoping review synthesised quantitative evidence on predictors of EBF among MLWH in SSA since the 2016 WHO guidelines, identifying geographic gaps and methodological trends to guide research and policy. Methods: Following Joanna Briggs Institute methodology and PRISMA-ScR reporting, five databases, PubMed, EMBASE, Web of Science, Scopus, and Global Health, were searched for studies conducted from 2016 onwards that quantitatively assessed predictors of EBF among MLWH in SSA. Included studies were descriptively synthesised and mapped by geography, frequency, association, and analysis type. Quality appraisal used the Mixed Methods Appraisal Tool 2018. Results: 19 studies met inclusion criteria. Positive predictors included healthcare engagement, knowledge, favourable attitudes, and HIV-status disclosure. Negative/mixed predictors included employment, education, and pregnancy complications. Studies were geographically skewed (42% from Ethiopia), largely cross-sectional (74%), and facility-based. Psychosocial, socioeconomic, and biological/clinical barriers remain underexplored. Conclusions: Evidence on EBF predictors among MLWH in SSA remains limited, geographically uneven, and methodologically restricted. Future research should adopt longitudinal, intervention-focused, and contextually diverse designs to inform scalable, culturally responsive strategies for improving EBF and preventing HIV VT.

Indexed as

antiviral agentsbreastfeedingHIVinfantnutritionpostnatal careSub‐Saharan Africa

Identifiers

PMID42719590
PMCPMC13555278

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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.