Evidence map›Paper›PMID 41310680›Full record

SynthesisInternational breastfeeding journal2025

Determinants of exclusive breastfeeding in Tanzania: a systematic review and meta-analysis.

Mariam Noorani, Rukhsar Osman, Muzdalifat Abeid, Jai Das, Zulfiqar Bhutta

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in International breastfeeding journal, 2025. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mariam NooraniDepartment of Paediatrics, Aga Khan University, Dar es Salaam, Tanzania. mariam.noorani@aku.edu.
Rukhsar OsmanDepartment of Paediatrics, Aga Khan University, Dar es Salaam, Tanzania.
Muzdalifat AbeidDepartment of Obstetrics and Gynaecology, Aga Khan University, Dar es Salaam, Tanzania.
Jai DasInstitute for Global Health & Development, Aga Khan University South-Central Asia, East Africa and United Kingdom, Karachi, Pakistan.
Zulfiqar BhuttaInstitute for Global Health & Development, Aga Khan University South-Central Asia, East Africa and United Kingdom, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExclusive breastfeeding (EBF) is a critical intervention for reducing childhood morbidity and mortality, yet global EBF rates remain below targets. In Tanzania, EBF rates vary widely across regions, with reported disparities influenced by individual, familial, and health system factors. Despite increasing national prevalence rates of EBF from 41% in 2005 to 64% in 2022, localized studies show lower prevalence ranging from 20 to 30%, highlighting the need for a comprehensive synthesis of evidence on the determinants of EBF to inform policy in Tanzania.

methodsWe searched PubMed, Scopus, and CINAHL for peer-reviewed studies from 2014 to 2024 assessing EBF determinants among Tanzanian infants aged less than 6 months. Data was critically appraised using Joanna Briggs Institute tools, and synthesized via random-effects meta-analysis to pool the Odds Ratios of determinants of EBF. The review is registered with PROSPERO: CRD42024566722

resultsA total of 183 studies were identified and 130 underwent title and abstract screening. Fourteen were retrieved for full text screening and 11 met inclusion criteria and were included for analysis. Four studies were among HIV positive mothers and six studies were from Northern Tanzania. Meta analysis of 14 determinants revealed that married/cohabiting mothers had significantly higher odds of EBF (OR 1.63, 95% CI: 1.12,2.36) compared to single mothers. Sub-group analysis among HIV positive mothers showed that employed mothers had higher odds of EBF (OR 1.37, 95% CI: 1.10,1.72).

conclusionMarital status is a key determinant of EBF in Tanzania, underscoring the role of interpersonal and household support. To accelerate progress toward the 70% EBF target, targeted lactation support should be given to the vulnerable groups including single mothers. At national level, interventions should address regional disparities, engage families and communities in breastfeeding education and strengthen infant feeding counselling for HIV positive mothers. Future research should expand coverage to understudied regions and employ qualitative approaches and longitudinal designs to strengthen the evidence base.

Indexed as

Breast FeedingMothersFemaleHumansInfantInfant, NewbornTanzaniaDeterminantsExclusive breastfeedingFactorsInfantsMeta-analysisSystematic reviewTanzania

Identifiers

PMID41310680
PMCPMC12751446

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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.