SynthesisInternational breastfeeding journal2025
Predictors of exclusive breastfeeding: a systematic review and meta-analysis.
Synthesis in International breastfeeding journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Digital Health Interventions on Breastfeeding Rates, Self-Efficacy, and Knowledge: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Three Decades of Socioeconomic Inequality in India's Breastfeeding Indicators, 1993-2021.Maternal & child nutrition · 2026Article
- Article
- Predictors of Exclusive Breastfeeding Amongst Mothers Living With HIV in Sub-Saharan Africa: A Scoping Review.Health science reports · 2026Article
- Transactional Associations Between Bottle to Bed and Infant Sleep Problems Over the First Year.Journal of sleep research · 2026Article
- Assessing the causal relationship between women's empowerment and exclusive breastfeeding practices among women of reproductive age in Bangladesh using BDHS 2022 survey data.International breastfeeding journal · 2026Article
- WHO exclusive breastfeeding recommendation and cognitive development in Germany.Scientific reports · 2026Article
- Supporting Breastfeeding in Early Childhood Education and Care Settings in Italy: A Relational and Cultural Analysis of Maternal and Educator Perspectives.Children (Basel, Switzerland) · 2026Article
- Factors Related to Pregnancy and Childbirth and Their Relationship with Exclusive Breastfeeding-A Cross-Sectional Study.Nutrients · 2026Article
- Explainable machine learning model to predict 6-month exclusive breastfeeding: a prospective cohort study in Jiangsu, China.BMC pregnancy and childbirth · 2026Article
- Effect of Nipple Shield Use on Exclusive Breastfeeding up to 6 Months in Mothers with Nipple Abnormalities: A Randomized Controlled Trial.International journal of women's health · 2026Article
- Predictors of impaired growth during the first year of life: findings from a longitudinal cohort study in Pakistan.Frontiers in nutrition · 2026Article
- Commentary on methodological rigor in "Predictors of exclusive breastfeeding: a systematic review and meta-analysis".International breastfeeding journal · 2025Article
- Factors associated with successful exclusive breastfeeding among mothers in the formal sector: a mixed-method study in Kampala, Uganda.International breastfeeding journal · 2025Article
- Factors Influencing Exclusive Breastfeeding During the Postpartum Period: A Mixed-Methods Study.Nutrients · 2025Article
- Breastfeeding and Sociodemographic Determinants: Evidence from the "MAMI-MED" Cohort.Nutrients · 2025Article
- The Effectiveness of Online Versus Group Prenatal Education on Breastfeeding Determinants and Outcomes in Nulliparous Women: A Prospective Cohort Study.Journal of midwifery & women's healthArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast milk is the ideal and complete food for infants. Demographic, social, economic and clinical factors affect exclusive breastfeeding (EBF). Identifying and understanding these factors can improve breastfeeding success. This study systematically reviews and analyzes the predictors of EBF.
methodsThis study is a systematic review and meta-analysis. we searched electronic databases including PubMed/MEDLINE, Web of Science, PsycINFO, Cochrane, Scopus, EMBASE, Google Scholar, SID, and Magiran. we examined articles published between 2000 to 2023 using keywords like "risk factors", "related factors", "predictive factors", "exclusive breastfeeding ", and "women". The review included observational studies. Two reviewers independently selected the studies extracted data. Quality assessment was based on the Newcastle-Ottawa Scale. The association between predictive factors and breastfeeding was combined in a meta-analysis using a restricted maximum likelihood method (REML). Heterogeneity was quantified using I
resultThirty eight articles were included in this review. Predictive factors in EBF were categorized into seven groups: mother's awareness of breastfeeding benefits, support received in breastfeeding and child-rearing, early breastfeeding after birth, mother's education level, annual income, mother's age, and prenatal care. Nineteen articles with a sample size of 70,183 were included in the meta-analysis. Results showed that a mother's awareness of breastfeeding benefits increases the odds of EBF by 2.70 times, support in child-rearing by 2.57 times, early breastfeeding (< 24 h) by 1.853 times, higher education level by 1.44 times, self-efficacy by 1.067, multiparity ≥ 2 by 1.50 times, having upper-middle annual income was associated with 28.3% higher than odds of EBF (95% CI 1.68, 1.54), female sex of infant by 1.07 times, and one to three antenatal visits by 0.108 times, (95% CI 1.27, 4.18). In normal vaginal delivery (NVD), the odds increased 2.22 fold, all statistically significant (95% CI 0.91, 5.43).
conclusionThe maternal awareness of the benefits of breastfeeding, maternal support, early breastfeeding, high education level, and improved family economic conditions are associated with EBF. Therefore, improving the educational, social, and economic levels of mothers improves EBF. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42023483049.
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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.