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Breastfeeding Practices in Morocco (1992-2025): Multicentric Analysis of National Surveys, Meta-Analysis, and Exploration of Key Indicators

2025· article· en· W4410421984 on OpenAlexvenueno aff
Mohamed El Mossaoui, Amina Barkat

Bibliographic record

VenueInternational Journal of Child Health and Nutrition · 2025
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreastfeedingMeta-analysisEnvironmental healthKey (lock)PediatricsPathology

Abstract

fetched live from OpenAlex

Introduction: Breastfeeding is a cornerstone of infant nutrition, playing a crucial role in neonatal health, growth, and maternal-infant bonding. Despite WHO recommendations advocating exclusive breastfeeding for the first six months, breastfeeding practices in Morocco remain suboptimal, with disparities in both initiation and continuation. This study aims to analyze the epidemiology of breastfeeding in Morocco, assess maternal knowledge, and evaluate the effectiveness of national promotion programs while forecasting breastfeeding trends for 2025. Materiel and Methods: A systematic review and meta-analysis were conducted, synthesizing data from 1992 to 2025 across databases including PubMed, ScienceDirect, Scopus, and Google Scholar. National surveys (ENPSF, PAPCHILD) and epidemiological studies were analyzed to determine the prevalence, trends, and determinants of breastfeeding. A linear regression model was applied to estimate the relationship between early breastfeeding initiation and exclusive breastfeeding at six months, with statistical significance assessed using Pearson correlation and p-value analysis. Projections for 2025 were made using predictive epidemiological modeling. Results: The early breastfeeding rate in Morocco remains inconsistent, with significant regional variations and socio-economic disparities. Exclusive breastfeeding rates remain below WHO recommendations, with a projected stagnation at 40.6% by 2025. The correlation between early and exclusive breastfeeding at six months is weak (r=0.36, p=0.759), indicating that additional determinants influence breastfeeding duration. Despite national awareness efforts, maternal knowledge gaps persist, contributing to premature breastfeeding cessation and early introduction of complementary feeding. Discussion: The findings highlight structural and behavioral barriers to sustained breastfeeding, including limited postpartum support, workplace constraints, and aggressive infant formula marketing. The current focus on early breastfeeding promotion may be insufficient to improve exclusive breastfeeding rates. Strengthening maternity leave policies, healthcare professional training, and postpartum follow-up strategies is essential to prevent stagnation in breastfeeding rates. Conclusion: This study underscores the urgent need for comprehensive breastfeeding promotion policies in Morocco, extending beyond initiation efforts to focus on long-term adherence to exclusive breastfeeding. Strengthening healthcare interventions, workplace accommodations, and maternal education programs is essential to achieving WHO’s recommended breastfeeding targets and improving infant health outcomes. Impact and Contribution: This study provides a robust assessment of breastfeeding practices in Morocco by combining epidemiological modeling, national survey data, and predictive analysis. The findings support public health strategies to increase breastfeeding rates, reduce disparities, and enhance maternal and infant nutrition.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.048
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.034
Bibliometrics0.0100.011
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.409
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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