Complementary Feeding Practices and Weaning Practices in Morocco: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Introduction: Complementary feeding represents a crucial phase in an infant's developmental journey. Inadequate implementation, marked by an imbalance in both quantity and quality, can lead to varying degrees of nutritional disorders, whether from excess or deficiency. Study Objectives and Methods: Conducted from December 2023 to February 2024, this research aims to assess the weaning age and the age of initiating dietary diversification among Moroccan infants. Additionally, it seeks to scrutinize specific nutritional practices and behaviors within the Moroccan infant population. Our methodology involved an extensive bibliographic search using databases such as PubMed, Science Direct, Scopus, and Google Scholar, focusing on research conducted in Morocco from 2005 to 2020. Variables examined include the prevalence of breastfeeding at six months, the age of weaning, the commencement of dietary diversification at six months, and the prevalence of advice from healthcare professionals, particularly nursing experts, provided to Moroccan mothers. Results and Discussion: Complementary feeding practices in Morocco navigate the intersection of maternal nutritional beliefs and a plethora of infant feeding concepts, resulting in a complex landscape. The crucial role of medical and nursing personnel in conveying appropriate information and advice to Moroccan mothers is highlighted. Conclusion: Complementary feeding is a pivotal milestone in infant nutrition, necessitating adjustments and updates in Moroccan practices. The active involvement of medical and nursing personnel is essential to ensure optimal weight development and prevent infant nutritional disorders. Impact and Contribution of Patient or Public: Emphasizing the importance of the results in positively influencing infant feeding practices in Morocco, with a focus on the crucial role played by medical and nursing personnel in promoting infant health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.015 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".