Community-Based Child Food Interventions/Supplements for the Prevention of Wasting in Children Up to 5 Years at Risk of Wasting and Nutritional Oedema: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
CONTEXT: Malnutrition poses a significant threat to child health, with millions of children worldwide affected by wasting, which increases the risk of morbidity and mortality. OBJECTIVE: In this study we sought to evaluate the effectiveness of community-based infant/child food interventions and supplements for preventing wasting among children up to 5 years at risk of wasting and nutritional oedema. The World Health Organization commissioned this review to update their guidelines on wasting due to malnutrition in children. DATA SOURCES: Nine databases were searched from inception until July 2021 and an updated search was carried out on MEDLINE and Ovid MEDLINE until April 13, 2023, and included 24 studies (98 articles) evaluating the impact of community-based infant/child food interventions/supplements for the prevention of wasting among children up to 5 years. DATA EXTRACTION: Two review authors independently extracted data and assessed the quality of included studies using the Cochrane Risk of Bias Tool 2.0. Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria were used to assess the quality of evidence. DATA ANALYSIS: This review included 19 cluster-randomized controlled trials (cRCTs) and 5 RCTs evaluating the impact of community-based infant/child food interventions/supplements including fortified blended foods (FBFs), small-quantity (SQ), medium-quantity (MQ), or large-quantity (LQ) lipid-based nutrient supplements (LNS), and multiple micronutrient powder (MNP) for the prevention of wasting among children up to 5 years of age. The analysis showed that infants/children given supplementation with LNS (either SQ, MQ, or LQ) had significantly reduced wasting and significant improvements in weight-for-age z-score, mid-upper-arm circumference (MUAC), and underweight prevalence, along with significant reductions in mortality. The MNP supplementation had little or no impact on wasting but was associated with increased incidences of rapid breathing/chest indrawing and diarrhea morbidity. Overall, the studies were judged to have raised some concerns for the outcomes of wasting and adverse anthropometric indices. However, the GRADE analysis suggested low-to-moderate certainty of outcomes. CONCLUSIONS: The findings of this review highlight the effectiveness of SQ-LNS and MQ/LQ-LNS supplementation in decreasing rates of wasting, underweight, and mortality and increasing MUAC and weight-for-age z-scores. Methodological limitations in most studies emphasize the need for future trials with direct comparisons of various dietary supplementation strategies. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42021277429.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".