Early childhood development and nutritional status in urban Ethiopia
Bibliographic record
Abstract
Early childhood development (ECD) is crucial for better health and well-being throughout life, but few studies have examined how ECD relates to child malnutrition. This is mainly due to lack of reliable and disaggregated data on ECD. We estimated the prevalence of ECD delays (communication, fine motor, gross motor, problem-solving and personal-social) and examined how different ECD domains were associated with child nutritional status in urban Ethiopia. Using a community-based cross-sectional survey design, 627 mother-child (12-36 months old) pairs were included in the study. The ECD was assessed using the Age and Stage Questionnaire (ASQ-3), and the nutritional status was assessed using anthropometric measurements. The association between the ECD domains and nutritional status was analysed using ordinal logistic regression, adjusting for confounding variables. Delays in ECD domains were common, especially in fine motor domain (41.9%); and more than half of the children were stunted (52.8%). Stunting and underweight were associated with ECD delays, while wasting was not. Accordingly, stunted children were more likely to have worst ECD delays in fine motor (odds ratios [OR] = 1.54; 95% confidence interval [CI]: 1.11; 2.15), gross motor (OR = 1.47; 95% CI: 1.05; 2.04) and problem-solving (OR = 1.41; 95% CI: 1.02; 1.96) domains compared to non-stunted children. Similarly, underweight children were more likely to have worse ECD delays in gross motor (OR = 1.91; 95% CI: 1.20; 3.04) and fine motor (OR = 1.90; 95% CI: 1.15; 3.15) domains compared to normal children. Coordinated and targeted ECD interventions, such as nurturing care, should be promoted and implemented widely to improve ECD outcomes and child nutrition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".