Early life adverse environmental, nutrition and infection factors are associated with lower developmental scores in Pakistani children at 5 years: a cohort study
Bibliographic record
Abstract
Background: The effects of multiple early adverse psychosocial and biological factors on child development at preschool age in deprived settings are not fully understood. Methods: The 'Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development' (MAL-ED) project followed children from eight countries, recording sociodemographic, nutritional, illness, enteroinfection biomarkers and scores for quality of home environment (Home Observation for Measurement of the Environment (HOME)), development (Bayley) and maternal depression during the first year of life. In the Pakistan cohort, we investigated associations of these early factors with Z-scores (derived from the eight participating countries) of three developmental outcomes at 5 years: Executive Functions (Z-EF), the Wechsler Preschool and Primary Scale for Intelligence (Z-WPPSI) and the externalising behaviours component of the Strength and Difficulties test (Z-externalising behaviours). Results: Most children had 5-year development measurements below other MAL-ED countries (Z-EF<0, 80.3%, Z-WPPSI<0, 69.3%) and 45.6% had Z-externalising behaviours>0. Higher Z-EF was associated with higher HOME (coeff: 0.03 (95% CI 0.005, 0.05), p=0.017) and Bayley scores (0.01 (0.002, 0.01), p=0.010). Higher Z-WPPSI was associated with more household assets (0.02 (0.01, 0.03), p=0.003), but with lower alpha-1 antitrypsin (µmol/L, protein-losing enteropathy) (-0.01 (-0.02, -0.005), p=0.003). Lower externalising behaviour was associated with female sex (-0.30 (-0.53, -0.08), p=0.009), higher soluble-transferrin-receptors (mg/L) (-0.07 (-0.14, -0.01), p=0.024) and initiation of solids/semisolids≥6 months (-0.16 (-0.31, -0.01), p=0.033), but higher externalising behaviour was associated with underweight (0.35 (0.07, 0.62), p=0.014), more diarrhoeal episodes (0.03 (0.004, 0.06), p=0.022) and higher Maternal Depression Score (0.04 (0.01, 0.07), p=0.003) in the first year. Conclusion: Adverse environmental, nutrition and infectious factors, and indicators of deprived early development in the first year of life have a negative association with developmental scores at 5 years. Addressing early stressors, improving diet, infections and environment stimulation early in life could positively impact child development in resource-constrained settings.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".