Developmental and behavioural problems in children with severe acute malnutrition in Malawi: A cross-sectional study.
Bibliographic record
Abstract
BACKGROUND: Early childhood development provides an important foundation for the development of human capital. Although there is a clear relation between stunting and child development outcomes, less information is available about the developmental and behavioural outcomes of children with severe acute malnutrition (SAM). Particularly an important research gap exists in Sub-Saharan Africa where there is a high prevalence of SAM and a high rate of co-occurring HIV (human immune deficiency virus) infection. Our first objective was to assess the prevalence and severity of developmental and behavioural disorders on a cohort of children admitted to an inpatient nutritional rehabilitation centre in Malawi. Our second objective was to compare the developmental and behavioural profiles of children with the two main phenotypes of SAM: kwashiorkor and marasmus. METHODS: This was a cross-sectional observational study including all children hospitalized with complicated SAM in Blantyre, Malawi over an 8-month period from February to October 2015. At discharge, children were assessed with the well-validated Malawi Developmental Assessment Tool (MDAT) for gross motor, fine motor, language and social development. In children ≥24 months, emotional and behavioural problems were measured using the Strengths and Difficulties Questionnaire (SDQ). RESULTS: 150 children (55% boys) with SAM were recruited; mean age of 27.2 months (standard deviation 17.9), 27 children (18%) had pre-existing neurodisabilities (ND) and 34 (23%) had a co-occurring human immune deficiency virus (HIV) infection. All children with SAM experienced profound delays in the gross and fine motor, language and social domains. Linear regression analysis demonstrated that children with kwashiorkor scored 0.75 standard deviations lower (95% confidence interval -1.43 to -0.07) on language MDAT domain than children with marasmus when adjusted for covariates. The prosocial behaviour score of the SDQ was low in children with SAM, indicating a lack of sensitive behaviour in social interactions. CONCLUSIONS: Children with SAM have severe developmental delays after a hospital admission. Our results indicate that there might be a significant difference in developmental attainment between children with kwashiorkor and with marasmus. Future studies exploring longer-term outcomes and testing possible intervention strategies are urgently needed.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".