Assessing the Impact of Nutritional Status on Psychomotor Development in Infants Aged 0-23 Months in the Gahombo Health District, Burundi
Bibliographic record
Abstract
This study aims to assess the influence of malnutrition on the psychomotor development of children aged 0–23 months in the Gahombo health district. The survey was conducted from 12 to 27 July 2024. The results show disharmonious psychomotor development in children suffering from severe acute malnutrition (SAM) and moderate acute malnutrition (MAM) when compared to their adequately nourished peers. The ability to hold the head without support, sit, crawl, walk independently, pronounce simple words, babble, and track familiar faces is significantly affected in malnourished children. Only 9.7% of MAM and 2.7% of SAM children walked independently at 12 months of age, in contrast to 39.2% of adequately nourished children. Furthermore, the ability to pronounce "papa" and "maman" or to babble and follow a familiar face was much lower in malnourished children (p < 0.05). These delays were more pronounced in cases of severe malnutrition. Therefore, malnutrition has a profound influence on psychomotor development in children under two years of age. The study highlights the importance of early intervention and appropriate nutritional care in mitigating the impact of these disorders.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".