Evaluative Studies on the Impact of an Extruded Soy-Cocoa Based Complementary Diet on Growth of the Undernourished Child
Bibliographic record
Abstract
Undernutrition among children under five remains widespread culminating predominantly in linear growth deficits (? -2SD Units) with its attendant setbacks. Food-based interventions aimed at completely reversing this phenomenon have not had significant impact. Exploring novel dietary interventions has therefore become necessary. A standard centrally processed food (soyflour + cocoa + corn starch) was subjected to efficacy trial. Using a pretest-posttest controlled experimental design, the impact of the diet was determined on 30 (randomly selected) undernourished children (aged 6-24 months) at the Nutrition Rehabilitation Clinic, Oni Memorial children’s Hospital, Ibadan, Nigeria. Anthropometric, Biochemical and haematological measurements were conducted over a two month duration including follow-up observations according to standard methods. Results of mean values (cm/month) of linear growth velocity observed for intervention (2.59 ± 2.2) was higher and significantly different from control (0.94 ± 0.08) (p ? 0.05). Elimination of linear growth deficits (? - 2SD units) was successful in 75% and 30% of test subjects aged 6-12 months and 12-24 months respectively using WHO (2006) child growth standard as reference. These outcomes were at variance from the control (p ? 0.05) where deficits persisted. Serum Albumin normalized, having risen by 21.8% in the intervention from 35.5 g/L but contrasted sharply with control’s 4.4% rise from 33.9g/L. Haemoglobin values attained 6.96 mmol/L (Intervention) and 6.14 mmol/L (control) following a similar trend. The impact of an extruded soy-cocoa based complementary diet has been evaluated and found to be effective in reducing linear growth deficits in children under age two especially those between 6-12 months. Its use for Nutrition rehabilitation is recommended.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".