Dietas vegetarianas en Pediatría: Recomendaciones de la Rama de Nutrición
Bibliographic record
Abstract
In recent decades, the vegetarian dietary option has been increasing in the general population, in cluding the pediatric age group. This has led to numerous questions regarding the benefits and risks that may arise from its implementation. Food restriction implies the potential deficiency of several nutrients, establishing some of them as critical for this period of development and rapid growth, so the safety of vegetarian diets has not been fully established worldwide. The main critical nutrients are iron, zinc, calcium, vitamin B12, and omega-3 fatty acids. The groups most at risk of nutritional deficiencies are infants, adolescents, more restrictive vegetarian options, and those who do not have adequate professional nutritional counseling. Therefore, vegetarian diets should be strictly supervi sed. Scientific societies such as the American, Canadian, Italian, and British nutrition societies recog nize vegetarian diets as healthy in the pediatric age as long as they are supervised by qualified health professionals. However, there are others that do not support it as the French one, while the Spanish one supports it with restrictions in the infant period. The objective of this publication is to describe potential nutritional deficiencies and to provide recommendations to follow a balanced and safe ve getarian diet in the pediatric population according to the available information, paying attention to the limitations that we may have in the implementation of this diet in our population, especially in critical stages such as infants and adolescents.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".