Barreras y facilitadores para el establecimiento de hábitos alimentarios, modelo Póngale Vida®
Bibliographic record
Abstract
Introduction: The Preschool Cycle is a period of changes in nutritional status and eating behavior, constituting a fundamental stage for the development of healthy eating habits, where the family plays a major role. Objective: Identify the main barriers and facilitators for healthy eating in preschool age, with the purpose of designing strategies to prevent childhood overweight and obesity. Materials and Methods: The research was conducted under a mixed approach, with a descriptive and transversal type. Sixty parents or caregivers of preschool children who were part of the model during 2014 at the Mariano Cortés School (urban) and Canada School (rural), completed the questionnaire and twenty-five participated in the focus groups (one focus group in each school). Results: The barriers that the parents and caregivers faced daily included: food rejection by the child, the influence of peers and even the attitudes of adults who share with the child while eating. The facilitators that encourage healthy eating in this stage of life were: establish clear rules when eating, offer a variety of foods and explain to the child the importance of eating fruits and vegetables in a simple way. Conclusion: The barriers and facilitators to promote healthy eating in this stage of the lifetime, must be include as part of future strategies for the prevention of childhood obesity.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".