La inseguridad alimentaria está asociada con obesidad en mujeres adultas de México
Bibliographic record
Abstract
Objetivo. Describir la asociación de la inseguridad alimentaria (IA) con la obesidad en adultos en México. Material y métodos. Diseño transversal en el que se incluyeron datos de hombres y mujeres recabados por la Encuesta Nacional de Salud y Nutrición de 2012 (Ensanut 2012). Se obtuvieron medidas de peso y talla y se calculó el índice de masa corporal. El nivel de inseguridad alimentaria del hogar se midió a través de la Escala Latinoamericana y Caribeña de Seguridad Alimentaria. Se ajustaron modelos de regresión lineal y logística. Resultados. Del total de la población, 70.6% tuvo algún nivel de IA: 42.6% IA leve, 17.7% IA moderada y 10.3% IA severa. Se encontró una probabilidad mayor de obesidad en la población con IA leve (RM: 1.66; IC95% 1.11-2.50) en la población adulta. En mujeres la probabilidad fue ligeramente mayor (RM: 1.78; IC95% 1.01-3.12). Conclusiones. La IA leve se asocia con la obesidad, particularmente en mujeres.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".