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Record W1602024653 · doi:10.21149/spm.v56s1.5166

La inseguridad alimentaria está asociada con obesidad en mujeres adultas de México

2013· article· es· W1602024653 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSalud Pública de México · 2013
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.010

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.

Opus teacher head0.026
GPT teacher head0.369
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it