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Deterioro cognitivo asociado a obesidad en adultos en un hospital general en Cuernavaca, Morelos

2022· article· es· W4311030171 on OpenAlexaboutno aff
Irving G. Soriano-Ursua, Nadia I. Piña-Ramírez, Cidronio Albavera-Hernández, Laura Ávila-Jiménez

Bibliographic record

VenueAtención Familiar · 2022
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Objetivo: estimar la asociación entre deterioro cognitivo y obesidad en adultos. Métodos: estudio transversal analítico con una muestra no probabilística de casos consecutivos. Se incluyeron 112 participantes de 20 a 64 años de edad, con peso normal y con obesidad, que acudieron a la consulta externa del Hospital General Regional con Medicina Familiar No. 1, en Cuernavaca, Morelos, México. Se utilizó la escala de Evaluación Cognitiva de Montreal y se evaluaron covariables como actividad física, consumo calórico, sexo, edad, circunferencia de cintura y porcentaje de grasa corporal. Los datos se analizaron con el programa estadístico stata 11.1. Resultados: de los 112 participantes, 23 eran hombres y 89, mujeres; el rango de edad fue de 20 a 64 años (mediana 30 años). Se encontraron diferencias estadísticamente significativas (p<0.05) entre los grupos con y sin deterioro cognitivo en las variables: escolaridad, edad, nivel de grasa visceral, porcentaje de grasa corporal, circunferencia de cintura y calidad muscular. Después de ajustar por edad, sexo, nivel de educación, actividad física y consumo de calorías diarias, la obesidad se asoció significativamente con un incremento de la posibilidad de presentar deterioro cognitivo (rm = 3.77, ic 95% = 1.004-14.190, p <0,04). Conclusión: la obesidad se asoció con mayor posibilidad de presentar deterioro cognitivo, mientras que la escolaridad superior se asoció con una menor posibilidad de presentarlo.

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.

How this classification was reachedexpand

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 categoriesInsufficient 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 score0.048
Threshold uncertainty score0.999

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 studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.003

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 head0.012
GPT teacher head0.334
Teacher spread0.322 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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