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Record W3030477631 · doi:10.1093/cdn/nzaa043_039

Food Insecurity Is Not Related to Cognitive Function in School-Aged Children in Querétaro, Mexico

2020· article· en· W3030477631 on OpenAlexaff
Olga P. García, Karina Miranda, Hugo Melgar‐Quiñonez, Jorge L. Rosado

Bibliographic record

VenueCurrent Developments in Nutrition · 2020
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsMcGill University
Fundersnot available
KeywordsFood insecurityAnthropometryOverweightEnvironmental healthWaistCognitionChildhood obesityLogistic regressionDemographyFood securityObesityCross-sectional studyMedicinePsychologyGerontologyGeographyPsychiatry

Abstract

fetched live from OpenAlex

To evaluate the relationship between household food insecurity and food insecurity of the mothers during her childhood with cognitive function in school children in Querétaro. A total of 153 children (6–10 y) of public elementary schools in the municipality of Querétaro participated in a cross-sectional study. Household food insecurity was measured using the ELCSA (Latin American and Caribbean Food Security Scale) and a validated questionnaire to measure food insecurity of the mother during her childhood. Anthropometric measurements (weight, height, waist circumference) were taken by standardized personnel and the WISC IV scale adapted to children for the determination of cognitive function was applied by trained psychologists. Statistical ANOVA tests were used to determine mean differences in cognitive function between children with and without food insecurity. A logistic regression was also calculated to determine the odds of having low cognitive function in the presence of food insecurity, both at the household level and of the mother during her childhood. All analyses were adjusted for maternal level of education as a confounder. The children had a combined prevalence of overweight and obesity of 39.9%. A total of 54.3% of the households had food insecurity and 80.4% of the mothers had food insecurity in their childhood. The prevalence of the average score of the Total Intelligence Quotient (TIQ) of the children was 52.3%, and 38.2% had TIQ below average. Children living in households with food insecurity and with mothers that had food insecurity in their past had lower TIQ (89.08 ± 8.23, and, 91.87 ± 11.18, respectively) compared with children in food secure households (95.39 ± 12.20) and with mothers that had food security in their childhood (96.87 ± 12.03). However, after adjusting for maternal level of education, no relationship was observed between food insecurity and TIQ. Similarly, the adjusted logistic regression model showed no relationship between food insecurity in the household and mother's food insecurity in the past with TIQ. In the present study, food insecurity was not related to cognitive function of school-aged children in Querétaro, Mexico. Partially funded by CONACYT.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.150
GPT teacher head0.421
Teacher spread0.272 · 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; a candidate call from one teacher head, not a consensus.

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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