Food Insecurity Is Not Related to Cognitive Function in School-Aged Children in Querétaro, Mexico
Bibliographic record
Abstract
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.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".