Traditional food and monetary access to market-food: correlates of food insecurity among Inuit preschoolers
Bibliographic record
Abstract
OBJECTIVES: To evaluate correlates of food insecurity among Inuit preschoolers. Study design. Cross-sectional health survey. METHODS: Correlates of food insecurity were assessed in 3-5 year old children (n=388) residing in 16 Nunavut communities (2007-2008) in whom a high prevalence of child food insecurity (56%) has been documented. A bilingual team conducted interviews, including 24-hour dietary recalls and past-year food security assessment involving monetary access to market foods. RESULTS: Children residing in child food insecure homes were more likely to have consumed traditional food (TF) (51.7% vs. 39.9%, p ≤ 0.01), and less likely to have consumed any milk (52.2% vs. 73.2%, p ≤ 0.001) compared to children in child food secure homes. Median healthy eating index scores were significantly lower (77.1 vs. 79.9, p ≤ 0.01) and sugar drink intake higher (429 vs. 377 g/day, p ≤ 0.05) in children from child food insecure than food secure households. Children that consumed TF had higher protein and lower carbohydrate intake (p ≤ 0.05) and tendencies for a lower prevalence of iron deficiency (plasma ferritin <12 μg/l; p ≤ 0.10) regardless of food security status. A borderline significant interaction of TF by food security status (p ≤ 0.10) was observed where the percent of anemia (hemoglobin <110 and <115 g/l for 3-4 and 5 yr. olds, respectively) was highest among children from child food insecure homes who consumed no TF. CONCLUSIONS: TF and market food contribute to food security and both need to be considered in food security assessments. Support systems and dietary interventions for families with young children are needed.
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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 | 0.000 | 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".