Association between fruit and vegetable consumption in children and mothers in low-income, urban neighbourhoods in Montréal
Bibliographic record
Abstract
The objective was to describe the association between fruit and vegetable consumption in mothers and children.572 girls and 528 boys in grades 4-6 were recruited from 24 elementary schools in low-income, multiethnic neighbourhoods in Montreal, Canada.Dietary data were collected in food frequency questionnaires completed by both mothers and children and were analyzed using the proportional odds model.Ten percent of girls and 20% of boys had not eaten any vegetables in the week prior to questionnaire administration ; 54% of girls and 63% of boys did not consume fruit daily.Both fruit and vegetable consumption in children were associated with consumption in their mothers (OR: 1.12 CI: 1.04, 1.20 and OR: 1.13 CI: 1.05, 1.22 for fruit and vegetable consumption respectively).Because of the association between consumption in children and mothers, interventions to improve fruit and vegetable consumption should be improving awareness among parents of the importance of fruit and vegetables, as well as the potential role modeling impact of their own behaviour on that of their children. I am grateful to the members of my thesis
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".