Changes in healthy eating knowledge and attitudes of caregivers attending a family-based pediatric obesity program
Bibliographic record
Abstract
Background: Pediatric obesity is a serious health issue, with an exceedingly high prevalence, having both short and long-term consequences. The Family Lifestyle Program (FLP) provides treatment services to families struggling with pediatric overweight and obesity living in the Winnipeg Health Region. Purpose: To determine whether caregivers’ nutrition knowledge and/or their attitudes about nutrition change as a result of attending the family group education sessions of the FLP. Methods: In this quantitative exploratory research, 17 caregivers (68% female) attended at least four out of five family group education sessions and completed a self-administered survey over three time periods of the program intervention, spanning approximately eight weeks from Time 1 to Time 3. Results: Caregiver nutrition knowledge did not change. Significant changes in three of the four attitude measures across three time periods were observed, related to caregiver attitudes toward their child’s and their own eating habits, program specific nutrition content (label reading and meal planning), and the perceived effort in providing foods to family and in role modelling of healthy behaviours to family members. Conclusions: The family group education sessions assisted the caregivers apply nutrition knowledge through participation in the program intervention, to improve their confidence with following healthy eating principles and role modelling these behaviours to their family members.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".