Associations between diet quality and physical activity measures among a southern Ontario regional sample of grade 6 students
Bibliographic record
Abstract
The purpose of this study was to determine diet quality and physical activity behaviours of grade 6 students by sex and body weight status, and to determine the associations between diet quality and physical activity behaviours. The Web-based Food Behaviour Questionnaire, which included a 24-h diet recall and the modified Physical Activity Questionnaire for Older Children (PAQ-C), was administered to a cross-section of schools (n = 405 students from 15 schools). Measured height and weight were used to calculate body mass index and weight status (Cole et al. 2000). A Canadian version of the Healthy Eating Index (HEI-C) was used to describe overall diet quality. The mean HEI-C was 69.6 (13.2) with the majority (72%) falling into the needs improvement category. The overall mean physical activity score was 3.7 out of a maximum of 5, with obese subjects being less active compared with normal weight and overweight (p < 0.001). Ordinal logistic regression analysis (of HEI-C vs. all measures of the PAQ-C, sex, and weight status) revealed that HEI-C ratings were likely to be higher in students that walked to and from school 5 days per week (vs. 0 days per week; odds ratio 3.18, p = 0.010); and were active 1 evening per week (vs. none; odds ratio 3.48, p = 0.039). The positive association between diet quality and some aspects of physical activity suggests possible clustering of health behaviours. Future research should test the potential benefits of promoting 1 health behaviour (e.g., healthy eating) with another (e.g., physical activity).
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 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 | 0.002 |
| 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) | 0.001 | 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".