Grocery Shopping, Dinner Preparation, and Dietary Habits among Adolescents and Young Adults in Canada
Bibliographic record
Abstract
PURPOSE: The current study aimed to characterize grocery shopping and dinner preparation behaviours among young people in Canada and to examine associations with eating habits. METHODS: A cross-sectional online survey was conducted with 2008 participants aged 16-24 from across Canada. The survey measured self-reported grocery shopping and dinner preparation behaviours, frequency of eating breakfast and eating meals prepared away from home, frequency of vegetable and fruit intake, and socio-demographic characteristics. Chi-square tests examined differences in proportions; logistic and linear regressions examined dietary habits, including covariates for grocery shopping and dinner preparation and socio-demographics. RESULTS: Overall, 37.3% had helped with grocery shopping in the past week, and 84.3% had participated in dinner preparation at least 1 day in the past week. Engaging in shopping at least once weekly was associated with increased vegetable and fruit consumption only, whereas more frequent engagement in dinner preparation was associated with increased vegetable and fruit consumption, more frequent breakfast consumption, and fewer meals consumed that were prepared away from home (P < 0.001 for all). CONCLUSIONS: Increased participation in grocery shopping and dinner preparation were associated with healthier dietary habits. Interventions that increase these behaviours may contribute to improving dietary behaviours among adolescents and young adults.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".