Vegetarianism and other eating practices among youth and young adults in major Canadian cities
Bibliographic record
Abstract
OBJECTIVE: To estimate the prevalence and sociodemographic characteristics of youth and young adults in major Canadian cities with self-reported vegetarian dietary practices and examine efforts to alter their diets. DESIGN: Data were collected in autumn 2016 via web-based surveys. Respondents reported vegetarian dietary practices (vegan, vegetarian or pescatarian) and efforts in the preceding year to consume more or less of several nutrients, food groups and/or foods with particular attributes. Logistic regression models examined sociodemographic correlates of each vegetarian dietary practice and differences in other eating practices by diet type. SETTING: Participants were recruited from five major Canadian cities. PARTICIPANTS: Youth and young adults, aged 16-30 years (n 2566). RESULTS: Overall, 13·6 % of respondents reported vegetarian dietary practices: 6·6 % vegetarian, 4·5 % pescatarian and 2·5 % vegan. Sex, race/ethnicity, self-reported frequency of using the Nutrition Facts table and health literacy were significantly correlated with self-reported vegetarian dietary practice (P < 0·01 for all). Efforts to consume more fruits and vegetables (66·8 %) and protein (54·8 %), and less sugar (61·3 %) and processed foods (54·7 %), were prevalent overall. Respondents with vegetarian dietary practices were more likely to report efforts to consume fewer carbohydrates and animal products, and more organic, locally produced, ethically sourced/sustainably sourced/fair trade and non-GM foods (P < 0·01 for all), compared with those without these reported dietary practices. CONCLUSIONS: Nearly 14 % of the sampled youth and young adults in major Canadian cities reported vegetarian dietary practices and may be especially likely to value and engage in behaviours related to health-conscious diets and sustainable food production.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".