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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".