Poor Adherence to Dietary Guidelines Among French-Speaking Adults in the Province of Quebec, Canada: The PREDISE Study
Bibliographic record
Abstract
BACKGROUND: Regular monitoring of the population's food and nutrient intake is essential to develop effective nutrition-focused public health policies. The aim of this study was to provide dietary intake estimates using an age- and sex-representative sample of French-speaking adults with Internet access from 5 administrative regions in the province of Quebec, Canada. METHODS: PRÉDicteurs Individuels, Sociaux et Environnementaux (PREDISE) is a multicentre cross-sectional study that used a Web-based approach to collect individual, social, and environmental data on factors associated with adherence to dietary recommendations. Dietary intake was estimated from the average of 3 validated Web-based 24-hour recalls. RESULTS: Mean (± SD) age of the 1147 participants (50.2% women) was 43.2 ± 4.6 years and median body mass index was 26.3 (interquartile range, 23.3-30.3). Less than 25% of participants met Canada's Food Guide recommendations for vegetables and fruit intake (prevalence, 23.6%; 95% confidence interval [CI], 21.1-26.0). Most participants reported consuming more than 2300 mg of sodium (prevalence, 80.5%; 95% CI, 78.2-82.7) and more than 10% energy as saturated fats (prevalence, 74.2%; 95% CI, 71.6-76.7). Mean Canadian Healthy Eating Index score on a scale of 0-100 was 54.5 (95% CI, 53.8-55.2), reflecting relatively poor diet quality according to current dietary recommendations. CONCLUSIONS: Self-reported dietary intakes measured using a new validated Web-based 24-hour recall in this sample of French-speaking adults from Quebec and with access to Internet suggest low adherence to current Canadian dietary guidelines. These data emphasize the need for more effective nutrition-focused public health policies to maximize cardiovascular disease prevention at the population level.
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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 | 0.001 |
| 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 | 0.000 |
| 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".