Transitioning to Sustainable Dietary Patterns: Learnings From the Dietary Patterns of Adults With Low Animal Protein Consumption in the Province of Quebec
Bibliographic record
Abstract
The sustainable diet paradigm rests, among others, on the replacement of animal proteins by plant-based proteins. Our aim was to provide insights on the food and nutrient characteristics of a dietary pattern consistent with lower intakes of animal proteins among French Canadians. Analyses were conducted in 1147 French-speaking adults (50.2% female, mean age 42.8y) of the PRÉDicteurs Individuels, Sociaux et Environnementaux (PREDISE) study in Québec. Dietary intakes were evaluated using a validated web-based 24hr dietary recall (R24W) repeated on three unannounced occasions. Foods were classified according to the 2019 Canada's Food Guide (CFG) food categories and consumption was expressed as reference amount (RA) or nutrient amounts (in g or mg) per 2000kcal. Diet quality was assessed using the Healthy Eating Food Index-2019, a new index that reflects adherence to the recommendations on healthy food choices in 2019 CFG. Animal protein consumption was classified into quartiles and differences in food and nutrient intakes as well as in the HEFI-2019 score between quartiles were assessed using linear regression models adjusted for age and sex as well as for multiple comparisons. Compared with those in the highest quartile of animal protein consumption, participants in the lowest quartile reported consuming more plant-based protein foods (+0.4 RA/2000 kcal; 95%CI 0.2;0.6), refined grains (+0.3 RA/2000 kcal; 95% CI 0.1;0.5), foods not recommended in CFG 2019 (+1.5 RA/2000 kcal; 95%CI 1.0;2.0), polyunsaturated fatty acids (+2.5g/2000 kcal; 95%CI 1.4;3.5) and free sugars (+20.0g/2000 kcal; 95%CI 14.0;26.0). They also consumed less monounsaturated fatty acids (−1.8g/2000 kcal; 95%CI −3.2; −0.4), saturated fats (−7.3g/2000 kcal; 95%CI −8.8; −5.9) and sodium (-349 mg/2000 kcal; 95%CI -510; -188). The HEFI-2019 score was similar among quartiles of animal protein consumption. The dietary pattern of French-Canadian adults who consume lesser amounts of animal proteins is not entirely consistent with better diet quality. These results highlight some of the challenges in transitioning the dietary habits of French Canadian adults into more sustainable and healthier patterns. Canadian Institute for Health Research, Centre Nutrition, Santé et Société-NUTRISS and Fonds de nutrition publique.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".