Gluten-Free Claims Are Displayed Mostly on Processed and Ultra-Processed Foods in Canada
Bibliographic record
Abstract
Celiac disease is an autoimmune condition characterized by an adverse response to gluten ingestion. While only 1% of the population must follow a gluten-free diet (e.g., those with celiac disease), gluten-free products are becoming increasingly prevalent in Canada, particularly among packaged products, which are largely processed or ultra-processed. Yet, excess consumption of processed and ultra-processed foods has been associated with poor diet quality, a risk factor for obesity and other non-communicable diseases. To examine whether the presence of gluten-free claims (GFC) on packaged food and beverage products was associated with level of processing. Cross-sectional analysis of the University of Toronto Food Label Information Program 2017. GFC were identified by systematically reviewing the photographs of food labels (n = 17,267). Products were classified into 22 main food categories as determined by the Health Canada's Table of Reference Amounts for Foods. Using the NOVA food processing classification system, products were also classified into two groups: 1) Unprocessed or minimally processed and processed culinary ingredients; and 2) processed or ultra-processed. Proportions of products displaying GFC were calculated overall, by food category and by level of processing. Binomial logistic regression models examined the association of GFC with level of processing. Fifteen % of products displayed GFC. Categories displaying the largest proportion of GFC were snacks (32%), meat and poultry products (28%), and nuts and seeds (26%). The presence of GFC claim was associated with foods being processed or ultra-processed (β = 1.63, P < 0.001). In 8 of the 22 food categories, 100% of products displaying GFC were processed or ultra-processed, while more than 80% of foods displaying GFC in 17 of 22 categories were considered processed or ultra-processed. About 1/6 of prepackaged foods and beverages displayed gluten-free claims in the Canadian Food supply. Most of them were considered processed and ultra-processed foods. Canadian Institutes of Health (CIHR) Scholarships [BFA, LV], Department of Nutritional Sciences Graduate Student Fellowship [BFA; LV], Ontario Graduate Scholarship [LV], CIHR Research Grant 2016PJT-152,979 [MRL].
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".