Consumer attitudes and misconceptions of foods with sodium claims: Results of a randomized mock label experiment
Bibliographic record
Abstract
In light of the public health priority to reduce dietary sodium, we evaluated consumers’ attitudes and understanding of permitted sodium claims on food labels. Online panellists were exposed to 4 identical mock canned soup labels, in random order, with the same Nutrition Facts table which differed only by the claim it carried. We tested 3 types of sodium claims (nutrient content (NC), function, disease risk reduction (DRR)) and a ‘tastes great’ claim acting as a control. Overall, all sodium claims resulted in higher ratings in attitudes toward the claim (i.e. attractiveness, clarity and credibility), attitudes towards the product (i.e. perceived healthiness) and purchasing intentions compared to the control claim (p<0.001). The NC and DRR claims were consistently rated the highest and similar to each other, yet regulatory criteria for foods to carry such claims differ greatly. Sodium claims, that do not mention health or disease, still infer health benefits. In addition, panelists attributed additional health benefits to products carrying sodium claims, beyond the well established relationship between sodium and hypertension, such as for weight loss, diabetes and constipation (p<0.001). This study demonstrates the need for additional efforts to educate consumers on common misconceptions of the benefits of sodium reduction, especially as population wide sodium reduction initiatives move forward. Grant Funding Source : AFMNet; CIHR operating grant/Canadian Stroke Network; CIHR Strategic Training Program in Public Health Policy (CW), CIHR Strategic Training in Population Intervention for Chronic Disease Prevention: A Pan‐Canadian Program (Grant#53893) (CW); Ontario Graduate Scholarship (CW); Heart & Stroke Foundation of Canada Postdoctoral Fellowship (JA); University of Toronto McHenry Chair (ML)
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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 | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".