Identifying individual factors associated with pleasure of eating healthy foods and plant/animal protein food consumption: findings from an exploratory study
Bibliographic record
Abstract
Purpose This study identifies new factors influencing the adoption of two recently promoted messages in Canada's updated food guide (FG): enhancing pleasure of eating healthy foods (PEHFs) and shifting food choices towards plant protein foods. Currently, limited and contradictory evidence is available regarding associations between environmental values, nutrition literacy, PEHFs, and plant/animal protein food consumption. Design/methodology/approach An online survey measuring environmental values; nutrition literacy, distinctively based on previous (2007) and most recent (2019) FG messages; PEHFs; and annual changes in the consumption of protein foods was sent to Quebec residents (N = 128). Findings Greater nutrition literacy of both 2007 and 2019 FGs and greater environmental values were associated with greater PEHFs (ß = 0.248, p < 0.01; ß = 0.209, p < 0.05; ß = 0.423, p < 0.001, respectively). Greater PEHFs was associated with greater consumption of plant protein foods (ß = 0.405, p < 0.001). Greater nutrition literacy of the 2007 FG was associated with greater consumption of animal protein foods (ß = 0.409, p < 0.001), whereas greater nutrition literacy of the 2019 FG was linked to lower consumption of animal protein foods (ß = −0.225, p < 0.05). Practical implications Enhancing PEHFs may require increasing general FG nutrition literacy and strengthening environmental values. To encourage plant protein food consumption and decrease animal protein food consumption, the authors recommend promoting PEHFs and increasing nutrition literacy based on newest FG recommendations. Originality/value This new evidence may help develop strategies promoting PEHFs and plant protein food consumption, thus increasing uptake of new FG recommendations.
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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 | 0.001 | 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".