Salient beliefs among Canadian adults regarding milk and cheese consumption: a qualitative study based on the theory of planned behaviour
Bibliographic record
Abstract
In spite of multiple efforts by public health authorities to promote consumption of milk and alternatives in the Canadian adult population, consumption of these healthy foods is still suboptimal. This study aimed to explore salient beliefs underlying the consumption of fluid milk and cheese among adults. The qualitative descriptive research design was based on the Theory of Planned Behaviour framework, using 20 focus groups. A total of 161 men and women (19 to 50 years old) from Quebec City, Montreal and Toronto (Canada) were recruited to participate in focus groups. A hybrid approach (deductive and inductive) to qualitative methods of thematic analysis was used during coding of focus group transcripts to draw out participant’s salient beliefs regarding milk and cheese consumption. For both milk and cheese, most groups cited advantages or disadvantages with regards to health effects, nutritional value, taste, socio-affective aspects and practicality. Family and friends, health professionals and advisors, and communications domain (e.g. advertisements, TV programs, well-known personalities) were cited as major influences affecting consumption. Price reduction, product improvements, supply increase and variation, favourable food/drink combinations and access were among the most commonly cited facilitators for milk and cheese consumption. Major barriers included high price, reduced confidence in the product (reasons/contexts that reduce perceived safety of the product), health status, problems linked to supply (varieties/formats which are not available), and habits and cultural values. Gender and level of milk and cheese consumption differences were observed between groups: men referred more often to industry and politics as factors influencing their milk consumption, while women expressed more animal and environmental concerns. Differences were also noted between high and low consumer’s groups in relation to the themes of taste, pleasure and emotions for milk and cheese consumption. Lastly, low consumers expressed more distrust and disgust relating to milk consumption than high consumers. The majority of beliefs observed are consistent with earlier studies on milk or dairy product consumption. Consumers’ concerns about origins of milk, however, have never been reported. These findings will help optimize approaches for promoting consumption of these foods among different segments of Canadian adults.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".