Canadian dietitians’ views and practices regarding obesity and weight management
Bibliographic record
Abstract
OBJECTIVE: To provide insight into Canadian dietitians' attitudes and practices regarding obesity and weight management. DESIGN: Cross-sectional mail survey of a stratified random sample of members of Canadian dietetic associations. SUBJECTS: A total of 514 dietitians (74% of those surveyed), 350 (69%) of whom actively counselled overweight/obese clients. MEASUREMENTS: Participants received a questionnaire to assess dietitians' attitudes regarding obesity and overweight, views regarding their role in weight management, counselling practices, and the criteria used to judge success. Demographic variables were collected. RESULTS: Most dietitians believed that obesity contributes to morbidity and mortality, and that small weight losses produced important health benefits. However, 80% agreed that health indicators other than weight loss should be the focus of obesity management, and 55% specifically recommended that clients not weigh themselves. Instead, weight management was promoted by recommending healthy eating and increased physical activity. Three-quarters agreed that they are the profession best trained to manage obesity but two-thirds believed their time would be better spent preventing rather than managing obesity. Dietitians most valued education received from on-the-job support and mentoring from other dietitians. Participants reported wanting to learn more about motivational and behavioural modification counselling techniques. CONCLUSIONS: Canadian dietitians follow a lifestyle approach to weight management. Studies are required to formally assess the effectiveness of various aspects of this approach.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".