Does nutrition information on menus impact food choice? Comparisons across two hospital cafeterias
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Food prepared and consumed away from home accounts for a significant proportion of dietary intake among Canadians. Currently, Canadians receive little or no nutrition information when eating in restaurant and fast-food outlets. The present study examined the impact of nutrition information on menus in hospital cafeterias on noticing and perceived influence of nutrition information and on food consumption. DESIGN: Cross-sectional surveys. SETTING: Exit surveys (n 1003) were conducted in two hospital cafeterias. The 'intervention' site featured energy (calorie), sodium and fat content on digital menu boards, as well as a health logo for 'healthier' items. The intervention site had also revised its menu items to improve the nutrient profiles. The 'control' site provided limited nutrition information at the point of sale. SUBJECTS: Cafeteria patrons recruited using the intercept technique. RESULTS: Significantly more respondents at the intervention site reported noticing nutrition information (OR = 7·6, P < 0·001) and using nutrition information to select their food items (OR = 3·3, P < 0·001) compared with patrons at the control site, after adjusting for sociodemographic factors. Patrons at the intervention site consumed significantly less energy (-21 %, P < 0·001), sodium (-23 %, P < 0·001), saturated fat (-33 %, P < 0·001) and total fat (-37 %, P < 0·001) than patrons at the control site. CONCLUSIONS: A nutritional programme, including nutrition information on menus and improved nutrition profile of food offerings, was associated with substantial reductions in energy, sodium and fat consumption. The results are consistent with a positive impact of menu labelling.
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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 | 0.000 | 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 | 0.000 | 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 it