A325 HEALTH PROFESSIONAL AND COMMUNITY PERCEPTIONS REGARDING NUTRITION GUIDELINE CONTENT FOR THE GLUTEN FREE DIET.
Bibliographic record
Abstract
Celiac Disease (CD) is a common autoimmune gastrointestinal disorder in children, treated through strict adherence to a gluten free diet (GFD). Gluten free (GF) foods often have high levels of simple sugars, glycemic index, glycemic load and saturated fat, and are low in important micronutrients. This can lead to an increased risk for suboptimal nutrient intake and for obesity. Current national guidelines (Canada’s Food Guide to Healthy Eating) do not address the optimal GFD. Thus, a specialized GF food guide to help families make healthy gluten free food choices would be beneficial. This should target health professionals, individuals with CD and their caregivers to ensure the nutritional needs of children and youth consuming the GF diet is met. To probe health professionals (HP), CD patients and their caregivers with in regards to content development for a gluten free nutrition guide. Two internet surveys (one for HP, one for members of the community) were disseminated via the Canadian Celiac Association –Chapter’s Facebook/web-pages. Survey content addressed demographic variables (province, urban/non-urban, CD diagnosis, type of HP practice) and perceptions regarding the content of a food guide (nutrition topics, menu planning, etc). Descriptive statistics and thematic analysis were used to analyze closed and open-ended questions, respectively. 405 individuals responded to the surveys (246 HP and 159 families). Respondents in the HP survey were mainly registered dietitians (80%) who saw pediatric CD 1–5 times per month (82%). Family respondents were caregivers, 31–40 years old (34%), who has a child with CD (51%) from Alberta (74%). HP wanted to see information on plant-based meal plans (64%), label reading (93%) and selection of processed foods (81%). Family respondents wanted to see information on CD (95%) and restaurant menu choices (72%). Both groups wanted modules on school friendly recipes and cafeteria menu options and information on added sugars (80%) and iron (82%). HP and families want a resource that includes information on micronutrient deficiencies in the diet and topics such as label reading and restaurant menu selection. Canadian Celiac Association - Edmonton Chapter
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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 | 0.013 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".