Is the taste, price and availability of gluten-free foods a deciding factor for adherence to a doctor-prescribed gluten-free diet?
Bibliographic record
Abstract
Introduction:The number of people suffering from coeliac disease continues to grow and so does the global market for gluten-free food production.Currently, the availability of gluten-free foods is widespread, especially on websites, but people who do not have access to the internet, source these foods from local shops, supermarkets or pharmacies, where prices are several times more expensive, which has a significant impact on the economic and social status of the patient.Aim: To determine patient satisfaction with the availability of gluten-free foods. Material and methods:The research was conducted in eastern Slovakia by means of an anonymous questionnaire.Patients diagnosed with coeliac disease (150) completed the questionnaire during a preventive check-up at the gastroenterology outpatient clinic in Humenne. Results:In our research, we investigated the association between improvement in the patient's health status and adherence to a gluten-free diet.At the same time, we were interested in whether patients who take a gluten-free diet suffer from anaemia and avitaminosis.Both assumptions were confirmed on the basis of statistical results.Conclusions: Currently, the availability of these foods is convenient mainly because of internet offers.However, people who do not have access to the internet or are unable to order food are left to buy food from brick-and-mortar stores or pharmacies where these products are more expensive.A factor affecting adherence to the diet is the taste of the food, which has significantly decreased after gluten has been removed from the preparation formula, which may deter many patients from eating it. Key wOrdsmalnutrition, gluten-free diet, gluten allergy, coeliac disease.
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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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".