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Record W2413345039

Quebecers with celiac disease: analysis of dietary problems.

2001· article· en· W2413345039 on OpenAlexaffabout
Pascale Lamontagne, Grethlyn West, Isabelle Galibois

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineDiseaseGluten freeGlutenResidenceConfidence intervalFamily medicineInternal medicinePediatricsEnvironmental healthDemographyPathology
DOInot available

Abstract

fetched live from OpenAlex

The only known treatment for celiac disease is lifelong avoidance of dietary gluten. For many sufferers from celiac disease, this may be difficult to achieve. The purpose of this study was to analyse dietary habits and related problems of adults afflicted with celiac disease. A questionnaire was mailed to 617 current and former members of the Quebec Celiac Foundation to document health, dietary habits, sources of celiac disease treatment information, daily concerns, and level of difficulty in complying with a gluten-free diet. The final sample size was 234 (75% female). Results indicated that over 35% of participants experienced intestinal discomfort at least twice a week. In addition, 66% felt that their consumption of grain products was insufficient. Only 44% said they had received from dietitians a large quantity of information about celiac disease treatment, and only 57% had a high level of confidence in the information received from dietitians. Thirty-six percent reported difficulty in complying with the gluten-free diet. According to a probit analysis, larger region of residence (p<0.02) and concern about preparing meals (p<0.005) were directly related to difficulty in complying, while older age (p<0.05), satisfaction with gluten-free products (p<0.01), and a high level of confidence in treatment information from gastroenterologists and dietitians (p<0.005) were inversely associated with compliance difficulty. Awareness of these results should encourage dietitians to improve their skills in treating celiac disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.253
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations45
Published2001
Admission routes2
Has abstractyes

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