Prediction of adherence to a gluten‐free diet using protection motivation theory among adults with coeliac disease
Bibliographic record
Abstract
BACKGROUND: Coeliac disease is a chronic autoimmune disease that requires strict adherence to a gluten-free diet. However, strict adherence to a gluten-free diet is difficult, with findings from a recent review suggesting that up to 42% of individuals with coeliac disease do not eat a strict gluten-free diet. METHODS: The present study aimed to examine psychosocial predictors of adherence (purposeful and accidental) to a gluten-free diet among adults with coeliac disease over a 1-month period. In this longitudinal study, 212 North American adults with coeliac disease completed online questionnaires at two time points, baseline and 1 month later. RESULTS: The results revealed that intentions partially mediated the effects of symptom severity, self-regulatory efficacy, planning and knowledge on purposeful gluten consumption. Intentions did not mediate the effects of severity, response cost, self-regulatory efficacy, planning and knowledge for accidental gluten consumption but, interestingly, self-regulatory efficacy directly predicted fewer accidental incidents of gluten-consumption. CONCLUSIONS: These findings delineate the differential psychological processes in understanding accidental and purposeful gluten consumption among adults with coeliac disease and emphasise the importance of bolstering self-regulatory efficacy beliefs to prevent accidental and purposeful consumption of gluten.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".