Effect of Vegan Diet During Greek-Orthodox Religious Fasting on Symptoms of Disorders of Gut-Brain Interaction
Bibliographic record
Abstract
BACKGROUND AND AIMS: Religious fasting observed in diverse populations may influence the reporting of digestive symptoms. Greek-Orthodox (Byzantine style) religious fasting is prolonged and similar to a vegan diet. We aimed to evaluate the association between functional gastrointestinal symptoms and disorders of gut-brain interaction (DGBI) with this religious fasting. METHODS: We investigated Romanian participants in the Rome Foundation Global Epidemiology Study who observe Greek-Orthodox religious fasting, by adding specific questions on religious fasting to the study questionnaire. Data were analyzed in connection with the reported gastrointestinal symptoms. RESULTS: 2015 Romanians were included in the analyses. Overall, 716 (35.5%) of the respondents practiced some fasting, of which 446 (62.3%) fasted on Easter and Christmas, 90 (12.6%) observed all fasts, and 625 (87.3%) practiced weekly fasting. Of the latter, 167 (23.3%) fasted every week and 90 (12.6%) reported symptoms during fasting. There were no statistically significant associations between Greek-Orthodox fasting, to any degree, with upper or lower DGBI or gastrointestinal symptoms. CONCLUSIONS: The results from this representative sample show that a substantial proportion of the Romanian population adheres to Greek-Orthodox fasting. However, in contrast to the a priori hypothesis, we did not have sufficient evidence that religious fasting is associated with the prevalence of DGBI, or with functional gastrointestinal symptoms.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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 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".