Relationship between spicy food intake and chronic uninvestigated dyspepsia in Iranian adults
Bibliographic record
Abstract
OBJECTIVE: To assess the association between spicy food consumption and chronic uninvestigated dyspepsia (CUD) in a large sample of Iranian adults. METHODS: In this cross-sectional study we assessed the consumption of spicy foods in 4763 Iranian adults living in Isfahan Province using a dietary habit questionnaire. A modified validated version of the Rome III questionnaire was used to assess CUD-related symptoms. CUD was defined as having one or more of the following characteristics: distressing postprandial fullness, early satiation and/or epigastric pain or epigastric burning at least often during the past three months. Information on meal regularity, meal frequency, intra-meal intake of fluid as well as other potential confounders was also collected. RESULTS: CUD was prevalent in 15% of the participants. The frequent consumption of spicy foods (≥ 10 times/week) was associated with greater odds of having CUD [odds ratio (OR) 1.64, 95% confidence interval (CI) 1.09-2.49, P < 0.05). This relationship was significant even after adjusted for diet-related practices (OR 1.68, 95% CI 1.01-2.79, P < 0.05). There was a significantly positive association between spicy food consumption and postprandial fullness (OR 1.76, 95% CI 1.29-2.40, P < 0.05) and epigastric pain (OR 1.78, 95% CI 1.30-2.44, P < 0.05). However, no significant relationship was observed between the frequent consumption of spicy foods and early satiation. CONCLUSIONS: High consumption of spicy foods is associated with greater odds of CUD, frequent postprandial fullness and epigastric pain. Further studies, particularly of a prospective nature, are needed to confirm our findings.
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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 | 0.004 |
| 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".