Gastro-Intestinal Complaints Related to Various Eating Behaviors
Bibliographic record
Abstract
Background: Many studies report a beneficial health effect as well as a lower mortality rate for individuals following diets containing lots of fruits and vegetables. Results of studies on abdominal, and colon diseases are, however, inconsistent. Therefore, the aim of our study was to analyze differences between various eating behaviors and the incidence of gastro-intestinal complaints. Methods: The sample used for this study was taken from the Austrian Health Interview Survey ATHIS 2006/07 (N=14 318). Logistic regressions were calculated controlling for age, BMI, and physical activity to analyze differences regarding the incidence of gastric or intestinal ulcer, abdominal pain, and specific medication taken due to these complaints. Results: A lacto-/ovo-, as well as a semi-vegetarian diet is associated with a higher risk for gastrointestinal complaints. The odds ratio for gastric or intestinal ulcer, and the intake of specific medication is significantly higher for these diets. Conclusion: A carnivorous diet containing also lots of fruits and vegetables is recommended to avoid abdominal complaints. Furthermore, public health programs are needed in order to reduce the health risk due to nutritional factors.
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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 | 0.001 | 0.001 |
| 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) | 0.003 | 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".