Gastrointestinal symptoms before and during menses in healthy women
Bibliographic record
Abstract
BACKGROUND: Little is known as to the extent gastrointestinal (GI) complaints are reported by women around menses. We aimed to describe GI symptoms that occurred premenstrually and during menses in healthy women, and to specifically assess the relationship of emotional symptoms to GI symptoms around menses. METHODS: We recruited healthy, premenopausal adult women with no indication of GI, gynecologic, or psychiatric disease who were attending an outpatient gynecology clinic for well-woman care. They completed a survey that queried menstrual histories and the presence of GI and emotional symptoms. We compared the prevalence of primary GI symptoms (abdominal pain, diarrhea, constipation, nausea, vomiting), as well as pelvic pain and bloating, in the 5 days preceding menses and during menses, and assessed whether emotional symptoms or other factors were associated with the occurrence of GI symptoms. RESULTS: Of 156 respondents, 73% experienced at least one of the primary GI symptoms either pre- or during menses, with abdominal pain (58% pre; 55% during) and diarrhea (24% pre; 28% during) being the most common. Those experiencing any emotional symptoms versus those without were more likely to report multiple (2 or more) primary GI symptoms, both premenstrually (depressed p = 0.006; anxiety p = 0.014) and during menses (depressed p < 0.001; anxiety p = 0.008). Fatigue was also very common (53% pre; 49% during), and was significantly associated with multiple GI symptoms in both menstrual cycle phases (pre p < 0.001; during p = 0.01). CONCLUSIONS: Emotional symptoms occurring in conjunction with GI symptoms are common perimenstrually, and as such may reflect shared underlying processes that intersect brain, gut, and hormonal pathways.
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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 | 0.002 |
| 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) | 0.002 | 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".