Assessment of the Symptoms of Premenstrual Syndrome in Physically Active and Sedentary Adult Women
Bibliographic record
Abstract
To assess the symptoms of premenstrual syndrome (PMS) and the nutritional status of physically active and sedentary adult women. This case-control study included 60 women, aged 18 to 35 years, recruited from two fitness centers or from an outpatient nutrition clinic. Four evaluations were conducted, on the follicular and luteal phase in two months. Questionnaires were applied to collect information about the socioeconomic condition and PMS symptoms. Weight and height were measured to calculate body mass index. Electrical bioimpedance was used to determine body composition, and food consumption was assessed using a food frequency questionnaire. The Student's t test and Chi-square test were applied to compare means and proportions between the groups. The occurrence of PMS was observed in 63.3% of women in the physically active group and 86.7% of participants in the sedentary group (p=0.074). Analysis of results relative to food consumption showed in the physically active group a low calorie consumption in 53.3% and 33.3% of the participants in the pre- and post-menstrual phases, respectively (p=0.039). In the sedentary group, a high calorie consumption was observed in 43.3% and 23.3% of the participants in the pre- and post-menstrual phases, respectively (p=0.007). The sedentary group presented carbohydrate consumption of 281.9 ± 61.1 grams and 252.1 ± 55.9 grams in the pre- and post-menstrual phases, respectively (p=0.001); increased consumption of lipids was also observed in these phases, 74.4 ± 23.4 grams 63.2 ± 19.4 grams, respectively (p=0.001). The results show that the sedentary group presents an increased frequency of PMS and increased consumption of calories, carbohydrates, lipids and sodium. In the physically active group there was association between reactance and fat percentage.
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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) | 0.001 | 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".