What is the influence of menopausal status on metabolic profile, eating behaviors, and perceived health of obese women after weight reduction?
Bibliographic record
Abstract
The duration of the numerous weight-loss studies that combine physical activity and diet varies from 3 to 14 months, and these studies have often considered pre- and postmenopausal women separately. The purpose of this study was to compare the effects of a 3-week weight-reducing program that combines caloric restriction and exercise on the metabolic profile, eating behaviors, and perceived health of sedentary obese pre- and postmenopausal women, after adjustment for age. In 10 pre- and 22 postmenopausal women, before and after weight loss, body composition, fasting lipid-lipoprotein profile, glucose and insulin levels, eating behaviors, and perceived health state were assessed. Body mass index, fat mass, and waist girth decreased after weight reduction in both groups (p < 0.0001). Reductions in fasting serum cholesterol and low-density lipoprotein-cholesterol levels were greater in pre- than in postmenopausal women (p < 0.0001), whereas triacylglycerol, glucose, and high-density lipoprotein-cholesterol levels decreased similarly in both groups (p < 0.05). Neither fasting insulin nor free fatty-acid concentrations were modified after weight loss in either group. Disinhibition (p < 0.005) and hunger scores on the three-factor eating questionnaire (TFEQ) (p < 0.05) and the state-anxiety score on the state-trait anxiety inventory (STAI) questionnaire (p < 0.0005) decreased in both groups, but restriction (TFEQ) increased (p < 0.01) and trait anxiety (STAI) decreased (p < 0.001) after weight reduction only in premenopausal women. Improvements in selected lipid-lipoprotein indices, eating behaviors, and perceived health-state components were better in pre- than in postmenopausal women, suggesting that menopausal status has an influence on some metabolic and behavioral responses to weight loss.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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".