Health perception in menopausal women
Bibliographic record
Abstract
Aim: The aim of this study is to find whether the worsening of health perception was related to the menopausal (MNP) state or to its negative consequences on cardiometabolic risk factors (CMRF) and the presence of depression/anxiety. Methods: In this study, 2,562 women, 1,357 (53%) MNP and 1,205 (47%) non-MNP, were analyzed. Blood pressure, heart rate, body mass index, waist circumference, and depression/anxiety screening using the Hospital Depression/Anxiety Scale (HADS) were measured. We collected a blood sample in fasting state for glycemia, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglycerides. Logistic regression models were fitted with a backward method from the potentially confusing variables of the menopause study groups. Results: Age 49.4 (±15.9) years; 10.1% belonged to semi-rural population; 87.5% had children. Regarding the educational level, 22.1% had <5 years of education, 31.3% had between 6 and 7 years, 33.4% had between 8 and 12 years, and 13.2% had >12 years of education. The prevalence of CMRF was significantly higher in MNP women, except for smoking. We did not find any differences in the prevalence of depression or anxiety between MNP and non-MNP women. Health was perceived as worse among MNP women ( P <0.05) and patients over 45 years of age than patients younger than 45 years. We found a relationship between the negative health perception with metabolic syndrome, depression, and anxiety, having children, smoking, residing in rural area, and low educational level; nevertheless, it is not correlative with MNP status. Conclusion: Perceived health should be viewed as a multifaceted condition related to social circumstances, and various symptoms in women, including menopause symptoms, but not with MNP state itself. Keywords: menopause, health perception, depression, anxiety, metabolic syndrome
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".