Prevalence of metabolic syndrome in pre- and postmenopausal Iranian women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND AIMS: The metabolic syndrome (MetS) is a constellation of risk factors increasing the risk of developing cardiovascular disease and diabetes. Little information is available on the association between MetS and menopausal status in Iranian women. Therefore, the purpose of the current study was to examine the prevalence and severity of MetS in pre- and postmenopausal women based on two commonly employed assessment criteria. METHODS: A total of 490 premenopausal and 434 postmenopausal women from the Shiraz Women's Health Cohort Study were included in the study. MetS was defined according to the criteria of the National Cholesterol Education Program-Adult Panel Treatment III (NCEP-ATPIII) and the International Diabetes Federation (IDF). Clinical, biochemical and anthropometric measures were collected from all study participants for determination of MetS. RESULTS: The majority of participants had at least two components of MetS. Postmenopausal women, compared to premenopausal women, had a higher prevalence of MetS. The prevalences of MetS were 60.2% and 59.4% based on the NCEP-ATPIII and IDF definitions, respectively. Waist circumference, waist-to-hip ratio, blood pressure, and levels of fasting plasma glucose, total cholesterol, low density lipoprotein cholesterol, and triglycerides were higher in postmenopausal women compared to premenopausal women. CONCLUSIONS: MetS is a major threat to women's health and an aging population, and longitudinal studies to determine the mechanism of postmenopausal MetS are required.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it