EFFECT OF CHANGE IN ESTROGEN LEVELS ON COGNITIVE FUNCTIONS IN PREMENOPAUSAL, EARLY PERIMENOPAUSAL AND LATE PERIMENOPAUSAL FEMALES: A HOSPITAL BASED CROSS-SECTIONAL STUDY
Bibliographic record
Abstract
Background: There is an established link between the change in levels of Estrogen and its affect on mental health in middle age females. Objective: To see the correlation between serum Estrogen levels and cognitive functions in the study groups. Methods: This was a hospital based crosssectional study involving a total of 90 females who were divided into three groups of 30 females each, based on their age and menstrual history.These groups were premenopausal(31-35 years ) ,early perimenopausal( 36-40 years,),late perimenopausal (41- 45 years).The level of serum Estrogen was estimated in all the study subjects and their cognitive assessment was done using Montreal Cognitive Assessment scale(MoCA). One way ANOVA was used to asses the signicance. Results: There is a correlation between cognitive decline and serum estrogen levels in late perimenopausal age group as compared to early perimenopausal and premenopausal age group. Conclusion: There is a signicant relationship between estrogen levels and cognitive functions in middle aged females.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".