Unraveling the connection between reproductive factors and cognitive function of post-menopausal women in South India
Bibliographic record
Abstract
Background This study is conducted to estimate the incidence of cognitive decline and analyze the correlation between reproductive factors and cognition in post-menopausal women. This study marks the first instance of community-focused research in the South Indian population, focusing on the link between cognition and reproductive factors in post-menopausal women using actual world data. Methods This cross-sectional study was accomplished in the community setting of Vellore District, in association with the Rotary Club of Anaicut, for 6 months. The study included post-menopausal women, aged 45 years or above, who had proficiency in reading and writing in English or Tamil. We applied the Montreal Cognitive Assessment (MoCA) scale to appraise cognitive function. A self-administered questionnaire was utilized to collect the data. The serum estradiol level was measured. We interpreted the obtained data using IBM Statistical Package for the Social Sciences (SPSS) software version 24. Results Of 300 post-menopausal women screened, about 256 participants met the required inclusion criteria. The average age of the participants was 55.88 ± 6.38 years. Mild cognitive impairment (MCI) was present in 73 % of the study participants, with a mean MoCA score of 21.68 ± 3.28. The present study findings revealed that the overall MoCA score declined with high parity (r = −0.123), earlier age at menopause (r = 0.311), lessened reproductive span (r = 0.337), and diminished estrogen levels (r = 0.425). Conclusion This study posited a robust link between cognitive function and reproductive factors. Considering the increased occurrence of MCI in post-menopausal women, the outcomes of this research offer significant perspectives for healthcare specialists and decision-makers in devising evidence-based approaches to prevent the progression of dementia in post-menopausal women.
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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 | 0.008 | 0.008 |
| 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 | 0.001 |
| 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 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".