P3‐527: FACTORS AFFECTING COGNITION IN THE ELDERLY: A HOSPITAL BASED PROSPECTIVE STUDY
Bibliographic record
Abstract
Aging is complex biological process. Studies from high income countries had shown that education, frailty and lifestyle factors have effect on cognition. However, there is paucity of research from India. To prospectively study the cognitive ability in three groups Viz. Normal healthy elderly (NHE)), MCI and mild AD. We also studied the well- known risk factors of cognitive decline and their relation. Total of 27 MCI subjects, 36 Mild AD and 37 NHE were recruited as part of previous study. These subjects were followed up and were re-interviewed after a year using NIMHANS Neuropsychological Battery for Indian Elderly (NNBE) and Cumulative Illness Rating Scale for Geriatrics (CIRS-G), Reported Edmonton frailty index, lifestyle questionnaire (diet, physical activities, leisure activities, social network). Composite follow-up neuropsychology score (indicated as f-NC) was derived using Z-scores. Total of 21 MCI subjects, 18 Mild AD and 21 NHE were available for follow-up and their mean age was 72.4 ±6.63 yrs., 68.8 ±8.5 yrs. and 66.4 ±7.64 years respectively. MCI showed decline in fluency (p<0.01) and planning domains (p<0.01). Mild AD showed decline in verbal memory (p-0.03), visuo-spatial ability (P<0.01) fluency (p-0.02), executive functions (p<0.01). In the NHE, decline noted in fluency (p-0.02) and logical memory (p-0.011). There was significant difference between the three groups with NHE having higher years of education (p<0.01), physical activity (p<0.01), leisure activities (p<0.01), social network (p-0.02) and frailty (p<0.01) compared to MCI and mild AD group. Yrs. of education (r=0.44, p<0.01), physical activity (r=0.61,p<0.01), leisure activities (r=0.43,p-0.01), social network (r=0.36,p<0.01) and frailty (r=−0.61,p<0.01) had significant correlation with Composite f-NC. Whereas diet score and CIRS-G do not have significant correlation with f-NC. Multivariate regression analysis showed, 54% of variance in f-NC score can be explained by Yrs. of education, lifestyle factors and frailty. The study shown that cognitive decline in different in these groups. In MCI there was decline in executive domain and in NHE along with executive domain, memory had declined. In Mild AD there was decline in multiple domains. Yrs. of education and lifestyle factors has positive effect on cognition.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".