Effect of cognitive rehabilitation for mild cognitive impairment in the geriatric population with early onset hypertension pretest -posttest design
Bibliographic record
Abstract
Introduction and Background: Hypertension is common among elderly and the risk of becoming hypertensive is increased considerably with age. It has a direct impact on the cognitive function. Hence it is important to examine whether the cognition related problems correlates with hypertension and is cognitive rehabilitation an effective intervention for the same. Objective: To assess and evaluate the cognitive function in early onset hypertensive geriatrics population for mild cognitive Impairment and to study the effect of cognitive rehabilitation for mild cognitive impairment. Materials and Methods: 84 Participants above 60 years of age with early onset hypertension were screened. The total 63 participants were recruited in the study as a sample of convenience as per the inclusion criteria. The outcome measures used were Montreal cognitive examined, Addenbrooke's cognitive examination, Mini mental state examination. Cognitive rehabilitation was given for 4 weeks (3 sessions per week). Results: Paired t-test and ANOVA was used for statistical analysis. Demographic data in relation to the outcome measures were also analyzed. The pre post analysis of all the three outcome measures, showed statistical significance results. Conclusion: Early onset hypertensive showed mild cognitive impairment and cognitive rehabilitation was found to be effective for improving the cognitive functions among elderly.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".