A Cross Sectional Study on Assessment of Cognitive Impairment and Behavioural Risk Factors Among Senior Citizens Living in Old Age Homes in Chengalpattu District, Tamilnadu
Bibliographic record
Abstract
Background: Ageing is an irreversible, unavoidable, universal phenomenon accompanied by gradual reduction in functional capacity of the elderly. The number of elderly populations in India is expected to triple reaching 2 billion. This study aims to estimate the prevalence of cognitive impairment and evaluate the association between various socio demographic and behavioural risk factors. Methodology: This descriptive cross-sectional study was carried among 330 senior citizens living in old age homes by using a two-stage multistage sampling method. A standardized pretested structured questionnaire containing Brief Interview for Mental Status (BIMS) scale was used. Data was analysed using SPSS (Version 22). Results: Among 330 study respondents, around 44% had mild -to- moderate cognitive impairment and 36% had severe cognitive impairment. Nearly 74.8% have their habit of regular physical activity. Among the study subjects approximately 4% of them were current smokers, 5.2% had the habit of regular alcohol consumption previously. Conclusion: Integration of NPHCE and NMHP can be beneficial in early diagnosis of mild cognitive impairment during weekly outpatient visits at PHC. Level of attention given towards Alzheimer’s disease is more when compared to screening for cognitive impairment which is an early precursor for Alzheimer’s Disease.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".