COGNITIVE FUNCTION OF THE ELDERLY IN PALEMBANG CITY NURSING HOMES: AN EPIDEMIOLOGICAL STUDY
Bibliographic record
Abstract
Elderly refers to individuals who have reached the final stage of life, namely 60 years old and above. Physiologically, the elderly will experience various declines in body functions. The decline in cognitive function is among the most common in the elderly. The incidence of cognitive decline in the elderly in Indonesia is relatively high, which is as much as 32.4%, and is most vulnerable at the age of 65 years. Cognitive impairment can cause older adults to have difficulty in doing daily activities (bathing, dressing, washing, cooking), managing finances, getting lost on the road, and other disturbances that make the elderly less independent and confident, then tend to withdraw from social activities. The disturbances can also lead to anxiety disorders and depression. This study aims to determine the profile of cognitive function in the elderly at Palembang Nursing Homes. This cross-sectional study involves all elderly individuals in Palembang City Nursing Homes who meet the inclusion-exclusion criteria. The Indonesian version of the Montreal Cognitive Assessment (MoCA-Ina) was used to assess cognitive function. In this study, as many as 69 elderly (87.34%) had experienced a decline in cognitive function. Then, the dominant characteristics in the group that experienced a decrease in cognitive function were >90 years old (100%), women (91.38%), college graduates (100%), never worked (100%), had a history of stroke (92.86%), did not remember or did not know about cognitive impairment history in the family (93.33%). Delayed recall was the aspect that experienced the most disruption (96.2%). This study has revealed that the prevalence of cognitive impairment in Palembang Nursing Homes is exceptionally high. Therefore, it is imperative to implement routine screenings to identify early cognitive impairment in the elderly to provide immediate treatment.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".