Depression among Elderly of Chhayanath Rara Municipality, Mugu, Nepal: An Observational Study
Bibliographic record
Abstract
Introduction: Depression is an important public health issue responsible for considerable morbidity and mortality among elderly. There were very few studies related with depression among elderly from rural community of Nepal. The objectives were to assess depression among elderly in Chhayanath Rara municipality. Methods: An observational cross-section study was conducted among 387 elderly through face-to-face interviews by using Geriatric Depression Scale-short scale (GSD 15) in a municipality of Nepal. Ethical Approval was taken from Institutional Review Committee (Reference Number: 079/80-015 ). Data were entered and analyzed into SPSS version 20. Descriptive statistics was employed to assess the prevalence of elderly depression. Results: The prevalence of depression among elderly was found to be 282 (72.87%; 95% CI: 68.44%-77.30%). Of those, 124 (32.04%) experienced mild depression, 115 (29.72%) had moderate depression, and 43 (11.11%) suffered from severe depression. Conclusions: The prevalence of depression in elderly was found higher compared to previous studies and other population.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".