A cross sectional study to assess the knowledge, attitude and risk of Parkinson Disease among older adults
Bibliographic record
Abstract
Parkinson`s Disease, a progressive nervous system disorder, involves the deterioration of nerve cells in the brain, leading to symptoms like movement difficulties, tremors, stiffness, and impaired balance. Beyond motor symptoms, non-motor complications such as neurobehavioral issues, autonomic dysfunction, sensory problems, depression, anxiety, rapid eye movement, sleep behavior disorder and dementia are also significant aspects of the disease. Aim: The study aims to assess the knowledge, attitude and risk of Parkinson Disease among older adults. Methods: Non experimental research design and Purposive Sampling technique were used. Structured knowledge questionnaire and dichotomy scale for assessing attitude and risk assessment using Montreal Cognitive assessment Scale. Results: The participants were grouped into 50-55 years is (33%),55 -60 years (30%),60-65 years (24%),65-75 years (35%). Age group of 50-55 yrs has good knowledge on Parkinson disease.The age group of 50-55 years has good attitude 34.9%. 55-60 years has fair attitude 41%. Male has good attitude 50.4% than females. Male has good knowledge 53.3% than females. The mean score for risk is >4 , were participants those at risk is 25% in all age groups. Among the age group assessed by using Montreal Cognitive Assessment Scale 50-55 years is 31.3 % and male is 56.3% which shows high risk for developing Parkinson Disease. Conclusion: The study concluded that tremors were found to be risk factor among the participants assessed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".