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A cross sectional study to assess the knowledge, attitude and risk of Parkinson Disease among older adults

2024· article· en· W4402692479 on OpenAlexaboutno aff
Marjorie Miraclin K, S Deekshitha, M. Banumathi, M Sarthaj, Keerthana V. Arunachalam

Bibliographic record

VenueWorld Journal of Biology Pharmacy and Health Sciences · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsCross-sectional studyParkinson's diseaseDiseaseGerontologyMedicinePsychologyEnvironmental healthInternal medicinePathology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.136
GPT teacher head0.559
Teacher spread0.422 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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