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Record W2135155915 · doi:10.3109/07380577.2012.692174

Themes Associated With Exercise Adherence in Persons With Parkinson's Disease: A Qualitative Study

2012· article· en· W2135155915 on OpenAlexaff
Alexander M. Crizzle, Ian Newhouse

Bibliographic record

VenueOccupational Therapy In Health Care · 2012
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsLakehead University
Fundersnot available
KeywordsFocus groupQualitative researchPsychologyHydrotherapyDiseaseParkinson's diseasePhysical activityMedicinePhysical therapyClinical psychologyAlternative medicine

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of this study was to examine motivators important to exercise adherence in a group of older adults with Parkinson's disease (PD). Four participants with PD completed a 6-week hydrotherapy program, followed by participation in a focus group along with their caregivers (n = 4) to examine motivators that were important to exercise adherence. A semi-structured focus group was transcribed verbatim and analyzed using content analysis to identify common patterns and themes. Multiple themes were found that were important to exercise adherence. Constant reassurance and support from the exercise leader was a primary theme for remaining enrolled in an exercise program. Exercising in a group environment and social interaction with other persons with PD were also the themes. Perceived changes in physical ability increased participants' confidence and motivation to continue to exercise. The findings suggest that the perceived needs of PD exercise participants can be influenced and addressed by exercise leaders, provide opportunities to improve physical function, and support social interaction. Future exercise programs should be designed to provide a venue where the symptoms of PD are not a deterrent to exercise participation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.398
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations50
Published2012
Admission routes1
Has abstractyes

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