MétaCan
Menu
Back to cohort
Record W2953949389 · doi:10.46743/2160-3715/2019.3570

A Qualitative Phenomenological Exploration of the Experiences of Individuals with Parkinson’s Disease Engaged in a Boxing Program

2019· article· en· W2953949389 on OpenAlexaff
Bradley MacCosham, Evan Webb, Jessica Oey, François Gravelle

Bibliographic record

VenueThe Qualitative Report · 2019
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEscapismPsychologyQualitative researchInterpretative phenomenological analysisParkinson's diseaseHealth psychologySocial isolationVariety (cybernetics)Developmental psychologyPhenomenology (philosophy)Clinical psychologyDiseaseSocial psychologyPsychotherapistMedicineNursingPublic healthSociology

Abstract

fetched live from OpenAlex

Boxing has emerged as a beneficial form of physical activity (PA) for individuals with Parkinson’s disease (PD). Research typically emphasizes the physical benefits of boxing for individuals with PD but neglects other aspects that could promote long-term engagement in such programs. This study qualitatively explored the experiences of individuals with PD who are engaged in a boxing program. A qualitative phenomenological methodology was utilized. Twelve participants took part in a semi-structured interview. Data were thematically analyzed. Analysis revealed that participants experienced a variety of physical, social, and psychological aspects. Findings suggest that participants perceived increases in physical abilities and concentration through prolonged engagement in the program and social support upon recently joining the program. Other themes were also uncovered such as coming out of isolation, relatedness, escapism, and sense of accomplishment. The knowledge generated from this study can be valuable for health professionals seeking to design and implement specialized PA programs to improve the health of individuals with PD.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.145
GPT teacher head0.451
Teacher spread0.306 · 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.

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

Citations10
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueThe Qualitative ReportSame topicCerebral Palsy and Movement DisordersFrench-language works237,207