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Record W4210756071 · doi:10.1136/bmjspcare-2021-003370

Case studies on psychosocial factors that help make exercise programmes for prostate cancer patients self-sustaining

2022· article· en· W4210756071 on OpenAlexaffabout
Isaac Nikolai Fox, Richard J. Wassersug

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of British ColumbiaEagle Ridge Hospital
Fundersnot available
KeywordsLeaguePsychosocialFootballProstate cancerPsychologyMedical educationPublic relationsMedicinePhysical therapyPolitical scienceCancer

Abstract

fetched live from OpenAlex

OBJECTIVES: Patients with prostate cancer (PCa) benefit from regular exercise, but it is difficult for patients to maintain an exercise regime. We examined two exercise programmes that have proven to be self-sustaining with the goal of identifying features they share that may contribute to their success. METHODS: We compared the FC Prostata football (soccer) league in Denmark and the 'Butts in a Boat' (BIAB) dragon-boating team in Canada. The FC Prostata Project Coordinator and the BIAB team leaders provided information on their programmes' history and structure. RESULTS: Both programmes are team-based with regularly scheduled intense exercise at their core. In both cases, social activities evolved spontaneously, starting with the men going out for food and/or drinks after practices. The sustainability of these programmes may be driven by the regular socialisation linked to the fitness activities. CONCLUSIONS: Our case studies suggest that exercise programmes for PCa patients may have a good chance of being self-sustaining, if they are: (1) centred around intense exercise, (2) of a team nature, (3) structured to promote egalitarianism and avoid one-on-one competition within teams, yet (4) have some competitions between teams. The data suggest that informal social activities organised by patients after team practices may be important for building fellowship and strengthening patients' commitment to exercise both for themselves and for their team members.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.066
GPT teacher head0.396
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 teacher head, not a consensus.

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

Citations1
Published2022
Admission routes2
Has abstractyes

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