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Record W120137781 · doi:10.1123/jsep.29.1.118

Benefits of a Physical Activity Intervention for Men with Prostate Cancer

2007· article· en· W120137781 on OpenAlexaff
S. Nicole Culos‐Reed, John Robinson, Harold Lau, Kathleen O’Connor, Melanie R. Keats

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2007
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsProstate cancerQuality of life (healthcare)MedicineIntervention (counseling)Physical therapyPhysical activityAndrogen deprivation therapyCancerGerontologyInternal medicineOncologyNursing

Abstract

fetched live from OpenAlex

The purpose of the current study was to examine the viability of conducting a theory-based physical activity (PA) intervention on men with prostate cancer, and the impact of PA on quality of life (QOL). Participants were 31 men, average age of 67 years, with localized or metastatic prostate cancer undergoing androgen deprivation therapy (ADT). Global QOL, fatigue, and PA measures were conducted at baseline and following the 12-week intervention. An additional follow-up testing was conducted 4 months following the intervention (n = 18). Both moderate and strenuous bouts of exercise, as well as functional capacity, increased significantly from pre- to posttest. Both fatigue severity and resting heart rate decreased significantly at posttest. A trend toward improved global QOL was also noted. It was concluded that a 12-week home-based PA intervention may provide health and QOL benefits for prostate cancer patients undergoing ADT. Practitioners are encouraged to promote PA for prostate cancer survivors.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.348
Teacher spread0.329 · 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 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

Citations98
Published2007
Admission routes1
Has abstractyes

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