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Record W2158087503 · doi:10.1002/pon.881

Breast cancer survivors involved in vigorous team physical activity: psychosocial correlates of maintenance participation

2004· article· en· W2158087503 on OpenAlexaff
S. Nicole Culos‐Reed, Christopher Shields, Lawrence R. Brawley

Bibliographic record

VenuePsycho-Oncology · 2004
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychosocialBreast cancerPopulationQuality of life (healthcare)PsychologyGerontologyMental healthMedicineDemographyCancerEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Physical activity is increasingly being promoted as a means to achieve both physical and psychological benefits for cancer survivors. For women with breast cancer, one sport growing in popularity is dragon boating. The purpose of the present investigation was to examine the psychosocial correlates of dragon boat participation over the course of a season. Six crews completed the baseline (early-season) assessment (n = 109) and late-season assessments (n = 56). The self-report questionnaire completed at both time points included an assessment of the theory of planned behaviour variables, quality of life, cohesion, and physical activity levels. A prospective examination of the TPB variables revealed attitude at early season as the only significant predictor of behavioural intentions 12 weeks later at late season (R2 adjusted = 0.27, p < 0.001). Overall, the group environment was cohesive at a level similar to that for female sport teams among the asymptomatic population. As well, participants' health-related quality of life was similar to normal, healthy women of similar age for both mental and physical health.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.441
Teacher spread0.382 · 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 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

Citations51
Published2004
Admission routes1
Has abstractyes

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