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Record W1141444570 · doi:10.1188/15.onf.527-533

Breast and Colon Cancer Survivors’ Expectations About Physical Activity for Improving Survival

2015· article· en· W1141444570 on OpenAlexaffabout
Kristina H. Karvinen, Jeff K. Vallance

Bibliographic record

VenueOncology nursing forum · 2015
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsAthabasca UniversityNipissing University
Fundersnot available
KeywordsMedicineBreast cancerColorectal cancerPhysical activityCancerPhysical therapyOncologyOutcome (game theory)Internal medicine

Abstract

fetched live from OpenAlex

PURPOSE/OBJECTIVES: To compare physical activity outcome expectations related to cancer survival with traditional physical activity outcome expectations in breast and colon cancer survivors . DESIGN: Cross-sectional survey . SETTING: Canada and the United States. SAMPLE: 146 participants . METHODS: Self-reported survey instruments and height and weight measurement. The online survey was completed once by each participant . MAIN RESEARCH VARIABLES: Godin Leisure-Time Exercise Questionnaire, Multidimensional Outcome Expectations for Exercise Scale (MOEES), and an item assessing physical activity outcome expectations related to cancer survival. FINDINGS: Paired sample t tests indicated that the mean score for the physical subscale of the MOEES was significantly higher than the mean score on the physical activity outcome expectations related to cancer survival variable (p < 0.001). Multiple regression analyses indicated that physical activity outcome expectations related to cancer survival explained 4.8% of the variance in physical activity (p = 0.011) . CONCLUSIONS: Findings from the current study suggest that, among breast and colon cancer survivors, outcome expectations related to cancer survival may influence physical activity levels and may not be as realized as traditional outcome expectations . IMPLICATIONS FOR NURSING: Oncology nurses should familiarize themselves with the guidelines and benefits of physical activity for survivors so they can provide guidance and support to patients.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.038
GPT teacher head0.373
Teacher spread0.335 · 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 designOther design
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

Citations11
Published2015
Admission routes2
Has abstractyes

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