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Record W2088971132 · doi:10.1007/s10350-008-9324-2

Associations Between Exercise, Quality of Life, and Fatigue in Colorectal Cancer Survivors

2008· article· en· W2088971132 on OpenAlexaffabout
Carolyn J. Peddle‐McIntyre, Heather‐Jane Au, Kerry S. Courneya

Bibliographic record

VenueDiseases of the Colon & Rectum · 2008
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineColorectal cancerQuality of life (healthcare)Physical therapyConfidence intervalCancerRandomized controlled trialInternal medicineColorectal surgeryNursing

Abstract

fetched live from OpenAlex

PURPOSE: This study was designed to examine quality of life and fatigue in colorectal cancer survivors meeting and not meeting public health exercise guidelines. METHODS: A Canadian provincial cancer registry identified colorectal cancer survivors who were mailed a questionnaire that assessed self-reported exercise, quality of life (Functional Assessment of Cancer Therapy - Colorectal), fatigue, medical, and demographic variables. RESULTS: Completed questionnaires were received from 413 (61.3 percent) eligible colorectal cancer survivors. Only 25.9 percent of colorectal cancer survivors reported meeting exercise guidelines. Colorectal cancer survivors meeting public health exercise guidelines reported clinically and significantly better quality of life (mean difference, 6; 95 percent confidence interval, 2.3-9.8; P = 0.002) and fatigue (mean difference = 5.2; 95 percent confidence interval, 2.9-7.5; P < 0.001). Differences remained after adjusting for medical and demographic factors. Cancer site (i.e., colon vs. rectal) was the only variable to moderate this association (P < 0.05 for interaction). CONCLUSIONS: Colorectal cancer survivors meeting public health exercise guidelines reported significantly and meaningfully better quality of life and fatigue scores than colorectal cancer survivors who did not meet guidelines. Prospective observational studies and randomized, controlled trials are needed to further assess the causal nature of these relationships.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.994

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 head0.047
GPT teacher head0.324
Teacher spread0.277 · 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

Citations111
Published2008
Admission routes2
Has abstractyes

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