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Associations Among Adherence, Satisfaction, And Intentions In A Canada-wide Exercise Oncology Implementation Study

2024· article· en· W4402661772 on OpenAlexaffabout
Chad W. Wagoner, Julianna Dreger, Daniel Sibley, Jodi Langley, Melanie R. Keats, Margaret L. McNeely, Colleen Cuthbert, Linda Trinh, Kristin Campbell, S. Nicole Culos‐Reed

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of British ColumbiaDalhousie UniversityUniversity of TorontoUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineOncologyInternal medicineFamily medicinePsychology

Abstract

fetched live from OpenAlex

Promoting adherence and building behavior change skills for continued engagement in exercise behavior is important. Satisfaction, a measure of program acceptability, fosters adherence as well as exercise intentions. PURPOSE: To evaluate the relationship between program adherence, satisfaction, and exercise intentions in the EXercise for Cancer to Enhance Living Well (EXCEL) study. METHODS: Individuals with cancer up to 3 years post treatment with any tumor type were eligible. Delivered in a positive motivational climate to support behavior change, EXCEL’s intervention includes group-based exercise for 10-12 weeks, twice weekly. Exercise behavior change topics to support intentions to exercise are delivered by a qualified exercise professional and include self-monitoring, goal setting, relapse prevention, fatigue management, and social support. Adherence was the number of classes attended over the total number of possible classes (20-24), reported as a percentage. Satisfaction surveys (post-intervention) assessed satisfaction with staff support, the exercise program, level of study burden, degree of reward experienced, as well as intentions to continue to exercise. Unadjusted univariate analyses evaluated relationships between adherence (response variable), each satisfaction measure, and intentions (exposure variables). RESULTS: A total of 343 participants (57.9 years; 83.7% female; 49.6% breast cancer diagnosis) were included, with a mean adherence of 82.9%. Higher adherence rates were associated with higher satisfaction overall (ß = 0.585; p < 0.001), including with study staff support (ß = 0.780; p < 0.001), the exercise program (ß = 1.982; p < 0.001), and the degree of reward felt (ß = 1.929; p < 0.001). Adherence was also associated with intentions for continuing to exercise (ß = 0.753; p = 0.003). Adherence and study burden were not associated (ß = -0.321; p = 0.376). CONCLUSION: These findings highlight the relationship amongst program adherence with program satisfaction and exercise intentions, supporting the use of a positive motivational climate in the implementation of exercise oncology interventions to foster behavior change. Supported by Canadian Institutes of Health Research, Canadian Cancer Society, and Alberta Cancer Foundation grants. Supported by Canadian Institutes of Health Research, Canadian Cancer Society, and Alberta Cancer Foundation grants.

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)0.002
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.336
Teacher spread0.317 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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