Delivery of an Exercise Program for Breast Cancer Survivors on Treatment in a Community Setting
Bibliographic record
Abstract
ABSTRACT Purpose Exercise can help reduce the negative physical and psychological side effects of breast cancer treatments. Breast Cancer Patients Engaging in Activity while Undergoing Treatment (BEAUTY) is an exercise program that has been operating in a university-based setting for 4 years. This study describes the feasibility of implementing BEAUTY at the YMCA following the RE-AIM framework. Methods This is a single-center, single-cohort interventional feasibility study. Breast cancer patients undergoing or within 3 months of completing chemotherapy and/or radiation treatment ( N = 12) received individualized exercise programs and group-based exercise classes twice per week for 19 wk. Outcome variables were measured pre- and post program. Results YMCA BEAUTY had similar reach to the university BEAUTY program in terms of recruitment rate and representativeness. Participants attended M = 10.7 ± 10.0 classes and 75% completed post program assessments. Participants showed improvement in the 6-min walk test ( M ∆ = 45.7 m). All other physical outcomes and quality of life were maintained. Overall, the program was delivered as intended, evidenced by outcomes assessed, exercise class, and education session delivery. A key component for setting level maintenance is the expertise of YMCA fitness professionals needed to deliver an exercise program for a clinical population. Conclusions On the basis of RE-AIM metrics, BEAUTY was feasible and appears to be promising for improving health and well-being of breast cancer survivors. These findings will inform researchers, clinicians, health professionals, and fitness facilities of the implementation considerations for future community-based programs for cancer survivors undergoing treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".