A mixed-methods evaluation of a community physical activity program for breast cancer survivors
Bibliographic record
Abstract
BACKGROUND: Given the benefits of physical activity for health and survival, clinicians are seeking opportunities for cancer patients to become more active independent of rehabilitation programs that are small, time-limited, and location specific. This proof-of-concept study evaluated a community-based physical activity program (Curves™) for increasing physical activity among women diagnosed and treated for breast cancer. METHODS: Women were recruited from a breast cancer clinic through physician chart review. In study 1, women (n = 14) received the community physical activity memberships (Curves™), guidelines, and a pedometer. This group was compared to women (n = 16) who received physical activity guidelines and a pedometer on changes in physical activity. In study 2, women (n = 66) completed self-report questionnaires after Curves™ memberships expired to evaluate the program. Study 3 was a qualitative study exploring the benefits and barriers of the physical activity program among women (n = 6) who attended Curves™ regularly. RESULTS: Provision of memberships to a community-based physical activity program did not improve physical activity levels beyond educational and information resources. However, there are a number of advantages to community-based physical activity programs, and the women offer a number of suggestions for improvements for community physical activity opportunities aimed at breast cancer survivors. CONCLUSIONS: Women-only community-based physical activity programs may be a viable option to help introduce women to get active after treatment. Trial registration ISRCTN, ISRCTN14747810. Registered on 18 October 2017-Retrospectively registered, https://doi.org/10.1186/ISRCTN14747810.
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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 | 0.004 | 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 | 0.000 |
| 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".