Impact of a Combined Resistance and Aerobic Exercise Program on Motivational Variables in Breast Cancer Survivors: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Short term exercise interventions have been shown to be beneficial for breast cancer survivors soon after treatments but longer term adherence is needed. PURPOSE: To examine the effects of a supervised exercise program on motivational variables in breast cancer survivors using Self-Determination Theory (SDT). METHOD: Sixty breast cancer survivors were randomized in a cross-over design to either an immediate exercise group (IEG; n = 30) that exercised from baseline to week 12 or a delayed exercise group (DEG; n = 30) that exercised from week 12 to 24. SDT variables were assessed at baseline, 6, 12, 18 and 24 weeks using the Behavioral Regulation for Exercise Questionniare-2 and the Basic Psychological Needs Satisfaction Scale. RESULTS: Fifty-eight participants completed the follow-up assessments and achieved a 61.3% adherence rate. Analyses of variance revealed significant time by group interactions for almost all psychological needs and motivations that favored the exercise intervention time periods. For example, autonomy increased in the IEG from baseline to 12 weeks by 2.0 points compared to the DEG where scores decreased by 0.1 points (mean group difference = 2.0, p < 0.001). The cross-over results further supported the main findings. CONCLUSION: Supervised exercise soon after breast cancer treatments may help to develop a positive exercise motivational profile among breast cancer survivors that could portend longer term adherence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".