Connecting women who are diagnosed and treated for breast cancer to engage in physical activity: a two-arm randomized controlled trial
Bibliographic record
Abstract
Abstract Background Women who are diagnosed and treated for breast cancer (WBC) encounter barriers engaging in adequate physical activity (PA). Pairing WBC with PA partners is a feasible approach to promote social support, potentially increasing PA levels. However, WBC may not perceive to have the expertise required to facilitate PA behavior. As such, providing access to a Qualified Exercise Professional (QEP) may help facilitate PA within dyads. To date, the impact of including a QEP in peer-based interventions remains unclear. Methods A two-arm randomized controlled trial (n = 108) was designed to compare a virtual peer and QEP-supported intervention group (MatchQEP: n = 54) to a control group matched only with a peer (Match: n = 54) on moderate-to-vigorous PA (MVPA). The association between social support within peer dyads and MVPA, and the impact of partners’ level of MVPA on individual MVPA were also examined. Participants in the MatchQEP condition met with the QEP and their partner on Zoom once per week for 10 weeks. Those in the Match condition were encouraged to independently communicate with and support their assigned partner over 10 weeks. Analyses involved descriptive statistics, regression analyses, and Actor Partner Interdependence models. Results Social support significantly related to MVPA, irrespective of intervention group. The addition of a QEP did not yield additional benefits in increasing MVPA levels. Actor-Partner Interdependence Models reveal that partners’ PA behaviors did not significantly impact individual MVPA levels. Conclusion These findings underscore the significance of social support from partners in promoting MVPA among WBC, emphasizing the need for interventions focusing on supportive partner relationships. By leveraging social support between partners, interventions can better address the unique needs of WBC, ultimately improving their health and well-being. Trial registration Connecting Breast Cancer Survivors for Exercise (C4E), Trial Registration Number: NCT04771975, 28/02/2020.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".