Feasibility and acceptability of a remote physical activity intervention coupled with short text messages in women with breast cancer and severe depressive or anxiety symptoms
Bibliographic record
Abstract
PURPOSE: To test the feasibility and acceptability of a remote physical activity (PA) intervention coupled with motivational text messages among women experiencing severe depressive and/or anxiety symptoms during or after breast cancer (BC) treatment. METHODS AND MATERIALS: A three-phase-single-case experimental study design (16-week) was conducted among 18 women diagnosed with BC reporting high levels of depressive and anxiety symptoms. Our intervention included behaviour change techniques (BCTs) and 2-3 supervised PA sessions per week, for at least 30 min, coupled with 4-7 weekly personalised text messages. Feasibility (satisfaction and drop-out rates), acceptability (participation rates, therapeutic alliance, and qualitative data), fidelity (quality of BCTs delivered), and the efficacy on PA level and physical fitness were assessed. RESULTS: Participants expressed high satisfaction and reported an excellent working alliance with their kinesiologist. Notably, there was a very high participation rate (90%) along with a low dropout rate (11%). However, only 3 patients significantly increased their PA post-intervention. CONCLUSION: This study highlighted the importance to personalise remote PA interventions for women with BC and severe depressive or anxiety symptoms. The combination of a remote PA intervention with daily text messages appears to be very suitable to increase their 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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".