The benefits of being self‐determined in promoting physical activity and affective well‐being among women recently treated for breast cancer
Bibliographic record
Abstract
PURPOSE: In this study, changes in motivational regulations in women following treatment for breast cancer were described. Changes in motivational regulations as predictors of subsequent change in light and moderate-to-vigorous physical activity (PA) and affect were also examined. METHODS: Women [n = 150; M(age) = 54.41 (SD = 10.87) years] completed self-report questionnaires and wore an accelerometer for 7 days at Time 1 [M = 3.94 (SD = 3.08) months following primary treatment], as well as 3 (Time 2) and 6 (Time 3) months later. Data were analyzed using repeated-measures analysis of variance and path analysis using residual change scores. RESULTS: Identified regulation and self-determined motivation (i.e., combined intrinsic motivation and identified regulation) scores decreased over time (p < 0.05). In the path model [χ(2)(4) = 5.66, p = 0.22, root mean square error of approximation = 0.05 (90% CI: 0.0; 0.15), comparative fit index = 0.99, standardized root mean square of the residuals = 0.03], ΔTime(1-2) in external regulation was associated with ΔTime(2-3) in positive affect (β = -0.16), ΔTime(1-2) in introjected (β = 0.25) and amotivation (β = 0.19) were related to ΔTime(2-3) in negative affect, and ΔTime(1-2) in self-determined motivation was related to ΔTime(2-3) in positive affect (β = 0.40) and moderate-to-vigorous PA (β = 0.21). CONCLUSIONS: Changes in motivational regulations were related to changes in PA and affect in the aftermath of breast cancer. Given the benefits of self-determined motivation, additional research is needed to develop and test interventions aimed at enhancing this type of motivation.
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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) | 0.000 | 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".