Taking control: Health engagement control strategies, physical activity, and the mediating effects of psychological needs among breast cancer survivors
Bibliographic record
Abstract
Women diagnosed with breast cancer face an abundance of health challenges related to the disease and related treatments. Physical activity can help mitigate those challenges by improving health and well-being, and restoring a sense of control over one's health that is often lost. Survivors are aware of these benefits yet remain inactive. Health engagement control strategies (HECS), or a propensity to address health needs, are associated with increased motivation for health behaviors and may help in the satisfaction of basic psychological needs. Based on theoretical tenets and empirical evidence, basic psychological needs are antecedents of physical activity behavior, yet are rarely tested prospectively in this population. The purpose of this study was to examine satisfaction of basic psychological needs for physical activity as mediators of the relationship between HECS and physical activity in a sample of recently treated breast cancer survivors. Women (N=149; Mage=55, SD=11 years) completed questionnaires immediately post-primary treatment (HECS), three months later (basic psychological needs satisfaction), and wore an accelerometer for a 7-day period 9-months post-treatment to assess moderate-to-vigorous physical activity. Controlling for relevant personal and cancer specific variables, the relationship between HECS and physical activity was mediated by the satisfaction of autonomy (point estimate=1.18(83); 95% CI=.11 to 3.65), but not competence or relatedness. Findings remained consistent when controlling for baseline physical activity. These findings highlight the importance of engaging in one's healthcare and building a sense of autonomy for physical activity to support physical activity levels in the early post-treatment period following a breast cancer diagnosis.Acknowledgments: Canadian Institutes for Health Research, Canada Research Chairs Program
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".