A Population-Based Study of the Determinants of Physical Activity in Ovarian Cancer Survivors
Bibliographic record
Abstract
BACKGROUND: Regular physical activity is associated with quality of life and other health-related outcomes in ovarian cancer survivors, but participation rates are low. This study investigated the determinants of physical activity in ovarian cancer survivors. METHODS: A population-based, cross-sectional, mailed survey of ovarian cancer survivors in Alberta, Canada, was performed. Measures included self-reported physical activity, medical and demographic factors, and social cognitive variables from the Theory of Planned Behavior. RESULTS: A total of 359 women participated (51.4% response rate), of whom 112 (31.1%) were meeting physical activity guidelines. Variables associated with meeting guidelines were younger age, higher education and income, being employed, lower body mass index, absence of arthritis, longer time since diagnosis, earlier disease stage, and being disease-free. Analysis of the Theory of Planned Behavior variables indicated that 36% of the variance in physical activity guidelines was explained, with intention being the sole independent correlate (?=.56; P < .001). CONCLUSION: Various demographic and medical factors can help identify ovarian cancer survivors at risk for physical inactivity. Interventions should attempt to increase physical activity intentions in this population by focusing on instrumental and affective attitudes as well as perceptions of control.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".