Correlates of objectively measured sedentary behavior in cancer patients with brain metastases: an application of the theory of planned behavior
Bibliographic record
Abstract
OBJECTIVE: The aim of this study is to examine the demographic, medical, and social-cognitive correlates of objectively measured sedentary behavior in advanced cancer patients with brain metastases. METHODS: Advanced cancer patients diagnosed with brain metastases, aged 18 years or older, cognitively intact, and with palliative performance scale greater than 30%, were recruited from a Rapid Access Palliative Radiotherapy Program multidisciplinary brain metastases clinic. A cross-sectional survey interview assessed the theory of planned behavior variables and medical and demographic information. Participants wore activPAL™ (PAL Technologies Ltd, Glasgow, United Kingdom) accelerometers recording time spent supine, sitting, standing, and stepping during 7 days encompassing palliative whole brain radiotherapy treatments. RESULTS: Thirty-one patients were recruited. Correlates of median time spent supine or sitting in hours per day were instrumental attitude (i.e., perceived benefits) of physical activity (r = -0.42; p = 0.030) and affective attitude (i.e., perceived enjoyment) of physical activity (r = -0.43; p = 0.024). Moreover, participants who sat or were supine for greater than 20.7 h per day reported significantly lower instrumental attitude (M = 0.7; 95% CI = 0.0-1.4; p = 0.051) and affective attitude (M = 0.7; 95% CI = 0.0-1.4; p = 0.041). Finally, participants who were older than 60 years of age spent more time sitting or being supine. CONCLUSIONS: Instrumental attitude and affective attitude were the strongest correlates of objectively measured sedentary behavior. This information could inform intervention studies to increase physical activity in advanced cancer patients with brain metastases.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".