Medical, demographic and social cognitive correlates of physical activity in a population-based sample of colorectal cancer survivors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SPEED-ANDREWS A.E., RHODES R.E., BLANCHARD C.M., CULOS-REED S.N., FRIEDENREICH C.M., BELANGER L.J. & COURNEYA K.S. (2011) European Journal of Cancer Care21, 187–196 Medical, demographic and social cognitive correlates of physical activity in a population-based sample of colorectal cancer survivors Physical activity (PA) improves quality of life in colorectal cancer survivors (CRC) and may reduce the risk of disease recurrence and early death. Few studies, however, have examined the correlates of PA in CRC survivors. Using the Alberta Cancer Registry, 2000 randomly selected CRC survivors were mailed a self-reported questionnaire assessing medical, demographic, behavioural and social cognitive variables from the theory of planned behaviour (TPB). Of the 600 survivors who responded, 33% were meeting public health PA guidelines and almost half were completely sedentary. Higher PA was reported by survivors who were younger, unmarried, better educated, wealthier, employed, non-smokers, social drinkers, not treated with radiation therapy, disease-free, in better health and less comorbidity. In multivariate path analysis, these variables were not directly associated with PA after controlling for the TPB variables. The TPB explained 34% (P < 0.001) of the variance in PA behaviour with direct associations for intention (β= 0.22; P= 0.015) and planning (β= 0.18; P= 0.001). Intention, in turn, had 62% (P < 0.001) of its variance explained by perceived behavioural control (β= 0.43; P < 0.001), affective attitude (β= 0.25; P < 0.001) and instrumental attitude (β= 0.15; P < 0.001). The TPB may be a useful framework for developing population-based interventions to increase PA in CRC survivors.
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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 it