Physical and psychological health among breast cancer survivors: interactions with sedentary behavior and physical activity
Bibliographic record
Abstract
BACKGROUND: Reducing sedentary behavior (SED) may be one promising strategy to reduce treatment-related side effects in breast cancer given the unique health benefits distinct from the beneficial effects of moderate-to-vigorous intensity physical activity (MVPA). OBJECTIVES: To examine the associations between SED and the late-effects symptoms of pain, fatigue, and depression among breast cancer survivors (BCS), and the interactive associations between SED, light PA, and MVPA on these symptoms. METHODS: One hundred and ninety-five BCS provided baseline data 3 to 4 months post-systemic treatment, as part of the Life After Breast Cancer: Moving On longitudinal study. Pain, fatigue, and depression symptoms were assessed using validated self-report questionnaires. Objective measures of MVPA, light PA, and SED (i.e. sitting time) were assessed by accelerometers over the same period. Self-reported demographic and medical variables were collected. RESULTS: In hierarchical multiple regression analyses, the interaction effect of MVPA by SED was significantly associated with pain (p = .02), fatigue (p = .01), and depression (p = .006). Follow-up simple slope analyses demonstrated that among BCS with lower levels of MVPA, higher levels of SED significantly predicted higher levels of fatigue (p < .001), higher levels of pain (p = .06), and higher levels of depression (p = .08). CONCLUSIONS: SED was associated with higher levels of fatigue, pain, and depression in BCS, and was more pronounced among those with lower levels of MVPA. However, SED was not associated with these symptoms among BCS with higher levels of MVPA. Pairing health promotion messages to reduce SED and increase MVPA are likely to result in better symptom management. Copyright © 2015 John Wiley & Sons, Ltd.
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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 | 0.001 |
| 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".