Temporal relationships between sleep and physical activity among breast cancer patients with insomnia.
Bibliographic record
Abstract
OBJECTIVE: The present study prospectively investigated the day-to-day bidirectional relationships between objective measures of sleep parameters and physical activity among breast cancer patients with insomnia symptoms. METHOD: A subgroup of participants (N = 66) enrolled in a randomized controlled trial for insomnia comorbid with cancer wore an actigraphic recorder for seven 24-hr periods before the intervention. Multilevel models examined whether sleep parameters (sleep onset latency, wake after sleep onset [WASO], total wake time [TWT], sleep efficiency [SE], and total sleep time [TST]) on a given night predicted the levels of physical activity (daily activity counts and minutes of moderate to vigorous physical activity [MVPA]) the following day and vice versa. RESULTS: Adjusted models revealed that a lower WASO (β= -.12, SE = .07, p < .05), TWT (β = -.14, SE = .05, p < .05), and TST (β = -.14, SE = .06, p < .05) were significantly associated with a greater daily activity count fluctuation the next day. Conversely, greater total daily count fluctuations were significantly associated with a higher WASO (β = .18, SE = .08, p < .05), TWT (β = .12, SE = .04, p < .05), and TST (β = .22, SE = .08, p < .05) the following night. CONCLUSIONS: These findings support a reciprocal and complex relationship between sleep parameters and physical activity. While they do not confirm a possible beneficial effect of physical activity on objective sleep parameters, they suggest that successful insomnia treatment could increase daily physical activity in patients with cancer. (PsycINFO Database Record
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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) | 0.000 | 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".