Trends and cancer-specific patterns of physical activity, sleep duration, and daily sitting time among US cancer survivors, 1997-2018
Bibliographic record
Abstract
BACKGROUND: Physical activity, sufficient sleep, and limiting sedentary time may improve cancer survivorship. METHODS: Utilizing US nationally representative samples from the National Health Interview Survey 1997-2018 and the National Health and Nutrition Examination Survey 2007-2018, this study investigated the trends of meeting physical activity guidelines, insufficient sleep duration, and sitting time in US cancer survivors (n = 58 527) and noncancer adults (n = 640 109). RESULTS: From 1997 to 2018, the prevalence of meeting physical activity guidelines was consistently lower in cancer survivors than in noncancer adults. Among cancer survivors, the prevalence of meeting physical activity guidelines increased from 34.9% (95% confidence interval [CI] = 33.1% to 36.8%) to 46.5% (95% CI = 45.0% to 48.1%) for aerobic (≥150 minutes per week at moderate intensity or 75 minutes per week at vigorous intensity), from 13.9% (95% CI = 12.8% to 15.1%) to 23.1% (95% CI = 21.8% to 24.4%) for muscle strengthening (≥2 days per week) activities, and from 9.5% (95% CI = 8.4% to 10.7%) to 17.9% (95% CI = 16.7% to 19.1%) for both combined (all Ptrend < .001). From 2004 to 2018, the prevalence of insufficient sleep duration (<7 hours per day) increased from 28.4% (95% CI = 26.3% to 30.5%) to 30.8% (95% CI = 29.3% to 32.2%) (Ptrend = .004). Daily sitting time increased from 6.09 hours per day (95% CI = 5.71 to 6.46 hours per day) in 2007-2008 to 7.36 hours per day (95% CI = 7.05 to 7.68 hours per day) in 2013-2014 and attenuated to 6.20 hours per day (95% CI = 5.74 to 6.65 hours per day) in 2017-2018. The pattern of physical activity, sleep, and sitting time varied by sex, race and ethnicity, body mass index, cancer type, and time since cancer diagnosis. CONCLUSIONS: More than half of US cancer survivors did not meet physical activity guidelines, and a large proportion had insufficient sleep duration and prolonged sitting time.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".