Reallocating time between sleep, sedentary and active behaviours: Associations with obesity and health in Canadian adults.
Bibliographic record
Abstract
BACKGROUND: Moderate-to-vigorous physical activity (MVPA) and sleep are positively associated with adults' health, while the association with sedentary behaviour (SED) is negative. Light-intensity physical activity (LPA) is emerging as an independent predictor of improved cardiovascular health. The health impacts of each of these factors have been examined in isolation, but interest has increased in associations between health and movement behaviours collectively. DATA AND METHODS: This analysis examines how reallocating time between movement behaviours is associated with obesity and with self-rated general and mental health. Data for 18- to 79-year-olds (n = 10,621) were collected from 2007 through 2015 as part of the Canadian Health Measures Survey. LPA, MVPA, and SED were measured using the Actical accelerometer. Body mass index (BMI) and waist circumference (WC) were directly measured. Sleep and general and mental health were self-reported. RESULTS: Reallocation of 30 minutes from SED, LPA or sleep to MVPA was associated with a lower BMI and smaller WC, particularly for older and overweight/obese individuals. Time reallocation from SED to LPA was associated with lower BMI and smaller WC in respondents who were aged 50 or older or who were overweight/obese. Time reallocated from SED to any other movement behaviour was associated with decreased odds of reporting poor/fair rather than excellent general health. Time reallocation from SED to LPA or to sleep, but not to MVPA, was associated with decreased odds of reporting poor/fair rather than excellent mental health. DISCUSSION: These findings confirm previous research indicating a strong association between MVPA and markers of obesity and health, particularly among older and overweight/obese individuals. This study also provides evidence that increasing LPA is an important health promotion message for these two subpopulations.
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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".