Socio-demographic factors associated with meeting the Canadian 24-hour movement guidelines among adults and older adults
Bibliographic record
Abstract
Background: The Canadian 24-Hour Movement Guidelines for Adults aged 18-64 years and Adults aged 65 years or older (24hrMG) provide evidence-based recommendations for moderate-to-vigorous physical activity (MVPA), sedentary behaviour (SB) and sleep. Purpose: To provide estimates of the proportion of Canadian adults meeting the new 24hrMG and examine associations between socio-demographic factors and meeting vs. not meeting the individual and integrated guideline recommendations. Methods: The study is based on 7,651 respondents aged 18-79 years from the 2007-to-2013 Canadian Health Measures Survey, a nationally representative, cross-sectional survey. Socio-demographic factors included age, sex, household education, household income, ethnicity, having a chronic condition, smoking status, alcohol consumption, and BMI. Participants were classified as meeting or not meeting each of the time-specific recommendations for MVPA, SB, and sleep duration. A combination of self-reported and device-based measures were used. Results: The proportion of adults who met the MVPA, SB, sleep and integrated guidelines were 42.0, 18.4, 65.2, and 7.1%, respectively. Multivariable logistic regression analyses showed that age, BMI, smoking status, and presence of a chronic condition were associated with meeting the integrated guidelines. Examining adherence to the individual recommendations, age, sex, BMI, household education, household income, smoking status, and having a chronic condition were associated with meeting the MVPA recommendation; age was associated with meeting the SB recommendation; and household income, ethnicity, and presence of a chronic condition were associated with meeting the sleep recommendation. Conclusions: Few Canadian adults meet the Canadian 24hrMG and disparities across socio-demographic factors exist. Funding: None.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".