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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.003 | 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".