Socioeconomic Patterning of Physical Activity among Middle-Aged to Older Adults
Bibliographic record
Abstract
Regular physical activity is a well-known protective factor against chronic disease and strongly correlated with healthy aging. However, as physical activity levels tend to decline with age, there is a need to identify barriers which prevent older adults from being physically active. This thesis investigated the relationship between socioeconomic status and meeting physical activity guidelines of 150 minutes or more of moderate- to vigorous- intensity physical activity among middle-aged to older adults in Canada. Using cross-sectional data from the baseline assessment of the Canadian Longitudinal Study on Aging, block-wise multivariable logistic regression was performed to assess the association between socioeconomic status, represented by education and wealth, in relation to meeting physical activity guidelines while adjusting for demographic, lifestyle and other health related factors. Sex and age-stratified analyses were conducted. After adjusting for all covariates, having a post-secondary education was a significant correlate of meeting physical activity guidelines among males, while higher wealth was a significant correlate of meeting physical activity guidelines among both males and females. Evidence of effect modification by weight status on education and wealth was found. Our findings highlight the need to increase accessibility of physical activity among disadvantaged population subgroups so that all can reap the benefits of physical activity. Further research using longitudinal data to assess the causality of the association between socioeconomic status and physical activity levels, inclusive of First Nations and people living in the Northern territories, is needed.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".