Predictors of the decline in physical activity observed in adults from two communities of low-economic status in Montreal, Canada
Bibliographic record
Abstract
This study assessed the predictors of the decline in physical activity levels observed over the course of a 5 year longitudinal cohort of adults aged 18--65 living in two low-income, inner-city neighbourhoods in Montreal. The current study made use of data collected as part of Coeur en Sante St. Henri, an intervention program designed to decrease cardiovascular disease (CVD) risk factors. A two-stage cluster telephone survey of a representative sample of residents was used to collect information on a variety of lifestyle behaviours. Multiple logistic regression was used to assess the independent predictors of decline in leisure time physical activity in 626 subjects. Significant predictors of the decrease in physical activity include age (OR = 1.0 (1.0, 1.1) and BMI (OR = 2.0 (1.1, 3.6), and a composite index assessing self-efficacy pertaining to physical activity (OR = 2.0 (1.2, 3.2), in males. In females, significant predictors include lack of energy (OR = 2.4 (1.2, 4.6), perceived lack of athletic ability (OR = 2.4 (1.1, 5.2), not using a neighbourhood facility for physical activity (OR = 2.8 (1.6, 4.7), BMI (OR = 2.1 (1.2, 3.7), and a composite index assessing self-efficacy pertaining to physical activity (OR = 2.1 (1.3, 3.5).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".