Modifying Effects of Sex, Age, and Education on 22-Year Trajectory of Leisure-Time Physical Activity in a Canadian Cohort
Bibliographic record
Abstract
BACKGROUND: We investigated the population trajectory of leisure time physical activity (LTPA) in adults age 18 to 60 y (n = 881), who were recruited in 1981 for the Canada Fitness Survey and followed-up through the Campbell's Survey on Well-Being (1988) and the Physical Activity Longitudinal Study (2002/04). METHODS: Data on involvement in LTPA were collected by questionnaire and used to estimate average daily energy expenditure (EE) (kcal . kg-1 . d-1) during leisure time. Growth trajectory modeling was used to describe the overall population trajectory of LTPA and the extent to which average trajectories varied between sub-groups defined by age, sex, and education. RESULTS: The population trajectory of LTPA over time was modified by baseline age, but not by sex or by level of education. Disparities in LTPA related to sex and education persisted over two decades. CONCLUSION: This longitudinal investigation improves our understanding of the processes underlying patterns of LTPA in adults.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".