Physical activity behaviour in middle-aged and older women and men: an analysis of the CLSA
Bibliographic record
Abstract
BACKGROUND: Increasing physical activity (PA) levels can decrease the burden of non-communicable diseases and improve functional ability in aging populations. Understanding current patterns in PA behaviours is essential for developing effective interventions. This study aimed to describe the usual PA by type of activity and amount in middle-aged and older adults. METHODS: A descriptive cross-sectional analysis of baseline data from the Physical Activity Scale for the Elderly in the Canadian Longitudinal Study on Aging was completed. Subgroup analyses were used to explore PA behaviour, by age and sex, socioeconomic variables, region and season. In addition, we estimated quintiles based on the amount of total PA completed in Canadians 45–85 years. Means and frequencies were reported using inflation weights. RESULTS: The 47,840 participants represented our target population of 12,365,513 Canadians 45–85 years old. The mean PASE score was 151 (SD 79.11) with 65% of persons 45–85 years completing at least 150-minutes of moderate-vigorous PA a week. Amount of PA and the proportion of individuals meeting the recommendation decreased for females, and with increasing age, lower income, and less education. Additionally, those with the lowest PA levels were more likely to report limitations in mobility and activities of daily living and had a higher prevalence of some chronic conditions (diabetes, musculoskeletal, and vision). CONCLUSION: Physical activity behaviour among middle-aged and older adults varies based on several characteristics. Targeted interventions and promotion efforts are warranted, particularly for older females and those with lower income and education. Further investigation to determine directionality 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".