Correlates of Perceived Physical Activity Transitions during the COVID‐19 Pandemic among Canadian Adults
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to explore socio-ecological predictors of moderate to vigorous physical activity (MVPA) as a result of the COVD-19 pandemic restrictions. METHOD: A representative sample of 1,055 English-speaking Canadians (18+ years) completed measures of MVPA during the COVID-19 restrictions and reflecting on MVPA prior to these restrictions, as well as demographics, COVID-19-related cognitions and behavior (i.e. perceived threat, social distancing), psychological factors (e.g. personality traits, habit, identity, strategic planning), social factors (e.g. dependent children, co-habitation), home environment affordances (exercise equipment, programming) and the neighborhood environment (e.g. access to outdoor recreation, neighborhood safety). RESULTS: Participants perceived that they had decreased weekly MVPA (p < .01) and the availability of home equipment and strategic planning were critical predictors (p < .01). Profiles by MVPA guidelines, however, showed that 58 per cent of the sample had not changed and 6 per cent had increased MVPA. Identity was the critical predictor of the different MVPA profiles, followed by habit, extraversion, availability of home equipment, and the age of the participant (p < .01). CONCLUSION: Pandemic restrictions have affected the MVPA of many Canadians, and variables across the socio-ecological spectrum explain who has been able to maintain MVPA during this unprecedented time.
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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 | 0.002 |
| 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) | 0.002 | 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".