The impact of the COVID-19 pandemic on physical activity participation among Canadians with disabilities
Bibliographic record
Abstract
Purpose: To examine the impact of the COVID-19 pandemic on physical activity (PA) levels, and the physical and mental health of Canadian adults with a disability. Methods: The COVID-19 Disability Survey asked Canadians with disabilities about their COVID-19 related concerns, needs, wellbeing, and lifestyle. PA levels were assessed by the International Physical Activity Questionnaire and physical and mental health by the PROMIS Global-10. 602 participants completed the survey between June and December 2020. Results: The pandemic negatively impacted the PA habits of >64% of respondents with disabilities. 59% of respondents reported completing no moderate-vigorous PA in the week prior to completing the questionnaire, whereas just 19% met the World Health Organization's recommendations of ?150min/week of moderate intensity PA. 93% and 53% of respondents reported their physical and mental health to be poorer than the average able-bodied adult, respectively. Access to recreation programs was the greatest unmet need during the pandemic; 76% of respondents reported recreation was an unmet need during the pandemic compared to 30% before the pandemic. Conclusions: This is the largest study of PA behaviours among Canadians with disabilities to date and highlights pandemic's negative impact on PA and self-reported health. Our findings around the unmet needs of the respondents have supported policy change by the Ontario Government regarding access to PA programs and may be used further to advise government and/or community responses in addressing the PA needs of Canadians with disabilities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".