An Exploration of Online Exercise Participation of Older Manitobans During the COVID-19 Pandemic
Bibliographic record
Abstract
Abstract During the COVID-19 pandemic, in-person exercise programs for older people were temporarily closed, and some were replaced with online exercise. We explored the online exercise experiences of older people in Manitoba, Canada, using an online survey. We recruited a convenience sample (≥ 65 years), primarily through community organizations, and 745 people (57.5% female) consented. About 38.2% reported participating in online exercise during the pandemic. Most used pre-recorded classes (80.4%), from their local community (79.7%), and YouTube was the most used platform (57.4%). Almost all (82.7%) found the classes had the right variety and intensity. Of those who had participated in online exercise, 67.0% said they would participate in an online exercise class outside of a pandemic time. Participants like the following aspects better about online exercise: no transportation arrangements, it doesn’t matter what they wear, no travel time, and they like to exercise without others seeing them. However, they also miss being with and socializing with others, and they reported feeling unsafe when the instructor cannot see them. Of those who did not participate online, several reasons were given: they prefer to exercise with others in the same room, they prefer to exercise with an instructor directly present, no appropriate device, and their internet is not reliable. Many also provided examples of future circumstances when they might participate online, including: when the weather is not conducive to outdoor exercise, and if they can overcome technical issues. Lessons learned from this study can help those delivering online exercise in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".