Navigating a New Normal: Perceptions and Experiences of an Online Exercise Program for Older Adults During COVID-19
Bibliographic record
Abstract
Online exercise programming has surged in popularity; however, little is known about older adults' perceptions and experiences of online exercise. The purpose of this study was to qualitatively examine older adults' (aged 59-82 years) experiences and perceptions of an online exercise program during the COVID-19 pandemic. Nineteen individuals (individuals who used the online exercise program and those who did not) completed a semistructured interview. Three main themes were generated from the data using reflexive thematic analysis: (a) can online exercise really work for older adults? (b) technology attitudes and experiences influence online participation, and (c) barriers and advantages of the online exercise program and the home environment. Most participants who took part were able to overcome initial barriers through technical support and experience. Our findings highlight ways to promote advantages and address barriers of online exercise for older adults and emphasize the importance of fostering social experiences and training online exercise instructors.
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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 | 0.000 |
| 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".