ADVERSE EVENTS IN OLDER ADULTS AT RISK FOR DEMENTIA DURING VIRTUAL EXERCISE AND COGNITIVE TRAINING
Bibliographic record
Abstract
Abstract Synchronizing Exercises, Remedies in Gait and Cognition at Home (SYNERGIC@Home/SYNERGIE~Chez soi) is a home-based, double-blind, randomized controlled trial (NCT04997681) targeting community-dwelling older adults at risk for dementia. Anglophone and Francophone participants living in an Atlantic Canadian province (New Brunswick) underwent 16 weeks (three sessions/week) of interventions which consisted of virtual cognitive and physical exercise designed to delay or prevent the onset of dementia. This research aims to determine the frequency, severity, and relationship of the adverse events (AEs) that occurred during the intervention phase. All reported AEs were reviewed and managed by members of the research team, including a geriatrician. Participant’s (n=60) mean age was 68.9 years (SD 6.58), and the majority (76.7%) were female. Forty percent were living in rural communities, and 60% were urban. Of these participants, there was a total of 88 AEs reported by 42 individuals; 70% having at least one AE. The most common AE (39.8%) was musculoskeletal in nature. The majority (71.6%) of all AEs were unrelated to the intervention, and 69.3% of all AEs were classified as mild. There was only one serious AE, and it was unrelated to the intervention. The intervention had to be discontinued in two individuals, and modifications were required in 59 cases for participants to continue in the study. When delivered virtually with videoconference supervision, physical and cognitive interventions resulted in no serious related AEs and few related, mostly mild AEs, that were safely managed through modifications to the physical interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".