A Combination of Web-based and In-Person Training Reduced Fall Accidents in Older Adults During the COVID-19 Pandemic
Bibliographic record
Abstract
Background Fall accidents in older adults are associated with reduced quality of life, personal health issues, and earlier deaths. Previous studies have found that both physical and cognitive parameters influence the risk of falling in older adults. During the COVID-19 pandemic lockdown (2020-2021) in Denmark, web-based training was the safest option for training, although its effectiveness was uncertain. Objective The purpose of this stratified, block randomized trial was to examine the effect of two types of web-based and in-person training—salsa dance and regular fitness circuit—in two training groups in comparison with a control group. Methods A total of 78 older adults (9 male and 69 female; mean age 70.4, SD 4.4 years; mean height 165.2, SD 6.8 cm; and mean weight 65.7, SD 11.9 kg) completed the 6-months training period: dance (n=25), fitness (n=23), and control group (n=30). Accidental falls were registered during the follow-up test. Participants in the two training groups were assigned to 1-hour training sessions twice a week for 6 months. Prior to the pandemic, training was administered by a skilled instructor at an activity center in the municipality or a dance studio. Following the pandemic, dance training was administered through a web-based meeting platform, whereas fitness training was guided by a video. Adherence to the training was collected weekly. Participants in the control group were encouraged to continue their everyday life. Results Both intervention groups had fewer accidental falls during the 6 months intervention compared with the control group (control group: 9 falls; dance: 4 falls, fitness: 0 falls; chi-square: P<.05). In total, adherence to fitness training was 72.6%, and it was 86.9% for dance. However, adherence to the web-based dance training was 95% (342 dance training hours of possible 360 dance training hours). Conclusions A combination of a 6-months web-based and in-person training (for dance and fitness) reduced the number of accidental falls in older adults. Trial Registration ClinicalTrials.gov NCT03683849; https://clinicaltrials.gov/ct2/show/NCT03683849
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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".