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Record W4293216053 · doi:10.2196/41105

A Combination of Web-based and In-Person Training Reduced Fall Accidents in Older Adults During the COVID-19 Pandemic

2022· article· en· W4293216053 on OpenAlexvenueno aff
M Thomsen, Matthew Liston, Merete Grothe Christensen, Peter Vestergaard, Rogério Pessoto Hirata

Bibliographic record

VenueIproceedings · 2022
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsDanceMedicineRandomized controlled trialPandemicFall preventionAccidentalGerontologyPhysical therapyInjury preventionCoronavirus disease 2019 (COVID-19)Poison controlPsychologyMedical emergencyDiseaseSurgery

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.062
GPT teacher head0.326
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes1
Has abstractyes

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