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Record W4389331733 · doi:10.1371/journal.pone.0295057

Effect of community-based group exercises combined with action observation on physical and cognitive performance in older adults during the Covid-19 pandemic: A randomized controlled trial

2023· article· en· W4389331733 on OpenAlexaboutno aff
Bağdat Tekkuş, Fatma Mutluay

Bibliographic record

VenuePLoS ONE · 2023
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsTinetti testMontreal Cognitive AssessmentBalance (ability)Fear of fallingRandomized controlled trialPhysical therapyPhysical medicine and rehabilitationPsychologyCognitionConfidence intervalPoison controlMedicineInjury preventionPsychiatryCognitive impairmentInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study investigates the impact of community-based exercises with action observation therapy (AOT) on the physical and cognitive performance of older adults experiencing social isolation during the COVID-19 pandemic. METHODS: One hundred participants aged 65-80 years were randomly divided into two groups: the AOT group, which engaged in balance, strengthening, and mobility exercises guided by 15-minute action observation videos before a 45-minute exercise session, and the control group, which performed the same exercises without action observation. Both groups underwent three sessions per week for eight weeks (24 sessions in total). The assessment tools used in this study included the following: For evaluating mobility and fall risk in older adults, the Timed Up-and-Go (TUG) Test was employed. To assess functional strength of lower extremities, balance, and fall risk, the Five Times Sit-to-Stand (5XSST) Test was administered. Balance and gait were measured using the Tinetti Balance and Gait Assessment (TBGA), utilizing the Tinetti Scale. Individuals' confidence in performing daily activities without falling or losing balance was assessed using the Activities-Specific Balance Confidence Scale (ABC). Furthermore, cognitive functions across multiple domains, including attention-concentration, executive function, memory, language, visual construction skills, abstract thinking, calculation, and orientation, were evaluated using the Montreal Cognitive Assessment (MoCA) Tests. RESULTS: Results revealed significant improvements in both groups. Group I, which received Action Observation Therapy (AOT) in addition to exercise, demonstrated superior outcomes in the 5XSit-to-Stand test (Δ = -1.92, p < 0.0001, Cohen's d = 0.77), Tinetti Balance and Gait Scale (Balance: Δ = 2.77, p < 0.0001, Cohen's d = 0.91), and Timed Up and Go test (Δ = -1.98, p < 0.0005, Cohen's d = 0.83). On the other hand, Group II, which received exercise only, exhibited substantial gains in the Tinetti Balance and Gait Scale (Walking: Δ = 0.52, p < 0.01, Cohen's d = 0.27) and Activity-Specific Balance Confidence Scale (Δ = 5.77, p < 0.0001, Cohen's d = 0.26). CONCLUSION: These findings underscore the effectiveness of AOT-enhanced community-based exercises in enhancing both physical and cognitive performance among older adults facing social isolation during the pandemic, with Group I (AOT + exercise) showing particularly promising results. TRIAL REGISTRATION: This study was registered with ClinicalTrials.gov Identifier: NCT04759690, ClinicalTrials Protocol ID: p3957ghb.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.069
GPT teacher head0.355
Teacher spread0.286 · 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 designRandomized 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

Citations29
Published2023
Admission routes1
Has abstractyes

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