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Record W4283809610 · doi:10.21203/rs.3.rs-1781691/v1

Effect of dual-task training on clinical and biological factors related to sarcopenia in older adults: a quasi-randomized controlled trial

2022· preprint· en· W4283809610 on OpenAlexaff
Walter Sepúlveda‐Loyola, Renata Pires Tricanico Maciel, Denilson Castro Teixeira, Felipe Araya‐Quintanilla, Rubens Alexandre da Silva, Suhaila Mahmoud Smaili Santos, Leocadio Rodríguez‐Mañas, Vanessa Suziane Probst

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversité du Québec à Chicoutimi
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da EducaçãoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsSarcopeniaMedicinePhysical therapyRandomized controlled trialPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Sarcopenia is a disease associated with different functional and biological factors related to the aging process. Preventing sarcopenia is important because this disease is associated with increased risk of frailty, falls, fractures, hospitalization, and mortality in older adults. Physical exercise has been the most used intervention for the prevention and treatment of sarcopenia. However, most of the exercise interventions have focused on strength training and nutritional supplementation, targeting the intervention for sarcopenia as a problem related only to muscle mass and strength. However, sarcopenia is a multidimensional condition with negative impacts on functional status. Dual-task training is effective in increasing different functional variables such as balance and gait speed. Nevertheless, there are few studies focused on the effect of this intervention on clinical and biological variables related to sarcopenia. For this reason, the objective of this study was to analyze the effects of dual-task training on clinical and biological measurements of sarcopenia in non-sarcopenic older adults. Methods 48 older adults were included in this study. Fat-free mass, fat mass, calf circunference, handgrip strenght, 5-repetition sit-to stand, 4-meter gait speed, six-minute walking test and oxidative stress blood biomakers were evaluated. Individuals were allocated into one of these two groups: dual-task training (experimental group) and simple-task training (control group) for 12 weeks, 3 times a week, 50 minutes each session. Student's t test, Mann-Whitney test, and ANCOVA, with adjustment for baseline were used. Cohen's effect size was calculated. Results Dual-task training increased the fat-free mass and calf circunference, and reduced the fat mass (Cohen's effect size from 0.4 to 1.0; p < 0.05 for all). Both groups showed improvement in 5-repetition sit-to stand, 4-meter gait speed, six-minute walking test (Cohen's effect size from 0.5 to 1.0; p < 0.05 for all). All the antioxidant biomakers (glutathione transferase, catalase, total plasma antioxidant potential and sulfhydryl grouping) increased after dual-task training (Cohen's effect size from 0.4 to 1.0; p < 0.05 for all). Conclusion Dual-task training improved muscle mass, muscle strenght and physical performance, which are the clinical measurements of sarcopenia. Additionally, this intervention also increased the antioxidant capacity in healthy older adults.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.143
GPT teacher head0.516
Teacher spread0.374 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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