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Record W2560864768 · doi:10.2147/cia.s121313

Effects of different doses of high-speed resistance training on physical performance and quality of life in older women: a randomized controlled trial

2016· article· en· W2560864768 on OpenAlexaff
Rodrigo Ramírez‐Campillo, Daniela Díaz, Cristian Martínez‐Salazar, Pedro Delgado‐Floody, Guillermo Méndez-Rebolledo, Rodrigo Cañas-Jamet, Carlos Cristi‐Montero, Antônio García‐Hermoso, Carlos Celis‐Morales, Jason Moran, Thomas W. Buford, Leocadio Rodríguez‐Mañas, Alicia M. Alonso‐Martínez, Míkel Izquierdo

Bibliographic record

VenueClinical Interventions in Aging · 2016
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsInstitute of Aging
FundersNational Institute on AgingUniversidad de Los LagosEuropean Commission
KeywordsMedicineRandomized controlled trialResistance trainingPhysical therapyQuality of life (healthcare)Balance (ability)ConcentricStrength trainingPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

Objective: This study aimed to compare the effects of two frequencies of high-speed resistance training (HSRT) on physical performance and quality of life of older women. Methods: A total of 24 older women participated in a 12-week HSRT program composed of either two or three sessions/week (equated for volume and intensity). Women were randomized into three arms: a control group (CG, n=8), a resistance training group performing two sessions/week (RT2, n=8), and a resistance training group performing three sessions/week (RT3, n=8). The training program for both experimental groups included exercises that required high-speed concentric muscle actions. Results: No baseline differences were observed among groups. Compared with the CG, both training groups showed similar small to moderate improvements ( P <0.05) in muscle strength, power, functional performance, balance, and quality of life. Conclusion: These results suggest that equated for volume and intensity, two and three training sessions/week of HSRT are equally effective for improving physical performance and quality of life of older women. Keywords: aging, muscle strength, adaptation, frailty

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)0.003
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.101
GPT teacher head0.431
Teacher spread0.330 · 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

Citations56
Published2016
Admission routes1
Has abstractyes

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