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Record W4318393135 · doi:10.1123/japa.2022-0241

Resistance Band Exercise: An Effective Strategy to Reverse Cardiometabolic Disorders in Women With Osteosarcopenic Obesity

2023· article· en· W4318393135 on OpenAlexaff
Ebrahim Banitalebi, Elahe Banitalebi, Majid Mardaniyan Ghahfarrokhi, Mostafa Rahimi, Ismail Laher, Kade Davison

Bibliographic record

VenueJournal of Aging and Physical Activity · 2023
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsObesityMedicineBody mass indexInsulin resistanceTriglyceridePhysical therapyInternal medicineGerontologyEndocrinologyCholesterol

Abstract

fetched live from OpenAlex

We designed to evaluate the effects of resistance elastic band exercises (REBEs) on cardiometabolic/obesity-related biomarkers in older females with osteosarcopenic obesity. Sixty-three patients (aged 65-80 years) with osteosarcopenic obesity and a body mass index exceeding 30 kg/m2 were enrolled in the study. The participants were randomly assigned to either an experimental group (REBE, n = 32) or a usual care group (n = 31). The experimental group completed a 12-week REBE program, three times a week and 60 min per session. There were decreases in lipid accumulation product (p = .033), visceral adipose index (p = .001), triglyceride-glucose-body mass index (p = .034), and atherogenic index of plasma (p = .028) in the experimental group compared with the usual care group. Our findings highlight the importance of an REBE program in improving combined cardiometabolic/obesity-related indices in older women with osteosarcopenic obesity. The incorporation of an REBE program may benefit individuals who are unable to tolerate or participate in more strenuous exercise programs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.323
Teacher spread0.307 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2023
Admission routes1
Has abstractyes

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