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Record W2005358826 · doi:10.2337/dc13-1791

Exercise-Induced Improvement in Insulin Sensitivity Is Not Mediated by Change in Cardiorespiratory Fitness

2014· letter· en· W2005358826 on OpenAlexafffund
Andrea M. Brennan, Miu Lam, Paula J. Stotz, Robert H. E. Hudson, Robert Ross

Bibliographic record

VenueDiabetes Care · 2014
Typeletter
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsQueen's University
FundersCanadian Institutes of Health Research
KeywordsMedicineCardiorespiratory fitnessInsulin sensitivityDiabetes mellitusInternal medicineInsulinCardiologyEndocrinologyPhysical therapyInsulin resistance

Abstract

fetched live from OpenAlex

Although exercise-induced improvement in cardiorespiratory fitness (CRF) and reduction in abdominal obesity are putative mechanisms by which chronic exercise attenuates insulin resistance (1), the independent contribution of each is unknown. We therefore investigated whether improvement in abdominal obesity and/or CRF mediates the effect of exercise on insulin sensitivity in abdominally obese adults. Participants included sedentary, abdominally obese men and women who participated in two previously published exercise interventions (2,3). Participants were randomized to control ( n = 18) or supervised aerobic exercise ( n = 59) for 3 (women) or 4 (men) months. CRF (VO2peak) was measured using a maximal treadmill test, abdominal obesity by magnetic resonance imaging and waist circumference (WC), and insulin sensitivity by the hyperinsulinemic-euglycemic clamp. Simple mediation analysis (Table 1) revealed that with the exception of …

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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 designObservational
Domainnot available
GenreCommentary

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

Citations15
Published2014
Admission routes2
Has abstractyes

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