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Relationships Between Vo2peak, Cerebral Hemodynamics During Exercise And Cognitive Function In Type 2 Diabetes Patients.

2016· article· en· W2466554168 on OpenAlexaffabout
Maxime Boidin, Paula Aver Bretanha Ribeiro, Meghann Monnet, Olivier Dupuy, Gabriel Lapierre, Martin Juneau, Anil Nigam, Mathieu Gayda

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2016
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsStroop effectImpedance cardiographyCardiologyInternal medicineHemodynamicsMedicineAerobic exerciseType 2 diabetesCerebral blood flowPhysical therapyPsychologyCognitionDiabetes mellitusBlood pressureHeart rateStroke volumeEndocrinology

Abstract

fetched live from OpenAlex

PURPOSE: As compared to aged-matched healthy controls (AMHC), type 2 diabetes patients (T2DM) have an impaired aerobic fitness, cardiac hemodynamics, cerebral oxygenation/perfusion (COP) during exercise and an impaired cognitive function. Relationship between fitness, cardiac/cerebral hemodynamics and cognition are poorly studied in T2DM patients. The aim of this work was to study relationship among VO2peak, maximal cardiac index (CImax), COP and cognitive function in patients with T2DM. METHOD: Nineteen T2DM patients (62±7 years) and 23 AMH subjects (62±11 years) were recruited in this study. All subjects underwent a medical examination, blood sample analysis and body composition measurement. Gas exchange (Oxycon Pro; Jaegger, Germany), CImax (impedance cardiography: PhysioFlow, France) and left frontal COP (NIRS: Oxymon Mk III, Netherlands) were measured during and after a maximal cardiopulmonary ergocycle test (CPET). For COP, oxyhemoglobin (ΔO2Hb), total hemoglobin (ΔtHb) and deoxyhemoglobin (ΔHHb) were assessed. Cognitive functions (CF) were evaluated at rest by a complete neuropsychological test battery (13 different items) assessing perceptual abilities and processing speed, short/long-term/working memory (LTVM) and executive functions (EF). ANOVA was used to test group’s differences and Pearson correlation to evaluate the relationship between VO2peak, CImax, COP and CF (statistical significance for p<0.05). RESULTS: VO2peak, CImax and EF (Stroop 3 and 4) and LTVM were significantly lower (p<0.05) in T2DM vs. AMHC. Left frontal COP (HHb, O2HB and tHb) was not different between groups. VO2peak was positively correlated with tHB (R=0.35, p<0.05). Composite scores for EF was negatively correlated with O2HB (R=-0.40, p<0.05) and tHB (R=-0.37, p<0.05). VO2peak was positively correlated with substitution (R=0.369, p<0.05), negatively with trail B (R=-0.337, p<0.05). CONCLUSION: Patients with T2DM had a reduced aerobic fitness, cardiac output, executive functions and LTVM. Moreover, COP and aerobic fitness were related with executive functions and processing speed. It would be interesting to know the effects of training on VO2peak, cardiac index, COP and cognitive functions in T2DM patients. Supported by EPIC and Montreal Heart Institute foundations and CNPq.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.246
Teacher spread0.231 · 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
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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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