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Record W2520955071 · doi:10.1101/073205

Impact of type 2 diabetes on cardiorespiratory function and exercise performance

2016· preprint· en· W2520955071 on OpenAlexafffund
Joanie Caron, Gregory R. duManoir, Lawrence Labrecque, Audrey Chouinard, Annie Ferland, Paul Poirier, Sylvie Legault, Patrice Brassard

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2016
Typepreprint
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsOkanagan University CollegeInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaUniversité du QuébecUniversité Laval
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCanadian Diabetes Association
KeywordsCardiorespiratory fitnessVentilatory thresholdMedicineType 2 diabetesCardiologyInternal medicineVO2 maxDiabetes mellitusBody mass indexAnthropometryHeart rateCycle ergometerPhysical therapyEndocrinologyBlood pressure

Abstract

fetched live from OpenAlex

Abstract The aim of this study was to examine the impact of well-controlled uncomplicated type 2 diabetes (T2D) on exercise performance. Six obese sedentary men with T2D and 7 control participants without diabetes matched for age, sex and body mass index were recruited. Anthropometric characteristics, blood samples, resting cardiac and pulmonary functions and maximal oxygen uptake (VO 2 max) and ventilatory threshold were measured on a first visit. On the four subsequent visits, participants performed step transitions (6 min) of moderate-intensity exercise on an upright cycle ergometer from unloaded pedaling to 80 % of ventilatory threshold. VO 2 (τVO 2 ) and HR (τHR) kinetics were characterized with a mono-exponential model. VO 2 max (27.8±4.0 vs. 27.5±5.3 ml kg -1 min -1 ; p=0.95), τVO 2 (43±6 vs. 43±10 s; p=0.73) and τHR (42±17 vs. 43±13 s; p=0.94) were similar between diabetics and controls respectively. The remaining variables were also similar between groups. These results suggest that well-controlled T2D is not associated with a reduction in VO 2 max or slower τVO 2 and τHR.

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)0.001
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.011
GPT teacher head0.225
Teacher spread0.214 · 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".

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

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