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Record W1977801815 · doi:10.1055/s-0029-1231043

Reproducibility of the 6-minute Walk Test in Obese Adults

2009· article· en· W1977801815 on OpenAlexaff
K. Beriault, André C. Carpentier, Claudia Gagnon, Joël Ménard, Jean‐Patrice Baillargeon, Jean‐Luc Ardilouze, Marie‐France Langlois

Bibliographic record

VenueInternational Journal of Sports Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineOverweightReproducibilityAnthropometryMorningHeart rateWaistBody mass indexPhysical therapyConfidence intervalPopulationRepeatabilityObesityProspective cohort studyBlood pressureInternal medicine

Abstract

fetched live from OpenAlex

The six-minute walk test (6MWT) is an inexpensive, quick and safe tool to evaluate the functional capacity of patients with heart failure and chronic obstructive pulmonary disease. The aim of this study was to determine the reproducibility of the 6MWT in overweight and obese individuals. We thus undertook a prospective repeated-measure validity study taking place in our academic weight management outpatient clinic. The 6MWT was conducted twice the same day in 21 overweight or obese adult subjects (15 females and 6 males). Repeatability of walking distance was the primary outcome. Anthropometric measures, blood pressure and heart rate were also recorded. Participant's mean BMI was 37.2+/-9.8 kg/m(2) (range: 27.0-62.3 kg/m(2)). Walking distance in the morning (mean=452+/-90 m) and in the afternoon (mean=458+/-97 m) were highly correlated (r=0.948; 95% Confidence Interval 0.877-0.978; p<0.001). Walking distance was negatively correlated with BMI (r=-0.47, p=0.03), waist circumference (r=-0.43, p=0.05) and pre-test heart rate (r=-0.54, p=0.01). Our findings indicate that the 6MWT is highly reproducible in obese subjects and could thus be used as a fitness indicator in clinical studies and clinical care in this population.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.568
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.280
Teacher spread0.270 · 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

Citations162
Published2009
Admission routes1
Has abstractyes

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