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Record W4244884532 · doi:10.1055/s-0034-1398533

The 6-min Walk Test Reflects Functional Capacity in Primary Care and Obese Patients

2015· article· en· W4244884532 on OpenAlexafffundabout
Aurélie Baillot, Jean‐Patrice Baillargeon, Christine Brown, Marie‐France Langlois

Bibliographic record

VenueInternational Journal of Sports Medicine · 2015
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsTest (biology)Primary careMedicinePhysical therapyPhysical medicine and rehabilitationFamily medicineBiology

Abstract

fetched live from OpenAlex

The main purpose of this study was to determine the association between the 6-min walk test distance (6MWTD) and physical functional capacity (PF) in primary care patients, as well as in obese individuals. We studied 351 subjects (age=56.8±14.6 years; BMI=29.4±5.7 kg/m(2); 68% women), including 141 obese subjects (BMI≥30 kg/m(2)), recruited in 10 different family practices. Physical (PCS) and mental component summary of the health-related quality of life (HRQOL) and the 8 sub-scores were measured using the Short Form-36 Health Survey. Anthropometry, vital signs and physical testing were measured according to standardized protocols. Recreational physical activity (LPA) and sedentary levels were determined using the Canadian Community Health Survey. In a stepwise multivariate analysis, 65% of the 6MWTD variance was explained by PF of the HRQOL, age, quadriceps strength, number of chronic diseases, LPA categories, BMI, resting heart rate, PCS, height and TV-viewing categories in primary care subjects. In the obese individuals, PF, age, quadriceps strength and BMI explained 57% of the 6MWTD variance. In these 2 groups, 44% of the 6MWTD variance is explained by PF only. To conclude, the 6MWTD is strongly associated with PF of the HRQOL. Thus, it adequately reflects physical limitations in daily life activities of primary care patients, including obese individuals.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.100
GPT teacher head0.417
Teacher spread0.317 · 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

Citations15
Published2015
Admission routes3
Has abstractyes

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