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Record W2321301678 · doi:10.1177/1479972315619574

Walk2Bactive

2015· article· en· W2321301678 on OpenAlexafffund
Joana Cruz, Dina Brooks, Alda Marques

Bibliographic record

VenueChronic Respiratory Disease · 2015
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersCanada Research Chairs
KeywordsMedicinePhysical therapyPhysical activityQuality of life (healthcare)Pulmonary rehabilitationInternal medicineCOPDRehabilitation

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the impact of a physical activity (PA)-focused behavioural intervention during and after pulmonary rehabilitation (PR) on PA levels (primary aim), health-related outcomes and self-efficacy (secondary aims) of patients with COPD. Thirty-two patients were randomly assigned to an experimental group (EG) or control group (CG). The EG received a PA-focused behavioural intervention during PR (3 months) and follow-up support (3 months). The CG received PR (3 months). Daily PA was collected: number of steps; time spent in moderate-to-vigorous PA (MVPA), total PA and sedentary activities (SA). Secondary outcomes comprised exercise capacity, muscle strength, health-related quality of life (HRQOL) and self-efficacy. Measures were collected at baseline, 3 and 6 months. Compared with the CG, the EG improved the number of steps (p = 0.006) and time spent in MVPA (p = 0.007), total PA (p = 0.014) and SA (p = 0.018) at 3 months. Differences were maintained after follow-up support (0.025 ≤ p ≤ 0.040), except for SA (p = 0.781). Exercise capacity, muscle strength and HRQOL were increased at 3 and 6 months (p ≤ 0.002) with no between-group differences (0.148 ≤ p ≤ 0.987). No changes were observed in self-efficacy (p = 0.899). A PA-focused behavioural intervention during and after PR may improve patients' PA levels. Further research is warranted to assess the sustainability of the findings.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.052
GPT teacher head0.335
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations102
Published2015
Admission routes2
Has abstractyes

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