Measurement properties of the SenseWear armband in adults with chronic obstructive pulmonary disease
Why this work is in the frame
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Bibliographic record
Abstract
RATIONALE: The SenseWear armband (SAB) is designed to measure energy expenditure (EE). In people with chronic obstructive pulmonary disease (COPD), EE estimated using the SAB (EE(SAB)) is a popular outcome measure. However, a detailed analysis of the measurement properties of the SAB in COPD is lacking. OBJECTIVE: To examine the sensitivity of EE(SAB), agreement between EE(SAB) and EE measured via indirect calorimetry (EE(IC)), and its repeatability in COPD. METHODS: 26 people with COPD (forced expiratory volume in 1 s (FEV(1))=49+/-18% predicted; 15 males) spent 6 min in five standardised tasks that comprised supine, sitting, standing and two walking speeds. A subgroup (n=12) walked using a rollator. Throughout each task, measurements of EE(SAB) and EE(IC) were collected. The protocol was repeated on a second day. RESULTS: EE(SAB) increased between standing and slow walking (2.4, metabolic equivalents (METs) 95% CI 2.2 to 2.7) as well as slow and fast walking (0.5 METs, 95% CI 0.3 to 0.7). Considering all tasks together, the difference between EE(SAB) and EE(IC) was -0.2 METs (p=0.21) with a limit of agreement of 1.3 METs. The difference between days in EE(SAB) was 0.0 METs with a coefficient of repeatability of 0.4 METs. Rollator use increased the variability in EE(SAB), compromising its repeatability and agreement with EE(IC). CONCLUSIONS: EE(SAB) was sensitive to small but important changes. There was fair agreement between EE(SAB) and EE(IC), and measurements of EE(SAB) were repeatable. These observations suggest that the SAB is useful for the evaluation of EE in patients with COPD who walk without a rollator.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it