Test–retest reliability of a portable monitor to assess energy expenditure
Bibliographic record
Abstract
The ability of the SenseWear Armband (SWA) to estimate energy expenditure (EE) in adults is established. However, except for resting metabolic rate, the test-retest reliability of the SWA for the estimation of EE in adults is unknown. To explore reliability, 34 healthy adults (50% women; age, 26.7 ± 6.1 years; body mass index, 23.6 ± 3.3 kg·m(-2)) completed a 2-day study protocol. During 13 h of direct supervision, subjects completed, each day, 60 min of lying awake rest, 30 min of structured sedentary activity, 45 min of walking circuit, and 45 min of ergocycling at 50% of their peak oxygen uptake. For the remaining 10 h, subjects remained seated. The SWA showed significant intraclass correlations between the 2 days of testing for the overall 13 h of direct supervision (r = 0.97; p < 0.001), the lying awake rest (r = 0.98; p < 0.001), the structured sedentary activity (r = 0.62; p < 0.05), the walking circuit (r = 0.95; p < 0.001), and the standardized physical activity (r = 0.85; p < 0.001). The results of this study indicate that the SWA is a reliable tool to estimate EE during multiple activities. These data provide additional evidence of the usefulness of the SWA in monitoring EE in healthy adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".