Incidental Physical Activity Is Positively Associated with Cardiorespiratory Fitness
Bibliographic record
Abstract
PURPOSE: The primary aim was to determine whether incidental physical activity (IPA), expressed either as duration or intensity, was associated with cardiorespiratory fitness (CRF). METHODS: Participants were inactive abdominally obese men (n = 43, waist circumference ≥ 102 cm) and women (n = 92, waist circumference ≥ 88 cm) recruited from Kingston, Canada. IPA (>100 counts per minute) was determined by accelerometry during 7 d and categorized into duration (min·d(-1)) and intensity (counts per minute). In secondary analyses, IPA was further categorized as light physical activity (LPA, 100-1951 counts per minute) and sporadic moderate physical activity (MPA, ≥ 1952 counts per minute accumulated in bouts <10 consecutive minutes). CRF was assessed using a maximal treadmill exercise test. RESULTS: Participants accumulated 308.2 ± 98.8 (mean ± SD) min of IPA per day of which 19.2 ± 13.5 min was spent in sporadic MPA. Mean CRF was 26.8 ± 4.7 mL·kg(-1) body weight·min(-1). IPA duration was positively associated with CRF in the univariate model (r2 = 0.03, P < 0.05) and after control for gender and body mass index (r2 = 0.53, P < 0.01). Likewise, IPA intensity was positively associated with CRF in univariate (r2 = 0.18, P < 0.001) and multivariate analyses (r2 = 0.56, P < 0.01). After further control for each other, IPA duration was not associated with CRF (P = 0.05), whereas IPA intensity remained a significant predictor (r2 = 0.57, P < 0.001). In secondary analyses, LPA was not associated with CRF (P > 0.05). Sporadic MPA was associated with CRF (r2 = 0.20, P < 0.001) and remained a positive correlate after control for gender, body mass index, and the other physical activity variables (r2 = 0.60, P < 0.001). CONCLUSIONS: In this study, both duration and intensity of IPA were positively associated with CRF among inactive abdominally obese adults. Sporadic MPA, but not LPA, was an independent predictor of CRF.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".