Leisure but Not Occupational Physical Activity and Sedentary Behavior Associated With Better Health
Bibliographic record
Abstract
OBJECTIVE: This study explores relations between occupational and leisure-time physical activity (OPA, LTPA) and sedentary behavior (OSB, LTSB) and several health outcomes. METHODS: A total 114 full-time workers had their body composition, waist circumference, height, weight, resting heart rate, and resting blood pressure measured. ActivPal monitor measured physical activity behaviors. Stress, mood, and pain were measured with ecological momentary assessment. General linear models were used to examine the relationship between high and low OPA, LTPA, OSB, and LTSB with each health outcome while controlling for covariates. RESULTS: The high LTPA group had lower body mass index (BMI) (P = 0.04) and better mood (P = 0.007) than the low LTPA group. The high LTSB group had higher systolic blood pressure (P = 0.001), higher diastolic blood pressure (P = 0.01), higher BMI (P = 0.027), higher body fat percentage (P = 0.003), higher waist circumference (P = 0.01), and worse mood (P = 0.032) than the low LTSB group. No differences were found between OPA and OSB groups. CONCLUSIONS: These findings suggest there may be differential relations between PA and SB accumulated during leisure versus occupational time.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".