Domain-Specific Active and Sedentary Behaviors in Relation to Workers’ Presenteeism and Absenteeism
Bibliographic record
Abstract
OBJECTIVES: To examine the associations between domain-specific sedentary and active behaviors and workers' presenteeism and absenteeism in a sample of company employees. METHODS: This study recruited participants (n = 2466) from a nationwide online survey database (Japan, 2019). Participants completed a questionnaire that captured data on relative and absolute presenteeism and absenteeism and domain-specific physical activity and sedentary behaviors. RESULTS: Daily minutes of work-related physical activity were negatively associated with relative absenteeism. Daily minutes of leisure-related physical activity were positively associated with absolute presenteeism (ie, better productivity). Daily minutes of total physical activity were negatively and positively associated with relative absenteeism and absolute presenteeism (ie, better productivity). There was also a positive association between car sitting time and absolute absenteeism. CONCLUSIONS: A change in work culture and practices that support active behaviors at work and outside of work may improve employee's productivity indices.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".