Costs of Presenteeism and Absenteeism Associated With Psychological Distress Among Male and Female Older Workers
Bibliographic record
Abstract
OBJECTIVE: We estimated, for women and men (1) the associations between psychological distress and the prevalences of presenteeism and absenteeism, (2) average hours lost annually per person, and (3) costs from the employers' economic perspective. METHODS: Participants were 1292 Canadian white-collar workers. Psychological distress, presenteeism, and absenteeism were assessed with validated questionnaires. The average annual hours of productivity loss and related costs were estimated using generalized linear models with a negative binomial distribution and a log link. RESULTS: High psychological distress in women and men was associated with presenteeism costs ($6944 and $8432) and absenteeism costs ($2337 and $2796 per person). The association between psychological distress and annual hours lost to presenteeism was twice stronger for men than women. CONCLUSIONS: Productivity losses associated with psychological distress are high in women and men older workers.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".