Workplace health promotion as a tool for reducingthe consequences of ageing of the working population
Bibliographic record
Abstract
A significant intensification of the ageing process in Poland, projected for the upcoming years, will have serious socioeconomic consequences. This demographic process at the macro level will result in lower contributions to the state budget (due to decreased workforce) and higher public expenses (on pensions, healthcare and long-term care). Implications at the meso (workplace) level will include the diminishing and ageing of workforce, which will then cause troubles in recruitment. Decreased ageing personnel's productivity due to absence and presenteeism is also probable. One way of coping with such challenges by the state is to support social and occupational activity of the society. One of the tools to be employed within such a policy is workplace health promotion (WHP). In literature there are no thorough elaborations summarizing WHP advantages in this field. The aim of this paper is to outline the scientific evidence of WHP effectiveness in counteracting/reducing the consequences of the ageing process (the shrinking workforce and the declining productivity of the ageing personnel, associated with absence/presenteeism). A narrative literature review was conducted (Polish and English publications identified in the EBSCO/PubMed databases, using the Google engine and a snowball method). The potential of WHP stems from its effectiveness in enhancing employees' health/preventing health problems. A good health condition reduces the shrinking of workforce via sustaining workability/occupational activity. It also mitigates the impact of absence and/or presenteeism. Health problems have the opposite effect. Although the analysis of the WHP effectiveness in strengthening workability, extending occupational activity, reducing absence/presenteeism/related loss of productivity belongs to poorly developed scientific areas, the systematic literature reviews that have been gathered reflect the WHP potential in these fields. Med Pr. 2019;70(5):617-31.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".