Motivation for health and a healthy lifestyle among employees of the aluminum and coal industry
Bibliographic record
Abstract
Introduction. Th e system of formation of a healthy lifestyle is recognized as the most important area of prevention. Studies of motivation for health and healthy lifestyles in workers engaged in harmful working conditions are few and indicate the negative impact of occupational disease on the psychosocial status of patients, a signifi cant impact of adherence to a healthy lifestyle on the prevalence and course of somatic diseases and the need to develop health-saving behavior. The aimof the studywas to study the prevalence of diff erent levels of motivation for maintaining health and a healthy lifestyle among workers in the metallurgical and coal industries. Materials and methods.72 workers of mines and sections of the South of Kuzbass with the established diagnosis of occupational disease were surveyed; 372 workers of the aluminum plant and 54 people who do not work in harmful working conditions (engineering and technical workers). The surveys were conducted by the method of «Motivation index for health and healthy lifestyle», alexithymia was evaluated by the method of «Toronto scale of alexithymia (TAS)» with the informed consent of the subjects. Results.Th e high level of motivation for health and a healthy lifestyle among employees of the aluminum industry corresponds to the population. Th e group of coal industry workers with occupational diseases surveyed is dominated by a low level of motivation to maintain health and a healthy lifestyle. In the group of workers who are not employed in harmful working conditions, a high degree of motivation for health and a healthy lifestyle is determined. Th e predominance of motivation on emotional and cognitive scales among workers not employed in harmful working conditions was revealed. In the group of coal industry workers with occupational diseases, the number of persons with a high level of motivation on an emotional scale has been reduced. Among persons with alexithymia signifi cantly reduced the level of motivation on an emotional scale. Among the workers of the coal industry with occupational diseases revealed signifi cantly higher prevalence of alexithymia. Conclusions. It is assumed that the link of reduced motivation for health in persons with occupational diseases with the presence of alexithymia.
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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 | 0.001 |
| 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) | 0.002 | 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".