Associação entre depressão, estresse, ansiedade e uso de álcool entre servidores públicos
Bibliographic record
Abstract
OBJETIVO: identificar a associação de sintomatologia depressiva com variáveis sociodemográficas, exposição e dimensões do estresse ocupacional. MATERIAL E MÉTODO: trata-se de estudo transversal, com 1.239 trabalhadores da categoria técnico-administrativa de uma universidade pública do interior do Estado de São Paulo. Foram avaliadas questões sociodemográficas, sintomatologia depressiva e ansiosa, uso problemático de álcool e estresse no trabalho. RESULTADOS: os servidores públicos relataram trabalhar sob baixa demanda psicológica e alto controle sobre o trabalho executado, além de atuar com baixa exigência. Cerca um quinto dos trabalhadores apresentou sintomatologia ansiosa e/ou depressiva e 13,2% preencheram critérios para uso problemático de álcool. CONCLUSÃO: os achados deste estudo indicam aspectos relevantes a serem enfocados por planos e estudos de intervenção, para prevenir o adoecimento mental dos trabalhadores, principalmente relacionado à sintomatologia depressiva.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".