Síntomas depresivos y distrés laboral en trabajadores chilenos: condiciones diferenciales para hombres y mujeres
Bibliographic record
Abstract
This article assessed depressive symptoms associated with work-related psychosocial risk factors according to gender in Chile, using the demand-control model (Karasek) and effort-reward imbalance (Siegrist). A cross-sectional study was conducted in a random sample of 3,010 workers (35% female and 65% male) from the country. Data analysis determined prevalence and associations through various statistical techniques (χ2, logistic regression). Exposure to psychosocial risk factors at work and prevalence of depressive symptoms were higher in women than men (15% vs. 5%). The adjusted analysis highlighted that female workers exposed to Isostrain (OR = 2.34; 95%CI: 1.42-3.85) and low rewards (OR = 2.13; 95%CI: 1.41-3.21) and male workers exposed to psychological demands (OR = 3.04; 95%CI: 1.94-4.76) and effort-reward imbalance (OR = 2.19; 95%CI: 1.39-3.46) had increased risk of depressive symptoms. Exposure to work-related psychosocial risk factors was associated with depressive symptoms in Chilean workers. Effective prevention in key aspects of work organization is thus needed.
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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 | 0.002 |
| 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 | 0.001 | 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".