Gender, precarious work, and chronic diseases in South Korea
Bibliographic record
Abstract
OBJECTIVE: In view of the growing number of nonstandard workers in South Korea, this study examined whether nonstandard workers reported poorer health compared to standard workers and assessed whether there were gender differences in the association between employment status and chronic health outcomes. METHOD: Data were taken from a representative-weighted sample of 1,563 men and 1,045 women aged 20-64, from the 2001 National Health and Nutrition Examination Survey. Nonstandard employment included part-time work, temporary work, and day labor. Self-rated health and self-reported chronic disease conditions were used as health measures. MAIN RESULTS: Nonstandard employment was significantly associated with higher risk of self-rated health and chronic conditions after adjusting for socioeconomic position (education, occupational class, and income) and health behaviors (cigarette smoking, alcohol consumption, regular exercise, and health examinations). However, the pattern in the relation between nonstandard work and specific health problems greatly differed by gender. Among men, nonstandard work arrangements were significantly associated with musculoskeletal disorders (OR 1.97, 95% CI 1.24-3.19) and liver disease (OR 2.83, 95% CI 1.27-6.32). Among women, nonstandard employment was related to mental disorders (OR 3.25, 95% CI 1.40-7.56). CONCLUSION: The findings clearly indicate the need for further study of the observed associations, particularly prospective and analytical studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".