Gain of employment and depressive symptoms among previously unemployed workers: A longitudinal cohort study in South Korea
Bibliographic record
Abstract
BACKGROUND: The goal of this study is to examine the association between gain of employment and depressive symptoms among previously unemployed workers in South Korea. METHODS: Using data from the on-going Korean Welfare Panel Study, we determined four different employment statuses (i.e., unemployment, part-time precarious, full-time precarious, full-time permanent employment) at follow up (2008 or 2010) among the unemployed at baseline (2007 or 2009) and examined their association with depressive symptoms after excluding the people with depressive symptoms at baseline (N = 308). Depressive symptoms were assessed annually using the 11-item Center for Epidemiologic Studies Depression Scale. RESULTS: After adjusting for covariates including health-related variables, unemployed individuals who gained full-time permanent employment (RR: 0.38, 95% CI: 0.18, 0.83) and those who gained full-time precarious employment (RR: 0.26, 95% CI: 0.11, 0.63) were less likely to have depressive symptoms compared to those with persistent unemployment. In a subpopulation analysis conducted after additionally excluding the people with depressive symptoms 1 year before baseline, only the association between gaining full-time permanent employment and depressive symptoms was significant (RR: 0.27, 95% CI: 0.08, 0.86). CONCLUSIONS: Our findings highlight the benefits of full-time permanent employment on worker's mental health.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".