Socioeconomic Inequalities in the Continuum of Suicidal Ideation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Background: Suicidal ideation changes over time. Few studies have examined socioeconomic inequalities in suicide ideation regarding interrelated indicators of incidence, persistence, and remission. Aim: We aimed to investigate how socioeconomic characteristics are related to the incidence, persistence, and remission of suicidal ideation in South Korea. Methods: We assessed the incidence of suicidal ideation at the 1-year follow-up among individuals without prior suicidal ideation and its persistence and remission at the 2-year follow-up. We conducted a multinomial logistic regression analysis to examine the association between SES and three indicators of the course of suicidal ideation. Results: Among 8,334 respondents, the 12-month incidence of suicidal ideation was 2.1%. Among these cases, 18.5% persisted, while 81.5% remitted. Low SES, particularly income, was strongly associated with the incidence, persistence, and remission of suicidal ideation. The socioeconomic association was strongest for persistent suicidal ideation (adjusted odds ratio [aOR]: 3.66; 95% confidence interval [CI]: 1.47–9.10), followed by incidence (aOR: 1.59; 95% CI: 1.10–2.29) and remission (aOR: 1.32; 95% CI: 0.88–1.97) of suicidal ideation. Limitations: We could not examine changes in these risk factors during the follow-up period. Conclusion: Adverse socioeconomic circumstances may precipitate the worsening in the course of suicidal ideation. Addressing the socioeconomic determinants of suicidal ideation should be prioritized.
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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 | 0.000 |
| 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) | 0.000 | 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 it