Incidence and Course of Suicidal Ideation and Suicide Attempts in the General Population
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
OBJECTIVE: Suicidal ideation and suicide attempts are important indicators of extreme emotional distress. However, little is known about predictors of onset and course of suicidality in the general population. Our study tried to fill this gap by analyzing data from a prospectively followed community sample. METHOD: Data were derived from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), a 3-wave cohort study in a representative sample (n = 4848) of the Dutch adult general population. RESULTS: The 3-year incidence of suicidal ideation and suicide attempts was 2.7% and 0.9%, respectively. Predictors of first-onset suicidal ideation and suicide attempts were sociodemographic variables (especially the negative change in situation variables), life events, personal vulnerability indicators, and emotional (mood and anxiety) disorders. Comparison of the corresponding odds ratios and confidence intervals revealed that predictors for first-onset suicidal ideation and suicide attempts did not differ significantly. One of the strongest predictors of incident suicide attempts was previous suicidal ideation. Regarding the course of suicidal ideation, it was found that 31.3% still endorsed these thoughts and 7.4% reported having made a suicide attempt 2 years later. CONCLUSIONS: Similar predictors were found for first-onset suicidal ideation and suicide attempts. This suggests that suicidal behaviours may be ordered on a continuum and have shared risk factors. While suicidal thoughts may be necessary for, they are not sufficient predictors of, suicidal acts. The course of suicidality in the general population can be characterized by a minority of people having suicidal experiences that develop over time with progressively increasing severity.
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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 | 0.001 | 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