EPA-0831 – Prevalence of at-risk criteria of psychosis in the swiss general population between 8 and 40 years.
Bibliographic record
Abstract
The prevalence and pathological value of attenuated psychotic symptoms (APS) and other at-risk criteria in general population the age range of highest risk of (beginning) psychosis, when assessed in the same way as in help-seeking persons, is still unclear. In 2 complimentary studies, we studied the 3-month prevalence of ultra-high risk and basic symptom at-risk criteria assessed with the Structured Interview for Psychosis-Risk Syndromes (SIPS) and the Schizophrenia Proneness Instrument, Adult version (SPI-A) in random Swiss general population samples of 8–17 years and 16–40 years. Children and adolescents were assessed in a face-to-face, young adults in a telephone interview by trained clinical psychologists. Exclusion criteria were communication problems andl ife-time psychosis. 1’229 interviews with young adults and 55 interviews with children and adolescents were completed. While 2.8% of the young adults acknowledged the presence of any one at-risk criterion within the last 3 months, 9.1% of the children and adolescents did so. An age-related difference was also found in the prevalence of at least 1 lifetime at-risk phenomenon: 25.2% in young adults and 45.5% in children and adolescents. While at-risk phenomena occur in a quarter of young adults of the general population and even in nearly half of the children and adolescents at least temporarily, only a minority reports sufficient recency, frequency or change in severity of these phenomena to meet present at-risk criteria according to SIPS and SPI-A. This highlights the importance of the recency, frequency or behavior-/conviction-related change-in-severity criteria included in the at-risk criteria.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.005 | 0.001 |
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".