An Examination of Sustained Versus Transient Distressing Psychotic-Like Experiences Using Adolescent Brain Cognitive Development℠ Study Data
Bibliographic record
Abstract
Abstract Objective A potential distinguishing factor between more benign and transient psychotic-like experiences (PLEs) versus PLEs that predict risk for psychiatric disorders is whether the PLEs are sustained and distressing (sustained dPLEs). The current study examined associations of both sustained and transient dPLEs with relevant risk factors (e.g., cognition), use of mental health services, and functional correlates (e.g., school performance) in school-age children. Method The current study used three Adolescent Brain Cognitive Development℠ study data waves to create sustained dPLE (n=272), transient dPLE (n=244), and control (n=272) groups. Hierarchical linear models examined whether these groups differed in terms of use of mental health services, functional correlates, family history of mental disorders, other symptoms (e.g., parent-rated psychotic symptoms, internalizing, externalizing symptoms), environmental factors (e.g., adverse childhood events [ACEs]), cognitive functioning, developmental milestone delays, and neuroimaging indices. Results Several factors were more strongly associated with sustained versus transient dPLEs, including use of mental health services (for sustained vs. controls: d=0.38), drop in grades (d=--.30), other symptoms (i.e., parent-rated psychotic, bipolar, internalizing, externalizing, suicidality; 0.33>ds<0.88), ACEs (d=.36), and lower fluid and executive functioning cognitive scores (-0.31>ds<-0.41). For most risk factors, the sustained dPLEs group showed the greatest impairments, followed by the transient group, with the control group showing the least impairments. Conclusions These results have implications for understanding the pathogenesis of dPLEs, including indicating that several factors may distinguish transient from persisting dPLEs in children, including higher symptoms and ACEs, lower executive functioning scores, greater use of mental health services, and worsening school performance.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".