Global deficits in executive functioning are transdiagnostic mediators between severe childhood neglect and psychopathology in adolescence
Bibliographic record
Abstract
BACKGROUND: Children reared in institutions experience profound deprivation that is associated with both heightened levels of psychopathology and deficits in executive functioning (EF). It is unclear whether deficits in EF among institutionally-reared children serve as a vulnerability factor that increases risk for later psychopathology. It is also unclear whether this putative association between EF and psychopathology is transdiagnostic (i.e. cuts across domains of psychopathology), or specific to a given syndrome. Thus, we examined whether global deficits in EF mediate the association between severe childhood neglect and general v. specific psychopathology in adolescence. METHODS: The sample consisted of 188 children from the Bucharest Early Intervention Project, a longitudinal study examining the brain and behavioral development of children reared in Romanian institutions and a comparison group of never-institutionalized children. EF was assessed at age 8, 12, and 16 using a well-validated measure of neuropsychological functioning. Psychopathology was measured as general (P) and specific internalizing (INT) and externalizing (EXT) factors at age 12 and 16. RESULTS: Institutionally-reared children had lower global EF and higher general psychopathology (P) at all ages compared to never-institutionalized children. Longitudinal path analysis revealed that the effect of institutionalization on P at age 16 operated indirectly through poorer EF from ages 8 to 12. No indirect effects involving EF were observed for INT or EXT at age 16. CONCLUSIONS: We conclude that stable, global deficits in EF serve as a cognitive endophenotype that increases transdiagnostic vulnerability to psychopathology in adolescence among those who have experienced profound early neglect.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".