Associations between Early Psychosocial Deprivation, Cognitive and Psychiatric Morbidity, and Risk-taking Behavior in Adolescence
Bibliographic record
Abstract
OBJECTIVE: Early psychosocial deprivation increases the risk of later cognitive and psychiatric problems, but not all deprived children show these difficulties. Here, we examine the extent to which psychosocial deprivation increases the risk of later cognitive and psychiatric difficulties and the downstream consequences of this for risk-taking behavior in adolescence. METHOD: Children abandoned to institutions early in life were randomly assigned to care-as-usual or a foster care intervention during infancy. A separate group of never-institutionalized children was recruited as a comparison sample. The current follow-up study included 165 children (51% female), 113 with a history of institutionalization and 52 with no such history. At age 12, caregivers reported on children's psychiatric difficulties, and their IQ was assessed by standardized testing. At 16 years, risk-taking behavior was assessed from youth self-reports. RESULTS: = 15, 9.4%). Nearly half of the institutionalized children belonged to the High- or Medium-Morbidity subgroups; and institutionally-reared children were significantly more likely to belong to one of these profiles than never-institutionalized children. Compared to the Low-Morbidity subgroup, membership in the Medium-Morbidity profile was associated with higher levels of risk-taking behavior at age 16 years. CONCLUSIONS: Children who experience psychosocial deprivation are considerably more likely to present with elevated cognitive and psychiatric difficulties in early adolescence and, for some children, this elevation is linked to heightened risk-taking behavior in later adolescence.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".