Childhood and adolescent mental health of NICU graduates: an observational study
Bibliographic record
Abstract
OBJECTIVE: To investigate the mental health of children and adolescents admitted to neonatal intensive/special care units (NICUs) in infancy. METHODS: This cross-sectional study used a provincially representative cohort from the 2014 Ontario Child Health Study. Parents provided data on psychiatric disorders using the MINI International Neuropsychiatric Interview for Children and Adolescents in 3141 children aged 4-11 years (NICU n=389; control n=2752) and in 2379 children aged 12-17 years (NICU n=298; control n=2081). Additionally, 2235 adolescents aged 12-17 years completed the interview themselves (NICU n=285; control n=1950). Odds of psychiatric disorder were compared in those admitted and controls. RESULTS: Based on parent reports, NICU graduates aged 4-11 years had increased adjusted ORs (95% CI) of 1.78 (1.39 to 2.28) for any psychiatric disorder, with a marginal prevalence of 32.4% in NICU participants and 27.6% in controls. At this age, NICU graduates also had increased ORs of 1.74 (1.25 to 2.40) for psychiatric comorbidity, 1.48 (1.04 to 2.11) for oppositional defiant disorder, 1.61 (1.19 to 2.19) for attention-deficit hyperactivity disorder, 4.11 (2.33 to 7.25) for separation anxiety disorder and 2.13 (1.37 to 3.31) for specific phobia. At 12-17 years, 40.5% and 30.5% of NICU graduates and 30.6% and 17.9% of controls had any psychiatric disorder as reported by parents and self-report, respectively. Parents and adolescents, respectively, reported increased adjusted ORs (95% CI) of 1.63 (1.18 to 2.26) and 1.55 (1.13 to 2.11) for any disorder, 1.64 (1.06 to 2.54) and 1.74 (1.11 to 2.73) for psychiatric comorbidity, and 1.89 (1.22 to 2.93) and 3.17 (2.03 to 4.95) for oppositional defiant disorder. CONCLUSIONS: NICU graduates are at increased risk for psychiatric disorders during childhood and 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".