Psychopathology in young adults born at extremely low birth weight
Bibliographic record
Abstract
BACKGROUND: Little is known about the long-term mental health of extremely low birth weight (ELBW) (<1000 g) survivors. We test whether young adults aged 22 to 26 years born at ELBW differ from normal birth weight (NBW) controls in self-reported levels of psychopathology. METHOD: Participants included 142 ELBW survivors (86% response) born between 1977 and 1982 to residents of central-west Ontario, Canada and 133 NBW control subjects (92% response). The Young Adult Self-Report measure was used to create five DSM-IV oriented scales aggregated to form internalizing (depressive problems, anxiety problems, avoidant personality problems) and externalizing (attention deficit-hyperactivity disorder problems and antisocial personality problems) scales. RESULTS: After adjusting for family background characteristics, mean scores for ELBW survivors were 3.02 [95% confidence interval (CI) 0.78-5.26] points higher for internalizing problems and no different, i.e. 0.00 (95% CI -1.17 to 1.17), for externalizing problems. There was a sex × group statistical interaction such that being male muted the risk for externalizing problems among those born at ELBW: -2.11 (95% CI -4.21 to -0.01). Stratifying ELBW adults as born small for gestational age (SGA) versus appropriate weight for gestational age (AGA) revealed a significant gradient of risk for levels of internalizing problems that was largest for SGA, i.e. 4.75 (95% CI 1.24-8.26), and next largest for AGA, 2.49 (95% CI 0.11-4.87), compared with NBW controls. CONCLUSIONS: Depression, anxiety and avoidant personality problems (internalizing problems) are elevated in young adulthood among ELBW survivors. This effect is relatively small overall but noticeably larger among ELBW survivors born SGA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".