Maternal mental health and internalizing and externalizing psychopathology in extremely low birth weight adults
Bibliographic record
Abstract
The mental health of adult extremely low birth weight (ELBW) (<1000 g) survivors is poorer than their normal birth weight (NBW) peers. An understanding of the modifiable factors that affect this risk could provide targets for intervention. We set out to determine the extent to which a maternal history of mental health problems influenced mental health in ELBW and NBW offspring in adulthood. A total of 85 ELBW and 88 NBW individuals born between 1977 and 1982 in central west Ontario, Canada self-reported on internalizing (depression, anxiety) and externalizing (attention-deficit hyperactivity and antisocial) problems using the Diagnostic and Statistical Manual of Mental Disorders (DSM) scales of the Young Adult Self-Report at ages 22-26 and 30-35. They also reported on their mother's maternal mental health using the Family History Screen. An interaction was found between birth weight status and maternal history of an anxiety disorder such that ELBW survivors showed a greater increase in internalizing scores than NBW participants at 22-26 (β = 10.27, p = 0.002) and at 30-35 years of age (β = 12.65, p = 0.002). An interaction was also observed between birth weight and maternal history of mood disorder, with higher externalizing scores in ELBW survivors than NBW adults at 22-26 (β = 7.21, p < 0.0001). ELBW adults appear to be more susceptible to the adverse mental health effects of exposure to maternal mood and anxiety disorders than those born at NBW. These links further highlight the importance of detecting and treating mental health problems in the parents of preterm survivors as a means of attempting to reduce the burden of psychopathology in this population.
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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 | 0.001 |
| 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".