Association of adverse childhood experiences and neurodevelopmental disorders in people with fetal alcohol spectrum disorders (FASD) and non-FASD controls
Bibliographic record
Abstract
BACKGROUND: Fetal alcohol spectrum disorder (FASD) is a highly prevalent lifelong disorder with high rates of comorbid neurodevelopmental disorders. Individuals with FASD are often exposed to abuse, neglect and foster home placements which have uncertain effects on the lifelong course of FASD. In this study we compare the prevalence of adverse childhood events (ACEs) and neurodevelopmental disorders in subjects with fetal alcohol spectrum disorders (FASD) and non-FASD controls. METHODS: A cross-sectional chart review of patients referred to a regional developmental center was used to identify people with FASD and non-FASD controls. We recorded the number of ACEs and neurodevelopmental disorders in each patient's chart. The most common diagnoses were attention deficit hyperactivity disorder, comprehension deficits, sleep disorders, and cognitive impairments. T-tests and a regression equation were utilized to determine significant differences between the groups. RESULTS: The review identified 203 subjects, 98 with FASD and 105 non-FASD controls. Group mean age was 8.6 years and 64.5% were male. People with FASD were more likely to have any ACEs (mean 5.3) with ACE scores 3.7 points higher than non-FASD controls (mean 1.69) (t = 11.29; p < .001). Increased ACEs were associated with increased rates of neurodevelopmental disorders for people with FASD (R = .179, p = .026) but not for non-FASD controls (R = .130, p = .094). CONCLUSIONS: Both FASD and subsequent exposure to ACEs are associated with increased risk for development of comorbid neurodevelopmental disorders. Prevention of ACEs during childhood may decrease risk for development of comorbid neurodevelopmental disorders.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".