Combined effects of prenatal ozone exposure and school/neighborhood environments on youth brain, cognition, and psychotic‐like experiences
Bibliographic record
Abstract
BACKGROUND: Humans are inevitably exposed to multiple physical and social environmental risk factors, potentially contributing to psychiatric problems and cognitive deficits; however, the combined effects of prenatal air pollution and psychosocial environments on youth remain unclear. This longitudinal study aimed to examine how prenatal ozone exposure interacts with psychosocial environments at 9-10 years to affect adolescent limbic system development, cognition, and psychotic-like experiences (PLEs) at 11-13 years. METHODS: We analyzed data from 6,778 participants in the Adolescent Brain Cognitive Development (ABCD) Study® at two time points (baseline: 9-10 years and 2-year follow-up). Prenatal ozone exposure was calculated as a 9-month average of daily exposure estimates based on birth year and address. Social environmental factors included school environment and neighborhood safety at both time points. Structural MRI measures included bilateral amygdala and hippocampus volumes at both time points. Behavioral data consisted of cognition and PLEs scores at both time points. Moderation and moderated mediation models with cluster-robust standard errors were constructed to examine the effects, controlling for covariates. RESULTS: Children who were prenatally exposed to greater ozone and had a more unfavorable school environment exhibited a smaller increase in left hippocampal volume, leading to poorer cognition and more PLEs. Moreover, children who were prenatally exposed to greater ozone and lived in a more unsafe neighborhood had a larger increase in right amygdala volume. CONCLUSIONS: This longitudinal study is the first to demonstrate the combined effects of prenatal ozone pollutant and adverse social environments in childhood on youth psychotic-like experiences and cognition, highlighting the limbic system as an important neural mechanism underlying the effects.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".