Prenatal Air Pollution and Child Behavior: ECHO Cohort Analysis

8,370 mother-child dyads from 28 ECHO Cohort sites were analyzed for associations between prenatal air pollution exposure and early childhood behavior. The dataset contains results from linear mixed-effects models linking estimated levels of nitrogen dioxide, fine particulates, and ozone to Child Behavior Checklist scores. The data was authored by Jiwon Oh and last updated on May 14, 2026.

Use Cases

• Replicate statistical associations between prenatal PM2.5 exposure and externalizing/internalizing behavior scores.
• Analyze effect modification by child sex, neighborhood opportunity, and maternal depressive symptoms.
• Investigate trimester-specific pollutant effects on behavioral outcomes.
• Conduct meta-analyses on prenatal air pollution and child development using U.S. cohort data.

Strengths

• Analysis based on a large cohort of 8,370 mother-child dyads.
• Covers three key air pollutants (NO2, PM2.5, O3) estimated from residential addresses.
• Includes covariate-adjusted models and evaluates multiple potential effect modifiers.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (58.6 KB), suggesting it contains summary results rather than raw individual-level data.

Provenance

Source

Environmental influences on Child Health Outcomes (ECHO) Cohort

Collection Method

Covariate-adjusted linear mixed-effects models applied to cohort data.

Freshness

Last updated 2026-05-14 15:04:15; freshness should be verified.

Geography

United States (28 ECHO Cohort sites)