Meta-Analysis of Noise and Air Pollution Associations with ADHD

A 2026 meta-analysis by Jing Zhang synthesizes studies from CNKI, Wanfang, PubMed, Web of Science, Embase, and the Cochrane Library. It evaluates associations between environmental noise, particulate matter (PM2.5, PM10), nitrogen dioxide (NO2), and attention-deficit/hyperactivity disorder (ADHD) risk in children. The findings suggest modest associations for noise and NO2, and stronger links for PM2.5 and PM10.

Use Cases

• Evaluate the effect size of noise exposure on ADHD risk based on reported odds ratios.
• Compare associations between prenatal and childhood exposure periods for pollutants.
• Assess the robustness of findings for particulate matter using continuous and dichotomous exposure models.
• Inform public health prevention strategies based on pollutant-specific risk associations.

Strengths

• Includes systematic review registration identifiers (CRD42024593274, CRD42025632899) for transparency.
• Performs subgroup analyses, meta-regression, and sensitivity analyses to evaluate robustness.
• Reports specific odds ratios and confidence intervals for multiple pollutants (e.g., PM2.5 OR=1.32, PM10 OR=1.47).

Limitations

• The dataset is a 29.5 KB DOCX document; its tabular data structure and column definitions are unknown.
• The meta-analysis cautions that some associations, particularly for noise and NO2, are modest and should be interpreted cautiously.
• Row count is unknown, which may limit suitability assessment for quantitative reuse.

Provenance

Source

figshare

Collection Method

Systematic review and meta-analysis of studies retrieved from multiple databases.

Time Range

Studies from inception to November 2025.

Freshness

Last updated 2026-05-05 13:59:53.