Abstract

Highlights

  • Highly suggestive evidence links PM2.5 and lead exposure to ADHD.
  • Highly suggestive evidence links childhood fluoride exposure to cognitive deficit.
  • Suggestive evidence links pregnancy O3 to ASD, childhood lead to lower IQ, and low magnesium levels to ADHD children.
  • REML estimator exhibited greater robustness compared to the widely used DL estimator.

Background

Exposure to environmental pollutants during foetal and childhood development has been associated with neurodevelopmental disorders; however, existing evidence remains fragmented and lacks comprehensive credibility assessments.

Methods

PubMed, Embase, PsycINFO, and the Cochrane Database of Systematic Reviews were systematically searched from database inception through January 2025, supplemented by reference list searches. Eligible studies were meta-analyses of observational research examining the associations between environmental pollutant exposure and adverse neurodevelopmental outcomes, with quality assessment performed using the AMSTAR 2 tool. Summary effect estimates were re-analysed using random-effects models, accompanied by heterogeneity statistics, 95?% prediction intervals, and evaluations of small-study effects and excess significance bias. Evidence was graded according to established criteria as follows: convincing, highly suggestive, suggestive, weak, or not significant. Reporting adhered to PRISMA guidelines, and the study protocol was pre-registered with PROSPERO (CRD42022339292).

ResultsA total of 45 studies, comprising 256 unique meta-analyses, were included in the umbrella review. Of these, 88 meta-analyses demonstrated statistical significance; however, 62?% of these exhibited small-study effects and/or excess significance bias. According to the quantitative grading criteria, highly suggestive evidence was identified for the association between PM2.5 exposure and attention deficit hyperactivity disorder (ADHD) (odds ratio [OR] 1.82 [1.52, 2.18]), as well as for lead (Pb) exposure (OR 1.96 [1.57, 2.46]) and ADHD. Childhood fluoride exposure was also graded as highly suggestive evidence for cognitive deficit (OR 3.80 [2.42, 5.97]). Suggestive evidence included the associations between pregnancy O3 exposure and autism spectrum disorder (ASD), childhood lead exposure with decreased intelligence quotient (IQ), decreased blood magnesium (Mg) levels in children with ADHD, and first-trimester pregnancy exposure to PM2.5 and ASD. Sensitivity analyses indicated that results derived from the Restricted Likelihood Maximum (REML) estimator demonstrated greater robustness compared to the widely used DerSimonian and Laird (DL) estimator, reflecting a 13?% increase in significant associations.

Conclusions and relevance

Neurodevelopmental disorders associated with environmental pollutants from industrial and human activities pose a critical public health challenge. Future research necessitates cautious analytical strategies and enhanced methodological transparency to improve the credibility of findings.

Graphical Abstract

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Introduction

The proliferation of chemicals resulting from human activities and the rapid industrialization has profoundly impacted the global environment. Hazardous and toxic substances are introduced into the environment at a rate that exceeds the ability of natural processes to diffuse, dilute, decompose, recycle, or store them harmlessly. This leads to significant environmental pollution and poses serious threats to human health and well-being [1], [2]. The World Health Organization estimates that direct chemical pollution of air, soil, water, and occupational settings accounts for approximately 2 million fatalities per year [3]. Therefore, a rigorous and comprehensive assessment of the health risks associated with these pollutants is essential for establishing effective regulations and implementing policies that promote safer alternatives.

Exposure to the vast array of modern chemicals and their mixtures can cause both acute and chronic toxicity [2]. Compared to adults, foetuses and children are more sensitive and susceptible to these pollutants due to their actively developing brains and immature detoxification systems [4], [5]. Environmental pollutant exposure may disrupt normal development processes from the embryonic stage through adolescence, resulting in various adverse neurodevelopmental outcomes, including attention deficit hyperactivity disorder (ADHD) [6], [7], [8], autism spectrum disorder (ASD) [9], [10], [11], dyslexia [12], dyscalculia [12], intellectual impairments [13], [14], [15], psychomotor impairments [16], [17], [18], etc. Developmental disabilities currently constitute a significant health challenge, affecting over 316.8 million children globally [19]. However, substantial gaps remain in our understanding of the etiology of these diseases, particularly regarding the identification of specific environmental chemicals that confer risk.

Early-life neurodevelopmental deficits exist along a continuum, ranging from inconsequential to mild, moderate, and severe, potentially progressing to neurodevelopmental disorders (NDDs) and other functional impairments [20], [21]. The effects of environmental pollutant exposure can vary significantly over time and across different stages of neurodevelopment [21], [22]. An increasing number of meta-analyses have explored the impact of prenatal and early childhood pollutant exposures on neurodevelopment, including air pollutants [7], [12], [23], [24], inorganic substances (particularly heavy metals) [10], [11], [25], [26], and synthetic organic compounds like persistent organic pollutants (POPs) [9], [27], [28], [29]. However, the assessment of various types of bias (e.g., publication bias, excess significance bias, reporting bias, and residual confounding bias) in these meta-analyses is often insufficient, potentially leading to overestimated efficacy or false significance [30], [31]. Furthermore, these meta-analyses remain fragmented and lack credibility assessments, with inconsistent evidence complicating the ability to form a comprehensive profile due to variations in exposure windows, pollutant types, adverse neurodevelopmental outcomes, and analysis strategies. As a result, this hinders the translation of evidence on environmental pollutant exposure and neurodevelopment into policy decisions (e.g., pollution control, enhanced pollutant monitoring) and health promotion strategies (e.g., neurodevelopmental assessments of highly exposed populations and their offspring), limiting researchers in this field from identifying new research priorities.

To address these gaps, we conducted an umbrella review to systematically collect and organize the existing evidence and provide a comprehensive profile [32]. This study aimed to assess potential biases in the meta-analyses on environmental pollutant exposure and adverse neurodevelopmental outcomes, grade the evidence using an established framework [33], [34], [35], elucidate variations in evidence across different analytical modalities, and consolidate the most robust evidence available on this topic.

Section snippets

Methods

We employed an umbrella review methodology to provide a comprehensive overview of the environmental epidemiological evidence for NDDs and to highlight the consistency and contradictions within the existing evidence base. This approach enabled us to synthesize all available meta-analyses of observational studies on the subject. The umbrella review was conducted accordance with the PRISMA 2020 guidelines [36] (Supplementary Methods Section 1.1) and was prospectively registered in PROSPERO …

Results

The systematic search yielded 2079 records. After removing duplicates and excluding irrelevant studies based on titles and abstracts (1971 records), a manual search identified 12 additional records. In total, 120 full-text articles were assessed for eligibility. Of these, 44 articles were excluded for reasons such as the absence of meta-analyses or exclusive focus on non-human studies (Supplementary results, Section 2.1), and 31 articles were excluded due to ]the availability of larger …

Discussion

This umbrella review synthesizes 256 independent meta-analyses that rigorously examine the associations between exposure to various environmental pollutants and adverse neurodevelopmental outcomes across critical developmental windows, including preconception, pregnancy, early childhood, and childhood. The evidence was categorized based on exposure periods as follows: 1) Pregnancy: exposure to NO2, PM2.5, PM10, Pb, BPA, and PFOA was associated with an increased risk of ADHD; exposure to NO2, PM …

Conclusions

This umbrella review synthesizes the strongest evidence linking air pollutants, particularly PM2.5 and O3, and inorganic pollutants, especially Pb, Mg, and fluoride, to adverse neurodevelopmental outcomes. Moreover, evidence grading suggests that the credibility of the neurodevelopmental effects of synthetic organic pollutants is generally weaker. Policymakers and public health officials should prioritize controlling air and heavy metal pollutants, with particular attention to protecting …

Environmental Implication

Exposure to environmental pollutants during foetal and childhood development is linked to neurodevelopmental disorders, but these associations remain fragmented and lack credibility assessments. This umbrella review finds generally low-quality evidence, with 62?% of significant meta-analyses showing small-study effects and/or excess significance bias. Highly suggestive evidence links PM2.5 and lead exposure to attention deficit hyperactivity disorder, and childhood fluoride exposure to

Data statement

All data included in this umbrella review were extracted from publicly available systematic reviews and meta-analyses.

Declaration of Competing Interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Yang Li reports financial support was provided by Beijing Municipal Science and Technology Commission. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This research was supported by grants from Beijing Municipal Science and Technology Commission (Z181100001518005 to Li Yang) National Natural Science Foundation of China. The funders of this study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all of the study data and the corresponding authors had the final responsibility for the decision to submit for publication.

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