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◆ EBioMedicine2026-09-05

Residential early-life air pollution exposure and oculomotor markers of cognitive workload in children: a prospective birth cohort study.

Kenneth Vanbrabant, Eleni Renaers, Liesa Engelen, Brigitte Reimann, Hanne Croons, Thessa Van Pee, Maartje Vangeneugden, Nick Giesberts, Marcel Ameloot, Tim S Nawrot, Michelle Plusquin

一句话结论 · In one sentence

Using objective eye-tracking outcomes within a prospective birth cohort, our findings suggest that residential air pollution exposure is associated with subtle oculomotor differences in school-aged children, particularly patterns consistent with increased cognitive workload. Emotion-related attention-bias findings were exploratory after correction for multiple testing.

原始摘要(英文原文)· Original abstract
BACKGROUND: Growing evidence indicates that early brain development is particularly vulnerable to environmental influences, with early-life air pollution exposure linked to attention problems, anxiety, and depression. In this study, we examined associations of early-life air pollution exposure with eye-tracking-derived measures of cognitive workload and emotion-related attentional bias in school-aged children, while also assessing whether recent exposure was associated with these outcomes. METHODS: This prospective cohort study was conducted within the ongoing ENVIRONAGE birth cohort, which has enrolled over 2400 mother-child pairs. The present study included 196 children aged 9-11 years who had reached the eligible age for follow-up and completed eye-tracking paradigms assessing cognitive workload and subconscious attention bias between September 2021 and November 2023. Residential black carbon (BC), nitrogen dioxide (NO2), and fine particulate matter (PM2.5) exposures were estimated using a high-resolution spatiotemporal modelling framework based on fixed-site monitoring data, land-use/land-cover information, and dispersion modelling. Associations between predefined exposure windows and eye-tracking outcomes were first assessed using multiple linear regression models, followed by Bayesian kernel machine regression distributed lag models (BKMR-DLM) to evaluate multi-pollutant and multi-window exposure-response patterns. FINDINGS: Higher recent residential air pollution exposure was most consistently associated with saccadic outcomes. After correction for multiple testing, an interquartile range (IQR) increase in last-month BC and NO2 exposure was associated with lower saccade velocity (BC: -10.97°/s; 95% CI -18.67, -3.26; NO2: -10.81°/s; 95% CI -18.13, -3.49), and last-month NO2 and PM2.5 exposure were associated with fewer saccades. Early-life exposure windows also showed associations mainly with saccade velocity, including first-trimester BC and PM2.5, whole-pregnancy PM2.5, and first-1000-days BC exposure. Associations with pupil diameter, fixation count, urinary BC, and emotion-related attention-bias outcomes did not remain statistically significant after correction for multiple testing. INTERPRETATION: Using objective eye-tracking outcomes within a prospective birth cohort, our findings suggest that residential air pollution exposure is associated with subtle oculomotor differences in school-aged children, particularly patterns consistent with increased cognitive workload. Emotion-related attention-bias findings were exploratory after correction for multiple testing. FUNDING: Special Research Fund (BOF), Flemish Scientific Research Fund (FWO), Methusalem, and Horizon Europe project MISTRAL.
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Residential early-life air pollution exposure and oculomotor markers of cognitive workload in children: a prospective birth cohort study. — 科研速览 Science Skim