Correlation between early-life exposure to PM<sub>2.5</sub> and risk of autism spectrum disorder among school-aged children

ZHAN Xiaoling; CHEN Yujing; OU Xiaoxuan; WANG Xin; LI Xiuhong; LIN Lizi; JING Jin

doi:10.16835/j.cnki.1000-9817.2023.02.008

Volume 44 Issue 2

Feb. 2023

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2023 > 44(2): 195-199

ZHAN Xiaoling, CHEN Yujing, OU Xiaoxuan, WANG Xin, LI Xiuhong, LIN Lizi, JING Jin. Correlation between early-life exposure to PM2.5 and risk of autism spectrum disorder among school-aged children[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(2): 195-199. doi: 10.16835/j.cnki.1000-9817.2023.02.008

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ZHAN Xiaoling, CHEN Yujing, OU Xiaoxuan, WANG Xin, LI Xiuhong, LIN Lizi, JING Jin. Correlation between early-life exposure to PM_2.5 and risk of autism spectrum disorder among school-aged children[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(2): 195-199. doi: 10.16835/j.cnki.1000-9817.2023.02.008

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Correlation between early-life exposure to PM_2.5 and risk of autism spectrum disorder among school-aged children

doi: 10.16835/j.cnki.1000-9817.2023.02.008

1.
Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou(510080)

Received Date: 2022-05-26
Rev Recd Date: 2022-09-13

Available Online: 2023-03-02

Publish Date: 2023-02-25

Abstract

Abstract

Objective To investigate the associations between early-life exposure to particulate matter with an aerodynamic diameter less than 2.5 μm (PM_2.5) and the risk of autism spectrum disorder (ASD) among school-aged children. Methods A total of 165 children with ASD and 165 age-and gender-matched typical development (TD) children were recruited. Children's basic information were obtained via questionnaires, and the severity of ASD symptoms was assessed with Social Responsiveness Scale (SRS). Early-life PM_2.5 exposure (preconception, entire pregnancy, and the first two years after birth) were extracted from the Tracking Air Pollution in China (TAP) datasets. Conditional Logistic regression and generalized linear model were used to evaluate the associations of early-life exposure to PM_2.5 with the risk and the ASD severity symptoms, respectively. Results The PM_2.5 exposure of ASD group during preconception[(55.08±9.34)μg/m³], entire pregnancy[(50.44±8.71)μg/m³], the first year after birth [(45.04±8.25)μg/m³] and the second year after birth [(40.19±7.12)μg/m³] were significant higher than those in TD children [(47.66±7.63, 44.19±7.16, 38.95±6.07, 35.76±5.65)μg/m³](t=7.94, 7.13, 7.70, 6.32, P < 0.05). After adjusting for potential confounding, each increase of 1 μg/m³ in PM_2.5 was associated with higher risk of ASD during preconception (OR=1.21, 95%CI=1.13-1.29), entire pregnancy(OR=1.18, 95%CI=1.11-1.26), the first year after birth (OR=1.30, 95%CI=1.18-1.43) and the second year after birth (OR=1.29, 95%CI=1.17-1.42). No similar results were observed regarding the analyses of SRS total and sub-scale scores(P>0.05). Conclusion Early-life exposure to PM_2.5 is relate to the risk of ASD, these findings indicated that more attention should be paid to ambient PM pollution in the early-life prevention and control of ASD.
- Life cycle stages,
- Particulate matter,
- Autistic disorder,
- Regression analysis,
- Child

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