Environmental research · 2025
Association of prenatal exposure to air pollution with autism spectrum disorder: A population-based retrospective cohort study in China.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Li Nan, Ye He, Zhu Hangjie, Liang Mengyuan, Wang Kunyi, Zhao Yang, Liu Liya
Аннотация
BACKGROUND & AIMS: Prenatal exposure to ambient air pollution has been associated with increased autism spectrum disorder (ASD) risk, but the role of specific pollutants and critical exposure windows remains uncertain. This study assessed the association between prenatal exposure to six major air pollutants and ASD risk in a large birth cohort in Ningbo, China.
METHODS: This retrospective cohort study analyzed 98 081 mother-infant pairs from the Ningbo MATernity-Child LinkEd databaSe (MATCHLESS). Infants born between August 1, 2017, and December 31, 2018, were prospectively followed using electronic health records until a clinical ASD diagnosis was recorded or until December 31, 2024, whichever came first. Daily average exposure levels of PM2.5, PM10, ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) during pregnancy were estimated using an integrated approach combining the China High Air Pollution (CHAP) datasets with air quality monitoring data. Logistic regression models assessed pollutant-specific associations with ASD risk, and distributed lag nonlinear models (DLNM) identified gestational windows of heightened susceptibility.
RESULTS: Among the cohort, 494 (0.5 %) children were diagnosed with ASD by age 6. Mid-to-late pregnancy exposure to NO2, and CO, and late-pregnancy exposure to PM2.5, and PM10, were significantly associated with increased ASD risk. Notably, PM2.5 (late: OR = 1.112), PM10 (late: OR = 1.110), NO2 (mid: OR = 1.284; late: OR = 1.138), and CO (mid: OR = 1.284; late: OR = 1.154) were consistently associated with increased ASD risk. DLNM analyses confirmed cumulative exposure associations aligned with logistic regression results.
CONCLUSION: Exposure to PM2.5, PM10, NO2, and CO during the mid-to-late pregnancy increased the risk of children being diagnosed with ASD. These results underscore the importance of targeted air quality control policies during pregnancy to reduce ASD risk.
TRIAL REGISTRATION NUMBER: NCT06422130.
METHODS: This retrospective cohort study analyzed 98 081 mother-infant pairs from the Ningbo MATernity-Child LinkEd databaSe (MATCHLESS). Infants born between August 1, 2017, and December 31, 2018, were prospectively followed using electronic health records until a clinical ASD diagnosis was recorded or until December 31, 2024, whichever came first. Daily average exposure levels of PM2.5, PM10, ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) during pregnancy were estimated using an integrated approach combining the China High Air Pollution (CHAP) datasets with air quality monitoring data. Logistic regression models assessed pollutant-specific associations with ASD risk, and distributed lag nonlinear models (DLNM) identified gestational windows of heightened susceptibility.
RESULTS: Among the cohort, 494 (0.5 %) children were diagnosed with ASD by age 6. Mid-to-late pregnancy exposure to NO2, and CO, and late-pregnancy exposure to PM2.5, and PM10, were significantly associated with increased ASD risk. Notably, PM2.5 (late: OR = 1.112), PM10 (late: OR = 1.110), NO2 (mid: OR = 1.284; late: OR = 1.138), and CO (mid: OR = 1.284; late: OR = 1.154) were consistently associated with increased ASD risk. DLNM analyses confirmed cumulative exposure associations aligned with logistic regression results.
CONCLUSION: Exposure to PM2.5, PM10, NO2, and CO during the mid-to-late pregnancy increased the risk of children being diagnosed with ASD. These results underscore the importance of targeted air quality control policies during pregnancy to reduce ASD risk.
TRIAL REGISTRATION NUMBER: NCT06422130.