PDF(Pubmed)
Abstract：
UNASSIGNED: Maternal nutrient intake may moderate associations between environmental exposures and children\'s neurodevelopmental outcomes, but few studies have assessed joint effects. We aimed to evaluate whether prenatal nutrient intake influences the association between air pollutants and autism-related trait scores.
UNASSIGNED: We included 126 participants from the EARLI (Early Autism Risk Longitudinal Investigation, 2009-2012) cohort, which followed US pregnant mothers who previously had a child with autism. Bayesian kernel machine regression and traditional regression models were used to examine joint associations of prenatal nutrient intake (vitamins D, B12, and B6; folate, choline, and betaine; and total omega 3 and 6 polyunsaturated fatty acids, reported via food frequency questionnaire), air pollutant exposure (particulate matter <2.5 μm [PM2.5], nitrogen dioxide [NO2], and ozone [O3], estimated at the address level), and children\'s autism-related traits (measured by the Social Responsiveness Scale [SRS] at 36 months).
UNASSIGNED: Most participants had nutrient intakes and air pollutant exposures that met US standards. Bayesian kernel machine regression mixture models and traditional regression models provided little evidence of individual or joint associations of nutrients and air pollutants with SRS scores or of an association between the overall mixture and SRS scores.
UNASSIGNED: In this cohort with a high familial likelihood of autism, we did not observe evidence of joint associations between air pollution exposures and nutrient intake with autism-related traits. Future work should examine the use of these methods in larger, more diverse samples, as our results may have been influenced by familial liability and/or relatively high nutrient intakes and low air pollutant exposures.
UNASSIGNED: We included 126 participants from the EARLI (Early Autism Risk Longitudinal Investigation, 2009-2012) cohort, which followed US pregnant mothers who previously had a child with autism. Bayesian kernel machine regression and traditional regression models were used to examine joint associations of prenatal nutrient intake (vitamins D, B12, and B6; folate, choline, and betaine; and total omega 3 and 6 polyunsaturated fatty acids, reported via food frequency questionnaire), air pollutant exposure (particulate matter <2.5 μm [PM2.5], nitrogen dioxide [NO2], and ozone [O3], estimated at the address level), and children\'s autism-related traits (measured by the Social Responsiveness Scale [SRS] at 36 months).
UNASSIGNED: Most participants had nutrient intakes and air pollutant exposures that met US standards. Bayesian kernel machine regression mixture models and traditional regression models provided little evidence of individual or joint associations of nutrients and air pollutants with SRS scores or of an association between the overall mixture and SRS scores.
UNASSIGNED: In this cohort with a high familial likelihood of autism, we did not observe evidence of joint associations between air pollution exposures and nutrient intake with autism-related traits. Future work should examine the use of these methods in larger, more diverse samples, as our results may have been influenced by familial liability and/or relatively high nutrient intakes and low air pollutant exposures.
摘要：
■母亲的营养摄入可能会缓和环境暴露与儿童神经发育结果之间的关联，但很少有研究评估关节效应。我们旨在评估产前营养摄入是否会影响空气污染物与自闭症相关性状评分之间的关联。
■我们包括来自EARLI（早期自闭症风险纵向调查，2009-2012)队列，紧随其后的是美国怀孕的母亲，她们以前有一个自闭症孩子。使用贝叶斯核机回归和传统回归模型来检查产前营养素摄入量（维生素D，B12和B6；叶酸，胆碱，和甜菜碱；和总欧米茄3和6多不饱和脂肪酸，通过食物频率调查表报告)，空气污染物暴露(颗粒物<2.5μm[PM2.5]，二氧化氮[NO2],和臭氧[O3]，在地址级别估计)，和儿童自闭症相关特征(通过36个月时的社会反应量表[SRS]测量)。
■大多数参与者的营养素摄入量和空气污染物暴露量均符合美国标准。贝叶斯核机回归混合模型和传统回归模型几乎没有提供养分和空气污染物与SRS得分之间的个体或联合关联或总体混合物与SRS得分之间关联的证据。
■在这个家族性自闭症可能性很高的队列中，我们没有观察到空气污染暴露和营养素摄入与自闭症相关特征之间存在联合关联的证据.未来的工作应该更广泛地研究这些方法的使用，更多样化的样本，因为我们的结果可能受到家庭责任和/或相对较高的营养素摄入量和较低的空气污染物暴露的影响。
■我们包括来自EARLI（早期自闭症风险纵向调查，2009-2012)队列，紧随其后的是美国怀孕的母亲，她们以前有一个自闭症孩子。使用贝叶斯核机回归和传统回归模型来检查产前营养素摄入量（维生素D，B12和B6；叶酸，胆碱，和甜菜碱；和总欧米茄3和6多不饱和脂肪酸，通过食物频率调查表报告)，空气污染物暴露(颗粒物<2.5μm[PM2.5]，二氧化氮[NO2],和臭氧[O3]，在地址级别估计)，和儿童自闭症相关特征(通过36个月时的社会反应量表[SRS]测量)。
■大多数参与者的营养素摄入量和空气污染物暴露量均符合美国标准。贝叶斯核机回归混合模型和传统回归模型几乎没有提供养分和空气污染物与SRS得分之间的个体或联合关联或总体混合物与SRS得分之间关联的证据。
■在这个家族性自闭症可能性很高的队列中，我们没有观察到空气污染暴露和营养素摄入与自闭症相关特征之间存在联合关联的证据.未来的工作应该更广泛地研究这些方法的使用，更多样化的样本，因为我们的结果可能受到家庭责任和/或相对较高的营养素摄入量和较低的空气污染物暴露的影响。
