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Inverse relationship between urban green space and childhood autism in California elementary school districts

机译:加州小学区城市绿地与儿童自闭症的逆向关系

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Green space has a variety of health benefits. However, little is known about its impact on autism, the fastest-growing neurodevelopmental disorder in children. This study examined the relationship between green space and childhood autism prevalence. Autism count data in 2010 were obtained for 543 of similar to 560 public elementary school districts in California. Multiple types of green space were measured in each school district, including percentages of forest, grassland, and average tree canopy and near-road tree canopy. Their associations with autism prevalence were evaluated with negative binomial regression models and spatial regression models. We observed inverse associations between several green space metrics and autism prevalence in school districts with high road density, the highly urbanized areas, but not in others. According to negative binomial regression models, adjusted rate ratios (RR) for the relationships in these school districts between autism prevalence and green space metrics in 10% increments were as follows: for forest, RR = 0.90 (95% confidence interval [CI]: 0.84-0.95); for grassland, RR = 0.90 (95% CI: 0.83-0.97); for average tree canopy, RR = 0.89 (95% CI: 0.83-0.95), and for near-road tree canopy, RR = 0.81 (95% CI: 0.73-0.91). These results suggest that increases of 10% in forest, grassland, average tree canopy and near-road tree canopy are associated with a decrease in autism prevalence of 10%, 10% 11% and 19%, respectively. In contrast, urban land and road density were positively associated with autism prevalence. The results of spatial regression models were consistent with those obtained by negative binomial models, except for grassland. Our study suggests that green space, specifically tree cover in areas with high road density, may influence autism prevalence in elementary school children beneficially. Further studies are needed to investigate a potential causal relationship, and the major mechanisms that may underlie the beneficial associations with green space, such as buffering traffic-related air pollution and noise.
机译:绿地具有多种健康益处。然而,关于它对自闭症的影响知之甚少,自闭症是儿童中发展最快的神经发育障碍。这项研究探讨了绿色空间与儿童自闭症患病率之间的关系。 2010年的自闭症计数数据来自加利福尼亚州560个公立小学区中的543个。每个学区都测量了多种类型的绿地,包括森林,草原,平均树冠和近路树冠的百分比。使用负二项回归模型和空间回归模型评估了他们与自闭症患病率的关系。我们观察到,在道路密度高,城市化程度高的学区中,一些绿色空间指标与自闭症患病率之间呈负相关关系,而在其他地区则没有。根据负二项式回归模型,针对这些学区中自闭症患病率与绿地度量之间的关系,以10%的增量调整的比率(RR)如下:对于森林,RR = 0.90(95%置信区间[CI]: 0.84-0.95);对于草原,RR = 0.90(95%CI:0.83-0.97);对于平均树冠,RR = 0.89(95%CI:0.83-0.95),对于近路树冠,RR = 0.81(95%CI:0.73-0.91)。这些结果表明,森林,草地,普通树冠层和近路树冠层分别增加10%与自闭症患病率分别降低10%,10%,11%和19%。相反,城市土地和道路密度与自闭症患病率呈正相关。除草地外,空间回归模型的结果与通过负二项式模型获得的结果一致。我们的研究表明,绿色空间,特别是道路密度高的地区的树木遮盖物,可能会对小学生的自闭症患病率产生有利影响。需要进行进一步的研究以调查潜在的因果关系,以及可能与绿色空间建立有益联系的主要机制,例如缓冲与交通有关的空气污染和噪音。

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