Inequities in urban greenspace have been identified, though patterns by race and socioeconomic status vary across US settings. We estimated the magnitude of the relationship between a broad mixture of neighborhood-level factors and residential greenspace using weighted quantile sum (WQS) regression, and compared predictive models of greenspace using only neighborhood-level, only individual-level, or multi-level predictors. Greenspace measures included the Normalized Difference Vegetation Index (NDVI), tree canopy, and proximity of the nearest park, for residential locations in Shelby County, Tennessee of children in the CANDLE cohort. Neighborhood measures include socioeconomic and education resources, as well as racial composition and racial residential segregation. In this sample of 1012 mother–child dyads, neighborhood factors were associated with higher NDVI and tree canopy (0.021 unit higher NDVI [95% CI: 0.014, 0.028] per quintile increase in WQS index); homeownership rate, proximity of and enrollment at early childhood education centers, and racial composition, were highly weighted in the WQS index. In models constrained in the opposite direction (0.028 unit lower NDVI [95% CI: − 0.036, − 0.020]), high school graduation rate and teacher experience were highly weighted. In prediction models, adding individual-level predictors to the suite of neighborhood characteristics did not meaningfully improve prediction accuracy for greenspace measures. Our findings highlight disparities in greenspace for families by neighborhood socioeconomic and early education factors, and by race, suggesting several neighborhood indicators for consideration both as potential confounders in studies of greenspace and pediatric health as well as in the development of policies and programs to improve equity in greenspace access.

尽管美国不同地区的种族和社会经济地位的模式有所不同，但城市绿地的不平等已经得到确认。我们使用加权分位数和（WQS）回归估计了社区级因素与住宅绿地的广泛混合之间的关系大小，并比较了仅使用社区级、仅个人级或多级预测因子的绿地预测模型。绿地指标包括田纳西州谢尔比县 CANDLE 队列儿童居住地的归一化植被指数 (NDVI)、树冠和最近公园的邻近度。邻里措施包括社会经济和教育资源，以及种族构成和种族居住隔离。在这个由 1012 个母子二人组成的样本中，邻里因素与较高的 NDVI 和树冠相关（WQS 指数每增加五分位数，NDVI 就会高出 0.021 个单位 [95% CI：0.014，0.028]）；住房拥有率、幼儿教育中心的邻近性和入学率以及种族构成在 WQS 指数中占有很高的权重。在相反方向约束的模型中（NDVI 低 0.028 个单位 [95% CI：− 0.036，− 0.020]），高中毕业率和教师经验受到高度重视。在预测模型中，将个人级别的预测变量添加到邻里特征套件中并不能显着提高绿地测量的预测准确性。我们的研究结果强调了家庭绿地空间因社区社会经济和早期教育因素以及种族而存在的差异，建议考虑几个社区指标，作为绿地和儿科健康研究以及制定改善公平的政策和计划的潜在混杂因素在绿地通道中。