Individual and Neighborhood Level Predictors of Children’s Exposure to Residential Greenspace

• DOI: 10.1007/s11524-024-00829-z
• Publication Date: 2024-03-14T17:02:03Z
• Authors: Marnie F. Hazlehurst; Anjum Hajat; Adam A. Szpiro; Pooja S. Tandon; Joel D. Kaufman; Christine T. Loftus; Nicole R. Bush; Kaja Z. LeWinn; Marion E. Hare; Sheela Sathyanara...; Catherine J. Karr
• Keywords: Pediatric; Male; Adult; Parks; Racial residential segregation; Neighborhood Characteristics; Tennessee; Weighted quantile sum regression; Childhood opportunity index; Greenspace; Recreational; Socioeconomic Factors; Residence Characteristics; Humans; Female; Environment Design; Original Article; Child; Preschool

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