Cross-sectional and longitudinal associations of park coverage, greenness exposure and neighbourhood median household income with children's depressive and anxiety symptoms.

Abstract

Internalising symptoms and disorders often emerge in childhood and are associated with negative health outcomes into adulthood. Studies have shown neighbourhood characteristics (e.g. socio-economic composition, greenspace exposure) to be associated with depression and anxiety symptoms in adults; however, research that explores these relationships longitudinally in children is lacking. This study examined cross-sectional and longitudinal associations of neighbourhood characteristics with developmental trajectories of internalising symptoms in 202 children (ages 8-12) from the Mothers' and Their Children's Health (MATCH) Study. The MATCH Study is a Los Angeles-based longitudinal observational investigation of children's health outcomes with six semi-annual assessment waves across 3 years. Latent growth curve modelling was used to examine cross-sectional and longitudinal associations between child's self-reported anxiety or depressive symptoms and their neighbourhood's park coverage, greenness exposure and median household income. All models included the following as covariates: child's age, sex, ethnicity, family household income and mother's mental health measures. Cross-sectionally, results indicated that neighbourhood median household income was negatively associated with children's depressive symptoms at baseline. Longitudinally, neighbourhood median household income was associated with steeper increases in children's depressive symptoms. Neither greenness exposure nor park coverage was associated with children's depressive or anxiety symptoms cross-sectionally or longitudinally. Childhood plays a key factor in setting the foundations for healthy mental, social, physical and cognitive growth. Our study suggests future mental health prevention programmes in youth should cater to a multilevel approach that integrates individual, familial and neighbourhood interventions and pay special attention to their neighbourhood SES levels.