Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated?

BMC Public Health. 2019 Jul 5;19(1):887. doi: 10.1186/s12889-019-7171-9.

Abstract

Background: Depression has become a severe societal problem in China. Although many studies have analyzed how environmental characteristics within neighborhoods affect depression, only a few have dealt with developing countries, and even fewer have considered built, natural, and social environments concurrently.

Methods: Based on a sample of 20,533 Chinese residents assessed in 2016, the present study examined associations between depressive symptoms and respondents' built, natural, and social environments. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D), and multilevel regression models were fitted accounting for potential covariates.

Results: Results indicated that living in neighborhoods with more green spaces and a higher population density were negatively associated with CES-D scores. Living in neighborhoods with more social capital was protective against depression. Furthermore, results showed that the social environment moderated the association between the built environment and depression.

Conclusions: Social environments moderate the relationship between the built environment and depression. As environments seem to interact with each other, we advise against relying on a single environment when examining associations with depressive symptoms.

Keywords: Built, natural, and social environments; China; Depression; Moderating effect.

MeSH terms

  • Adult
  • Built Environment / statistics & numerical data*
  • China / epidemiology
  • Depression / epidemiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multilevel Analysis
  • Residence Characteristics / statistics & numerical data*
  • Risk Factors
  • Social Environment*