SPATIAL ASPECTS OF DEPRESSION

Abstract

The article aims to determine the spatial effects on depression. This study covers the province of Adana. A simple random sampling method was applied to a randomly selected sample of 535 people in the 18+ age group. A binary logit model is used to explore spatial differences. The results show that (1) people living in densely populated areas are more likely to feel more depressed than those living in remote neighborhoods and villages; (2) depression has a more subjective spatial nature compared to objective spatial and social spatial; (3) traffic, noise and air pollution are related to depression; (4) human trust is more important than social contact in explaining depression; and (5) income inequality is not significant on depression.