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The World Health Organization predicted that depression will become the second greatest disease burden after coronary heart disease by 2020. However, there are few quantitative studies on the spatial relationship between environmental factors and characteristics of patients with depression. In this paper, mathematical statistics, geographical information system and regression methods were used to conduct a quantitative analysis of the individual attributes of hospitalized patients with depression in a Class 3A hospital in Shanghai from 2013 to 2019 and to explore the relationship between individual attributes and circumjacent environmental factors. The results show that (1) the total number of patients with depression has increased in recent years, and the proportion of women was increased 2.5-fold compared with that of men. The risk was significantly increased in middle-aged and young adults aged 45–69 years compared with other age groups. The average hospitalization time was 20–30 days. The lower the level of education, the greater the risk of depression. (2) Within a certain spatial range, the closer to city parks and coffee shops, the lower the distribution density of depressed patients. (3) Medical insurance for patients with depression needs to implement a “people-oriented” differentiation policy. (4) Expanding urban public space, improving urban leisure and entertainment infrastructure, and introducing coffee shops into large-scale residential communities are three important strategies to prevent and treat depression.

current psychology

Characteristics of hospitalized patients with depression and their relationship with the surrounding environment: A study in a class 3A hospital in Shanghai