Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Characteristics of hospitalized patients with depression and their relationship with the surrounding environment

A study in a class 3A hospital in Shanghai

Bibliographic Data

ID21620757
AuthorsTianhui Tao (0000-0003-4056-9472, Tongji University), Yishao Shi (0000-0002-0048-6958, Tongji University, corresponding author), Qianqian Yang (0000-0002-1378-7418, Tongji University), Shanzhu Li (Tongji University), Xiatong Guo (Tongji University), Xiaowen Pei (Tongji University)
Year2023
Volume42
Issue7
Pages5910-5921
Publication date2023-03-01
Open AccessYes
TypeARTICLE
VenueCurrent Psychology (JOURNAL)
Journal identifiersISSN: 1046-1310 • E-ISSN: 1936-4733
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12144-021-01940-z
OpenAlexW3168663606
LanguageEN
Citations received1
References cited26

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

Cartography · Coronary heart disease · Entertainment · Environmental health · Geography · Sociology · Demography · Health disparities and outcomes · Medicine · Psychology · Urban Green Space and Health · Urban Transport and Accessibility

  • Investigation of Epistemic Equity in Urban Green Space and Mental Health Research

    Open Access•Qin Huang, Kun Liu et al.•International Journal of…•2026

  • Projections of Global Mortality and Burden of Disease from 2002 to 2030

    Open Access•Clay Mathers, Colin D Mathers et al.•PLoS Medicine•2006

  • Prevalence and Distribution of Major Depressive Disorder in African Americans, Caribbean Blacks, and Non-Hispanic Whites

    David R Williams, Hector M González et al.•Archives of General Psychiatry•2007

  • Effects of urban planning indicators on urban heat island

    Open Access•Pingying Lin, Stephen Siu Yu Lau et al.•Landscape and Urban Planning•2017

  • Epidemiology of Major Depressive Disorder

    Deborah S Hasin, Renee D Goodwin et al.•Archives of General Psychiatry•2005

  • A kernel density estimation method for networks, its computational method and a GIS‐based tool

    Atsuyuki Okabe, Toshiaki Satoh et al.•International Journal of…•2009

  • Depression as a disease of modernity

    Open Access•Brandon H Hidaka•Journal of Affective Disorders•2012

  • Trends in depression prevalence in the USA from 2005 to 2015

    Open Access•Andrea H Weinberger, Misato Gbedemah et al.•Psychological Medicine•2018

  • Exercise as a treatment for depression

    Open Access•Siri Kvam, Catrine Lykkedrang Kleppe et al.•Journal of Affective Disorders•2016

  • Why is depression more common among women than among men?

    Open Access•Christine Kuehner•The Lancet Psychiatry•2017

  • Resting-state connectivity biomarkers define neurophysiological subtypes of depression

    Open Access•Andrew T Drysdale, Logan Grosenick et al.•Nature Medicine•2017

  • Associations among neighborhood poverty, perceived neighborhood environment, and depressed mood are mediated by physical activity, perceived individual control, and loneliness

    Open Access•Sarah D Kowitt, A E Aiello et al.•Health & Place•2020

  • Park Proximity and Use for Physical Activity among Urban Residents

    Open Access•Stephanie L Orstad, Kristin L Szuhany et al.•International Journal of…•2020

  • Prevalence of Depression by Race/Ethnicity

    Stephanie A Riolo, Tuan Anh Nguyen et al.•American Journal of Public Health•2005

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae