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Examining the link between housing characteristics and individual mental health within the context of socio-spatial inequality in China.

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Title: Examining the link between housing characteristics and individual mental health within the context of socio-spatial inequality in China.
Authors: Liang Z; Department of Sociology, Zhejiang University, Hangzhou, 310058, China., Ren W; Department of Sociology, School of Humanities, Southeast University, Nanjing, 211189, China; Research Center of Medical Sociology, Southeast University, Nanjing, 211189, China; Department of Sociology, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: wantingr@umich.edu.
Source: Social science & medicine (1982) [Soc Sci Med] 2025 Oct; Vol. 382, pp. 118337. Date of Electronic Publication: 2025 Jun 26.
Publication Type: Journal Article
Language: English
Journal Info: Publisher: Pergamon Country of Publication: England NLM ID: 8303205 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5347 (Electronic) Linking ISSN: 02779536 NLM ISO Abbreviation: Soc Sci Med Subsets: MEDLINE
Imprint Name(s): Original Publication: Oxford ; New York : Pergamon, c1982-
MeSH Terms: Housing*/statistics & numerical data , Housing*/standards , Housing*/economics , Mental Health*/statistics & numerical data, Humans ; China/epidemiology ; Male ; Female ; Adult ; Socioeconomic Factors ; Middle Aged ; Depression/epidemiology ; Neighborhood Characteristics/statistics & numerical data ; Residence Characteristics/statistics & numerical data
Abstract: Housing is not only a fundamental necessity but also a critical investment that significantly impacts mental health. This study investigates the relationship between residential and financial housing attributes and depressive symptoms, with a focus on the moderating role of socio-spatial factors, particularly housing inequality. Using data from the China Family Panel Studies (CFPS) and applying hierarchical linear modeling, the analysis compares the explanatory power of residential attributes (i.e., space, condition, and neighborhood environment) and financial attributes (i.e., tenure, quantity, wealth, and affordability) in relation to mental health outcomes. The results indicate that residential attributes-such as the quality and environment of the living space-are more strongly and consistently associated with depressive symptoms than financial attributes. Additionally, housing inequality is found to be linked to higher levels of depression, diminishing the mental health benefits of favorable individual housing, especially in regions with greater inequality. In these areas, individuals with more affordable homes and larger housing spaces are particularly vulnerable to the psychological effects of housing inequality, suggesting that socio-spatial dynamics significantly influence the housing-mental health relationship. These findings underscore the need for policies that not only address the physical and financial dimensions of housing but also tackle the broader structural inequalities that affect residents' well-being.
(Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Contributed Indexing: Keywords: Financial attributes; Housing; Housing inequality; Mental health; Residential attributes
Entry Date(s): Date Created: 20250701 Date Completed: 20250915 Latest Revision: 20250915
Update Code: 20250916
DOI: 10.1016/j.socscimed.2025.118337
PMID: 40592023
Database: MEDLINE
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  Data: Examining the link between housing characteristics and individual mental health within the context of socio-spatial inequality in China.
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  Data: <searchLink fieldCode="AU" term="%22Liang+Z%22">Liang Z</searchLink>; Department of Sociology, Zhejiang University, Hangzhou, 310058, China.<br /><searchLink fieldCode="AU" term="%22Ren+W%22">Ren W</searchLink>; Department of Sociology, School of Humanities, Southeast University, Nanjing, 211189, China; Research Center of Medical Sociology, Southeast University, Nanjing, 211189, China; Department of Sociology, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: wantingr@umich.edu.
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  Data: <searchLink fieldCode="MM" term="%22Housing%22">Housing*</searchLink>/<searchLink fieldCode="MM" term="%22Housing+statistics+%26+numerical+data%22">statistics & numerical data</searchLink> <br /><searchLink fieldCode="MM" term="%22Housing%22">Housing*</searchLink>/<searchLink fieldCode="MM" term="%22Housing+standards%22">standards</searchLink> <br /><searchLink fieldCode="MM" term="%22Housing%22">Housing*</searchLink>/<searchLink fieldCode="MM" term="%22Housing+economics%22">economics</searchLink> <br /><searchLink fieldCode="MM" term="%22Mental+Health%22">Mental Health*</searchLink>/<searchLink fieldCode="MM" term="%22Mental+Health+statistics+%26+numerical+data%22">statistics & numerical data</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22China%22">China</searchLink>/<searchLink fieldCode="MH" term="%22China+epidemiology%22">epidemiology</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Adult%22">Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Socioeconomic+Factors%22">Socioeconomic Factors</searchLink> ; <searchLink fieldCode="MH" term="%22Middle+Aged%22">Middle Aged</searchLink> ; <searchLink fieldCode="MH" term="%22Depression%22">Depression</searchLink>/<searchLink fieldCode="MH" term="%22Depression+epidemiology%22">epidemiology</searchLink> ; <searchLink fieldCode="MH" term="%22Neighborhood+Characteristics%22">Neighborhood Characteristics</searchLink>/<searchLink fieldCode="MH" term="%22Neighborhood+Characteristics+statistics+%26+numerical+data%22">statistics & numerical data</searchLink> ; <searchLink fieldCode="MH" term="%22Residence+Characteristics%22">Residence Characteristics</searchLink>/<searchLink fieldCode="MH" term="%22Residence+Characteristics+statistics+%26+numerical+data%22">statistics & numerical data</searchLink>
– Name: Abstract
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  Data: Housing is not only a fundamental necessity but also a critical investment that significantly impacts mental health. This study investigates the relationship between residential and financial housing attributes and depressive symptoms, with a focus on the moderating role of socio-spatial factors, particularly housing inequality. Using data from the China Family Panel Studies (CFPS) and applying hierarchical linear modeling, the analysis compares the explanatory power of residential attributes (i.e., space, condition, and neighborhood environment) and financial attributes (i.e., tenure, quantity, wealth, and affordability) in relation to mental health outcomes. The results indicate that residential attributes-such as the quality and environment of the living space-are more strongly and consistently associated with depressive symptoms than financial attributes. Additionally, housing inequality is found to be linked to higher levels of depression, diminishing the mental health benefits of favorable individual housing, especially in regions with greater inequality. In these areas, individuals with more affordable homes and larger housing spaces are particularly vulnerable to the psychological effects of housing inequality, suggesting that socio-spatial dynamics significantly influence the housing-mental health relationship. These findings underscore the need for policies that not only address the physical and financial dimensions of housing but also tackle the broader structural inequalities that affect residents' well-being.<br /> (Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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  Data: <i>Keywords: </i>Financial attributes; Housing; Housing inequality; Mental health; Residential attributes
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  Data: 10.1016/j.socscimed.2025.118337
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.socscimed.2025.118337
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 118337
    Subjects:
      – SubjectFull: Humans
        Type: general
      – SubjectFull: China epidemiology
        Type: general
      – SubjectFull: Male
        Type: general
      – SubjectFull: Female
        Type: general
      – SubjectFull: Adult
        Type: general
      – SubjectFull: Socioeconomic Factors
        Type: general
      – SubjectFull: Middle Aged
        Type: general
      – SubjectFull: Depression epidemiology
        Type: general
      – SubjectFull: Neighborhood Characteristics statistics & numerical data
        Type: general
      – SubjectFull: Residence Characteristics statistics & numerical data
        Type: general
      – SubjectFull: Housing statistics & numerical data
        Type: general
      – SubjectFull: Housing standards
        Type: general
      – SubjectFull: Housing economics
        Type: general
      – SubjectFull: Mental Health statistics & numerical data
        Type: general
    Titles:
      – TitleFull: Examining the link between housing characteristics and individual mental health within the context of socio-spatial inequality in China.
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      – PersonEntity:
          Name:
            NameFull: Liang Z
      – PersonEntity:
          Name:
            NameFull: Ren W
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2025 Oct
              Type: published
              Y: 2025
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              Value: 382
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            – TitleFull: Social science & medicine (1982)
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