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Congruent relations between perceived neighbourhood social cohesion and depressive symptoms among older European adults: an East-West analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F19%3A00012852" target="_blank" >RIV/75010330:_____/19:00012852 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11510/19:10398421

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0277953619304484?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0277953619304484?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.socscimed.2019.112454" target="_blank" >10.1016/j.socscimed.2019.112454</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Congruent relations between perceived neighbourhood social cohesion and depressive symptoms among older European adults: an East-West analysis

  • Original language description

    Rationale: Two gaps in the literature arise on the relationship between social cohesion and depressive disorders. Firstly, there is a lack of studies comparing countries with diverse communal bonds and population-level differences in depression. Secondly, most work on explanatory mechanisms has overwhelmingly focussed on social network and social support pathways. Objectives: We compared the prospective association between perceived neighbourhood social cohesion and depressive symptoms among older adults in England, the Czech Republic, Poland and Russia; and examined whether psychological and health behavioural pathways mediated this association. Methods: Harmonized data on 26,081 adults from the English Longitudinal Study of Ageing (ELSA), and the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) studies were analysed. Prospective associations between perceived neighbourhood social cohesion at baseline and depressive symptoms at follow-up were assessed using multivariable negative binomial regression. The psychological (through control of life, and control at home) and health behavioural (through smoking and drinking) pathways were tested using path analysis. Results: Low cohesion predicted a higher number of depressive symptoms at follow-up among English (b = 0.106, p = 0.001), Czech (b = 0.203, p < 0.001), Polish (0.115, p < 0.001) and Russian adults (b = 0.087, p < 0.001). Indirect effects via psychological mechanisms were strong and explained 64% (Poland), 82% (Russia), 84% (England) and 95% (Czech Republic) of the total indirect effects from low cohesion to elevated symptoms in these populations. Indirect effects via health behaviours were much weaker by comparison. Conclusions: Prospective associations between low social cohesion and increased depressive symptoms were largely congruent among older adults from England and three Central and Eastern European countries. These associations operated via a psychological, but not a health behavioural, pathway among ageing adults living in diverse parts of Europe.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Social Science and Medicine

  • ISSN

    0277-9536

  • e-ISSN

  • Volume of the periodical

    237

  • Issue of the periodical within the volume

    September

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    112454

  • UT code for WoS article

    000485852200006

  • EID of the result in the Scopus database

    2-s2.0-85069942228