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Can neighborhoods protect residents from mental distress during the Covid-19 pandemic? Evidence from Wuhan

Dados Bibliográficos

ID18947663
AutoresJia Miao (0000-0001-8791-7302), Donglin Zeng (0000-0003-0843-9280), Zhilei Shi (0009-0006-6071-9801)
Ano2021
Volume53
Fascículo1
Páginas1-26
Data de publicação2021-01-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoChinese Sociological Review (JOURNAL)
Identificadores do periódicoISSN: 2162-0555 • E-ISSN: 2162-0563
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21620555.2020.1820860
OpenAlexW3088346232
IdiomaEN
Citações recebidas52
Referências citadas50

Neighborhoods have begun to play an increasingly prominent role in shaping mental health during the coronavirus disease 2019 (COVID-19) pandemic because residents are spending more time at home and in their immediate neighborhoods. Using data collected from 3,031 urban residents during the COVID-19 lockdown of Wuhan, China’s earliest epicenter, this study investigates the relationship between neighborhoods’ social infrastructure and residents’ mental distress. Results of structural equation modeling estimation reveal that services provided by urban residents’ committees (cheng shi ju wei hui) and volunteer groups significantly decrease the adverse impact of the COVID-19 outbreak on residents’ mental health in a Chinese context, and social cohesion is one of the mechanisms underpinning this influence. Residents’ committees and volunteer groups are found to increase their support when neighborhoods are facing an escalated level of COVID-19 risk. The residents who receive more support from their neighborhood organizations perceive a higher level of social cohesion and experience less mental distress. The findings suggest that mobilizing neighborhoods’ organizational resources and fostering social cohesion are crucial strategies to minimizing residents’ mental distress during COVID-19 pandemic. © 2020 Taylor & Francis Group, LLC

China · Disease · Distress · Geography · Mental distress · Mental health · Pandemic · Political science · Psychiatry · Social distance · Social isolation · Sociology · Clinical Psychology · COVID-19 and Mental Health · Health disparities and outcomes · Homelessness and Social Issues · Medicine · Psychology

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Obras citantes distintas52
Citações por ano10,4
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 52
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