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Is Covid-19 related workload related to Chinese social workers’ mental health? A moderated mediation model of compassion burnout and emotional regulation

Datos Bibliográficos

ID9972861
AutoresChaoxin Jiang (0000-0002-8848-4809, East China Normal University), Hao Song (0009-0003-6158-0408, Nanjing University), Shan Jiang (0000-0001-7766-222X, Zhejiang University, autor de correspondencia)
Año2024
Volumen67
Número6
Páginas1392-1406
Fecha de publicación2024-08-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Social Work (JOURNAL)
Identificadores de la revistaISSN: 0020-8728 • E-ISSN: 1461-7234
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/00208728241269801
OpenAlexW4402094346
IdiomaEN
Citas recibidas3
Referencias citadas70

COVID-19-related workload is a significant determinant of social worker mental health, with limited exploration of the underlying mechanisms. This study investigates the mediating role of compassion burnout and the moderating effect of emotional regulation among 1023 Chinese social workers. Compassion burnout partially mediates the COVID-19 workload–depression relationship, while emotional regulation moderates this link and the impact of compassion burnout on depression. Notably, social workers with higher emotional regulation exhibit reduced susceptibility. This research advances our understanding of the COVID-19 workload’s impact on mental health and offers policy and organizational-level recommendations for safeguarding Chinese social workers’ well-being

Burnout · Compassion · Coronavirus disease 2019 (COVID-19 · Emotional exhaustion · Management · Mediation · Mental health · Moderated mediation · Political science · Psychiatry · Workload · Clinical Psychology · COVID-19 and Mental Health · Employment and Welfare Studies · Healthcare professionals’ stress and burnout · Medicine · Psychology · Social Psychology · Social Work

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Obras citantes distintas3
Citas por año3
Intervalo de citas2025 - 2026 (2)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 3
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