Literature DB >> 33845895

Prevalence of mental health problems and associated factors among front-line public health workers during the COVID-19 pandemic in China: an effort-reward imbalance model-informed study.

Jing Zhang1, Yijing Wang1, Jingdong Xu2, Hua You3, Yan Li4, Yuan Liang5, Shan Li6, Lina Ma2, Joseph Tak-Fai Lau7, Yuantao Hao1,8, Shilin Chen1, Jing Zeng1, Jinghua Li9,10, Jing Gu11,12.   

Abstract

BACKGROUND: Poor mental health status and associated risk factors of public health workers have been overlooked during the COVID-19 pandemic. This study used the effort-reward imbalance model to investigate the association between work-stress characteristics (effort, over-commitment, reward) and mental health problems (anxiety and depression) among front-line public health workers during the COVID-19 pandemic in China.
METHODS: A total of 4850 valid online questionnaires were collected through a self- constructed sociodemographic questionnaire, the adapted ERI questionnaire, the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item General Anxiety Disorder Scale (GAD-7). Hierarchical logistic regression analysis was conducted to investigate the association between ERI factors and mental health problems (i.e., depression and anxiety), with reward treated as a potential moderator in such associations.
RESULTS: The data showed that effort and over-commitment were positively associated with depression and anxiety, while reward was negatively associated with depression and anxiety. Development and job acceptance were the two dimensions of reward buffered the harmful effect of effort/over-commitment on depression and anxiety, whereas esteem was non-significant.
CONCLUSIONS: This study confirmed the harmful effects of effort and over-commitment on mental health among public health workers during the COVID-19 pandemic in China. Such effects could be alleviated through an appropriate reward system, especially the development and job acceptance dimensions of such a system. These findings highlight the importance of establishing an emergency reward system, comprising reasonable work-allocation mechanism, bonuses and honorary titles, a continuous education system and better career-development opportunities.

Entities:  

Keywords:  Anxiety; Depression; Effort–reward imbalance; Public health worker; Reward

Year:  2021        PMID: 33845895     DOI: 10.1186/s40359-021-00563-0

Source DB:  PubMed          Journal:  BMC Psychol        ISSN: 2050-7283


  1 in total

Review 1.  Strengths-based approach for mental health recovery.

Authors:  Huiting Xie
Journal:  Iran J Psychiatry Behav Sci       Date:  2013
  1 in total
  4 in total

1.  Relationships among thriving at work, organisational commitment and job satisfaction among Chinese front-line primary public health workers during COVID-19 pandemic: a structural equation model analysis.

Authors:  Mo Yi; Di Jiang; Jingjing Wang; Zeyi Zhang; Yuanmin Jia; Baosheng Zhao; Lei Guo; Ou Chen
Journal:  BMJ Open       Date:  2022-06-07       Impact factor: 3.006

2.  A nationwide cross-sectional study of workers' mental health during the COVID-19 pandemic: Impact of changes in working conditions, financial hardships, psychological detachment from work and work-family interface.

Authors:  Mario Alberto Trógolo; Luciana Sofía Moretti; Leonardo Adrián Medrano
Journal:  BMC Psychol       Date:  2022-03-18

3.  Psychological stress self-help interventions for healthcare workers in the context of COVID-19 in China: A randomized controlled trial protocol.

Authors:  Rui Luo; Pengyue Guo; Menglin Shang; Yuqi Cai; Jinying Huang; Yiling He; Phoenix K H Mo; Anise M S Wu; Roman Dong Xu; Jinghua Li; Joseph T F Lau; Jing Gu
Journal:  Internet Interv       Date:  2022-04-20

4.  Working Conditions and Wellbeing among Prison Nurses during the COVID-19 Pandemic in Comparison to Community Nurses.

Authors:  Megan Guardiano; Paul Boy; Grigoriy Shapirshteyn; Lisa Dobrozdravic; Liwei Chen; Haiou Yang; Wendie Robbins; Jian Li
Journal:  Int J Environ Res Public Health       Date:  2022-09-02       Impact factor: 4.614

  4 in total

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