Anxiety symptoms and burnout among Chinese medical staff of intensive care unit: the moderating effect of social support

Author:

Zhang Hui,Ye ZhiHong,Tang Leiwen,Zou Ping,Du Chunxue,Shao Jing,Wang Xiyi,Chen Dandan,Qiao Guojing,Mu Shao Yu

Abstract

Abstract Background Social support can be a critical resource to help medical staff cope with stressful events; however, the moderating effect of social support on the relationship between burnout and anxiety symptoms has not yet been explored. Methods The final sample was comprised of 514 intensive care unit physicians and nurses in this cross-sectional study. Questionnaires were used to collect data. A moderated model was used to test the effect of social support. Results The moderating effect of social support was found to be significant (b = − 0.06, p = 0.04, 95%CI [− 0.12, − 0.01]). The Johnson-Neyman technique indicated that when social support scores were above 4.26 among intensive care unit medical staff, burnout was not related to anxiety symptoms. Conclusions This is the first study to test the moderating effect of social support on the relationship between burnout and anxiety symptoms among intensive care unit staff.

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health

Reference49 articles.

1. Maslach C, Jackson SE. The measurement of experienced burnout. J Organ Behav. 1981;2(2):99–113.

2. World Health Organisation, 2019. Burn-out an “occupational phenomenon”: international classification of Diseases. https://wwwwhoint/mental_health/evidence/burn-out/en/ Accessed 10 Feb 2020.

3. Maslach C, Leiter MP. Understanding the burnout experience: recent research and its implications for psychiatry. World Psychiatry. 2016;15(2):103–11.

4. Jha AK, Iliff A, Chaoui AA, Defossez S, Bombaugh M, Miller Y. A crisis in health care: a call to action on physician burnout. Waltham: Massachusetts Medical Society MHaHA, Harvard TH Chan School of Public Health, Harvard Global Health Institute; 2019.

5. Bakker AB, Demerouti E, Sanz-Vergel AI. Burnout and work engagement: the JD–R approach. Ann Rev Organ Psychol Organ Behav. 2014;1(1):389–411.

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