Guojun Xie1, Wendy Li2, Brett McDermott2. 1. Department of Psychiatry, The Third People's Hospital of Foshan City, Foshan, China. 2. Division of Tropical Health and Medicine, James Cook University, Townsville, Australia.
Abstract
OBJECTIVE: Building upon the tripartite model of anxiety and depression, the current study aims to examine mechanisms of comorbidity between anxiety and depression using the ProQOL (Professional Quality of Life; including the constructs of burnout, secondary traumatic stress, and compassion satisfaction) in a sample of Chinese health-care clinicians. METHOD: A randomized cross-sectional survey was distributed to 1620 participants who were recruited from eight state-owned hospitals in a city in southern China between January and May 2017. A total of 1562 questionnaires were returned (a response rate of 96.4%). After the cases with more than 10% missing variables and multivariate outliers being removed, 1423 valid cases remained. Multiple mediator models were used for mediation analysis that was conducted using the PROCESS v3.1 macro for SPSS. RESULTS: The indirect effects of anxiety upon depression through burnout (a1 = . 601 (95% confidence interval (CI): .552, .650), p < .001; b1 = .137 (95% CI: .101, .174), p < .001) and compassion satisfaction (a3= -.297 (95% CI: -.352, -.241), p < .001; b3 = -.069 (95% CI: -.100, -.039), p < .001) were significant, while there was no evidence that anxiety influenced depression by changing secondary traumatic stress. The indirect effects of depression upon anxiety through secondary traumatic stress (a2 = . 535 (95% CI: .483, .588), p < .001); b2 = .154 (95% CI: .120, .188), p < .001) were both positive and significant, while there was no evidence that depression influenced anxiety by changing burnout and compassion satisfaction. CONCLUSIONS: In the current sample, burnout and compassion satisfaction mediated the effect of anxiety upon depression and secondary traumatic stress mediated the effect of depression upon anxiety. The findings of the current study offer support to the tripartite model.
OBJECTIVE: Building upon the tripartite model of anxiety and depression, the current study aims to examine mechanisms of comorbidity between anxiety and depression using the ProQOL (Professional Quality of Life; including the constructs of burnout, secondary traumatic stress, and compassion satisfaction) in a sample of Chinese health-care clinicians. METHOD: A randomized cross-sectional survey was distributed to 1620 participants who were recruited from eight state-owned hospitals in a city in southern China between January and May 2017. A total of 1562 questionnaires were returned (a response rate of 96.4%). After the cases with more than 10% missing variables and multivariate outliers being removed, 1423 valid cases remained. Multiple mediator models were used for mediation analysis that was conducted using the PROCESS v3.1 macro for SPSS. RESULTS: The indirect effects of anxiety upon depression through burnout (a1 = . 601 (95% confidence interval (CI): .552, .650), p < .001; b1 = .137 (95% CI: .101, .174), p < .001) and compassion satisfaction (a3= -.297 (95% CI: -.352, -.241), p < .001; b3 = -.069 (95% CI: -.100, -.039), p < .001) were significant, while there was no evidence that anxiety influenced depression by changing secondary traumatic stress. The indirect effects of depression upon anxiety through secondary traumatic stress (a2 = . 535 (95% CI: .483, .588), p < .001); b2 = .154 (95% CI: .120, .188), p < .001) were both positive and significant, while there was no evidence that depression influenced anxiety by changing burnout and compassion satisfaction. CONCLUSIONS: In the current sample, burnout and compassion satisfaction mediated the effect of anxiety upon depression and secondary traumatic stress mediated the effect of depression upon anxiety. The findings of the current study offer support to the tripartite model.
Entities:
Keywords:
anxiety; burnout; compassion satisfaction; depression; secondary traumatic stress; the tripartite model
Authors: Małgorzata Szcześniak; Adam Falewicz; Klaudia Strochalska; Radosław Rybarski Journal: Int J Environ Res Public Health Date: 2022-05-17 Impact factor: 4.614