Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9583
Title: A comparison of psychiatric symptoms between mental health professionals with and without post-infection sequelae of COVID-19
Authors: Chen, Pan 
Sun, He-Li 
Li, De-Hui 
Feng, Yuan 
Su, Zhaohui 
Cheung, Teris 
Dr. CUI Xiling, Celine 
Ungvari, Gabor S. 
Jackson, Todd 
An, Feng-Rong 
Xiang, Yu-Tao 
Issue Date: 2024
Source: Psychiatry Research, 2024, vol. 331, article no. 115631.
Journal: Psychiatry Research 
Abstract: Post-infection sequelae of COVID-19 (PISC) have raised public health concerns. However, it is not clear whether infected mental health professionals (MHPs) with PISC have experienced more psychiatric symptoms than MHPs without PISC do. This study examined differences in the prevalence of self-reported depression, anxiety, insomnia and suicidality as well as the network structures of these symptoms between these two groups. Participants completed questionnaire measures of psychiatric symptoms and demographics. Expected influence was used to measure centrality of symptoms and network comparison tests were adopted to compare differences in the two network models. The sample comprised 2,596 participants without PISC and 2,573 matched participants with PISC. MHPs with PISC had comparatively higher symptom levels related to depression (55.2% vs. 23.5 %), anxiety (32.0% vs. 14.9 %), insomnia (43.3% vs. 17.3 %), and suicidality (9.6% vs. 5.3 %). PHQ4 (“Fatigue”), PHQ6 (“Guilt”), and GAD2 (“Uncontrollable Worrying”) were the most central symptoms in the “without PISC” network model. Conversely, GAD3 (“Worry too much”), GAD5 (“Restlessness”), and GAD4 (“Trouble relaxing”) were more central in the “with PISC” network model. In sum, MHPs with PISC experienced comparatively more psychiatric symptoms and related disturbances. Network results provide foundations for the expectation that MHPs with PISC may benefit from interventions that address anxiety-related symptoms, while those without PISC may benefit from interventions targeting depression-related symptoms.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/9583
ISSN: 1872-7123
0165-1781
DOI: https://doi.org/10.1016/j.psychres.2023.115631
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