
@article{ref1,
title="Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China",
journal="Translational psychiatry",
year="2024",
author="Xiang, Yu-Tao and An, Feng-Rong and Ng, Chee H. and Cui, Xi-Ling and Ungvari, Gabor S. and Zhang, Ling and Cheung, Teris and Su, Zhaohui and Feng, Yuan and Sun, He-Li and Bai, Wei and Chen, Pan",
volume="14",
number="1",
pages="e227-e227",
abstract="Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included &quot;Distress caused by the sleep difficulties&quot; (ISI7) (EI = 1.34), &quot;Interference with daytime functioning&quot; (ISI5) (EI = 1.08), and &quot;Sleep dissatisfaction&quot; (ISI4) (EI = 0.74). &quot;Fatigue&quot; (PHQ4) (Bridge EI = 1.98), &quot;Distress caused by sleep difficulties&quot; (ISI7) (Bridge EI = 1.71), and &quot;Motor Disturbances&quot; (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of &quot;Suicidality&quot; (SU) and &quot;Guilt&quot; (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by &quot;Suicidality&quot; (SU) - &quot;Sad mood&quot; (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.<p /> <p>Language: en</p>",
language="en",
issn="2158-3188",
doi="10.1038/s41398-024-02918-8",
url="http://dx.doi.org/10.1038/s41398-024-02918-8"
}