Figure - available from: Frontiers in Psychiatry
This content is subject to copyright.
Distribution of different levels of VTS among inpatients.

Distribution of different levels of VTS among inpatients.

Source publication
Article
Full-text available
Background: Far from being a clinical disease, the COVID-19 pandemic has become a threatening social event worldwide exerting long-term impacts on human beings. Objective: This study was designed to determine if and to what extent psychiatric inpatients during the remission phase of the pandemic suffered from vicarious traumatization. Method: Total...

Similar publications

Article
Full-text available
Objective The COVID-19 pandemic has had a devastating impact on higher education, with the closure of student campuses. The aim of this study was to examine changes and prevalence of mental health problems, suicidal ideation and suicidal behaviour, and their associations with COVID-19-related restrictions. Design, setting and participants As part...

Citations

... A total score equal to or above 35 can be regarded as positive PTSD symptoms. This instrument has been proven valid and reliable among Chinese COVID-19 patients (37). In this study, the Cronbach's alpha of the instrument was 0.965. ...
Article
Full-text available
Background Perceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis. Methods A cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma. Results Among the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20. Conclusion The study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD.
... VT was commonly detected during the COVID-19 pandemic and should not be ignored due to the growing and mounting volume of information that both official and low scientific value (12). It was reported that 80.83% psychiatric inpatients and 100% psychotherapists experienced VT symptoms (13). It is noteworthy that VT was mainly originated from sympathy for traumatic events and had also been a common psychological response during the COVID-19 pandemic, and VT played a crucial role in the development of general psychological distress (14). ...
... Vicarious traumatization was measured by the Impact of Event Scale-Revised (IES-R), and was repeatedly assessed in three-wave surveys. This scale was originally developed by Horowitz, Wilner (21) and was widely used to evaluate posttraumatic symptoms (13) and VT. The IES-R in current studies is composed of three dimensions (e.g., intrusion, avoidance, and hyperarousal) with 22 items, and it is a Likert five-point scale ranging from 0 (no) to 4 (always). ...
... The three-wave surveys indicated that the prevalence of VT attached to COVID-19 in Chinese college students ranged from 9.9 to 2.6%, which revealed a significant effect of time on the change of VT. The severity and incidence of VT in Chinese college students in our study were significantly lower than that of in other populations (e.g., medical personnel, psychiatric inpatients, and the general public) (9,13,30). First, this notion may be because college students in Hubei province were under quarantine at home during the first-wave survey and had to spend considerable time and effort on online learning. Hence, they had limited time to gather information related to traumatic materials of COVID-19 through the internet. ...
Article
Full-text available
Objectives This longitudinal study aimed to identify the trajectories and the predictors among sociodemographic and psychosocial variables at baseline of vicarious traumatization (VT) in Chinese college students during the COVID-19 pandemic. Materials and methods A total of 544 Chinese college students enrolled in a public University in central China, majored in Clinical Medicine, Nursing, Musicology, Physics, etc., participated in this longitudinal study lasting 19 months. Three-wave (wave 1: February 2020; wave 2: November 2020; wave 3: September 2021) of data were collected. Resourcefulness Scale and the 10-item Kessler scale (K10) were only assessed in the first-wave survey, and the Event Scale-Revised (IES-R) was repeatedly measured in all three-wave surveys. A link to an online survey created by Questionnaire Star (https://www.wjx.cn/) was sent to the students to collect data. The Growth mixture modeling (GMM) and multiple logistic regression were used to identify the trajectories of VT and predictors for the distinct trajectories. Results The incidence of VT at each wave varied from 9.9% at wave 1, 4.0% at wave 2, to 2.6% at wave 3. Three trajectories of VT were the medium-level escalating group (3.0%), medium-level maintaining group (32.3%), and the low-level descending group (64.7%). Seniors (OR = 1.575, 95% CI: 1.059–2.341; OR = 1.161, 95% CI: 1.043–1.293) and those with poor mental health status (OR = 1.101, 95% CI: 1.030–1.177; OR = 1.083, 95% CI: 1.060–1.106) at baseline were more likely to be classified into the medium-level escalating group and medium-level maintaining group, respectively. Additionally, females (OR = 3.601, 95% CI: 1.311–9.887) were more likely to be included in the medium-level escalating group. Conclusion Targeted psychological interventions are urgently needed for students vulnerable to VT. Further studies with more representative samples, longer period of follow-up, and predictors based on scientific theoretical framework, are needed to update the findings.
... A total score equal to or above 35 can be regarded as positive PTSD symptoms. This instrument has been proven valid and reliable among COVID-19 patients (37). In this study, the Cronbach's alpha of the instrument was 0.965. ...
Preprint
Full-text available
Background Perceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis. Methods A cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma. Results Among the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale(CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥20. Conclusion The study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD.
... A total score of equal or above 35 can be regarded as positive PTSD symptoms. This instrument has been proved valid and reliable among COVID-19 patients (Zheng et al., 2021). In this study, the Cronbach's alpha of the instrument was 0.963. ...
Article
Full-text available
Background In the global pandemic of the coronavirus disease 2019 (COVID-19), depression and post-traumatic stress disorder (PTSD) have commonly occurred among COVID-19 patients, whose experiences of infection and subsequent treatment might develop negative consequences on their mental well-being even after recovery. Despite the general recognition of efficacy of mindfulness-based interventions in reducing psychological distress among various populations, there were insufficient studies on the relationship between mindfulness and mental health among individuals who have recovered from COVID-19. Objective The current study aims to identify the prevalence of common mental health challenges among recovered COVID-19 patients in Jianghan District, Wuhan, China and to explore the potential mechanism through which mindfulness alleviate depression and PTSD. Methods A cross-sectional survey on mental health was conducted among a convenience sample of adults recovered from COVID-19 in Jianghan District, Wuhan, China. The study participants completed questionnaires under the assistance of trained investigators. The questionnaire included Chinese version of Five Facets of Mindfulness Questionnaire-Short Form (FFMQ-SF), Generalized Anxiety Disorder Questionnaire (GAD-7), Resilience Style Questionnaire (RSQ), Impact of Events Scale-Revised (IES-R), and Patient Health Questionnaire (PHQ-9) to measure mindfulness, anxiety, resilience, PTSD, and depression respectively. Structural equation modeling was used to explore the relationship between mindfulness and mental health outcomes of this population. Results 1541 respondents (654 [42.4 %] men and 887 [57.6 %] women) completed the questionnaire between June 10 and July 25, 2021, of whom 36.2 % and 27.1 % had mild and severe levels of depressive and anxiety symptoms respectively, and 15.2 % was indicated with PTSD. The average score of mindfulness of the study participants was (3.100 ± 0.387), and that of resilience was (3.560 ± 0.877). The structural equation model fit the data well, demonstrating that mindfulness was negatively associated with depressive symptoms directly (β = −0.031, P = 0.021) or indirectly through the mediation effect of resilience (β = −0.019, P = 0.009) and anxiety symptoms (β = −0.208, P < 0.001), and was negatively associated with PTSD through the mediation effect of anxiety symptoms (β = −0.142, P < 0.001). Conclusion Individuals who have recovered from COVID-19 commonly experienced psychological distress. Mindfulness is associated with alleviation of depressive and PTSD symptoms directly or indirectly. Interventions based on mindfulness are suggested to improve the mental well-being of this population.