Network analysis of comorbid depression and anxiety and their associations with quality of life among clinicians in public hospitals during the late stage of the COVID-19 pandemic in China

Jin, Yu; Sha, Sha; Tian, Tongtong; Wang, Qian; Liang, Sixiang; Wang, Zhe; Liu, Yinqi; Cheung, Teris; Su, Zhaohui; Ng, Chee H.; Xiang, Yu‐Tao

doi:10.1016/j.jad.2022.06.051

Cited by 34 publications

(28 citation statements)

References 77 publications

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“…The results of the node expected influence centrality of nodes showed that the expected influence value of anxiety symptom A5 (restlessness) was the highest in the network, indicating that it plays an important role in depression, anxiety and perceived stress network. In addition, A2 (uncontrollable worry) and A4 (trouble relaxing) were also the main central symptoms, consistent with the results of Chinese doctors in the post epidemic period ( 45 ). On the one hand, due to the different physique of individuals, their symptoms and recovery speed after the infection may differ from one another.…”

Section: Discussionsupporting

confidence: 84%

“…The centrality of the bridge expected influence of the node showed that A6 (irritability) was a bridge symptom in the network, consistent with the results of studies conducted in Chinese doctors and nurse students during the epidemic ( 17 , 45 ), but inconsistent with the results of study in general college students. In the later stage of the epidemic, the bridge symptom of college students was D8 (motor) ( 15 ).…”

Section: Discussioncontrasting

confidence: 40%

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Adjusting intervention strategies for mental health of COVID-19 patients: A network analysis based on a survey in Omicron-infected patients

Luo

Zhan

et al. 2022

Front. Public Health

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BackgroundThe COVID-19 pandemic had a major impact on people's mental health. As the SAS-Cov-2 evolves to become less virulent, the number of asymptomatic patients increases. It remains unclear if the mild symptoms are associated with mild perceived stress and mental illness, and the interventions to improve the mental health of the patients are rarely reported.MethodsThis cross-sectional study investigated the level of depression, anxiety and perceived stress of 1,305 COVID-19 patients who received treatment in the Fangcang shelter hospitals in Shanghai, China. Network analysis was used to explore the relationship among depression, anxiety and perceived stress.ResultsThe prevalence of depression, anxiety and perceived stress in the patients with Omicron infection were 9.03, 4.60, and 17.03%, respectively, lower than the prevalence reported during the initial outbreak of COVID-19. “Restlessness (A5),” “Uncontrollable worry (A2),” “Trouble relaxing (A4)” and “Fatigue (D4)” had the highest expected influence values. “Irritability (A6)” and “Uncontrollable (S1)” were bridge symptoms in the network. Comparative analysis of the network identified differences in the network structures between symptomatic and asymptomatic patients.ConclusionThis study investigated the prevalence of depression, anxiety and perceived stress and the correlation among them in Omicron-infected patients in Fangcang shelter hospital, in Shanghai, China. The core symptoms identified in the study provide insight into targeted clinical prevention and intervention of mental health in non-severe Omicron-infected patients.

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Section: Discussionsupporting

confidence: 84%

Section: Discussioncontrasting

confidence: 40%

Adjusting intervention strategies for mental health of COVID-19 patients: A network analysis based on a survey in Omicron-infected patients

Luo

Zhan

et al. 2022

Front. Public Health

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“…Although the nationwide lockdown was ended in China when we conducted this study, nurses might decrease outdoor activities due to the busy work and the social distancing policy, which led to the high centrality of psychomotor symptoms. Similar findings were reported in Chinese clinicians during the late stage of the pandemic, suggesting the psychomotor symptoms might be the hallmark of the depression and anxiety symptoms of healthcare workers in this period, which warranted further attention (17). GAD5 (Restlessness) was also the bridge symptom in this population, which implied that targeting restlessness…”

Section: Discussionsupporting

confidence: 79%

“…Center and bridge symptoms are vital in triggering and maintaining the disorder network, which might serve as potential intervention targets. Increasing studies applied the network approach to assess anxiety and depression among the general population, college students, adolescents, and clinicians during the COVID-19 pandemic, which documented both common and unique depression-anxiety network across different populations (13)(14)(15)(16)(17). However, as far as we know, no previous study described anxiety and depression symptoms among nurses via the network model.…”

Section: Introductionmentioning

confidence: 99%

A network analysis of anxiety and depression symptoms among Chinese nurses in the late stage of the COVID-19 pandemic

Peng

Chen

Liang

et al. 2022

Front. Public Health

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BackgroundNurses are at high risk for depression and anxiety symptoms after the outbreak of the COVID-19 pandemic. We aimed to assess the network structure of anxiety and depression symptoms among Chinese nurses in the late stage of this pandemic.MethodA total of 6,183 nurses were recruited across China from Oct 2020 to Apr 2021 through snowball sampling. We used Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder scale-7 (GAD-7) to assess depression and anxiety, respectively. We used the Ising model to estimate the network. The index “expected influence” and “bridge expected influence” were applied to determine the central symptoms and bridge symptoms of the anxiety-depression network. We tested the stability and accuracy of the network via the case-dropping procedure and non-parametric bootstrapping procedure.ResultThe network had excellent stability and accuracy. Central symptoms included “restlessness”, “trouble relaxing”, “sad mood”, and “uncontrollable worry”. “Restlessness”, “nervous”, and “suicidal thoughts” served as bridge symptoms.ConclusionRestlessness emerged as the strongest central and bridge symptom in the anxiety-depression network of nurses. Intervention on depression and anxiety symptoms in nurses should prioritize this symptom.

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“…Cross-sectional data collection began on 5 May 2022 and ended on 10 June 2022. Like previous studies [ 15 , 16 ], respondents were provided with an online survey link that was administered via the WeChat-imbedded Questionnaire Star program. Participants could terminate involvement at any time if they chose.…”

Section: Methodsmentioning

confidence: 99%

The Moderating Role of Family Resilience on the Relationship between COVID-19-Related Psychological Distress and Mental Health among Caregivers of Individuals with Eating Disorders in Post-Pandemic China

Wei

Guo

et al. 2023

IJERPH

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COVID-19 has amplified long-standing emotional distress for vulnerable families. While abundant research highlights the importance of resilience under adverse circumstances, little has been undertaken to understand its effectiveness in helping caregivers of individuals with eating disorders (ED) navigate pandemic-related challenges. This paper presents findings of a cross-sectional study investigating the effects of COVID-19-related life disruptions (COLD) and COVID-19-related psychological distress (CORPD) on caregivers’ depression, anxiety and stress, as well as the moderation role of individual resilience (IR) and family resilience (FR) during the post-pandemic period in China. A total of 201 caregivers of individuals experiencing ED participated in our online survey from May 2022 to June 2022. The association between pandemic-related stressors (i.e., COLD and CORPD) and mental health conditions were confirmed. FR moderated the relationship between CORPD and mental health outcomes, while IR independently contributed to low emotional distress. We call for intervention programs strengthening caregivers’ FR and IR, which might benefit both patients and caregivers’ well-being in the post-pandemic period.

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Network analysis of comorbid depression and anxiety and their associations with quality of life among clinicians in public hospitals during the late stage of the COVID-19 pandemic in China

Cited by 34 publications

References 77 publications

Adjusting intervention strategies for mental health of COVID-19 patients: A network analysis based on a survey in Omicron-infected patients

Adjusting intervention strategies for mental health of COVID-19 patients: A network analysis based on a survey in Omicron-infected patients

A network analysis of anxiety and depression symptoms among Chinese nurses in the late stage of the COVID-19 pandemic

The Moderating Role of Family Resilience on the Relationship between COVID-19-Related Psychological Distress and Mental Health among Caregivers of Individuals with Eating Disorders in Post-Pandemic China

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