scholarly journals Comorbidity Network Analysis of Depression, Anxiety and Stress During the COVID-19 Pandemic

2020 ◽  
Author(s):  
Li Kui Liang ◽  
Ren Lei ◽  
Luo Xi ◽  
Feng Zheng Zhi
Keyword(s):  
Network Analysis ◽  
Anxiety Symptom ◽  
Depression And Anxiety ◽  
Analysis Method ◽  
Stress Symptom ◽  
The Core ◽  
Sad Mood ◽  
Highly Correlated ◽  
Core Symptoms ◽  
Network Relationship

Abstract Background: Stress caused by the COVID-19 pandemic is highly correlated with depression and anxiety disorders, and there is currently a lack of understanding of the comorbidity network of these disorders. The purpose of this study is to explore the comorbidity network of depression, anxiety and stress during the COVID-19 pandemic through network analysis.Method: 887 participants are conducted a DASS 21 mental state survey across the country from February 18 to 22 in the outbreak of the COVID-19 pandemic in China. The network analysis method was used to explore the network relationship between these disorders, including the use of indicators of expected influence and bridge expected influence to explain the centrality of the network.Results: The strongest six edges were the connections between the symptoms within each group, including three depressive symptom edges initiative-anhedonia, hopeless-meaningless and worthless-meaningless, one anxiety symptom edge dyspneic-heart sick and two stress symptom edges over reactive-touchy and agitated-relax. Centrality indicators show that symptoms blue, relax, and intolerable have the strongest expected influence centrality. The results show that symptoms intolerable, sad mood and blue have the strongest bridge expected influence centrality.Conclusion: We found that symptoms blue, intolerable and relax are the core ones in the network, while dry and heartsick are less important ones. In addition, symptoms intolerable, sad mood and blue were also found to have the strongest bridge symptoms. Interventions against the core symptoms in this study will be more precise.

scholarly journals The core symptoms of bulimia nervosa, anxiety, and depression: A network analysis.

2017 ◽  
Vol 126 (3) ◽  
pp. 340-354 ◽  
Author(s):  
Cheri A. Levinson ◽  
Stephanie Zerwas ◽  
Benjamin Calebs ◽  
Kelsie Forbush ◽  
Hans Kordy ◽  
...  
Keyword(s):  
Network Analysis ◽  
Bulimia Nervosa ◽  
Anxiety And Depression ◽  
The Core ◽  
Core Symptoms

scholarly journals A network analysis of problematic smartphone use symptoms in a student sample

2021 ◽  
Vol 9 (4) ◽  
pp. 1032-1043
Author(s):  
Shunsen Huang ◽  
Xiaoxiong Lai ◽  
Ye Xue ◽  
Cai Zhang ◽  
Yun Wang
Keyword(s):  
Network Analysis ◽  
Permutation Test ◽  
Smartphone Addiction ◽  
Loss Of Control ◽  
Student Sample ◽  
Problematic Smartphone Use ◽  
The Core ◽  
Two Samples ◽  
Smartphone Use ◽  
Core Symptoms

AbstractBackground and aimsPrevious research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students.MethodsThis research investigated 26,950 grade 4 students (male = 13,271) and 11,687 grade 8 students (male = 5,739) using the smartphone addiction proneness scale (SAPS). The collected data were analyzed using a network analysis method, which can provide centrality indexes to determine the core symptoms of PSU. The two networks from the different groups were compared using a permutation test.ResultsThe results indicated that the core symptoms of students' problematic smartphone use were the loss of control and continued excessive use across the two samples.Discussion and conclusionsThese findings suggest that loss of control is a key feature of problematic smartphone use. The results also provide some evidence relevant to previous research from the perspective of network analysis and some suggestions for future treatment or prevention of students' problematic smartphone use.

scholarly journals Network analysis of depression and anxiety symptom relationships in a psychiatric sample

2016 ◽  
Vol 46 (16) ◽  
pp. 3359-3369 ◽  
Author(s):  
C. Beard ◽  
A. J. Millner ◽  
M. J. C. Forgeard ◽  
E. I. Fried ◽  
K. J. Hsu ◽  
...  
Keyword(s):  
Network Analysis ◽  
Anxiety Symptom ◽  
Mental Health Problems ◽  
Underlying Disease ◽  
Anxiety Symptoms ◽  
Depression And Anxiety ◽  
Systems Perspective ◽  
Symptoms Of Depression ◽  
Partial Hospital ◽  
Partial Hospital Program

BackgroundResearchers have studied psychological disorders extensively from a common cause perspective, in which symptoms are treated as independent indicators of an underlying disease. In contrast, the causal systems perspective seeks to understand the importance of individual symptoms and symptom-to-symptom relationships. In the current study, we used network analysis to examine the relationships between and among depression and anxiety symptoms from the causal systems perspective.MethodWe utilized data from a large psychiatric sample at admission and discharge from a partial hospital program (N = 1029, mean treatment duration = 8 days). We investigated features of the depression/anxiety network including topology, network centrality, stability of the network at admission and discharge, as well as change in the network over the course of treatment.ResultsIndividual symptoms of depression and anxiety were more related to other symptoms within each disorder than to symptoms between disorders. Sad mood and worry were among the most central symptoms in the network. The network structure was stable both at admission and between admission and discharge, although the overall strength of symptom relationships increased as symptom severity decreased over the course of treatment.ConclusionsExamining depression and anxiety symptoms as dynamic systems may provide novel insights into the maintenance of these mental health problems.

scholarly journals Network Analysis Reveals Central Symptoms of Adolescent Depression and Anxiety in Sub-Saharan Africa

2020 ◽  
Author(s):  
Tom L Osborn ◽  
Stephanie Campbell ◽  
David Ndetei ◽  
John R. Weisz
Keyword(s):  
Network Analysis ◽  
Adolescent Depression ◽  
Anxiety Symptom ◽  
Anxiety Symptoms ◽  
Sub Saharan Africa ◽  
Depression And Anxiety ◽  
Self Blame ◽  
Sub Saharan ◽  
Strength Difference ◽  
Global Strength

Adolescent depression and anxiety—which are linked with many negative life outcomes—are prevalent around the world, particularly in low-income countries such as those in Sub Saharan Africa (SSA). We used network analysis to examine the topology, stability, and centrality of depression and anxiety symptoms. We analyzed data from a large community sample (N = 2,192) of Kenyan adolescents aged 13-18, using the Patient Health Questionnaire and the Generalized Anxiety Disorder Screener. We identified the central symptoms of the depression and anxiety symptom networks, and we compared the structure and connectivity of these networks between low-symptom and elevated-symptom sub-samples. Our findings indicate the most central depression symptoms were “self-blame” and “depressed mood”, while the strongest depression symptom associations were “self-blame” ––“depressed mood” and “trouble concentrating” ––“little interest/pleasure”. Similarly, the most central anxiety symptoms were “too much worry” and “uncontrollable worry”, while strongest anxiety symptom associations were “too much worry” ––“uncontrollable worry” and “trouble relaxing” ––“restlessness”. We found a statistical difference in the network structure between low-symptom and elevated-symptom adolescents. The low-symptom sample had higher network connectivity scores for both depression (global strength difference = 0.30; low-symptom = 0.49; high-symptom = 0.19; p = .003) and anxiety symptoms (global strength difference = 1.04; low-symptom = 1.57; high-symptom = 0.53; p < .001). This is the first report that uses network analysis techniques to identify central symptoms of adolescent depression and anxiety in SSA. Our findings illustrate how network analysis may inform understanding of psychopathology within cultures and suggest promising treatment targets.

Disorder-specific alterations of tactile sensitivity in neurodevelopmental disorders

2020 ◽  
Author(s):  
Jason He ◽  
Ericka Wodka ◽  
Mark Tommerdahl ◽  
Richard Edden ◽  
Mark Mikkelsen ◽  
...  
Keyword(s):  
Clinical Symptoms ◽  
Autism Spectrum ◽  
Typically Developing ◽  
Hyperactivity Disorder ◽  
The Core ◽  
Children With Asd ◽  
Tactile Detection ◽  
Spectrum Disorders ◽  
Sensory Processes ◽  
Core Symptoms

Alterations of tactile processing have long been identified in autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). However, the extent to which these alterations are disorder-specific, rather than disorder-general, and how they relate to the core symptoms of each disorder, remains unclear. We measured and compared tactile detection, discrimination and order judgment thresholds between a large sample of children with ASD, ADHD, ASD + ADHD combined and typically developing controls. The pattern of results suggested that while difficulties with tactile detection and order judgement were more common in children with ADHD, difficulties with tactile discrimination were more common in children with ASD. Strikingly, subsequent correlation analyses found that the disorder-specific alterations suggested by the group comparisons were also exclusively related to the core symptoms of each respective disorder. These results suggest that disorder-specific alterations of lower-level sensory processes exist and are specifically related to higher-level clinical symptoms of each disorder.

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