Supplemental Material for A Cross-Sectional and Longitudinal Network Analysis Approach to Understanding Connections Among Social Anxiety Components in Youth

2020 ◽  
Vol 129 (1) ◽  
pp. 82-91
Author(s):  
Anne C. Miers ◽  
Wouter D. Weeda ◽  
Anke W. Blöte ◽  
Angélique O. J. Cramer ◽  
Denny Borsboom ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S6-S7
Author(s):  
Susana Campos ◽  
Pía Monjes ◽  
Johanna Wigman ◽  
Daniel Nunez

Abstract Background Youth mental health is a global challenge, with onset of mental illness peaking in adolescence. In this population, depressive symptoms (DS), psychotic experiences (PE) and suicidal ideation (SI) are prevalent and risk factors for future mental disorders. DS could mediate relationships between psychotic experiences (PE) and suicidal ideation (SI); however, its precise role in this association remains uncertain. We examined whether depressive symptoms mediate the association between psychotic experiences and suicidal ideation using two complementary approaches to cross-sectional data from a community sample of adolescents. We hypothesized that DS mediate relationships between PE and SI. Additionally, we expected to find that specific DS would play a central role in this association and that this would show via higher centrality values for affective symptoms reflecting low energy, hopelessness and self-depreciating feelings in the network analyses. Methods We examined cross-sectional relationships between PE, SI and DS in a community sample of adolescents (N= 1715; 13–19 years old) recruited from Chilean secondary schools between April and August 2015. We addressed depressive symptoms (DS) using the Depression and Anxiety Scale (DASS-21). We assessed suicidal ideation using 6 items of the Columbia Suicide Severity Rating Scale (C-SSRS), adapted for being used as a self-report questionnaire. We addressed psychotic experiences (PE) by items of two pre-existing scales we adapted in prior studies with adolescents: the Community Assessment of Psychic Experiences - Positive scale (CAPE-P15), and the Brief Self-report Questionnaire for Screening Putative Pre-psychotic States (BQSPS). We first conducted a mediation analysis, where PE was the predictor, SI was the outcome, and DS were the mediator variables. Next, we performed a network analysis and estimated the strength centrality index for each symptom, and the network robustness through accuracy and stability test. Results Pearson’s correlations showed significant associations between all the variables in (SI-DS: r= .491, p<.001; PE-SI: r= .436, p<.001; PE-DS: r= .617, p<.001). No demographic variables (i.e gender, age) had to be controlled for in the mediation. The mediation analysis yielded that depression mediates the relationship between PE and SI (b= .2206, 95% BCa CI [.1783, .2644]). Additionally, network analysis showed the following strength centrality values (SV): depression (mean= 5.92, σ2=1.72; median= 6.08); bizarre experiences (mean= 3.94, σ2=0.35; median= 4.02); perceptual anomalies (mean= 3.75, σ2=2.21; median= 3.75); social anxiety (mean= 3.49, σ2=0.79; median= 3.23); negative symptoms (mean= 3.32, σ2=.23; median= 3.49). SI was strongly connected to pessimism (SV= .69); social anxiety (SV= .41); and self-criticalness/worthlessness (SV= .39). The correlation stability coefficient for the strength was (cor = 0.7) = 0.672, suggesting robustness of the findings. Discussion Our findings support prior research showing that DS mediate relationship between PE and SI and adds to this literature by showing which symptoms in particular are important. Some specific depressive symptoms having a central role in this process (pessimism and worthlessness) and also psychotic experiences (social anxiety: being distant to people) and perceptual anomalies (seeing things other cannot) are connected in a meaningful way to suicidal ideation in a community sample of adolescents. These findings should be considered when planning early detection/intervention programs.


2020 ◽  
Author(s):  
Orestis Zavlis ◽  
Myles Jones

Substantial overlap exists between schizophrenia and autism spectrum disorders, with part of that overlap hypothesised to be due to comorbid social anxiety. The current paper investigates the interactions and factor structure of these disorders at a personality trait level, through the lens of a network model. The items of the Autism Quotient (AQ), Schizotypal Personality Questionnaire Brief-Revised (SPQ-BR), and the Liebowitz Social Anxiety Scale (L-SAS) were combined and completed by 345 members of the general adult population. An Exploratory Graph Analysis (EGA) on the AQ-SPQ-BR combined inventory revealed two communities (factors), which reflected the general autism and schizotypal phenotypes. An additional EGA on all inventories validated the AQ-SPQ-BR factor structure and revealed another community, Social Anxiety (L-SAS). A Network Analysis (NA) on all inventories revealed several moderately central subscales, which collectively reflected the social-interpersonal impairments of the three disorders. The current results suggest that a combination of recent network- and traditional factor-analytic techniques may present a fruitful approach to understanding the underlying structure as well as relation of different psychopathologies.


2018 ◽  
Vol Volume 14 ◽  
pp. 1415-1424 ◽  
Author(s):  
Kristyna Vrbova ◽  
Jan Prasko ◽  
Marie Ociskova ◽  
Michaela Holubova ◽  
Krystof Kantor ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Tania Fernández-Villa ◽  
Carmen Benavides ◽  
Andrea Gayubo-Serrenes ◽  
Vicente Martín ◽  
...  

AbstractThe COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human behaviour based on relationships. However, there is a lack of studies that analyse the behaviour of university students based on their social structure in the context of a pandemic. This information could be useful in making decisions on how to plan collective responses to adversities. The Social Network Analysis (SNA) method has been chosen to address this structural perspective. The aim of our research is to describe the structural behaviour of students in university residences during the COVID-19 pandemic with a more in-depth analysis of student leaders. A descriptive cross-sectional study was carried out at one Spanish Public University, León, from 23th October 2020 to 20th November 2020. The participation was of 93 students, from four halls of residence. The data were collected from a database created specifically at the university to "track" contacts in the COVID-19 pandemic, SiVeUle. We applied the SNA for the analysis of the data. The leadership on the university residence was measured using centrality measures. The top leaders were analyzed using the Egonetwork and an assessment of the key players. Students with higher social reputations experience higher levels of pandemic contagion in relation to COVID-19 infection. The results were statistically significant between the centrality in the network and the results of the COVID-19 infection. The most leading students showed a high degree of Betweenness, and three students had the key player structure in the network. Networking behaviour of university students in halls of residence could be related to contagion in the COVID-19 pandemic. This could be described on the basis of aspects of similarities between students, and even leaders connecting the cohabitation sub-networks. In this context, Social Network Analysis could be considered as a methodological approach for future network studies in health emergency contexts.


2012 ◽  
Vol 56 (7) ◽  
pp. 1131-1147 ◽  
Author(s):  
Guillermo Rodríguez-Gutiérrez ◽  
Garry G. Duthie ◽  
Sharon Wood ◽  
Phil Morrice ◽  
Fergus Nicol ◽  
...  

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