RT Journal Article
T1 Examining the relationships between emotional disorder symptoms in a mixed sample of community adults and patients: A network analysis perspective
A1 Rosa Cáceres, Ana María
A1 Sayans-Jiménez, Pablo
A1 Stasik-O'Brien, Sara
A1 Sánchez García, Manuel
A1 Fernández Calderón, Fermín
A1 Díaz Batanero, María Carmen
AB According to the literature, comorbidity rates observed on emotional disorders are linked to how the main diagnostic classification systems have traditionally defined these disorders. This paper aims to analyze the structure of symptoms evaluated with the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) with network analysis. A mixed sample (n = 2021) of 1692 community adults and 329 patients was used. 14.79% (n = 299) of the sample met the diagnostic criteria for at least one DSM-5 mental disorder and 5.29% (n = 107) had diagnostic comorbidity. The sample was randomly divided into two sub-samples: estimation sample (n = 1010) and replication sample (n  = 1011). The detection of community structures was carried out on estimation sample using the walktrap algorithm. Four local inference measures were estimated: Strength, one-step Expected Influence, two-step Expected Influence, and node predictability. Exploratory graphic analysis of modularity yielded an optimal solution of two communities on estimation sample: first linked to symptoms of depression and anxiety and second grouping symptoms of bipolar disorder and obsessive – compulsive disorder. Mania, Panic, Claustrophobia, and Low Well-Being Bridge emerged as bridge symptoms, connecting the two substructures. Networks estimated on replication subsamples did not differ significantly in structure. Dysphoria, Traumatic Intrusions and Checking and Ordering were the symptoms with greatest number of connections with rest of the network. Results sheds light on specific links between emotional disorder symptoms and provides useful information for the development of transdiagnostic interventions by identifying the influential symptoms within the internalizing spectrum.
PB Springer
SN 1046-1310
SN 1936-4733 (electrónico)
YR 2023
FD 2023
LK http://hdl.handle.net/10272/20945
UL http://hdl.handle.net/10272/20945
LA eng
NO Ana De La Rosa-Caceres, Pablo Sayans-Jiménez, Sara Stasik-O’Brien, Manuel Sanchez-Garcia, Fermín Fernández-Calderón, Carmen Diaz-Batanero (2023). Examining the relationships between emotional disorder symptoms in a mixed sample of community adults and patients: A network analysis perspective. Current Psychology 42, 16962–16972. https://doi.org/10.1007/s12144-022-02907-4
NO Open Access funding provided thanks to the University of Huelva / CRUE-CSIC agreement with Springer Nature. This work was supported by the grant “Network-Psyco: Modelización a través de redes empíricas de las conexiones entre facetas y rasgos psicológi-cos”, project UHU-1257470 on Programa Operativo FEDER Andalucía 2014–2020, provided by Fondo Europeo de Desarrollo Regional (EU) and Junta de Andalucía (Spain), and by Ministry of Universities of the Government of Spain (FPU19/00144).Funding for open access charge: Universidad de Huelva / CBUA
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026