Towards A Definitive Symptom Structure Of Obsessive?Compulsive Disorder: A Factor And Network Analysis Of 87 Distinct Symptoms İn 1366 İndividuals

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dc.authorid165035en_US
dc.contributor.authorGüler, Ayşegül Selcen
dc.contributor.authorCervin, Matti
dc.contributor.authorEuripedes, C. Miguel,
dc.contributor.author.;, ve diğer
dc.date.accessioned2021-04-19T12:17:17Z
dc.date.available2021-04-19T12:17:17Z
dc.date.issued2021
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractBackground The symptoms of obsessive-compulsive disorder (OCD) are highly heterogeneous and it is unclear what is the optimal way to conceptualize this heterogeneity. This study aimed to establish a comprehensive symptom structure model of OCD across the lifespan using factor and network analytic techniques. Methods A large multinational cohort of well-characterized children, adolescents, and adults diagnosed with OCD (N = 1366) participated in the study. All completed the Dimensional Yale-Brown Obsessive-Compulsive Scale, which contains an expanded checklist of 87 distinct OCD symptoms. Exploratory and confirmatory factor analysis were used to outline empirically supported symptom dimensions, and interconnections among the resulting dimensions were established using network analysis. Associations between dimensions and sociodemographic and clinical variables were explored using structural equation modeling (SEM). Results Thirteen first-order symptom dimensions emerged that could be parsimoniously reduced to eight broad dimensions, which were valid across the lifespan: Disturbing Thoughts, Incompleteness, Contamination, Hoarding, Transformation, Body Focus, Superstition, and Loss/Separation. A general OCD factor could be included in the final factor model without a significant decline in model fit according to most fit indices. Network analysis showed that Incompleteness and Disturbing Thoughts were most central (i.e. had most unique interconnections with other dimensions). SEM showed that the eight broad dimensions were differentially related to sociodemographic and clinical variables. Conclusions Future research will need to establish if this expanded hierarchical and multidimensional model can help improve our understanding of the etiology, neurobiology and treatment of OCD. © 2021 The Author(s). Published by Cambridge University Press.en_US
dc.identifier.citationPsychological Medicine 1–13en_US
dc.identifier.doi10.1017/S0033291720005437
dc.identifier.issn0895-8696
dc.identifier.pmid33557980en_US
dc.identifier.scopus2-s2.0-85100757474en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1017/S0033291720005437
dc.identifier.wosWOS:000785640400001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.subjectObsessive–compulsive disorderen_US
dc.subjectSymptom dimensionsen_US
dc.subjectHeterogeneityen_US
dc.subjectFactor analysisen_US
dc.subjectNetwork analysisen_US
dc.titleTowards A Definitive Symptom Structure Of Obsessive?Compulsive Disorder: A Factor And Network Analysis Of 87 Distinct Symptoms İn 1366 İndividualsen_US
dc.typeArticleen_US

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