Dissociation in relation to other mental health conditions: An exploration using network analysis
Dissociative experiences, traditionally studied in relation to trauma and PTSD, may be important phenomena across many different psychological conditions, including as a contributory causal factor for psychotic experiences. In this study, the aim was to explore, using network approaches, how dissoci...
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description | Dissociative experiences, traditionally studied in relation to trauma and PTSD, may be important phenomena across many different psychological conditions, including as a contributory causal factor for psychotic experiences. In this study, the aim was to explore, using network approaches, how dissociative experiences taking the form of a Felt Sense of Anomaly (FSA) relate to both common mental health conditions and psychotic experiences. 6941 individuals from the general population completed online assessments of FSA-dissociation, post-traumatic stress symptoms (PTSS), anxiety, depression, insomnia, worry, distress tolerance, hallucinations, grandiosity, paranoia, and cognitive disorganization. An undirected partial correlation network analysis was used to explore the network structure, then Bayesian inference with Directed Acyclic Graphs (DAGs) was used to identify potential directions of relationships between dissociation and mental health symptoms. Dissociation was found to be highly connected in both network models. Both networks found direct relationships between dissociation and hallucinations, grandiosity, paranoia, cognitive disorganization, anxiety, depression, and PTSS. In the DAGs analysis, the direction of influence between dissociation and hallucinations, PTSS, anxiety and depression was unclear, however it was found to be probable that dissociation influences paranoia (97.66% of sampled DAGs found the direction dissociation to paranoia, versus 2.34% finding the reverse direction), cognitive disorganization (99.74% vs. 0.26%), and grandiosity (93.49% vs. 6.51%). Further, dissociation was found to be a probable influence of insomnia and distress tolerance via indirect pathways. In summary, dissociation is connected to many mental health disorders, and may influence a number of presentations, particularly psychotic experiences. The importance of dissociation in mental health may therefore currently be under-recognised.
•Dissociation is highly connected to other mental health presentations.•Dissociation has a strong relationship with hallucinations.•The direction of effect between dissociation and anxiety, depression and trauma symptoms is unclear.•Dissociation likely influences paranoia, grandiosity and cognitive disorganization. |
doi_str_mv | 10.1016/j.jpsychires.2020.08.023 |
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•Dissociation is highly connected to other mental health presentations.•Dissociation has a strong relationship with hallucinations.•The direction of effect between dissociation and anxiety, depression and trauma symptoms is unclear.•Dissociation likely influences paranoia, grandiosity and cognitive disorganization.</description><identifier>ISSN: 0022-3956</identifier><identifier>EISSN: 1879-1379</identifier><identifier>DOI: 10.1016/j.jpsychires.2020.08.023</identifier><identifier>PMID: 33092867</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Bayes Theorem ; Bayesian inference ; Directed acyclic graphs ; Dissociation ; Dissociative Disorders - epidemiology ; Hallucinations - epidemiology ; Humans ; Mental Health ; Network analysis ; Psychopathology ; Psychosis ; Psychotic Disorders - epidemiology</subject><ispartof>Journal of psychiatric research, 2021-04, Vol.136, p.460-467</ispartof><rights>2020 The Authors</rights><rights>Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><rights>2020 The Authors 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-30548d7205c5e734e829e485dfd1b9cec1459e5634f09f98b38f6ad6954c747a3</citedby><cites>FETCH-LOGICAL-c409t-30548d7205c5e734e829e485dfd1b9cec1459e5634f09f98b38f6ad6954c747a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jpsychires.2020.08.023$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33092867$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Černis, Emma</creatorcontrib><creatorcontrib>Evans, Robin</creatorcontrib><creatorcontrib>Ehlers, Anke</creatorcontrib><creatorcontrib>Freeman, Daniel</creatorcontrib><title>Dissociation in relation to other mental health conditions: An exploration using network analysis</title><title>Journal of psychiatric research</title><addtitle>J Psychiatr Res</addtitle><description>Dissociative experiences, traditionally studied in relation to trauma and PTSD, may be important phenomena across many different psychological conditions, including as a contributory causal factor for psychotic experiences. In this study, the aim was to explore, using network approaches, how dissociative experiences taking the form of a Felt Sense of Anomaly (FSA) relate to both common mental health conditions and psychotic experiences. 6941 individuals from the general population completed online assessments of FSA-dissociation, post-traumatic stress symptoms (PTSS), anxiety, depression, insomnia, worry, distress tolerance, hallucinations, grandiosity, paranoia, and cognitive disorganization. An undirected partial correlation network analysis was used to explore the network structure, then Bayesian inference with Directed Acyclic Graphs (DAGs) was used to identify potential directions of relationships between dissociation and mental health symptoms. Dissociation was found to be highly connected in both network models. Both networks found direct relationships between dissociation and hallucinations, grandiosity, paranoia, cognitive disorganization, anxiety, depression, and PTSS. In the DAGs analysis, the direction of influence between dissociation and hallucinations, PTSS, anxiety and depression was unclear, however it was found to be probable that dissociation influences paranoia (97.66% of sampled DAGs found the direction dissociation to paranoia, versus 2.34% finding the reverse direction), cognitive disorganization (99.74% vs. 0.26%), and grandiosity (93.49% vs. 6.51%). Further, dissociation was found to be a probable influence of insomnia and distress tolerance via indirect pathways. In summary, dissociation is connected to many mental health disorders, and may influence a number of presentations, particularly psychotic experiences. The importance of dissociation in mental health may therefore currently be under-recognised.
•Dissociation is highly connected to other mental health presentations.•Dissociation has a strong relationship with hallucinations.•The direction of effect between dissociation and anxiety, depression and trauma symptoms is unclear.•Dissociation likely influences paranoia, grandiosity and cognitive disorganization.</description><subject>Bayes Theorem</subject><subject>Bayesian inference</subject><subject>Directed acyclic graphs</subject><subject>Dissociation</subject><subject>Dissociative Disorders - epidemiology</subject><subject>Hallucinations - epidemiology</subject><subject>Humans</subject><subject>Mental Health</subject><subject>Network analysis</subject><subject>Psychopathology</subject><subject>Psychosis</subject><subject>Psychotic Disorders - epidemiology</subject><issn>0022-3956</issn><issn>1879-1379</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1v1DAQhi0EosvCX0A-ckkYfyU2B6RSPqVKXNqz5XUmjZesvdjZwv57skop9NTTjDTP-85oXkIog5oBa95u6-2-HP0QMpaaA4cadA1cPCErpltTMdGap2QFwHkljGrOyItStgDQciafkzMhwHDdtCviPoZSkg9uCinSEGnGcemnRNM0YKY7jJMb6YBunAbqU-zCCSjv6Hmk-Hs_prwoDiXEGxpx-pXyD-qiG48llJfkWe_Ggq_u6ppcf_50dfG1uvz-5dvF-WXlJZipEqCk7loOyitshUTNDUqtur5jG-PRM6kMqkbIHkxv9EbovnFdY5T0rWydWJP3i-_-sNlh5-ersxvtPoedy0ebXLAPJzEM9ibdWg3CMK1mgzd3Bjn9PGCZ7C4Uj-PoIqZDsVwqefr-zK-JXlCfUykZ-_s1DOyJsVv7LyF7SsiCtnNCs_T1_2feC_9GMgMfFgDnZ90GzLb4gNFjN3v5yXYpPL7lDwSjqpM</recordid><startdate>202104</startdate><enddate>202104</enddate><creator>Černis, Emma</creator><creator>Evans, Robin</creator><creator>Ehlers, Anke</creator><creator>Freeman, Daniel</creator><general>Elsevier Ltd</general><general>Pergamon Press</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202104</creationdate><title>Dissociation in relation to other mental health conditions: An exploration using network analysis</title><author>Černis, Emma ; Evans, Robin ; Ehlers, Anke ; Freeman, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-30548d7205c5e734e829e485dfd1b9cec1459e5634f09f98b38f6ad6954c747a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bayes Theorem</topic><topic>Bayesian inference</topic><topic>Directed acyclic graphs</topic><topic>Dissociation</topic><topic>Dissociative Disorders - epidemiology</topic><topic>Hallucinations - epidemiology</topic><topic>Humans</topic><topic>Mental Health</topic><topic>Network analysis</topic><topic>Psychopathology</topic><topic>Psychosis</topic><topic>Psychotic Disorders - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Černis, Emma</creatorcontrib><creatorcontrib>Evans, Robin</creatorcontrib><creatorcontrib>Ehlers, Anke</creatorcontrib><creatorcontrib>Freeman, Daniel</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of psychiatric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Černis, Emma</au><au>Evans, Robin</au><au>Ehlers, Anke</au><au>Freeman, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dissociation in relation to other mental health conditions: An exploration using network analysis</atitle><jtitle>Journal of psychiatric research</jtitle><addtitle>J Psychiatr Res</addtitle><date>2021-04</date><risdate>2021</risdate><volume>136</volume><spage>460</spage><epage>467</epage><pages>460-467</pages><issn>0022-3956</issn><eissn>1879-1379</eissn><abstract>Dissociative experiences, traditionally studied in relation to trauma and PTSD, may be important phenomena across many different psychological conditions, including as a contributory causal factor for psychotic experiences. In this study, the aim was to explore, using network approaches, how dissociative experiences taking the form of a Felt Sense of Anomaly (FSA) relate to both common mental health conditions and psychotic experiences. 6941 individuals from the general population completed online assessments of FSA-dissociation, post-traumatic stress symptoms (PTSS), anxiety, depression, insomnia, worry, distress tolerance, hallucinations, grandiosity, paranoia, and cognitive disorganization. An undirected partial correlation network analysis was used to explore the network structure, then Bayesian inference with Directed Acyclic Graphs (DAGs) was used to identify potential directions of relationships between dissociation and mental health symptoms. Dissociation was found to be highly connected in both network models. Both networks found direct relationships between dissociation and hallucinations, grandiosity, paranoia, cognitive disorganization, anxiety, depression, and PTSS. In the DAGs analysis, the direction of influence between dissociation and hallucinations, PTSS, anxiety and depression was unclear, however it was found to be probable that dissociation influences paranoia (97.66% of sampled DAGs found the direction dissociation to paranoia, versus 2.34% finding the reverse direction), cognitive disorganization (99.74% vs. 0.26%), and grandiosity (93.49% vs. 6.51%). Further, dissociation was found to be a probable influence of insomnia and distress tolerance via indirect pathways. In summary, dissociation is connected to many mental health disorders, and may influence a number of presentations, particularly psychotic experiences. The importance of dissociation in mental health may therefore currently be under-recognised.
•Dissociation is highly connected to other mental health presentations.•Dissociation has a strong relationship with hallucinations.•The direction of effect between dissociation and anxiety, depression and trauma symptoms is unclear.•Dissociation likely influences paranoia, grandiosity and cognitive disorganization.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>33092867</pmid><doi>10.1016/j.jpsychires.2020.08.023</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bayes Theorem Bayesian inference Directed acyclic graphs Dissociation Dissociative Disorders - epidemiology Hallucinations - epidemiology Humans Mental Health Network analysis Psychopathology Psychosis Psychotic Disorders - epidemiology |
title | Dissociation in relation to other mental health conditions: An exploration using network analysis |
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