Evidence map›Paper›PMID 33092867›Full record

ArticleJournal of psychiatric research2021

Dissociation in relation to other mental health conditions: An exploration using network analysis.

Emma Černis, Robin Evans, Anke Ehlers, Daniel Freeman

Open access · hybridAbstract read
In one paragraph

Article in Journal of psychiatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 5 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 5 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Emma ČernisUniversity of Oxford Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK. Electronic address: emma.cernis@psych.ox.ac.uk.
Robin EvansUniversity of Oxford Department of Statistics, 24-29 St Giles', Oxford, OX1 3LB, UK.
Anke EhlersOxford Centre for Anxiety Disorders and Trauma, Department of Experimental Psychology, University of Oxford, The Old Rectory, Paradise Square, Oxford, OX1 1TW, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK.
Daniel FreemanUniversity of Oxford Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK.
University of Oxford · GBOxford Health NHS Foundation Trust · GB

Funding

Wellcome Trust 102176/B/13/ZWellcome Trust 200796Wellcome Trust 200796/Z/16/Z
6 · The paper itself

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.

Indexed as

Mental HealthPsychotic DisordersBayes TheoremDissociative DisordersHallucinationsHumansBayesian inferenceDirected acyclic graphsDissociationNetwork analysisPsychopathologyPsychosis

Identifiers

PMID33092867
PMCPMC8039185
OpenAlexW3074865674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.