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dc.contributor.author
Moffa, Giusi
dc.contributor.author
Catone, Gennaro
dc.contributor.author
Kuipers, Jack
dc.contributor.author
Kuipers, Elizabeth
dc.contributor.author
Freeman, Daniel
dc.contributor.author
Marwaha, Steven
dc.contributor.author
Lennox, Belinda R.
dc.contributor.author
Broome, Matthew R.
dc.contributor.author
Bebbington, Paul
dc.date.accessioned
2017-12-15T16:40:11Z
dc.date.available
2017-11-08T04:37:00Z
dc.date.available
2017-12-15T16:40:11Z
dc.date.issued
2017-11
dc.identifier.issn
0586-7614
dc.identifier.issn
1745-1701
dc.identifier.other
10.1093/schbul/sbx013
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/205804
dc.identifier.doi
10.3929/ethz-b-000205804
dc.description.abstract
Modern psychiatric epidemiology researches complex interactions between multiple variables in large datasets. This creates difficulties for causal inference. We argue for the use of probabilistic models represented by directed acyclic graphs (DAGs). These capture the dependence structure of multiple variables and, used appropriately, allow more robust conclusions about the direction of causation. We analyzed British national survey data to assess putative mediators of the association between bullying victimization and persecutory ideation. We compared results using DAGs and the Karlson–Holm–Breen (KHB) logistic regression commands in STATA. We analyzed data from the 2007 English National Survey of Psychiatric Morbidity, using the equivalent 2000 survey in an instant replication. Additional details of methods and results are provided in the supplementary material. DAG analysis revealed a richer structure of relationships than could be inferred using the KHB logistic regression commands. Thus, bullying had direct effects on worry, persecutory ideation, mood instability, and drug use. Depression, sleep and anxiety lay downstream, and therefore did not mediate the link between bullying and persecutory ideation. Mediation by worry and mood instability could not be definitively ascertained. Bullying led to hallucinations indirectly, via persecutory ideation and depression. DAG analysis of the 2000 dataset suggested the technique generates stable results. While causality cannot be fully determined from cross-sectional data, DAGs indicate the relationships providing the best fit. They thereby advance investigation of the complex interactions seen in psychiatry, including the mechanisms underpinning psychiatric symptoms. It may consequently be used to optimize the choice of intervention targets.
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc/4.0/
dc.subject
Probabilistic graphical models
en_US
dc.subject
directed acyclic graphs
en_US
dc.subject
mediation
en_US
dc.subject
Bullying
en_US
dc.subject
persecutory ideation
en_US
dc.subject
psychosis
en_US
dc.subject
worry
en_US
dc.subject
depression
en_US
dc.subject
anxiety
en_US
dc.title
Using Directed Acyclic Graphs in Epidemiological Research in Psychosis: An Analysis of the Role of Bullying in Psychosis
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial 4.0 International
dc.date.published
2017-05-17
ethz.journal.title
Schizophrenia Bulletin
ethz.journal.volume
43
en_US
ethz.journal.issue
6
en_US
ethz.journal.abbreviated
Schizophr Bull
ethz.pages.start
1273
en_US
ethz.pages.end
1279
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-11-08T04:37:05Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-12-15T16:40:15Z
ethz.rosetta.lastUpdated
2018-08-03T03:42:43Z
ethz.rosetta.versionExported
true
ethz.COinS
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