Evidence map›Paper›PMID 37485689›Full record

ArticlePsychological medicine2023

Sexual abuse and psychotic phenomena: a directed acyclic graph analysis of affective symptoms using English national psychiatric survey data.

Giusi Moffa, Jack Kuipers, Elizabeth Kuipers, Sally McManus, Paul Bebbington

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Giusi MoffaUniversity of Basel, Basel, Switzerland.ORCID 0000-0002-2739-0454
Jack KuipersDepartment of Biosystems Science and Engineering, Eidgenossische Technische Hochschule Zurich, Basel, Switzerland.ORCID 0000-0001-5357-2705
Elizabeth KuipersKing's College London, London, UK.
Sally McManusCity University of London, London, UK.
Paul BebbingtonUniversity College London, London, UK.
City, University of London · GBBoard of the Swiss Federal Institutes of Technology · CHKing's College London · GBUniversity College London · GB

Funding

Medical Research Council MR/T045302/1Medical Research Council MR/V049879/1
6 · The paper itself

Abstract

backgroundSexual abuse and bullying are associated with poor mental health in adulthood. We previously established a clear relationship between bullying and symptoms of psychosis. Similarly, we would expect sexual abuse to be linked to the emergence of psychotic symptoms, through effects on negative affect.

methodWe analysed English data from the Adult Psychiatric Morbidity Surveys, carried out in 2007 (

resultsIn the DAG analyses, contrary to our expectations, paranoia appeared early in the cascade of relationships, close to the abuse variables, and generally lying upstream of affective symptoms. Paranoia was consistently directly antecedent to hallucinations, but also indirectly so, via non-psychotic symptoms. Hallucinosis was also the endpoint of pathways involving non-psychotic symptoms.

conclusionsVia worry, sexual abuse and bullying appear to drive a range of affective symptoms, and in some people, these may encourage the emergence of hallucinations. The link between adverse experiences and paranoia is much more direct. These findings have implications for managing distressing outcomes. In particular, worry may be a salient target for intervention in psychosis.

Indexed as

Psychotic DisordersSex OffensesAdultAffective SymptomsHallucinationsHumansParanoid DisordersAffective symptomsDAGspsychosissexual abuse

Identifiers

PMID37485689
PMCPMC10755243
OpenAlexW4385186648

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.