Evidence map›Paper›PMID 31808220›Full record

ArticleInternational journal of methods in psychiatric research2020

Prevalence, dimensionality and clinical relevance of self-disturbances and psychotic-like experiences in Polish young adults: a latent class analysis approach.

Renata Pionke, Piotr Gidzgier, Barnaby Nelson, Łukasz Gawęda

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Article in International journal of methods in psychiatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Renata PionkePsychopathology and Early Intervention Lab, II Department of Psychiatry, The Medical University of Warsaw, Poland.ORCID 0000-0003-0648-5478
Piotr GidzgierCenter for Interdisciplinary Addiction Research, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Barnaby NelsonOrygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0002-6263-2332
Łukasz GawędaClinical Neuroscience Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland.ORCID 0000-0001-6578-1846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to investigate latent classes of psychotic-like experiences (PLEs) and self-disturbances (SD) and to explore mutual overlapping between derived subgroups. Further, our goal was to investigate class membership relationship with an exposure to childhood trauma and different psychopathological factors such as cognitive biases, depression, insomnia, psychiatric diagnosis and lifetime suicidality.

methodsParticipants consist of 3167 non-clinical adults. We performed two latent class analyses (LCA), for PLEs and SD separately, to identify subgroups of individuals with different profiles on PLEs and SD. Associations between psychopathological factors and latent class membership were examined using multinomial logistic regression analysis.

resultsLCA produced 5 classes within SD and 3 classes within PLEs. Class of the highest endorsement of SD showed 53% overlap with class of the highest endorsement of PLEs. The highest risk of belonging to High Class for both SD and PLEs was associated in particular with depression, cognitive biases and insomnia. Trauma emerged as a significant predictor only for PLEs classes.

conclusionsOur findings confirm that high PLEs and SD co-occur and are concentrated in a relatively small number of individuals, at least in the general population. Their combination may capture the highest risk of psychosis in the general population.

Indexed as

EgoAdultAdverse Childhood ExperiencesBehavioral SymptomsComorbidityDepressionFemaleHumansLatent Class AnalysisMalePolandPrevalencePsychological TraumaPsychotic DisordersSleep Initiation and Maintenance DisordersYoung Adultlatent class analysispsychopathologypsychotic-like experiencesself-disturbances

Identifiers

PMID31808220
PMCPMC7051838

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