001050000 001__ 1050000 001050000 005__ 20251219202234.0 001050000 0247_ $$2doi$$a10.1186/s12888-024-06435-2 001050000 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-05714 001050000 037__ $$aFZJ-2025-05714 001050000 082__ $$a610 001050000 1001_ $$00009-0007-1259-559X$$aChang, Zhixiong$$b0 001050000 245__ $$aDo coping strategies mediate the effects of childhood adversities and traumata on clinical high-risk of psychosis, depression, and social phobia? A cross-sectional study on patients of an early detection service 001050000 260__ $$aLondon$$bBioMed Central$$c2025 001050000 3367_ $$2DRIVER$$aarticle 001050000 3367_ $$2DataCite$$aOutput Types/Journal article 001050000 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1766153358_23158 001050000 3367_ $$2BibTeX$$aARTICLE 001050000 3367_ $$2ORCID$$aJOURNAL_ARTICLE 001050000 3367_ $$00$$2EndNote$$aJournal Article 001050000 500__ $$aFunding Open Access funding enabled and organized by Projekt DEAL. Part of the data curation was supported by a grant from the Koeln Fortune Program/Faculty of Medicine, University of Cologne (April 2005 to October 2007) to Dr. Schultze-Lutter. The funder had no role in the analyses of data and interpretation of results. Dr. Lichtenstein was supported by the Koeln Fortune Program/ Faculty of Medicine, University of Cologne (No 370/2020). 001050000 520__ $$aAbstractBackground: Childhood adversities and traumata (CAT) increase the risk for various mental disorders, including the clinical high-risk of psychosis (CHR-P) state and its main comorbidities, i.e., depression, and social phobia. However, these relations are likely mediated by personal coping behaviors. This cross-sectional study investigates the relationships between the main CAT domains, coping, CHR-P, depression, and social phobia.Methods: Using path analyses, we analyzed data of 736 patients (mean age 24 years, 67% male) who presented at an early detection service between 2002 and 2013, answered questionnaires on CAT, coping, depressiveness, and social phobia, and underwent clinical examination for CHR-P according to the recommendations of the Guidance project of the European Psychiatric Association.Results: All path models (total sample, males and females) showed good to excellent fit to the data. In all models, higher scores on maladaptive coping mediated the negative effect of emotional abuse on mental health outcomes. Additionally, in the total sample and males, lower scores on adaptive coping mediated the negative effect of emotional abuse and neglect, and physical neglect was associated with lower scores on adaptive coping that, in turn, were linked to depression and social phobia but not CHR-P. Overall, effects of maladaptive coping were higher than those of adaptive coping, although adaptive coping was more diversely associated with CAT. Furthermore, the interrelated depression and social phobia were more widely explained by the models than CHR-P, which was not significantly associated with them.Conclusions: Our findings underscore the complex interplay of the CAT domains and their relevant mediators with mental health outcomes that likely reflect underlying sex-specific psychological, social, cultural and neurobiological mechanisms. Supporting a broader view on CAT than the traditional focus on sexual abuse, results indicate an important role of emotional abuse that, descriptively, is most strongly mediated by maladaptive coping strategies on mental health outcomes. A detailed understanding of the effects of CAT will in future help to develop a multi-dimensional, holistic and sex-specific approach to the treatment of patients who have experienced CAT.Trial registration: The study was registered in the German Clinical Trial Register ( https://drks.de/ ) as DRKS00024469 at 02/24/2021.Keywords: Childhood adversity and trauma; Clinical high-risk; Coping; Depression; Mediation; Social phobia. 001050000 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0 001050000 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de 001050000 7001_ $$00000-0001-9761-0099$$aOsman, Naweed$$b1 001050000 7001_ $$00000-0002-4267-1668$$aDoll, Carolin Martha$$b2 001050000 7001_ $$00000-0001-5573-1212$$aLichtenstein, Theresa Katharina$$b3 001050000 7001_ $$00000-0002-3473-3101$$aRosen, Marlene$$b4 001050000 7001_ $$00009-0006-9007-3159$$aMeisenzahl, Eva$$b5 001050000 7001_ $$00000-0003-1555-9731$$aKadel, Hanna$$b6 001050000 7001_ $$aKambeitz, Joseph$$b7 001050000 7001_ $$0P:(DE-Juel1)176404$$aVogeley, Kai$$b8 001050000 7001_ $$00000-0003-1956-9574$$aSchultze-Lutter, Frauke$$b9$$eCorresponding author 001050000 773__ $$0PERI:(DE-600)2050438-X$$a10.1186/s12888-024-06435-2$$gVol. 25, no. 1, p. 21$$n1$$p21$$tBMC psychiatry$$v25$$x1471-244X$$y2025 001050000 8564_ $$uhttps://juser.fz-juelich.de/record/1050000/files/PDF.pdf$$yOpenAccess 001050000 909CO $$ooai:juser.fz-juelich.de:1050000$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery 001050000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176404$$aForschungszentrum Jülich$$b8$$kFZJ 001050000 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0 001050000 9141_ $$y2025 001050000 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-11 001050000 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 001050000 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBMC PSYCHIATRY : 2022$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-04-10T15:34:53Z 001050000 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-04-10T15:34:53Z 001050000 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 001050000 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2024-12-11 001050000 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-11 001050000 920__ $$lyes 001050000 9201_ $$0I:(DE-Juel1)INM-3-20090406$$kINM-3$$lKognitive Neurowissenschaften$$x0 001050000 980__ $$ajournal 001050000 980__ $$aVDB 001050000 980__ $$aUNRESTRICTED 001050000 980__ $$aI:(DE-Juel1)INM-3-20090406 001050000 9801_ $$aFullTexts