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Fazio L, Raio A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Garavan H, Gowland P, Grigis A, Heinz A, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Smolka MN, Hohmann S, Holz N, Vaidya N, Walter H, Whelan R, Schumann G, Bertolino A, Pergola G, Antonucci LA. Ruminative thinking mediates the effects of exposure to adverse life events on psychotic-like experiences. Front Psychol 2024; 15:1434470. [PMID: 39600602 PMCID: PMC11589823 DOI: 10.3389/fpsyg.2024.1434470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 10/28/2024] [Indexed: 11/29/2024] Open
Abstract
Introduction A growing literature has shown that exposure to adverse life events during childhood or adolescence is associated with the presence of psychotic-like experiences (PLEs), which is in turn associated with the risk of psychotic outcomes. Ruminative thinking, i.e., the tendency to dwell on particular issues or ideas, may affect the perceived aversiveness and ability to cope with adverse life events. However, the role that rumination plays in the relationship between adverse life events and the presence of PLEs remains unclear. The purpose of this study is to assess the association between adverse life events and PLEs in a longitudinal sample of young adults and adolescents, and to investigate whether this relationship is mediated by ruminative thinking. Methods We used a longitudinal naturalistic sample of 706 volunteers assessed at ages 18 and 22 years, within the Imagen consortium. Lifetime occurrence of adverse life events (i.e., events perceived as strongly negative by participants) was investigated using the Life Events Questionnaire. The Community Assessment of Psychic Experience (CAPE-42) served to assess the presence of PLEs, while ruminative thinking was investigated through the Ruminative Response Scale. Results Results showed that both frequency of PLEs and their persistence over time were associated with greater adverse life events exposure (r = 0.32, p < 0.001 and F 1 = 9.8; p < 0.001, respectively) and greater ruminative response (r = 0.66, p < 0.001 and F 1 = 94.9; p < 0.001, respectively). Mediation analyses showed that relationship between adverse life events and PLEs frequency was partially mediated by rumination (direct effect Z: 5.4, p < 0.001; indirect effect Z: 6.9, p < 0.001; total effect Z: 5.9, p < 0.001). Considering changes between the two assessment timepoints, relationship between PLEs variation between 18 and 22 years and adverse life events occurred during the same period was partially mediated by changes in rumination (direct effect Z: 2.8, p < 0.005; indirect effect Z: 4.3, p < 0.001; total effect Z: 4.3; p < 0.001). Discussion Overall, our findings confirm that the presence of adverse life events may increase the risk of experiencing PLEs in healthy individuals and suggest that dysfunctional coping strategies, such as ruminative thinking, may be related to psychosis proneness. Results do not disentangle whether individuals with greater risk for psychosis tend to ruminate more or whether rumination exacerbates psychosis risk.
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Affiliation(s)
- Leonardo Fazio
- Department of Medicine and Surgery, Libera Università Mediterranea (LUM) University “Giuseppe Degennaro”, Bari, Italy
| | - Alessandra Raio
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Center for Mental Health (DZPG), Partner Site Mannheim-Heidelberg-Ulm, Mannheim, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, United States
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom
| | - Antoine Grigis
- NeuroSpin Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Université Paris-Saclay, Gif-sur-Yvette, France
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, CCM Charité—Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherce Médicale, INSERM U A10 “Trajectoires développementales & psychiatrie”, University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherce Médicale, INSERM U A10 “Trajectoires développementales & psychiatrie”, University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Center for Mental Health (DZPG), Partner Site Mannheim-Heidelberg-Ulm, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Center for Mental Health (DZPG), Partner Site Mannheim-Heidelberg-Ulm, Mannheim, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Center for Mental Health (DZPG), Partner Site Mannheim-Heidelberg-Ulm, Mannheim, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, CCM Charité—Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology, Global Brain Health Institute, Trinity College, Dublin, Ireland
| | - Gunter Schumann
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Alessandro Bertolino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
- Psychiatry Unit, Policlinico di Bari, Bari, Italy
| | - Giulio Pergola
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
- Lieber Institute for Brain Development, John Hopkins Medical Campus, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Science, John Hopkins University, Baltimore, MD, United States
| | - Linda A. Antonucci
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
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Jia L, Wei Z, Wang J, Zhang X, Wang H, Chen R, Zhang X. Children's early signs and developmental trajectories of psychotic-like experiences. Brain Res 2024; 1832:148853. [PMID: 38458308 DOI: 10.1016/j.brainres.2024.148853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/24/2024] [Accepted: 03/05/2024] [Indexed: 03/10/2024]
Abstract
INTRODUCTION Children who experience persistent psychotic-like experiences (PLEs) are at a higher risk of developing psychotic disorder later in life. The developmental trajectories of PLEs are influenced by various factors. Therefore, it is important to identify early characteristics that can distinguish and predict between different developmental trajectories of PLEs. METHODS Using PLEs scores from the Adolescent Brain Cognitive Development (ABCD) data across three waves, we categorized participants into five distinct PLEs trajectories groups: persistent group (n = 47), remitting group (n = 185), increasing group (n = 117), remittent group (n = 21), and no PLEs group (n = 4,476). We utilized linear mixed-effect models and generalized linear mixed-effect models to examine the differences in baseline characteristics, including psychological and behavioral problems, suicidality, trauma experiences, developmental milestones, cognitive function, physical health, family income, family history of mental illness, and brain structureamong these PLEs trajectory groups. RESULTS We found that psychological and behavioral problems (such as DSM-oriented scales/externalizing/ADHD/social/attention/thought problems) assessed by the Child Behavior Checklist (CBCL) were associated with all PLEs groups. The persistent PLEs group had greater ADHD/social/thought problems and suicidal behavior compared to the remitting PLEs group. Comparing with the no PLEs group, poor cognitive function, abnormal brain structure (such as temporal lobe and supramarginal gyrus), more trauma experiences, and lower family income were found in only one of the PLEs groups, but not all PLEs groups. CONCLUSION The development of PLEs is accompanied by changes in many domains, implying a dynamic and complex developmental process. Given that psychological and behavioral problems can predict the emergence of PLEs at any time and can be regarded as risk factors for persistent PLEs, thereby enabling early precisely interventions, it is important to place greater emphasis on assessing psychological and behavioral problems.
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Affiliation(s)
- Luxia Jia
- School of Education, Guangzhou University, Guangzhou, China; Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Ziqian Wei
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Juan Wang
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Xuan Zhang
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Huagen Wang
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Runsen Chen
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China.
| | - Xiaoqian Zhang
- Wulituo Hospital of Beijing Shijingshan District, Beijing, China.
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Lehmann M, Ettinger U. Metacognitive monitoring in schizotypy: Systematic literature review and new empirical data. J Behav Ther Exp Psychiatry 2023; 81:101891. [PMID: 37453406 DOI: 10.1016/j.jbtep.2023.101891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 06/21/2023] [Accepted: 06/25/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND AND OBJECTIVES Deficits in metacognition, the ability to monitor one's own mental states, are key elements of the functional pathology of schizophrenia spectrum disorders. Little is known, however, about the integrity of metacognitive processes in subclinical schizotypy. The purpose of the present investigation was two-fold: First, we conducted a preregistered, systematic literature review to synthesize previous research efforts on the role of metacognition in schizotypy. Second, we investigated the relationship between self-reported dimensions of schizotypy and psychometric as well as behavioral measures of metacognition in a preregistered online study. METHODS A large sample (N = 330) completed a questionnaire battery and an episodic memory experiment; task-based metacognition was tapped via trial-by-trial confidence ratings. RESULTS In keeping with findings from our literature review, higher schizotypy was associated with diminished introspective insight and an overly self-referential and maladaptive metacognitive style in metacognition questionnaires. Importantly, low task-based metacognitive efficiency was predictive of high levels of cognitive disorganization, whereas task-related overconfidence (i.e., increased metacognitive bias) was linked with positive schizotypy. LIMITATIONS Due to the comparatively small number of k = 20 studies meeting our inclusion criteria, the systematic literature review provides only preliminary indications for potential conclusions. Furthermore, control over potential disturbing influences in the experimental study was limited due to its online format. CONCLUSIONS Overall, we provide evidence for specific metacognitive deficits in schizotypy and discuss a potential continuity of preserved and impaired aspects of metacognitive monitoring along the psychosis continuum.
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Affiliation(s)
- Mirko Lehmann
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, NRW, Germany.
| | - Ulrich Ettinger
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, NRW, Germany.
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