Objectives: The present study aimed to test a hypothetical model where causally linked and ordered cognitive biases, resilience and depressive symptoms serve as mediators of the relationship between early traumatic life events and psychotic-like experiences (PLEs) in the general population of young adults. Methods: Two thousand six hundred and fourteen people (1673 females) took part in the online survey. Participants completed self-report questionnaires measuring exposure to early traumatic life events, PLEs, cognitive biases, resilience and depressive symptoms. Correlation and multiple mediation analyses were performed. Results: All three mediators turned out to be significantly correlated with early trauma, PLEs and with each other. Mediational analysis demonstrated that hypothesized model of causally linked mediators was significant (P ≤ .001) and accounted for 33% (P < .001) of the explained variance in PLEs in comparison to 11% (P ≤ .001) without mediators. Conclusions: First, our results provide evidence for significant associations between early traumatic life events, cognitive biases, depressive symptoms, psychological resilience and PLEs. Second, they indicate significant indirect effects of early trauma exposure on PLEs through a path consisted of cognitive biases, psychological resilience and depressive symptoms that suggest a possible importance of interventions bolstering resilience in young people in order to minimize the severity of depressive and psychotic psychopathology. K E Y W O R D S cognitive biases, depressive symptoms, early trauma, psychotic-like experiences, resilience

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BackgroundChildhood trauma, psychosis risk, cognition, and depression have been identified as important risk markers for suicidal behaviors. However, little is known about the interplay between these distal and proximal markers in influencing the risk of suicide. We aim to investigate the interplay between childhood trauma, cognitive biases, psychotic-like experiences (PLEs) and depression in predicting suicidal behaviors in a non-clinical sample of young adults.MethodsIn total, 3495 young adults were recruited to an online computer-assisted web interview. We used the Prodromal Questionnaire to assess PLEs. Childhood trauma was assessed with the Traumatic Experience Checklist (three items) and Childhood Experience of Care and Abuse Questionnaire (CECA.Q, three items). Cognitive biases were assessed with a short version of the Davos Assessment of Cognitive Biases Scale. Suicidality, psychiatric diagnoses, and substance use were screened with a self-report questionnaire.ResultsChildhood trauma, as well as PLEs, was associated with an approximately five-fold increased risk of suicidal thoughts and plans as well as suicide attempts. Participants with depression were six times more likely to endorse suicidal behaviors. Path analysis revealed that PLEs, depression and cognitive biases are significant mediators of the relationship between trauma and suicidal behaviors. The model explained 44.6% of the variance in lifetime suicidality.ConclusionsCognitive biases, PLEs, and depression partially mediate the relationship between childhood trauma and suicidal behaviors. The interplay between distal and proximal markers should be recognized and become part of clinical screening and therapeutic strategies for preventing risk of suicidality.

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Background. Childhood traumatic events are risk factors for psychotic-like experiences (PLEs). However, the mechanisms explaining how trauma may contribute to the development of PLEs are not fully understood. In our study, we investigated whether cannabis use and cognitive biases mediate the relationship between early trauma and PLEs. Methods. A total sample of 6,772 young adults (age 26.6 ± 4.7, 2,181 male and 3,433 female) was recruited from the general population to participate in an online survey. We excluded 1,158 individuals due to a self-reported lifetime diagnosis of any mental disorder. The online survey included selected items from the following questionnaires: Traumatic Experience Checklist (TEC, 3 items), Childhood Experience of Care and Abuse Questionnaire (CECA.Q, 3 items), Cannabis Problems Questionnaire (CPQ, 10 items), Davos Assessment of Cognitive Biases Scale (DACOBS-18, 9 items), and Prodromal Questionnaire-16 (PQ-16). Mediation analyses were performed with respect to different categories of traumatic experiences (emotional, physical and sexual abuse as well as emotional neglect). Results. Our results showed significant associations of any time of childhood trauma with higher scores of cannabis use (CPQ), cognitive biases (DACOBS), and PLEs (PQ-16) (p < 0.001). We found a direct effect of childhood trauma on PLEs as well as significant indirect effect mediated through cannabis use and cognitive biases. All models tested for the effects of specific childhood adversities revealed similar results. The percentage of variance in PQ-16 scores explained by serial mediation models varied between 32.8 and 34.2% depending on childhood trauma category. Conclusion. Cannabis use and cognitive biases play an important mediating role in the relationship between childhood traumatic events and the development of PLEs in a nonclinical young adult population.

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Objectives We 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. Methods Participants 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. Results LCA 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. Conclusions Our 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.

Although the linkage between traumatic life events and psychotic-like experiences (PLEs) is well established, the knowledge of potential mechanisms of this relationship is scarce. The aim of the present study was to better understand the structure of connections between traumatic life events and PLEs by considering at the same time the role of cognitive biases and depressive symptoms in the population of young adults (18–35 years of age, M = 26.52, SD = 4.74, n = 6772). Our study was conducted within a framework of network analysis. PLEs were measured with the Prodromal Questionnaire (PQ-16), cognitive biases were measured with nine items from the Davos Assessment of Cognitive Biases Scale-18 (DACOBS-18), depressive symptoms were assessed with the Center for Epidemiologic Studies–Depression Scale (CESD-R) and exposure to traumatic life events was measured with a combination of Childhood Experience of Care and Abuse Questionnaire (CECA.Q) and Traumatic Experience Checklist (TEC). The results present a network of all nodes being interconnected within and between domains, with no isolated factors. Exposures to sexual trauma were the most central node in the network. Pathways were identified from trauma to PLEs via cognitive biases and depressive symptoms. However, the shortest pathway between the most central traumatic life event and PLEs was through other traumatic life events, without cognitive biases or depressive symptoms along the way. Our findings suggest the importance of environmental adversities as well as dysfunctional information processing and depression in the network of psychosis risks.