Are PID-5 personality traits and self-harm attitudes related? A study on a young adult sample pre-post COVID-19 pandemic.

Introduction: Different studies confirm a stronger link between maladaptive personality traits and Non-suicidal Self-injury (NSSI). Additionally, the interest in the relationship between the experience of the COVID-19 pandemic and NSSI is growing. The present study aims (a) to investigate differences in personality traits between individuals with NSSI, suicidal ideation, NSSI and suicidal ideation co-occurrence and none; (b) to observe which personality traits predominantly influence the occurrence of self-harm acts; (c) to evaluate the difference in self-harm attitudes pre and post COVID-19 pandemic. Method: 270 (108 males and 162 females) participants aged between 18 and 25 were included in the study. Everyone participated in a clinical interview and completed an assessment consisting of the Personality Inventory for DSM-5 (PID-5) and the Health of the Nation Outcome Scales (HoNOS). A multivariate analysis of variance (MANOVA), a multiple hierarchical regression analysis, controlling for age and gender and a T-test for independent samples were conducted. Results: The individuals with the highest levels of negative affectivity, detachment, antagonism, and psychoticism are those who simultaneously present suicidal ideation and NSSI. Moreover, age and detachment predicted higher scores in self-harm attitudes. Our results unexpectedly do not confirm an upward trend of NSSI and suicidal ideation during the pandemic period. Limitations: The study is cross-sectional, and no causal links can be assumed; the groups involved were not homogeneous for numerosity. Conclusions: The results testify that the study of maladaptive traits is fundamental to a greater understanding of NSSIs. Working clinically on those could potentially reduce.

At-risk mental states and personality traits: A cluster analysis approach on a group of help-seeking young adults.

INTRODUCTION: Research on the relationship between personality and psychosis onset is growing, with the goal of preventing or intervening early in patients' vulnerability. The identification of individuals with at-risk mental states has enabled the development of early intervention strategies, such as Programma 2000, a youth mental health service that was implemented in Milan (Italy). AIMS: Focusing on the 18-25 age range-the time window with the highest incidence of psychotic onset-this study aims to identify the personality traits that may characterize the at-risk mental states and the social functioning of a group of help-seeking young adults. METHODS: The sample includes 169 people (48.5% males and 51.5% females). Data were collected during an initial assessment that comprised the Social and Occupational Functioning Assessment Scale, the Personality Inventory for DSM-5, the Checklist ERIraos and a clinical session. RESULTS: Results identified a three-cluster solution based on the Checklist scores: Cluster 1 'Not at psychotic risk'; Cluster 2 'At intermediate risk'; Cluster 3 'With psychotic onset'. The multivariate analysis of the variance of personality traits shows significant differences among the clusters in negative affect, detachment and disinhibition. Higher scores in these traits may distinguish individuals, not at psychotic risk from those at intermediate risk or with psychotic onset. Moreover, social functioning was found to be negatively associated with clusters of psychotic risk. CONCLUSION: Findings from this study highlighted the need to evaluate personalized interventions targeting such personality traits that could prevent psychotic transition and promote psychological well-being.

Corrigendum: Personality traits and transition to psychosis one year after the first assessment.

[This corrects the article DOI: 10.3389/fpsyg.2023.1096626.].