The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how to best characterize such cognitive heterogeneity is still a matter of debate. Despite being well suited for clinical data, cluster analysis techniques, like the Two-Step and the Latent Class, received little to no attention in the literature. The present study aimed to test the validity of the cluster solutions obtained with Two-Step and Latent Class cluster analysis on the cognitive profile of a cross-diagnostic sample of 387 psychiatric inpatients. Two-Step and Latent Class cluster analysis produced similar and reliable solutions. The overall results reported that it is possible to group all psychiatric inpatients into Low and High Cognitive Profiles, with a higher degree of cognitive heterogeneity in schizophrenia and bipolar disorder patients than in depressive disorders and personality disorder patients.

Since the global pandemic of the coronavirus disease 2019 (COVID-19), online health information-seeking behaviors have notably increased. Cyberchondria can be a vulnerability factor for the worsening of anxiety-depressive symptoms and quality of life. The current study aims to understand the predictive effect of cyberchondria on health anxiety, anxiety, depression and quality of life considering the mediating effect of obsessive-compulsive symptoms and Internet addiction and the moderating effect of COVID anxiety. 572 Italian participants (66% female; Mean age = 34; SD = 15) took part in a cross-sectional online survey involving CSS-12, MOCQ-R, IAT, SHAI, HADS, WHOQoL-BREF and CAS. Mediation and moderation analyses were conducted. Obsessive-compulsive symptoms and Internet addiction were found to partially mediate the cyberchondria-health anxiety and the cyberchondria-anxiety links and to totally mediate the cyberchondria-depression and the cyberchondria-quality of life links. COVID anxiety was found to moderate the relationship between cyberchondria and anxiety. The findings suggest that compulsivity may have a key role in the explanation of the underlying mechanisms of cyberchondria. Healthcare practitioners should provide additional support for individuals with cyberchondria. As such, cyberchondria is a contributing factor to the exacerbation of anxiety-depressive disorders and may impact on the quality of life.

Objectives: The Internet has become one of the most common sources people use to search for health-related information, a behavior rapidly increased during the novel Coronavirus disease 2019 (COVID-19). The present study aimed to investigate behavioral patterns in the online health-related searches and Cyberchondria (CYB) during the COVID-19 pandemic time, in order to explore socio-demographic and psychopathological factors related to CYB.Methods: During the third wave of the COVID-19 pandemic in Italy, a cross-sectional online survey collected the main socio-demographic variables and habits related to Internet use of 572 participants. CYB was measured by the Cyberchondria Severity Scale-Short Version and different psychopathological factors were measured by specific questionnaires: the Coronavirus Anxiety Scale, the Hospital Anxiety and Depression Scale, the Short Health Anxiety Inventory, the Meta-Cognitions about Health Questionnaire, the Internet Addiction Test, the Maudsley Obsessional-Compulsive Questionnaire-Short Version, the Rosenberg's Self-Esteem Scale, and the WHO Quality of Life-BREF. Descriptives, non-parametric ANOVAs, and Spearman correlations were performed.Results: In the present sample, the Internet was the main source participants used to search for health-related information and nearly one-third increased this habit during the pandemic. Higher expression of CYB emerged in females, in younger participants, in students, and in those suffering from a physical/psychiatric illness. CYB showed a positive correlation with different phenomenology of anxiety (i.e., anxiety about COVID-19, health anxiety, general anxiety, metacognitive believes about anxiety) and with depression, obsessive-compulsive symptoms, and problematic usage of the Internet. Conversely, quality of life and self-esteem showed a negative correlation with CYB.Conclusion: During the COVID-19 pandemic, the use of the Internet for health-related information and CYB contribute to the psychological stress affecting individuals and society. Delineating subjects more vulnerable to CYB and associated psychopathological factors will help to elaborate operational indications for prevention and psychological support.

Background: The role of emotional intelligence on the experience of behavioural addictions is a growing area of research interest. However, there are operationalisation issues in studying both emotional intelligence and behavioural addictions separately. This review aims to report on the existing literature of studies exploring the relationship between these two concepts, and to identify gaps in research practice in order to inform future studies. Methods: A search, covering the date range of 2013–2024, conducted in five databases in August 2024 identified 43 articles, reported according to PRISMA 2020 guidelines. The findings are discussed under four subheadings: technology-related behavioural addiction, internet gaming disorder, eating disorders, and consumer behaviour and compulsive buying. Results: Overall, the results show that emotional intelligence is negatively correlated with behavioural addictions and plays both a moderating and mediating role in the associations between behavioural addictions and other negative outcomes such as suicidal ideation, rumination, fear of missing out, and depression. Conclusions: In addition to summarising studies and controversial discussions on emotional intelligence and behavioural addictions, this review suggests possible roadmaps to ensure more accurate research outcomes by highlighting the importance of theoretical and methodological distinctions between trait and ability models of emotional intelligence.

Measuring psychological constructs in children presents unique challenges, as careful consideration of children’s cognitive and socioemotional development is needed. The Trait Emotional Intelligence Questionnaire-Child Form (TEIQue-CF) was developed within the theoretical underpinnings of trait Emotional Intelligence theory and is predicated on primary aged children. This review aims to systematize the scientific literature on the TEIQue-CF, its corresponding short form, the TEIQue-CSF and the translated versions of these tools to identify the key outcomes predicted by these forms in children aged 8–13 years. A search was conducted in Google Scholar, PubMed, Scopus, Web of Science and APA PsycArticles in June 2024. This review was guided by the latest version of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Conducted search identified 40 studies that investigated child emotional intelligence measured via TEIQue child forms. The key findings cover several topics related to the emotional aspects of children’s personalities, such as their intra- and interpersonal relationships, school life, cognition, and creativity. This systematic review revealed that trait Emotional Intelligence measured via the TEIQue child forms provide reliable results and is valid, as it has been linked to key childhood variables. This review also provides guidance for future research on the topic of trait Emotional Intelligence in children by highlighting current research limitations to avoid the likelihood of misleading research findings.