MANEMOS. The Trigger Situations Inventory. Validation of a Measure Helping Relapse Prevention in the Treatment of Alcohol Use Disorders.

Background: Relapse Prevention (RP) is a cognitive-behavioral approach that aims to identify situations at high risk of relapse and to support patients with alcohol use disorders (AUDs) in developing coping strategies for the maintenance of desired behavioral changes. Based on this framework, the present study aims to assess and validate the psychometric properties of the MANEMOS, a 24-item inventory of alcohol relapse triggering situations. Methods: The internal consistency and factor structure of the MANEMOS were analyzed in a sample of 313 (27.7% women) in-patients and out-patients, attending alcohol treatment programs in Italian addiction treatment facilities. Results: The results support the internal reliability and validity of the measure. A confirmative factor analysis has revealed the existence of eight distinct dimensions measuring relapse risk situations: namely, Pleasant emotions, Unpleasant emotions, Craving, Conflicts with others, Occasions, Social Pressure, Personal Control, and Physical Discomfort. The patients' assessment of the riskiness of the situation showed some significant differences depending on gender and on type of treatment received. Conclusions: The findings indicate that MANEMOS is a valid measure for identifying and reflecting on patients' high relapse-risk situations. This easy and flexible assessment measure may have important implications for prevention and clinical intervention.

Trait Emotional Intelligence and Self-regulated Learning in University Students during the COVID-19 pandemic: the mediation role of Intolerance of Uncertainty and COVID-19 Perceived Stress.

The coronavirus pandemic strongly impacted the higher education system, challenging university students, who were required to make a considerable effort in terms of revising their personal study approach and managing their emotions. The present study aimed to examine the impact of Trait Emotional Intelligence (TEI) on Self-Regulated Learning (SRL) strategies directly, and indirectly through the mediation of COVID-19 perceived stress (PS) and Intolerance of Uncertainty (IU). 1055 Italian university students (mean age = 22.44 years, SD = 2.39) reached via social media, filled out the tools assessing TEI, COVID-19 PS, IU and SRL. Five mediation analyses performed with PROCESS showed that TEI positively predicted all SRL dimensions, and negatively influenced COVID-19 PS and Prospective and Inhibitory IU. COVID-19 PS and Inhibitory and Prospective IU differently predicted specific SRL dimensions. The indirect effects observed suggest that TEI may help university students to cope with stressful and uncertain psychological experiences in order to achieve higher levels of SRL strategies. The study highlights that TEI plays a pivotal role in academic SRL strategies, underlining the importance of its buffering effect in distressing circumstances such as the COVID-19 pandemic.

Videoconferencing analytic psychodrama in treating young adults' psychological suffering: preliminary results.

The study aims to explore the effects that videoconferencing Analytic Psychodrama (AP) has on the psychological wellbeing and emotional competence of young adults who are suffering from mental health problems. Twenty-two undergraduate students, asking for help at the Psychological Counselling Service of the University of Bologna for anxiety-depressive problems, took part in the three online groups that met weekly from October 2020 to July 2021. The Clinical Outcomes in Routine Evaluation Outcome Measure, the Trait Emotional Intelligence Questionnaire Short Form, the Toronto Alexithymia Scale, the Interpersonal Reactivity Index, and the Group Climate Questionnaire were used as test-retest questionnaires for clinical outcomes, emotional competence, and group climate evaluations. There was a statistically significant difference between the pre-test and 10-month scores for patients in clinical outcomes. Alexithymia significantly decreased and emotional intelligence and group engagement increased post-intervention. Videoconferencing AP sounds promising for alleviating psychological problems and to improve young adults' emotional competence.

"I Can't Do without You": Treatment Perspectives for Affective Dependence: A Scoping Review.

Affective Dependence (AD) is a problematic model of the love relationship that is becoming increasingly prevalent and evident in the context of couple relationships. Similarly, the phenomenon is being observed with growing frequency in daily clinical practice, making it increasingly necessary to identify treatment guidelines that can help clinicians in dealing with AD, while waiting for the literature to reach a consensus on its definition and nosographic profile. The main objective of this work is to explore the existing evidence of effectiveness regarding feasible treatments for Affective Dependence through a scoping review of the international literature carried out using the main scientific databases and following the PRISMA-ScR (PRISMA Extension for Scoping Reviews) guidelines. Seven studies were included in this review, and the results show that several pharmaceuticals, as well as different types of individual and group therapies, are proposed as treatment plans for AD. However, there is a lack of clinical trials that can verify the efficacy of the AD treatments reported so far in the literature. Some reflections that may help to distinguish a "healthy" addiction from a dysfunctional or markedly pathological one are considered alongside potential prevention perspectives.

The effect of cyberchondria on anxiety, depression and quality of life during COVID-19: the mediational role of obsessive-compulsive symptoms and Internet addiction.

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.

The Impact of COVID-19 Pandemic on Searching for Health-Related Information and Cyberchondria on the General Population in Italy.

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.

Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients.

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.