Italy was the first European country to be affected by the 2019 coronavirus epidemic (COVID-19). Several studies have shown the risk of developing depression, anxiety, and post-traumatic stress disorder in medical and paramedical staff. Causes included the high contagiousness of the virus, the fear of contracting it, the lack of adequate personal protective equipment, and physical and psychological fatigue. In this context, resilience represents a protective factor against adversity and stress burden. The aim of this research was to investigate if and how the resilience and personality profile is able to influence the response to stress and anxiety on a sample of Italian healthcare workers, during the COVID-19 outbreak. The sample consisted of 152 frontline healthcare workers, physicians, and paramedical professionals. Participants completed the online questionnaire measuring the Resilience Scale for Adults, the Big Five Inventory-10 Item, the State Anxiety Inventory, and the Perceived Stress Scale. Analyses of data aimed to show differences in the stress of healthcare workers due to gender and professional role, and at finding, by means of multidimensional scaling, the relations among anxiety, stress, resilience, and traits of personality. The findings gave some suggestions for implementing strategies useful to increase the resilience in healthcare workers and support them to cope with stressful events, typical of the pandemic emergency.

This study explores how aesthetic relational knowing (ARK), as assessed by the ARK-T scale, is used by psychotherapists of different psychotherapeutic models. The ARK-T, a tool based on Gestalt therapy principles, evaluates three core factors of this therapeutic competence: body awareness, affective empathy, and intuitive resonance. A sample of 158 therapists from various approaches, including Gestalt therapy, cognitive–behavioral, systemic–relational, and psychodynamic models, participated in the study. The results show that while body awareness and affective empathy vary in emphasis, depending on the therapeutic approach, intuitive resonance emerges as a shared competence among therapists across orientations. These findings suggest that ARK, particularly the therapist’s capacity to attune to the client’s emotional and relational dynamics, may be a core component of effective therapy. The study highlights the significance of these relational competences in fostering effective therapeutic outcomes across diverse psychotherapeutic frameworks.

Background. Major Depressive Disorder (MDD) is a highly prevalent and disabling condition frequently accompanied by cognitive deficits, impaired psychosocial functioning, and biological rhythm disturbances. Despite extensive literature on individual associations between depression and circadian disruptions, the mediating role of biological rhythms in the functional outcomes of MDD remains underexplored. Objectives. This study aimed to explore the associations between depression severity, biological rhythms, sleep quality, and psychosocial functioning, and to assess whether biological rhythm disturbances mediate the impact of depression on functioning. Methods. Sixty-one inpatients diagnosed with moderate-to-severe MDD were assessed using standardized instruments: BDI-II for depressive symptoms, BRIAN for biological rhythms, PSQI for sleep quality, and FAST for global functioning. Group comparisons, non-parametric correlations, and a mediation analysis were conducted to test direct and indirect effects. Results. Participants showed severe depressive symptoms, impaired functioning, disrupted biological rhythms, and poor sleep. Women reported more depressive episodes, reduced autonomy, and worse sleep than men. Depression severity was associated with circadian and sleep disturbances, which in turn related to functional impairment. Mediation analysis suggested that biological rhythms partially mediate the impact of depression on functioning. Conclusions. Findings from this preliminary analysis suggest that biological rhythm disturbances may play a mediating role in the relationship between depressive symptoms and daily psychosocial functioning. While not conclusive, these results highlight the potential relevance of chronobiological factors in understanding functional outcomes in MDD. Further research using longitudinal and controlled designs is needed to clarify these associations and their clinical implications.

Objective: The present study aims to explore the relationship between socio-demographic characteristics and cognitive decline. Method: The sample included 124 participants (58.87% females), aged 62 to 91 years (M = 75.28, SD = 8.07), who were divided into two groups based on cutoff scores from the Mini-Mental State Examination (MMSE) and the Addenbrooke’s Cognitive Examination-III (ACE-III): 41 individuals were classified as cognitively healthy, and 83 were identified as suffering from cognitive decline. A series of standard multiple regression analyses were performed to predict cognitive performance based on gender, age, education level, work, domicile, and marital status. Results: The results showed that socio-demographic variables (i.e., age, education level, living in urban areas, and less cognitively demanding professions) were associated with cognitive domains (attention, memory, language, fluency and visuo-spatial ability). Conclusion: Sociodemographic variables have been demonstrated to be associated with cognitive performance. Our findings may prove useful in improving the diagnostic profile of individuals with cognitive decline. Using sociodemographic characteristics to identify individuals at risk might support the development of targeted interventions, improving quality of life and reducing associated straining factors.