Untying a Gordian knot: Exploring the nomological network of resilience.

OBJECTIVE: This study investigates the relations of resilience with coping, personality traits, emotional intelligence, sense of coherence and maladaptive personality traits. METHOD: The study employs network analysis techniques to the study of resilience, showcasing how these methods can estimate a model that is simple to interpret while still retaining the most important relations and that can even suggest the direction of causality despite using a cross-sectional design (N = 305). RESULTS: The results highlight several important variables that should be considered for fostering resilience, foremost among them the use of positive reappraisal coping, sense of coherence, and the social management aspect of emotional intelligence. CONCLUSIONS: The results successfully replicated known associations between resilience and other psychological constructs (emotional intelligence, personality, sense of coherence, coping) and shed light on relations between resilience and maladaptive personality traits. Network analysis considered all these constructs together, so as to take into account the complex pattern of relations between them and offer a bird's eye view of the whole network of associations centred on resilience. The resulting model is parsimonious and easy to interpret while still striving to preserve the complexity of the variables' interrelations.

Anxiety, Depression and Risk of Post-Traumatic Stress Disorder in Health Workers: The Relationship with Burnout during COVID-19 Pandemic in Italy.

During the COVID-19 pandemic, healthcare workers (HW) have faced an extremely difficult work environment, with an increased workload and traumatic events. Our study aimed to investigate the impact of COVID-19 pandemic on HW's mental wellbeing. We analyzed the correlations between levels of burnout and other mental health disorders and we searched for the presence of specific risk factors of post-traumatic symptomatology related to the pandemic. A structured an on-line questionnaire and validated instruments were completed by a sample of HW from some hospitals in Genoa, Italy. Anxious, depressive, post-traumatic and other psychological symptoms were assessed and risk factors, related to the pandemic, were considered. Then, we investigated the correlation between levels of burnout and the risk of developing psychopathology. A total of 731 HW were screened, and we found increased levels of anxiety (61%), depression (62%), PTSD (34%) and high levels of burnout; especially emotional exhaustion (37%). A statistically significant association between burnout and insomnia, depression, anxiety, and post-traumatic symptoms was demonstrated. This study indicates that during the COVID-19 pandemic, HW showed high levels of psychological distress and that burnout is an important predictor of sufferance. These findings support the idea to provide psychological and psychiatric support for HW.