An important goal for cancer patients is to improve the quality of life (QOL) by maximising functions affected by the disease and its therapy. Preliminary research suggests that exercise may be an effective intervention for enhancing QOL in cancer survivors. Research has provided preliminary evidence for the safety, feasibility, and efficacy of exercise training in breast cancer survivors. The aim of this study was to assess the association between physical exercise and quality of life in a population of female breast cancer survivors, followed up from diagnosis to the off-treatment time period, and investigated about their exercise habits in pre-diagnosis.A total of 212 female breast cancer survivors consecutively registered from January 2002 to December 2006 at a Supportive Care Unit in an Italian Oncology Department were enrolled. Exercise behaviour was assessed by the Leisure Score Index (LSI) of the Godin Leisure-Time Exercise Questionnaire. Patients were asked to report their average weekly exercise for three cancer-related time periods, i.e. pre-diagnosis, during active treatment and off-treatment. Quality of life was assessed by the Italian version of the WHOQOL-BREF standardised instrument.Statistical analysis indicated significant differences across the cancer-relevant time-periods for all exercise behaviour outcomes: the exercise behaviour was significantly lower during both on- and off- treatment than during prediagnosis; exercise during active treatment was significantly lower than during off-treatment. QOL strongly decreases during active treatment. Significant correlations were found between total exercise on- and off-treatment and all QOL indicators. Strenuous exercise is strongly correlated with QOL. Absent/mild exercise seems to be inversely correlated with a positive perception of disease severity and with quality of life on all axes.Need clearly results for inclusion of physical activity programs in comprehensive, complementary treatment regimes for breast cancer patients in Italian oncology departments.

The differential diagnosis between schizophrenia spectrum disorders (SSD) and autism spectrum disorders (ASD) remains an important clinical question, because they have overlap in clinical diagnosis. This study explored the differences between ASD (n = 44) and SSD patients (n = 59), compared to typically developing peers (n = 63), in completing an advanced Theory of Mind (ToM) task. The outcome found several differences between groups. The SSD patients showed greater difficulty in understanding social scenarios, while ASD individuals understood the stories, but did not correctly identify the protagonist’s intention. The interesting aspect of the results is that some ToM stories are more informative about the mentalistic reasoning of the two clinical groups, namely, the stories that investigate pretend, persuasion, double bluff and ironic joke constructs.

On March 9, 2020, Italy has gone into "lockdown" because of COVID-19 pandemic, with a national quarantine. All non-essential working activities and schools of all levels have been temporarily closed: consequently, the entire population have been forced to dramatically change their daily habits. The pandemic raised important psychological, moral, social, and economic issues. Our research focused on the moral decision-making of people during an emergency. This paper reports two studies. The aim of Study 1 was to evaluate moral decision-making, level of perceived stress, ability of mentalizing and empathy in university students and Italian workers. 224 front-line workers (FLW), 413 second-line workers (SLW), and 663 university students (US), during Italian Phase 1 of lockdown, completed an online questionnaire. The results of Study 1 showed that participants in the FLW group are more likely to choose utilitarian solutions and judge as morally acceptable actions finalized to saving lives of more people if this requires sacrificing a low number of individuals. At the same time, decision-making was experienced as less unpleasant and less arousing with respect to the other two groups, demonstrating a greater ability to keep emotional control under pressure. In Study 2, we compared the same variables used in Study 1, selecting two professional categories from the FLW group engaged in emergency during COVID-19, namely healthcare providers (n = 82) and public safety personnel (n = 117). Our results showed that healthcare providers were more stressed and emotionally involved than public safety personnel, with higher empathic concern and arousal in moral decision-making. We suggest it is essential providing immediate psychological support and monitoring physical and emotional well-being for workers in the front-line during emergencies like the COVID-19 pandemic, in order to prevent experiences of moral distress or mental health problems.

Children with autism spectrum disorder (ASD) are characterized by difficulties in social cognition (SC) domains. The aim of this study is to build an SC network to explore associations among interacting elements within this cognitive construct. We used a graph analysis to explain how individual SC domains relate to each other and how these relations may differ between ASD and typically developing (TD) groups. Seventy-six children with ASD and 81 TD children, matched for verbal mental age, were subjected to three SC measures. Our results showed that TD children exhibited an SC network characterized by a single domain (i.e., social cognition), while children with ASD demonstrated communicating node communities where social information processing measured by the Social Information Processing Interview (SIPI) represents a key point in understanding network differences between groups.

PURPOSE A large proportion of patients with cancer suffer from breakthrough cancer pain (BTcP). Several unmet clinical needs concerning BTcP treatment, such as optimal opioid dosages, are being investigated. In this analysis the hypothesis, we explore with an unsupervised learning algorithm whether distinct subtypes of BTcP exist and whether they can provide new insights into clinical practice. METHODS Partitioning around a k-medoids algorithm on a large data set of patients with BTcP, previously collected by the Italian Oncologic Pain Survey group, was used to identify possible subgroups of BTcP. Resulting clusters were analyzed in terms of BTcP therapy satisfaction, clinical features, and use of basal pain and rapid-onset opioids. Opioid dosages were converted to a unique scale and the BTcP opioids-to-basal pain opioids ratio was calculated for each patient. We used polynomial logistic regression to catch nonlinear relationships between therapy satisfaction and opioid use. RESULTS Our algorithm identified 12 distinct BTcP clusters. Optimal BTcP opioids-to-basal pain opioids ratios differed across the clusters, ranging from 15% to 50%. The majority of clusters were linked to a peculiar association of certain drugs with therapy satisfaction or dissatisfaction. A free online tool was created for new patients’ cluster computation to validate these clusters in future studies and provide handy indications for personalized BTcP therapy. CONCLUSION This work proposes a classification for BTcP and identifies subgroups of patients with unique efficacy of different pain medications. This work supports the theory that the optimal dose of BTcP opioids depends on the dose of basal opioids and identifies novel values that are possibly useful for future trials. These results will allow us to target BTcP therapy on the basis of patient characteristics and to define a precision medicine strategy also for supportive care.