Background: The Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented traumatic event influencing the healthcare, economic, and social welfare systems worldwide. In order to slow the infection rates, lockdown has been implemented almost everywhere. Italy, one of the countries most severely affected, entered the “lockdown” on March 8, 2020.Methods: The COvid Mental hEalth Trial (COMET) network includes 10 Italian university sites and the National Institute of Health. The whole study has three different phases. The first phase includes an online survey conducted between March and May 2020 in the Italian population. Recruitment took place through email invitation letters, social media, mailing lists of universities, national medical associations, and associations of stakeholders (e.g., associations of users/carers). In order to evaluate the impact of lockdown on depressive, anxiety and stress symptoms, multivariate linear regression models were performed, weighted for the propensity score.Results: The final sample consisted of 20,720 participants. Among them, 12.4% of respondents (N = 2,555) reported severe or extremely severe levels of depressive symptoms, 17.6% (N = 3,627) of anxiety symptoms and 41.6% (N = 8,619) reported to feel at least moderately stressed by the situation at the DASS-21.According to the multivariate regression models, the depressive, anxiety and stress symptoms significantly worsened from the week April 9–15 to the week April 30 to May 4 (p < 0.0001). Moreover, female respondents and people with pre-existing mental health problems were at higher risk of developing severe depression and anxiety symptoms (p < 0.0001).Conclusions: Although physical isolation and lockdown represent essential public health measures for containing the spread of the COVID-19 pandemic, they are a serious threat for mental health and well-being of the general population. As an integral part of COVID-19 response, mental health needs should be addressed.

The aim of this systematic review and meta-analysis was to estimate the association between distinct types of child abuse--sexual (CSA), physical (CPA), and emotional (CEA)--and different eating disorders (EDs). Electronic databases were searched through January 2014. Studies reporting rates of CSA, CPA, and CEA in people with anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED), as compared with individuals without EDs, were included. Pooled analyses were based on odds ratios (ORs), with relevant 95% confidence intervals (CIs), weighting each study with inverse variance models with random effects. Risk of publication bias was estimated. Thirty-two of 1714 studies assessed for eligibility met the inclusion criteria, involving more than 14,000 individuals. The association between EDs and any child abuse showed a random-effects pooled OR of 3.21 (95% CI = 2.29-4.51, p < .001) with moderate heterogeneity (I2 = 57.2%, p = .005), whereas for CSA, this was 1.92 (95% CI = 1.13-3.28, p = .017), 2.73 (95% CI = 1.96-3.79, p < .001), and 2.31 (95% CI = 1.66-3.20, p < .001), for AN, BN, and BED, respectively. However, adjusting for publication bias, the estimate for CSA and AN was not significant (OR = 1.06, 95% CI = 0.59-1.88, p = .85). Although CPA was associated with AN, BN, and BED, CEA was associated just with BN and BED. BN and BED are associated with childhood abuse, whereas AN shows mixed results. Individuals with similar trauma should be monitored for early recognition of EDs. The protocol was registered in PROSPERO (an international prospective register of systematic reviews) with the reference number CRD42014007360.

The COVID-19 pandemic and its related containment measures—mainly physical distancing and isolation—are having detrimental consequences on the mental health of the general population worldwide. In particular, frustration, loneliness, and worries about the future are common reactions and represent well-known risk factors for several mental disorders, including anxiety, affective, and post-traumatic stress disorders. The vast majority of available studies have been conducted in China, where the pandemic started. Italy has been severely hit by the pandemic, and the socio-cultural context is completely different from Eastern countries. Therefore, there is the need for methodologically rigorous studies aiming to evaluate the impact of COVID-19 and quarantine measures on the mental health of the Italian population. In fact, our results will help us to develop appropriate interventions for managing the psychosocial consequences of pandemic. The “COVID-IT-mental health trial” is a no-profit, not-funded, national, multicentric, cross-sectional population-based trial which has the following aims: a) to evaluate the impact of COVID-19 pandemic and its containment measures on mental health of the Italian population; b) to identify the main areas to be targeted by supportive long-term interventions for the different categories of people exposed to the pandemic. Data will be collected through a web-platform using validated assessment tools. Participants will be subdivided into four groups: a) Group 1—COVID-19 quarantine group. This group includes the general population which are quarantined but not isolated, i.e., those not directly exposed to contagion nor in contact with COVID-19+ individuals; b) Group 2—COVID-19+ group, which includes isolated people directly/indirectly exposed to the virus; c) Group 3—COVID-19 healthcare staff group, which includes first- and second-line healthcare professionals; d) Group 4—COVID-19 mental health, which includes users of mental health services and all those who had already been diagnosed with a mental disorder. Mental health services worldwide are not prepared yet to manage the short- and long-term consequences of the pandemic. It is necessary to have a clear picture of the impact that this new stressor will have on mental health and well-being in order to develop and disseminate appropriate interventions for the general population and for the other at-risk groups.

Background.Depression after stroke may have great burden on the likelihood of functional recovery and long-term outcomes.Objective. To estimate the association between depression after stroke and subsequent mortality.Methods. A systematic search of articles using PubMed and Web of Science databases was performed. Odds ratios (ORs) and hazard ratios (HRs) were used as association measures for pooled analyses, based on random-effects models.Results. Thirteen studies, involving 59,598 subjects suffering from stroke (6,052 with and 53,546 without depression), had data suitable for meta-analysis. The pooled OR for mortality at followup in people suffering from depression after stroke was 1.22 (1.02–1.47). Subgroups analyses highlighted that only studies with medium-term followup (2–5 years) showed a statistically significant association between depression and risk of death. Four studies had data suitable for further analysis of pooled HR. The meta-analysis revealed a HR for mortality of 1.52 (1.02–2.26) among people with depression after stroke.Conclusions. Despite some limitations, this paper confirms the potential role of depression on post stroke mortality. The relationship between depression and mortality after stroke seems to be related to the followup duration. Further research is needed to clarify the nature of the association between depression after stroke and mortality.