ASL Brindisi

Structural brain differences in the thalamus and the cortex have been widely reported in schizophrenia (SCZ) relative to neurotypical control individuals (NCs). Most previous studies examined the thalamus as a whole as a single region of interest. In addition, findings in individuals at familial high risk for SCZ (FHRs) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for SCZ.

Structural magnetic resonance imaging scans were obtained from 5197 participants (NC, n = 3409; FHR, n = 257; SCZ, n = 1531) across 32 cross-sectional samples within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Random-effects meta-analyses and network analyses were conducted on 1) local thalamic alterations (volume estimates of 7 thalamic subdivisions) and 2) network-wide thalamic alterations (thickness and surface-related thalamocortical/corticocortical covariation patterns) across groups (NC, FHR, SCZ).

Individuals with SCZ showed significantly lower gray matter volume estimates in the anterior, pulvinar, medial, posterior, and ventral thalamic subdivisions compared with NCs (false discovery rate-corrected q [q_FDR] < .05). FHRs did not differ from NCs. At the network-wide level, thalamocortical covariations discriminated FHRs from NCs (q_FDR < .05), with FHRs showing intermediate covariation between individuals with SCZ and NCs. Corticocortical covariation patterns revealed that individuals with SCZ and FHRs shared similarly disconnected clustering configurations, distinct from NCs (q_FDR < .05).

Results revealed lower thalamic volume estimates in individuals with SCZ but not in FHRs, hence yielding no evidence of a familial risk trait, whereas thalamocortical and corticocortical covariation estimates were associated with familial risk for SCZ. These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamocortical features may identify trait-dependent, neurobiological correlates of genetic risk for SCZ.

Healthcare workers (HCWs) employed in hospital settings frequently experience many occupational stressors leading to post-traumatic stress disorder (PTSD) symptoms. Literature has increasingly highlighted PTSD as a major issue that involves both staff and healthcare organizations; the consequences of PTSD may include medication errors and lower standards of care. The current COVID-19 pandemic poses the need for preventing PTSD in HCWs working closely with COVID-19 patients. The purpose of this systematic review was to analyze the latest developments in assessing and managing the occupational risk of PTSD symptoms in hospital HCWs.

We searched for publications in MEDLINE/Pubmed using selected keywords. Each article was reviewed and categorized into one or more of the following four categories based on its subject matter: risk assessment, risk management and occurrence rates.

Our search resulted in a total of 32 publications that matched our inclusion criteria.  Increased years of service, older age, previous year exposure to violence, personality traits (i.e. neuroticism), history of mental disorders, being non-graduates, were found to be workers' pre-trauma factors predicting PTSD symptoms.

The findings suggest the need to prioritize preventative interventions aimed to anticipate the effects of traumatic exposure by training HCWs in evidence based anticipatory methods of coping with stressful events. With regard to the current COVID-19 pandemic, we found evidence of the need to strength social support and training targeted at psychological skills of medical staff who treated COVID-19 patients.

Background: A growing literature has revealed a relationship between shift-work, including night-shift, and the disturbance of sleep-wake cycle, leading to insomnia and/or increased daytime sleepiness in shift nurses; recent findings showed an association between shift work sleep disorders and distress, work accidents, decreased job performance and, consequently, lower quality of health service provision and lower standards of care. Objectives: To analyze across the gender how shift nurses experience shift work sleep disorders and job stress. Methods: A cross-sectional study was performed following the STROBE Statement. The Italian version of the Job Content Questionnaire, the Bergen Insomnia Scale and the Epworth Sleepiness Scale were administered to the registered nurses employed in three Departments of General Practice and Elderly Care Medicine. Results: No significant association was found between high job strain and insomnia and daytime sleepiness. Significantly more women than men experienced high job strain, insomnia and daytime sleepiness; among women the level of social support was significantly and negatively associated with insomnia and daytime sleepiness. Conclusions: The findings of this study suggest that interventions aimed to prevent shift work sleep disorder and job stress in shift-nurses should incorporate the assessment of social support across the gender. Moreover, longitudinal studies are required to evaluate the effectiveness of interventions targeted on social support to minimize the occurrence of insomnia and daytime sleepiness in shift nurses.