Assessing the patients' risk for malnutrition by RFH-NPT may be a useful predictor of disease progression and outcome for patients with chronic liver disease.

In his psychobiological model of personality, Cloninger developed a novel approach concerning the relationships between psychopathological syndromes and personality. We investigated 207 chronic pain patients (CPPs) and compared them to 105 pain-free control subjects. Participants were assessed using the Temperament and Character Inventory (TCI), the Structured-Clinical-Interview-II, the Beck Depression Inventory and the Spielberger Anxiety Inventory. The CPPs scored higher on the depression and state anxiety scales and 41% fulfilled the criteria of having at least one personality disorder (PD). We used a covariance analysis to control for depression and state anxiety and found that the CPPs scored higher on the Harm Avoidance Temperament Dimension and lower on the Self-Directedness and Cooperativeness Character Dimensions. In CPPs, the symptom counts of all PD subtypes were significantly related to low Self-Directedness and, to a lesser degree, low Cooperativeness. The PD symptoms in Cluster A were related to low Reward Dependence, those in Cluster B were related to high Novelty Seeking and the PD symptoms in Cluster C were related to high Harm Avoidance. In multiple hierarchical regression analyses, controlling for age, gender, depression and state anxiety, TCI scales predicted on average 23% in PD symptom counts. The Self-Directedness and Cooperativeness personality traits appeared to be significant predictors in determining the presence or absence of a PD by correctly classifying 75.8% of CPPs. The TCI provides further insight into the mechanisms underlying the development of chronic pain. This useful diagnostic instrument helps to economically and validly facilitate the identification of core PD features.

Objective The aim of this cross-sectional web-based study was to examine self-reported mental distress, psychosocial burdens, working conditions and potential risk and protective factors for depressive and anxiety symptoms during the COVID-19 pandemic in health care workers (HCW). Methods In the largest survey on mental health of HCW conducted during the first wave of COVID-19 in Europe (N = 8071 HCW), we investigated depressive (Patient Health Questionnaire-2, PHQ-2), and anxiety symptoms (Generalized Anxiety Disorder-2, GAD-2), working conditions, and psychosocial burden of 3678 HCW of three health care professions in hospitals: physicians (n = 1061), nurses (n = 1275), and medical technical assistants (MTA, n = 1342). Results The prevalence of clinically significant levels of depressive and anxiety symptoms was 17.4% and 17.8% for physicians, 21.6% and 19.0% for nurses, and 23.0% and 20.1% for MTA, respectively. All three professions demonstrated significantly elevated PHQ-2 and GAD-2 scores, when compared with general German population before the pandemic, but lower scores in relation to that during the pandemic. Multiple linear regression analyses revealed that higher levels of depressive symptoms were associated with insufficient recovery during leisure time, increased alcohol consumption, and less trust in colleagues in difficult situations. In addition, elevated anxiety scores were related to increased fear of becoming infected with COVID-19. Conclusion During the pandemic HCW demonstrated a lower burden of mental distress compared to the general population. Nevertheless, a high percentage of HCW demonstrates psychosocial distress, so that the establishment of regular mental health screening and prevention programmes for HCW is indicated.

Background: The COVID-19 pandemic is impacting mental health worldwide, particularly among healthcare workers (HCWs). Risk and protective factors for depression and generalized anxiety in healthcare workers need to be identified to protect their health and ability to work. Social support and optimism are known protective psychosocial resources, but have not been adequately studied in the context of the COVID-19 pandemic among healthcare workers in Germany. Methods: Within the first wave of the VOICE study (n = 7765), a longitudinal web-based survey study among healthcare workers in Germany, we assessed symptoms of depression (PHQ-2) and generalized anxiety (GAD-2), social support (ENRICHD Social Support Inventory; ESSI), and generalized optimism as well as sociodemographic, occupational, and COVID-19 related variables. Multiple linear regression analyses were conducted to examine associations between the constructs. Results: The analyses revealed that higher levels of social support and optimism were associated with lower levels of depression and generalized anxiety. They showed a higher association with depression and generalized anxiety than demographic or occupational risk factors such as female gender and direct contact with infected individuals. Conclusion: Psychosocial resources such as social support and optimism appear to contribute to successful coping with the COVID-19 pandemic and should be considered in future studies.

Our findings suggest a relationship between pruritus severity and anger in CIU. Furthermore, our results indicate a relationship between pruritus severity and depression in psoriasis.