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The relationship between serum BDNF levels and cognitive dysfunction in schizophrenia (SCZ) patients comorbid with type 2 diabetes mellitus (T2DM) has not been reported. Hence, this study aimed to explore whether and how the changes of serum BDNF levels were correlated with cognitive impairment in SCZ patients comorbid with T2DM. We recruited 472 inpatients with chronic SCZ (54 T2DM and 418 non-T2DM), and 225 healthy controls. Serum BDNF levels and routine biochemical parameters were measured. selleck kinase inhibitor Psychopathological symptoms were evaluated by the Positive and Negative Syndrome Scale (PANSS) and cognitive function was assessed by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). SCZ patients with T2DM had significantly higher serum BDNF levels than SCZ patients without T2DM (F = 11.31, p = 0.001). SCZ patients with T2DM scored higher in delayed memory than SCZ patients without T2DM (77.17 ± 18.44 vs.66.24 ± 19.51, p = 0.000), and still showed significance after controlling for confounders. Further stepwise multiple regression analysis identified serum BDNF as an independent contributor to the RBANS attention of SCZ patients with T2DM (β = 0.30, t = 2.09, p = 0.042). The increase of BDNF levels and better cognitive performance, especially delayed memory, may be related to the pathophysiological process of T2DM in chronic SCZ patients.Evidence suggests that the negative consequences of COVID-19 may extend far beyond its considerable death toll, having a significant impact on psychological well-being. Despite work highlighting the link between previous epidemics and elevated suicide rates, there is limited research on the relationship between the COVID-19 pandemic and suicidal thoughts and behaviors. Utilizing an online survey, the current study aimed to better understand the presence, and extent, of the association between COVID-19-related experiences and past-month suicidal thoughts and behaviors among adults in the United States recruited via Amazon Mechanical Turk (n = 907). Results support an association between several COVID-19-related experiences (i.e., general distress, fear of physical harm, effects of social distancing policies) and past-month suicidal ideation and suicide attempts. Further, a significant proportion of those with recent suicidal ideation explicitly link their suicidal thoughts to COVID-19. Exploratory analyses highlight a potential additional link between COVID-19 and suicidal behavior, suggesting that a portion of individuals may be intentionally exposing themselves to the virus with intent to kill themselves. These findings underscore the need for suicide risk screening and access to mental health services during the current pandemic. Particular attention should be paid to employing public health campaigns to disseminate information on such services to reduce the enormity of distress and emotional impairment associated with COVID-19 in the United States.Learning health systems use data to generate knowledge that informs clinical care, but few studies have evaluated how to leverage patient-reported mental health symptoms and substance use data to make patient-specific predictions. We developed a general Bayesian prediction algorithm that uses self-reported psychiatric symptoms and substance use within a population to predict future symptoms and substance use for individuals in that population. We validated our approach in 2444 participants from two clinical cohorts – the National Network of Depression Centers and the Johns Hopkins HIV Clinical Cohort – by predicting symptoms of depression, anxiety, and mania as well as alcohol, heroin, and cocaine use and comparing our predictions to observed symptoms and substance use. When we dichotomized mental health symptoms as moderate-severe vs. none-mild, individual predictions yielded areas under the ROC curve (AUCs) of 0.84 [95% confidence interval 0.80-0.88] and 0.85 [0.82-0.88] for symptoms of depression in the two cohorts, AUCs of 0.84 [0.79-0.88] and 0.85 [0.82-0.88] for symptoms of anxiety, and an AUC of 0.77 [0.72-0.82] for manic symptoms. Predictions of substance use yielded an AUC of 0.92 [0.88-0.97] for heroin use, 0.90 [0.82-0.97] for cocaine use, and 0.90 [0.88-092] for alcohol misuse. This rigorous, mathematically grounded approach could provide patient-specific predictions at the point of care. It can be applied to other psychiatric symptoms and substance use indicators, and is customizable to specific health systems. Such approaches can realize the potential of a learning health system to transform ever-increasing quantities of data into tangible guidance for patient care.

Holocaust victims experienced extreme physical and mental stress that could lead to prolonged deficits in psychological and physiological well-being. We aimed to examine whether exposure to Holocaust conditions is associated with cognitive function and decline in a sample of old male adults with coronary heart disease (CHD).

The sample included 346 individuals with CHD who participated in a clinical trial in 1990-1997 (mean age 56.7±6.5y). During 2004-2008 (mean age 71.8±6.5y) and 2011-2013 (mean age 77.1±6.4y) participants underwent computerized cognitive assessments. Exposure to Holocaust conditions was based on self-report at the second assessment. Linear regression and mixed-effect models were conducted to evaluate the associations between Holocaust survivorship and subsequent cognitive performance and rate of cognitive decline.

Forty-Three participants (12%) survived concentration camps/ghettos, 69 (20%) were Holocaust survivors who escaped concentration camps/ghettos, and 234 (68%) were not Holocaer in old-adults with CHD.For people with chronic illnesses in low-and-middle-income countries, access to enabling resources that contribute to health, economic and social resilience such as continued employment, often fall outside the health sector’s remit or delivery of national structural protection. In the absence of sufficient laws and policies that mitigate discrimination and enhance reasonable work modifications, private employers have a high degree of agency and discretion in how they hire, manage, or terminate employees with chronic illnesses (ECI). There is a scarcity of research on how employers make decisions under these conditions. Using a constructivist grounded theory approach, we interviewed and analysed data from 30 human resource (HR) professionals and decision-makers within private organisations in Klang Valley, Malaysia (June 2015-September 2016). In this paper, we use ‘ethics of care’ as an analytic, and moral lens to present HR’s decision-making rationales in caring for and managing ECI. Respondents described the positive influence of international practices, including through parent company policies, as a reference for best practice.