To investigate the relationship between self-reported everyday memory problems the last month, and (a) shift work schedule, (b) night shifts and quick returns worked the last year, and (c) sleep duration the last month. In all, 1,275 nurses completed the Everyday Memory Questionnaire - revised, and answered questions about shift work exposure and sleep duration. We performed multiple linear regression analyses with memory score as dependent variable, and the shift work exposure variables as well as sleep duration as predictors, while adjusting for potential confounders. High exposure to quick returns (β=.10, p < .05) and short sleep duration (β=.10, p < .05) were both positively associated with memory problems, whereas shift work schedule, long sleep duration, night shift exposure, and low and moderate exposure to quick returns were not. Frequent insufficient time for rest between shifts as well as short sleep was associated with poorer everyday memory.Frequent insufficient time for rest between shifts as well as short sleep was associated with poorer everyday memory.For decades, we have known from autopsy observations that the proximate cause of the majority of acute coronary syndromes ( ACS) is occlusive thrombosis generated by plaque rupture or, less frequently, superficial erosion. Patients with ACS caused by plaque erosion seem to have a better long-term prognosis compared to those with plaque rupture, and may be stabilized by dual antiplatelet therapy without the need for stenting in a non-trivial proportion of cases, limiting the expenses and potential complications of invasive procedures. The accurate prediction of plaque erosion and the identification of specific biomarkers that could be used at the point-of-care without the need of invasive imaging would take us a step closer to the holy grail of precision medicine in patients with ACS.Drop-out from follow-up visits carries significant burden for people diagnosed with depression. The present study assesses multiple clinical moderators of drop-out among depressed outpatients. We retrospectively followed-up 131 outpatients over 6 months 78 major depressive disorder (MDD), and 53 bipolar disorder (BD-I = 24; BD-II = 29) patients diagnosed according to the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition. Participants were assessed with standard rating scales administered by experienced psychiatrists. Upon descriptive and Cox regression analyses, 17/53 BDs (32%) dropped-out; the overall survival time until drop-out was 57.94 ± 17.79 days. BD drop-outs were younger, had an earlier age at onset, shorter illness duration, lower rates of lifetime obsessive-compulsive disorder/suicidal behavior, higher rates of substance use disorder (SUD), anxious and mixed features of depression compared to BDs attending up to six months. Among MDD patients, 10/78 cases (13%) dropped-out by month-6 with an average survival of 42.40 ± 16.45 days. Earlier age of onset, younger age, positive family history for mood disorders, lower rates of lifetime generalized anxiety disorder were significantly more frequent among drop-outs than completers, as opposite to SUD, and lifetime recurrent depression. Older age predicted lower drop-out among BDs and MDDs, although with almost null hazard ratio (HR) = 0.928, p less then 0.01 vs. HR = 0.941, p less then 0.01, respectively. OSMI-1 ic50 Higher rates of lifetime SUD predicted higher drop-out rates by month-6 among MDDs (HR = 5.477, p = 0.02). Limitations of the study retrospective design, small sample size, lack of objective measures of treatment-adherence/mood rating during follow-up. Drop-out is common in the real-world setting, warranting specific interventions since the beginning of the treatment.In the broader list of cognitive concerns, neuropsychological testing has shown that attentional impairment may have a specific burden in Fibromyalgia Syndrome (FMS). Preliminary observations have reported a subset of FMS patient screened for attention disorders fulfilling the actual diagnosis of ADHD, a neurodevelopmental disorder characterized by developmentally inadequate levels of inattention, hyperactivity and impulsivity that might persist in adulthood. Yet, no study to date has systematically examined the history and the specific contribution of ADHD to FMS in terms of clinical impact and related specific disabilities. In this study, 106 individuals with a FMS diagnosis based on the 2010 criteria of the American College of Rheumatology have been assessed for (a) the presence of ADHD; (b) the burden of disability caused by ADHD versus FMS; (c) the presence of other psychiatric disorders. Results indicated that ADHD was present in 24.5% of FMS individuals, it was associated with higher FMS symptoms severity and a greater functional impairment, particularly in the work/school domain. Moreover, patients with both FMS and ADHD had higher frequency of substance use disorders than those with FMS only (38.5% versus 3.8%) and mainly opioids. Overall, results suggest that ADHD can increase burden adding specific disability in work and social activities, and it is associated with a trend for the excessive use of opioid painkillers. Detection of neurodevelopmental and actual symptoms of ADHD is highly recommended especially in patient prone to increase the dose of anti-pain medication.The association between obesity and attention-deficit hyperactivity disorder (ADHD) has been extensively reported in the literature. However, the potential mechanisms underlying this association are not completely understood. This study aimed to evaluate the association between body composition and ADHD and explore the possible genetic mechanisms involved. We used data from the 1982 Pelotas (Brazil) Birth Cohort at age 30-year follow-up (N = 3630). We first used logistic regression analysis to test whether body mass index (BMI), fat mass (FM), and fat-free mass (FFM) were associated with ADHD. We further tested the association between BMI polygenic risk score (BMI-PRS) and ADHD and the role of the genes upregulated in the reward system using a gene-set association approach. BMI (odds ratio [OR] = 1.05; 95% confidence interval [CI], 1.00-1.09; p = 0.038) and FM (OR = 1.04; 95% CI, 1.00-1.07; p = 0.043) were associated with ADHD. The BMI-PRS was associated with ADHD (using p-value threshold (PT) = 0.4; OR = 1.65; 95% CI, 1.