We aimed to estimate the prevalence of current mental disorders in the Czech population, and to identify associated disability.

We conducted a representative cross-sectional household survey of the Czech adult, community-dwelling population. We used the Mini International Neuropsychiatric Interview (M.I.N.I.), WHO Disability Assessment Schedule (WHODAS) 2.0, and Self-Identification as Mentally Ill (SELFI) scale alongside sociodemographic and other covariates. We reached 75% response rate. Descriptive statistics of the sample were assessed and median (M) disability levels with interquartile range (IQR) according diagnosis were calculated on a scale ranging from 12 to 50. Linear regression models were used to identify factors associated with disability.

In our sample of 3 306 participants,21.9% experienced a mental disorder in 2017. Prevalence rates for mood, anxiety, alcohol use, non-alcohol substance use, and psychotic disorders corresponded to 5.5%, 7.3%, 10.8%,2.9%, and1.5%respectively. Alcoholdependencewasidentifiedin6.6%,andmajordepressionin4.0%of the sample. Disability in the general population was significantly lower (M = 12; IQR = 12, 17) than in those with mood (M = 20; IQR = 14; 29), anxiety (M = 18; IQR = 13; 26), alcohol use (M = 14; IQR = 12; 18), non- alcohol substance use (M = 15; IQR = 12; 19), or psychotic disorders (M = 22; IQR = 16.4; 29.4).

People with mental disorders have considerably elevated disability in comparison to mentally healthy participants. The prevalence of mental disorders in the Czech Republic is mostly in line with European prevalence rates but it is lower for anxiety disorders and two times higher for alcohol use disorders.

Although pharmacogenetics for major depressive disorder (MDD) is gaining momentum, the role of genetics in differences in response to antidepressant treatment is controversial, as they depend on multifactorial and polygenic phenotypes. Previous studies focused on the genes of the serotonergic system, leaving apart other pathological factors such as the inflammatory pathway. The main objective of the study was to assess whether treatment response might be associated with specific inflammation-related genetic variants or their methylation status.

41 SNPs in 8 inflammatory genes: interleukin (IL) 1-β, IL2, IL6, IL6R, IL10, IL18, tumor necrosis factor (TNF)-α and interferon (IFN)-γ were genotyped in 153 patients with MDD, who were evaluated with the Mausdley Staging Method to determine treatment response profiles. Pyrosequencing reactions and methylation quantification were performed in a PyroMark Q24 in 5 selected CpG islands of IL1- β, IL6 and IL6R. Linear and logistic regression analyses were conducted, including age and gender as covariates using PLINK 1.07.

Allelic distribution of IL1- β rs1143643 was significantly associated with MSM scores (FDR corrected p = 0.04). Allelic distribution of IL6R rs57569414 showed a trend towards significance with MSM scores (p = 0.002; FDR corrected p = 0.07). Haplotype analyses showed associations between allelic combinations of IL1-β and IL10 with treatment response (FDR corrected p < 0.01). Methylation percentage of treatment responders was only higher in an IL6R CpG island (p < 0.05).

These exploratory findings suggest that IL1-β and, marginally, IL6R polymorphisms may affect treatment response in major depression. If confirmed, these results may account for the heterogeneous phenotypes of major depression that underlie differences in treatment response.

Occupational participation is important for personality disordered offenders (PDOs) because it is integral to health and desistance from offending. What influences occupational participation is unknown for PDOs in the community, limiting effective intervention to affect change. In England and Wales, the Offender Personality Disorder Pathway aims to improve outcomes for people considered highly likely to have a severe personality disorder and who present a high risk of reoffending, who are determined to be PDOs on the basis of a structured assessment. This study identified the influencers of occupational participation for the population who receive this service.

In this critical realist, qualitative study, narrative interviews were conducted with 18 PDOs supervised by probation in England. Transcripts were analyzed using a grounded theory approach to establish influencers of occupational participation.

Four themes describe influencers of occupational participation: function of occupations; influence of the past; external forces; and learning and adaptation. The latter theme reflected understandings of occupational adaptation described by the Model of Human Occupation.

An intervention to increase prosocial occupational participation should be developed and evaluated for PDOs in the community, taking account of occupational participation over the life course.

Life expectancy of people with depression is on average 15 years less than that of the general population. This excess of mortality is largely attributed to a deteriorated physical health. Evidence about the association between major depressive disorder (MDD) and physical health is still lacking in some areas. The aim of this study was to explore the association between MDD and physical health-related variables in southern Spain.

The PISMA-ep is a cross-sectional study based on community-dwelling adult population. Our main outcome was current prevalence of MDD. Independent variables explored were: lifetime prevalence of twenty-one chronic physical conditions (CPCs), anthropometric measures (height, weight, body max index, and hip and waist circumferences), general health status, and medication use.

MDD was significantly associated with any CPC (OR = 2.60; 95% CI: 2.01–3.35; p < 0.001). Increases in BMI were associated with MDD in women (OR=1.08; 95% CI: 1.05–1.11; p < 0.001), but not in men (OR=0.99; 95% CI: 0.95–1.05; p = 0.916). Variables associated with MDD in the multivariate model were: female gender, obesity, general health status, cancer, peptic ulcer, tinnitus and vertigo. 21.4% of participants with MDD received antidepressant treatment.

MDD is associated with CPCs, obesity, and increased use of medication. The high rates of comorbidity between MDD and CPCs call for a more holistic management of patients in the clinical practice. The low rate of antidepressant use may be indicating underdiagnosis. Anthropometric variables were differently associated with MDD depending on gender, suggesting a strong influence of psychosocial factors.

To estimate trajectories of the gambling disorder (GD) severity for 12 months following a manualized cognitive-behavior-therapy (CBT) program, and to identify the main variables associated with each trajectory.

Latent Class Growth Analysis examined the longitudinal changes of n = 603 treatment-seeking patients with GD.

Five separate empirical trajectories were identified: T1 (n = 383, 63.5%) was characterized by the most highest baseline gambling severity levels and positive progress to recovery during the follow-up period; T2 (n = 154, 25.5%) featured participants with high baseline gambling severity and good progress to recovery; T3 (n = 30, 5.0%) was made up of patients with high gambling baseline severity and slow progress to recovery; T4 (n = 13, 2.2%) and T5 (n = 23, 3.8%) contained participants with high baseline gambling severity and moderate (T4) and poor (T5) progress in GD severity during the follow-up. Psychopathological state and personality traits discriminated between trajectories. Poor compliance with the therapy guidelines and the presence of relapses also differed between the trajectories.

Our findings show that patients seeking treatment for GD are heterogeneous and that trends in progress following treatment can be identified considering sociodemographic features, psychopathological state and personality traits. These results could be useful in developing more efficient interventions for GD patients.

Current treatments for smoking cessation are not effective for most smokers. This study aims to examine the effectiveness of transcranial Direct Current Stimulation (tDCS) on smoking cessation.

In this randomized, sham-controlled trial study, tobacco-dependent (by DSM-5) male participants were recruited from the general public invitation. Participants were randomly allocated to 5 groups; (A), treatment with 300mg bupropion for 8 weeks; (B), active tDCS (20 sessions for 4 weeks); (C), sham for group B ; (D), active tDCS (20 sessions for 12 weeks), and (E), sham for group D. The electrode montage was anode F3 and cathode F4. Study outcomes include salivary cotinine, Fagerstrom test for nicotine dependence, and smoked cigarette per day, were examined on three time points. Repeated-measures analysis of variances and the generalized estimation equation (GEE) model were employed for data analysis.

Among 210 volunteers, 170 participants completed the study. Mean age of participants was 42.9 years, ranging from 21 to 64 years. The 6-month point abstinence rates in groups A, B and D were 20%, 7% and 25.7%, and in C, D sham groups were 3.1% and 3% respectively. Results of the GEE model showed that although group D was not different from group A in abstinence rate, i.e., salivary cotinine >4 (p = 0.266), nicotine dependency by Fagerstrom test was lower in this group compared to group A (p = 0.019).

The 12-week tDCS had a clinically good therapeutic effect on smoking cessation and its dependency. It may be a substitute for bupropion treatment.

Depression and chronic inflammatory medical conditions have been linked to impaired cognitive ability. However despite frequent comorbidity, their combined association with cognitive ability has rarely been examined.

This study examined associations between self-reported depression and chronic inflammatory diseases and their interaction with cognitive performance in 456,748 participants of the UK Biobank, adjusting for sociodemographic and lifestyle factors. Numbers with available data ranged from 94,899 to 453,208 depending on the cognitive test.

Self-reported depression was associated with poorer performance compared to controls in several cognitive tests (fully adjusted models, reaction time: B = 6.08, 95% CI = 5.09, 7.07; pairs matching: incidence rate ratio = 1.02, 95% CI = 1.02, 1.03; Trail Making Test B: B = 1.37, 95% CI = 0.88, 1.87; Digit Symbol Substitution Test (DSST): B = −0.35, 95% CI = −0.44, −0.27). Self-reported chronic inflammatory conditions were associated with slower reaction time (B = 3.79, 95% CI = 2.81, 4.78) and lower DSST scores (B = −0.21, 95% CI = −0.30, −0.13). No interaction effects were observed.

In this large, population-based study we provide evidence of lower cognitive performance in both depression and a comprehensive category of chronic inflammatory conditions. Results are consistent with additive effects of both types of disorder on cognitive ability. Clinicians should be aware of such effects, particularly as cognitive impairment is linked to poorer disease outcomes and quality of life.

Electroconvulsive therapy (ECT) is a highly effective treatment for severe psychiatric disorders. Despite its high efficacy, the use of ECT would be greater if the risk of cognitive side effects were reduced. Over the last 20 years, developments in ECT technique, including improvements in the dosing methodology and modification of the stimulus waveform, have allowed for improved treatment methods with reduced adverse cognitive effects. There is increasing evidence that the electrode placement is important for orienting the electrical stimulus and therefore modifying treatment outcomes, with potential for further improvement of the placements currently used in ECT.

We used computational modelling to perform an in-depth examination into regional differences in brain excitation by the ECT stimulus for several lesser known and novel electrode placements, in order to investigate the potential for an electrode placement that may optimise clinical outcomes.

High resolution finite element human head models were generated from MRI scans of three subjects. The models were used to compare regional differences in average electric field (EF) magnitude among a total of thirteen bipolar ECT electrode placements, i.e. three conventional placements as well as ten lesser known and novel placements.

In this exploratory study on a systemic comparison of thirteen ECT electrode placements, the EF magnitude at regions of interest (ROIs) was highly dependent upon the position of both electrodes, especially the ROIs close to the cortical surface. Compared to conventional right-unilateral (RUL) ECT using a temporo-parietal placement, fronto-parietal and supraorbito-parietal RUL also robustly stimulated brain regions considered important for efficacy, while sparing regions related to cognitive functions, and may be a preferrable approach to the currently used placement for RUL ECT. The simulations also found that regional average EF magnitude varied between individual subjects, due to factors such as head size, and results also depended on the size of the defined ROI.

Several observational studies have investigated the association of insomnia with psychiatric disorders. Such studies yielded mixed results, and whether these associations are causal remains unclear. Thus, we aimed to identify the causal relationships between insomnia and five major psychiatric disorders.

The analysis was implemented with six genome-wide association studies; one for insomnia and five for psychiatric disorders (attention-deficit/hyperactivity disorder, autism spectrum disorder, major depressive disorder, schizophrenia, and bipolar disorder). A heterogeneity in dependent instrument (HEIDI) approach was used to remove the pleiotropic instruments, Mendelian randomization (MR)-Egger regression was adopted to test the validity of the screened instruments, and bidirectional generalized summary data-based MR was performed to estimate the causal relationships between insomnia and these major psychiatric disorders.

We observed significant causal effects of insomnia on the risk of autism spectrum disorder and bipolar disorder, with odds ratios of 1.739 (95% confidence interval: 1.217–2.486, p = 0.002) and 1.786 (95% confidence interval: 1.396–2.285, p = 4.02 × 10−6), respectively. There was no convincing evidence of reverse causality for insomnia with these two disorders (p = 0.945 and 0.546, respectively). When insomnia was considered as either the exposure or outcome variable, causal estimates for the remaining three psychiatric disorders were not significant.

Our results suggest a causal role of insomnia in autism spectrum disorder and bipolar disorder. Future disease models should include insomnia as a factor for these two disorders to develop effective interventions. More detailed mechanism studies may also be inspired by this causal inference.

Neurotrophins such as brain-derived neurotrophic factor (BDNF), inflammation and oxidative damage may contribute to the pathophysiology of bipolar disorder (BD) in terms of illness activity. To date, there is a lack of studies linking the cognitive impairment observed in BD with these neurobiological mechanisms. This study aimed to investigate the role of these neurobiological factors in clinical and cognitive outcomes in a sample of bipolar individuals.

We measured serum BDNF, cytokines and oxidative stress markers in a sample of 133 individuals: 52 euthymic bipolar patients, 32 manic patients and 49 healthy controls. They were all assessed with a comprehensive cognitive battery. Sociodemographic and clinical data were collected. Multiple linear regression models were built to study associations of neurotrophins and inflammatory and oxidative measures with cognitive functioning.

BDNF levels were decreased in euthymic (p = 0.039) and manic (p < 0.001) individuals. Conversely, inflammatory (interleukin 6 (IL-6)) (p = 0.019) and oxidative stress (p = 0.003) measures were increased in bipolar individuals compared to controls. BDNF levels were associated with executive functioning (β = 0.01, p = 0.02) and verbal memory (β = 0.013, p = 0.005), together with other demographic variables. In particular, verbal memory was also associated with obesity (β=-0.04, p = 0.005). Neither inflammatory markers, oxidative stress markers nor other relevant clinical variables showed any association with cognitive outcome.

Of all the peripheral neurobiological factors analysed, BDNF was the only one significantly associated with cognitive dysfunction in bipolar disorder individuals. This study emphasizes the role of BDNF not only across mood phases but also in cognitive functioning.