Abnormalities in the hippocampus have been implicated in the pathophysiology of psychosis. However, it is still unclear whether certain abnormalities are a pre-existing vulnerability factor, a sign of disease progression or a consequence of environmental factors. We hypothesized that first-episode psychosis patients who progress to schizophrenia after one year of follow up will display greater volumetric and morphological changes from the very beginning of the disorder.

We studied the hippocampus of 41 patients with a first-episode psychosis and 41 matched healthy controls. MRI was performed at the time of the inclusion in the study. After one year, the whole sample was reevaluated and divided in two groups depending on the diagnoses (schizophrenia vs. non-schizophrenia).

Patients who progressed to schizophrenia showed a significantly smaller left hippocampus volume than control group and no-schizophrenia group (F = 3.54; df = 2, 77; P = 0.03). We also found significant differences in the morphology of the anterior hippocampus (CA1) of patients with first-episode psychosis who developed schizophrenia compared with patients who did not.

These results are consistent with the assumption of hyperfunctioning dopaminergic cortico-subcortical circuits in schizophrenia, which might be related with an alteration of subcortical structures, such as the hippocampus, along the course of the disease. According with these results, hippocampus abnormalities may serve as a prognostic marker of clinical outcome in patients with a first-episode psychosis.

The catechol-O-methyltransferase (COMT) gene is related to dopamine degradation and has been suggested to be involved in the pathogenesis of major depressive disorder (MDD). However, how this gene affects brain function properties in MDD is still unclear.

Fifty patients with MDD and 35 cognitively normal participants underwent a resting-state functional magnetic resonance imaging scan. A voxelwise and data-drive global functional connectivity density (gFCD) analysis was used to investigate the main effects and the interactions of disease states and COMT rs4680 gene polymorphism on brain function.

We found significant group differences of the gFCD in bilateral fusiform area (FFA), post-central and pre-central cortex, left superior temporal gyrus (STG), rectal and superior temporal gyrus and right ventrolateral prefrontal cortex (vlPFC); abnormal gFCDs in left STG were positively correlated with severity of depression in MDD group. Significant disease × COMT interaction effects were found in the bilateral calcarine gyrus, right vlPFC, hippocampus and thalamus, and left SFG and FFA. Further post-hoc tests showed a nonlinear modulation effect of COMT on gFCD in the development of MDD. Interestingly, an inverted U-shaped modulation was found in the prefrontal cortex (control system) but U-shaped modulations were found in the hippocampus, thalamus and occipital cortex (processing system).

Our study demonstrated nonlinear modulation of the interaction between COMT and depression on brain function. These findings expand our understanding of the COMT effect underlying the pathophysiology of MDD.

Remote monitoring of mood disorders may be an effective and low resource option for patient follow-up, but relevant evidence remains very limited. This study explores real-life compliance and health services impacts of mood monitoring among patients with bipolar disorder in the UK.

Patients with a diagnosis of bipolar disorder who were registered users of the True Colours monitoring system for at least 12 months at study assessment were included in this retrospective cohort study (n = 79). Compliance was measured as the proportion of valid depression and mania scale messages received in comparison to their expected numbers over the first 12 months of monitoring. Mental health service use data were extracted from case notes, costed using national unit costs, and compared 12 months before (pre-TC period) and 12 months after (TC period) patients’ engagement with monitoring. Associations with relevant patient factors were investigated in a multiple regression model.

Average compliance with monitoring was 82%. Significant increases in the annual use and costs of psychiatrist contacts and total mental health services were shown for patients newly referred to the clinic during the pre-TC period but not for long-term patients of the clinic. Psychiatric medication costs increased significantly between the pre-TC and TC periods (£ 235, P = 0.005) unrelated to patients’ referral status.

Remote mood monitoring has good compliance among consenting patients with bipolar disorder. We found no associations between observed changes in mental health service costs and the introduction of monitoring except for the increase in psychiatric medication costs.

While there is suggestion that early onset of psychosis is a determinant of outcome; knowledge regarding correlates of later onset age is more limited. This study explores the characteristics of patients developing psychosis after age 26, towards the end of the usual age range of early intervention programs, in order to identify potential specific needs of such patients.

Two hundred and fifty-six early psychosis patients aged 18–35 were followed-up prospectively over 36 months. Patients with onset after 26 (“later onset”, LO) were compared to the rest of the sample.

LO patients (32% of the sample) had shorter DUP, were less likely to be male, had better premorbid functioning and were more likely to have been exposed to trauma. They had greater insight at presentation and less negative symptoms overall. The trajectories for positive and depressive symptoms were similar in both groups. Evolution of functional level was similar in both groups, but while LO patients recovered faster, they were significantly less likely to return to premorbid functional level.

Later psychosis onset correlates with better premorbid functioning and higher rate of trauma exposure; the latter should therefore be a treatment focus in such patients. LO patients were less likely to return to premorbid functional level, which suggests that current treatment strategies may not be efficient to help patients maintain employment. The possibility of distinct illness mechanisms according to onset age and the more central role for trauma in patients with onset after age 26 needs to be further explored.

The aim of this study was to critically examine the prognostic validity of various clinical high-risk (CHR) criteria alone and in combination with additional clinical characteristics.

A total of 188 CHR positive persons from the region of Zurich, Switzerland (mean age 20.5 years; 60.2% male), meeting ultra high-risk (UHR) and/or basic symptoms (BS) criteria, were followed over three years. The test battery included the Structured Interview for Prodromal Syndromes (SIPS), verbal IQ and many other screening tools. Conversion to psychosis was defined according to ICD-10 criteria for schizophrenia (F20) or brief psychotic disorder (F23).

Altogether n = 24 persons developed manifest psychosis within three years and according to Kaplan–Meier survival analysis, the projected conversion rate was 17.5%. The predictive accuracy of UHR was statistically significant but poor (area under the curve [AUC] = 0.65, P < .05), whereas BS did not predict psychosis beyond mere chance (AUC = 0.52, P = .730). Sensitivity and specificity were 0.83 and 0.47 for UHR, and 0.96 and 0.09 for BS. UHR plus BS achieved an AUC = 0.66, with sensitivity and specificity of 0.75 and 0.56. In comparison, baseline antipsychotic medication yielded a predictive accuracy of AUC = 0.62 (sensitivity = 0.42; specificity = 0.82). A multivariable prediction model comprising continuous measures of positive symptoms and verbal IQ achieved a substantially improved prognostic accuracy (AUC = 0.85; sensitivity = 0.86; specificity = 0.85; positive predictive value = 0.54; negative predictive value = 0.97).

We showed that BS have no predictive accuracy beyond chance, while UHR criteria poorly predict conversion to psychosis. Combining BS with UHR criteria did not improve the predictive accuracy of UHR alone. In contrast, dimensional measures of both positive symptoms and verbal IQ showed excellent prognostic validity. A critical re-thinking of binary at-risk criteria is necessary in order to improve the prognosis of psychotic disorders.

Obsessive-compulsive disorder (OCD) is a highly disabling condition, with frequent early onset. Adult/adolescent OCD has been extensively investigated, but little is known about prevalence and clinical characterization of geriatric patients with OCD (G-OCD = 65 years). The present study aimed to assess prevalence of G-OCD and associated socio-demographic and clinical correlates in a large international sample.

Data from 416 outpatients, participating in the ICOCS network, were assessed and categorized into 2 groups, age < vs = 65 years, and then divided on the basis of the median age of the sample (age < vs = 42 years). Socio-demographic and clinical variables were compared between groups (Pearson Chi-squared and t tests).

G-OCD compared with younger patients represented a significant minority of the sample (6% vs 94%, P < .001), showing a significantly later age at onset (29.4 ± 15.1 vs 18.7 ± 9.2 years, P < .001), a more frequent adult onset (75% vs 41.1%, P < .001) and a less frequent use of cognitive-behavioural therapy (CBT) (20.8% vs 41.8%, P < .05). Female gender was more represented in G-OCD patients, though not at a statistically significant level (75% vs 56.4%, P = .07). When the whole sample was divided on the basis of the median age, previous results were confirmed for older patients, including a significantly higher presence of women (52.1% vs 63.1%, P < .05).

G-OCD compared with younger patients represented a small minority of the sample and showed later age at onset, more frequent adult onset and lower CBT use. Age at onset may influence course and overall management of OCD, with additional investigation needed.

Smoking is associated with high healthcare resource utilisation and cost to society. Patients with major depressive disorder (MDD) exhibit high susceptibility to nicotine dependence. Varenicline, bupropion and nicotine replacement therapy are all indicated for smoking cessation; however funding by the Spanish national health system (SNHS) is limited. We modelled a budgetary impact analysis (BIA) to estimate the impact of the SNHS funding drug-based therapies for smoking cessation in smokers with MDD.

The BIA compared the current unfunded scenario versus a funded scenario (varenicline, bupropion, nicotine replacement therapy combined with medical follow-up and counselling) using the Spanish SNHS and societal perspectives. The BIA design was a hybrid model using a decision tree algorithm (population size: smokers with MDD) and Markov chains (smoking cessation attempts) over a 5-year horizon. Smoking cessation drug efficacy was derived from clinical trials, and smoking cessation costs avoided were taken from an analysis of the Spanish National Health Survey. Results were shown as incremental cost savings. Scenarios and threshold univariate sensitivity analyses tested model robustness.

The funded scenario resulted in an increase of 43,478 cessation attempts and 8930 fewer smokers after 5 years compared to the unfunded scenario. The cost of funding was €25.3 million and costs avoided were €26.5 million. There was a cumulative 5-year incremental cost saving of €1.2 million to Spanish society. Results were robust using alternative scenarios.

Funding smoking cessation drugs in patients with MDD is of economic benefit to Spain and could produce net savings from the third year of implementation.

Higher lifetime antipsychotic exposure has been associated with poorer cognition in schizophrenia. The cognitive effects of adjunctive psychiatric medications and lifetime trends of antipsychotic use remain largely unclear. We aimed to study how lifetime and current benzodiazepine and antidepressant medications, lifetime trends of antipsychotic use and antipsychotic polypharmacy are associated with cognitive performance in midlife schizophrenia.

Sixty participants with DSM-IV schizophrenia from the Northern Finland Birth Cohort 1966 were examined at 43 years of age with an extensive cognitive test battery. Cumulative lifetime and current use of psychiatric medications were collected from medical records and interviews. The associations between medication and principal component analysis-based cognitive composite score were analysed using linear regression.

Lifetime cumulative DDD years of benzodiazepine and antidepressant medications were not significantly associated with global cognition. Being without antipsychotic medication (for minimum 11 months) before the cognitive examination was associated with better cognitive performance (P = 0.007) and higher lifetime cumulative DDD years of antipsychotics with poorer cognition (P = 0.020), when adjusted for gender, onset age and lifetime hospital treatment days. Other lifetime trends of antipsychotic use, such as a long antipsychotic-free period earlier in the treatment history, and antipsychotic polypharmacy, were not significantly associated with cognition.

Based on these naturalistic data, low exposure to adjunctive benzodiazepine and antidepressant medications does not seem to affect cognition nor explain the possible negative effects of high dose long-term antipsychotic medication on cognition in schizophrenia.

There is contradictory evidence regarding negative memory biases in major depressive disorder (MDD) and whether these persist into remission, which would suggest their role as vulnerability traits rather than correlates of mood state. Early life stress (ELS), common in patients with psychiatric disorders, has independently been associated with memory biases, and confounds MDD versus control group comparisons. Furthermore, in most studies negative biases could have resulted from executive impairments rather than memory difficulties per se.

To investigate whether memory biases are relevant to MDD vulnerability and how they are influenced by ELS, we developed an associative recognition memory task for temporo-spatial contexts of social actions with low executive demands, which were matched across conditions (self-blame, other-blame, self-praise, other-praise). We included fifty-three medication-free remitted MDD (25 with ELS, 28 without) and 24 healthy control (HC) participants without ELS.

Only MDD patients with ELS showed a reduced bias (accuracy/speed ratio) towards memory for positive vs. negative materials when compared with MDD without ELS and with HC participants; attenuated positive biases correlated with number of past major depressive episodes, but not current symptoms. There were no biases towards self-blaming or self-praising memories.

This demonstrates that reduced positive biases in associative memory were specific to MDD patients with ELS rather than a general feature of MDD, and were associated with lifetime recurrence risk which may reflect a scarring effect. If replicated, our results would call for stratifying MDD patients by history of ELS when assessing and treating emotional memories.

This study used longitudinal data to examine the influence of the religiosity of pre-adolescents with psychiatric problems on the course of mental health during adolescence.

In the TRAILS clinical cohort of 543 pre-adolescents (10–12 years), mental health problems were assessed using self-report at baseline, T2 (12–14 years), T3 (14–17 years), and T4 (17–21 years). The Youth Self Report (YSR) was used at baseline, T2, and T3, and the Adult Self Report (ASR) was used at T4. Religiosity was assessed at baseline using self-report and information from mothers and fathers, resulting in three categorical religiosity variables and six SOCON (Social Cultural Developments Questionnaire) religiosity scales that assess religiosity in greater detail. Repeated measure ANOVA analyses were performed for each independent religiosity variable with internalizing and externalizing problem behavior as dependent variables, gender as a factor and time (T1, T2, T3 and T4) as within factor. Results were adjusted for marital status of parents and socioeconomic status and corrected for multiple testing.

There were main effects of the self-report SOCON scale “Humanistic beliefs” and gender and gender “by Humanistic beliefs” interaction effect on internalizing problems. Follow-up tests revealed that among females “high” scores on “Humanistic beliefs” were associated with increased internalizing problems.

There were hardly any associations between religiosity and mental health in a clinical cohort of pre-adolescents up to adolescence. The exception being that among females strong humanistic beliefs were associated with internalizing problems. Implications of these findings are discussed.

Although a number of studies have examined the relationship between depression and obesity, it is still insufficient to establish the specific pattern of relationship between depression and body mass index (BMI) categories. Thus, this study was aimed to investigate the relationship between depression and BMI categories.

A cross-sectional study was conducted for a cohort of 159,390 Korean based on Kangbuk Samsung Health Study (KSHS). Study participants were classified into 5 groups by Asian-specific cut-off of BMI (18.5, 23, 25 and 30 kg/m2). The presence of depression was determined by Center for Epidemiologic Studies-Depression scales (CES-D) = 16 and = 25. The adjusted odd ratios (ORs) for depression were evaluated by multiple logistic regression analysis, in which independent variable was 5 categories of BMI and dependent variable was depression. Subgroup analysis was conducted by gender and age.

When normal group was set as a reference, the adjusted ORs for depression formed U-shaped pattern of relationship with BMI categories [underweight: 1.31 (1.14–1.50), overweight: 0.94 (0.85–1.04), obese group: 1.01 (0.91–1.12), severe obese group: 1.28 (1.05–1.54)]. This pattern of relationship was more prominent in female and young age group than male and elderly subgroup. BMI level with the lowest likelihood of depression was 18.5 kg/m2 to 25 kg/m2 in women and 23 kg/m2 to 25 kg/m2 in men.

There was a U-shaped relationship between depression and BMI categories. This finding suggests that both underweight and severe obesity are associated with the increased risk for depression.

Multimorbidity may impose an overwhelming burden on patients with psychosis and is affected by gender and age. Our aim is to study the independent role of familial liability to psychosis as a risk factor for multimorbidity.

We performed the study within the framework of the Genetic Risk and Outcome of Psychosis (GROUP) project. Overall, we compared 1024 psychotic patients, 994 unaffected siblings and 566 controls on the prevalence of 125 lifetime diseases, and 19 self-reported somatic complaints. Multimorbidity was defined as the presence of two or more complaints/diseases in the same individual. Generalized linear mixed model (GLMM) were used to investigate the effects of gender, age (adolescent, young, older) and familial liability (patients, siblings, controls) and their interactions on multimorbidity.

Familial liability had a significant effect on multimorbidity of either complaints or diseases. Patients had a higher prevalence of multimorbidity of complaints compared to siblings (OR 2.20, 95% CI 1.79–2.69, P < 0.001) and to controls (3.05, 2.35–3.96, P < 0.001). In physical health multimorbidity, patients (OR 1.36, 95% CI 1.05–1.75, P = 0.018), but not siblings, had significantly higher prevalence than controls. Similar finding were observed for multimorbidity of lifetime diseases, including psychiatric diseases. Significant results were observed for complaints and disease multimorbidity across gender and age groups.

Multimorbidity is a common burden, significantly more prevalent in patients and their unaffected siblings. Familial liability to psychosis showed an independent effect on multimorbidity; gender and age are also important factors determining multimorbidity.

Neuropsychological deficits are of major importance in ADHD, yet no previous studies have assessed clinically referred samples of older adults. The authors compared older adults with ADHD (60–75 years) with both younger adults with ADHD (18–45 years) and older healthy controls with regard to various neuropsychological deficits.

Well-established tests were used to investigate working memory, inhibition, switching, planning, fluency, and speed of processing. Self-ratings of executive functioning and delay-related behaviors were also included. Both variable-oriented and person-oriented analyses were conducted.

Older adults with ADHD differed from controls with regard to working memory, inhibition, switching, and delay-related behaviors. In comparison to younger adults with ADHD, they performed at a similar level with regard to working memory and planning, but significantly better with regard to inhibition, switching, fluency, speed of processing, and delay aversion. Despite several significant group differences relative to controls, person-oriented analyses demonstrated that a majority of older adults with ADHD performed within the average range on each test and 20% showed no clear deficit within any neuropsychological domain.

The results are in line with models of heterogeneity that have identified different neuropsychological subtypes in ADHD as well as a subgroup of patients without any clear neuropsychological deficits. For older adults with ADHD, it will be important to assess their functioning across time as normal aging is related to memory decline and these patients could therefore end up with severe deficits as they grow older, which in turn could have serious negative effects on daily life functioning.

We conducted a matched-cohort study to assess mortality in schizophrenia and the relationship of mortality with comorbid somatic conditions and suicide attempts.

A full-population register-based prospective matched-cohort study was performed including all eligible patients with schizophrenia in Hungary between 01/01/2005 and 31/12/2013. Control subjects were individually matched to patients with schizophrenia at a 5:1 ratio. The principal outcome measure was death due to any reason. A non-parametric approach was used for descriptive statistical purposes, the Kaplan-Meier model for survival analysis, and the Cox proportional-hazards regression model for inferential statistics.

Patients with schizophrenia (n = 65,169) had substantially higher risk of all-cause mortality than the control subjects (n = 325,435) (RR = 2.4; P < 0.0001). Comorbidities and suicide attempts were associated with significantly increased mortality in both groups. As compared to the controls, 20-year old males with schizophrenia had a shorter life expectancy by 11.5 years, and females by 13.7 years; the analogous numbers for 45-year old schizophrenics were 8.1 and 9.6 years, respectively.

A significant mortality gap – mainly associated with somatic comorbidities – was detected between patients with schizophrenia and individually matched controls. Improved medical training to address the disparity in mortality, and many other factors including lack of resources, access to and model of medical care, lifestyle, medication side effects, smoking, stigma, need for early intervention and adequate health care organization could help to better address the physical health needs of patients with schizophrenia.

Short-lived psychotic disorders are currently classified under “acute and transient psychotic disorders” (ATPDs) in ICD-10, and “brief psychotic disorder” (BPD) in DSM-5. This study's aim is to review the literature and address the validity of ATPDs and BPD.

Papers published between January 1993 and December 2016 were identified through searches in Web of Science. Reference lists in the located papers provided further sources.

A total of 295 articles were found and 100 were included in the review. There were only a few studies about the epidemiology, vulnerability factors, neurobiological correlates and treatment of these disorders, particularly little interest seems to exist in BPD. The available evidence suggests that short-lived psychotic disorders are rare conditions and more often affect women in early to middle adulthood. They also are neither associated with premorbid dysfunctions nor characteristic family predisposition, while there seems to be greater evidence of environmental factors particularly in developing countries and migrant populations. Follow-up studies report a favourable clinical and functional outcome, but case identification has proved difficult owing to high rates of transition mainly either to schizophrenia and related disorders or, to a lesser extent, affective disorders over the short- and longer-terms.

Although the lack of neurobiological findings and little predictive power argue against the validity of the above diagnostic categories, it is important that they are kept apart from longer-lasting psychotic disorders both for clinical practice and research. Close overlap between ATPDs and BPD could enhance the understanding of these conditions.

Recently, a triple-network model suggested the abnormal interactions between the executive-control network (ECN), default-mode network (DMN) and salience network (SN) are important characteristics of addiction, in which the SN plays a critical role in allocating attentional resources toward the ECN and DMN. Although increasing studies have reported dysfunctions in these brain networks in Internet gaming disorder (IGD), interactions between these networks, particularly in the context of the triple-network model, have not been investigated in IGD. Thus, we aimed to assess alterations in the inter-network interactions of these large-scale networks in IGD, and to associate the alterations with IGD-related behaviors.

DMN, ECN and SN were identified using group-level independent component analysis (gICA) in 39 individuals with IGD and 34 age and gender matched healthy controls (HCs). Then alterations in the SN-ECN and SN-DMN connectivity, as well as in the modulation of ECN versus DMN by SN, using a resource allocation index (RAI) developed and validated previously in nicotine addiction, were assessed. Further, associations between these altered network coupling and clinical assessments were also examined.

Compared with HCs, IGD had significantly increased SN-DMN connectivity and decreased RAI in right hemisphere (rRAI), and the rRAI in IGD was negatively associated with their scores of craving.

These findings suggest that the deficient modulation of ECN versus DMN by SN might provide a mechanistic framework to better understand the neural basis of IGD and might provide novel evidence for the triple-network model in IGD.

Cognitive impairment is a familial and heritable aspect of major psychoses and might be a shared vulnerability marker for schizophrenia and BP. However, it is not clear whether some aspects of cognitive deficits are uniquely associated with risk for specific diagnoses.

A novel meta-analysis of cognitive functions in first-degree relatives of probands with bipolar disorder (BP-Rel) and schizophrenia (Sch-Rel) was conducted. Current meta-analysis included 20 studies and compared cognitive functions of 1341 Sch-Rel, 939 BP-Rel and 1427 healthy controls.

Sch-Rel was associated with cognitive deficits in all domains (d = 0.20–0.58) and BP-Rel underperformed healthy controls in processing speed, verbal fluency and speed based executive function tests (d = 0.33–0.41). Sch-Rel underperformed BP-Rel in general intellectual ability, working memory, verbal memory, planning, processing speed and fluency (d = 0.24–0.42).

Inefficiency in processing information and impaired processing speed might be common vulnerability factors for major psychoses. On the other hand, low performance in accuracy based tasks and deficits in general intellectual ability, verbal learning, planning and working memory might be more specifically associated with risk for schizophrenia.

Several studies suggested that anxiety can significantly affect the outcome of schizophrenia. Despite this evidence, non-pharmacological interventions targeting anxiety are still heterogenous. This study aims to test the efficacy of a novel training specifically designed to target anxiety in patients with schizophrenia. Innovatively, this training, beyond psychoeducation and problem solving, also targets Theory of Mind, as it provides coping strategies.

Twenty-seven outpatients with schizophrenia received a novel rehabilitative training targeting anxiety (Anxiety Management Group [AMG]) combined with a Computer-Assisted Cognitive Remediation (CACR), and twenty received CACR plus a control intervention (Control Newspaper discussion Group [CNG]). All patients were assessed at baseline and after treatment for quality of life, neurocognition and anxiety.

After training, patients treated with AMG + CACR showed significantly greater improvements on anxiety. A significant increase in quality of life was observed only for AMG + CACR group. Moreover, the participants’ appraisal showed a significant difference between treatment groups with higher ratings among patients who received the AMG + CACR.

This study thus suggests feasibility and efficacy of the proposed intervention, that could be implemented in rehabilitative programs for patients with schizophrenia with potential benefits also on disease course and outcome.

Dysfunctions in metacognition have been reported in individuals with anxiety disorders. Although recent studies have examined metacognition in other disorders, how dysfunctional metacognition compares across disorders is not clear. This review aimed to ascertain the importance of dysfunctional metacognition in various psychopathologies, and to identify similarities and differences in metacognitive profiles across disorders.

Forty-seven studies were selected from 586 articles published between 1990 and August 2015, including a total sample of 3772 patients and 3376 healthy individuals. Studies that measured metacognition using the Meta-Cognitions Questionnaire (MCQ) and its variants were included. We conducted five meta-analyses including 49 to 55 effect sizes, comparing psychiatric patients to healthy individuals on respective metacognitive dimensions of the MCQ.

We found elevated metacognitive dysfunctions in patients, as a group, on all MCQ dimensions. Group effects were large and robust for the two negative beliefs (i.e., beliefs about the uncontrollability and danger of thoughts, and beliefs about the need to control thoughts), and moderate and unstable for the positive beliefs. Patients showed decreased cognitive confidence and heightened cognitive self-consciousness on moderate to large levels. Moderator analyses revealed that negative beliefs about uncontrollability and danger of thoughts were most prevalent in generalized anxiety disorder, whereas heightened cognitive self-consciousness was more characteristic in obsessive-compulsive disorder. Generalized anxiety disorder, obsessive-compulsive disorder and eating disorders manifested more similar metacognitive profiles than other disorders.

Our findings supported dysfunctional metacognition as common processes across psychopathologies, with certain dimensions being more prevalent in particular disorders.