Somatic multicomorbidity and disability in patients with psychiatric disorders in comparison to the general population: a quasi-epidemiological investigation in 54,826 subjects from 40 countries (COMET-G study).

BACKGROUND: The prevalence of medical illnesses is high among patients with psychiatric disorders. The current study aimed to investigate multi-comorbidity in patients with psychiatric disorders in comparison to the general population. Secondary aims were to investigate factors associated with metabolic syndrome and treatment appropriateness of mental disorders. METHODS: The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions. RESULTS: About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15-20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome. CONCLUSIONS: The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.

Embers of the Past: Early Childhood Traumas Interact with Variation in P2RX7 Gene Implicated in Neuroinflammation on Markers of Current Suicide Risk.

Both early childhood traumatic experiences and current stress increase the risk of suicidal behaviour, in which immune activation might play a role. Previous research suggests an association between mood disorders and P2RX7 gene encoding P2X7 receptors, which stimulate neuroinflammation. We investigated the effect of P2RX7 variation in interaction with early childhood adversities and traumas and recent stressors on lifetime suicide attempts and current suicide risk markers. Overall, 1644 participants completed questionnaires assessing childhood adversities, recent negative life events, and provided information about previous suicide attempts and current suicide risk-related markers, including thoughts of ending their life, death, and hopelessness. Subjects were genotyped for 681 SNPs in the P2RX7 gene, 335 of which passed quality control and were entered into logistic and linear regression models, followed by a clumping procedure to identify clumps of SNPs with a significant main and interaction effect. We identified two significant clumps with a main effect on current suicidal ideation with top SNPs rs641940 and rs1653613. In interaction with childhood trauma, we identified a clump with top SNP psy_rs11615992 and another clump on hopelessness containing rs78473339 as index SNP. Our results suggest that P2RX7 variation may mediate the effect of early childhood adversities and traumas on later emergence of suicide risk.

[The Hungarian adaptation of the Mental Health Quality of Life Questionnaire (MHQoL)]. / A Mentális Egészséggel Összefüggo Életminoség Kérdoív (MHQoL) magyar adaptációjának bemutatása.

Our study presents the Hungarian adaptation of the Mental Health Quality of Life Questionnaire (MHQoL). BACKGROUND: In recent decades, there has been a shift in the field of healthcare, with a notable change in the ultimate goal of health interventions. Rather than merely reducing symptoms and prolonging life, the objective of health interventions is now to improve quality of life. A number of measures of quality of life have been developed, but the majority of these focus exclusively on physical health and do not fully cover the dimensions that are relevant to the quality of life of people with mental health problems. Van Krugten et al. have developed the Mental Health Quality of Life (MHQoL) questionnaire, which covers the seven most important dimensions of mental health-related quality of life. OBJECTIVES: Our research had the following two main aims. Firstly, it aimed to develop and test a Hungarian adaptation of the Mental Health Quality of Life (MHQoL) questionnaire. Secondly, it aimed to compare the results of healthy individuals and those with diagnosed psychiatric disorders. METHODS: A total of 189 individuals participated in the survey, with 157 classified as psychiatrically healthy and 32 diagnosed with a mental disorder, of which 20 were in acute psychiatric care and 12 were in outpatient care. The data were analysed using confirmatory factor analysis, reliability analysis and independent samples t-test. RESULTS: Our confirmatoriy factor analysis indicated that all items show a good fit with the model. The factor weights for each item were observed to range from 0.45 to 0.79. The Cronbach's α index obtained in our reliability analysis of the MHQoL demonstrated exceptional internal reliability: an index value of 0.81, with individual item- specific reliability coefficients ranging from 0.7 to 0.81. Independent samples t-tests were conducted to assess the statistical significance of differences in mean scores between respondents with and without a psychiatric diagnosis. The results indicated that there were significant differences in the means of the two groups for items pertaining to future vision, mood, relationships and physical health, as well as when comparing the mean scores of the MHQoL total score and the mean scores of psychological well-being. The majority of variables exhibited statistically significant differences from each other, with medium effect sizes. CONCLUSIONS: The results thus far indicate that the Hungarian version of the MHQoL is an effective instrument for differentiating between individuals with and without mental illness, based on psychometric indicators. Furthermore, it provides valuable insights into the domains in which psychiatric illnesses have the greatest impact on patients' quality of life. The objective of our future research is to further validate the MHQoL questionnaire in order to contribute to the concept of healthcare that focuses not only on eliminating symptoms but also on improving quality of life.

Frequent Extrasystolic Arrhythmia: Perceived Psychological Well-Being Evaluation.

BACKGROUND: To estimate quality of life (QOL) in patients with frequent extrasystolic arrhythmia (ES) using the SF-36 Health Status Survey. MATERIALS AND METHODS: The patient group consisted of 634 individuals (42-79 y.o) with ES >700 per 24 hours, as diagnosed by Holter ECG, and the control group included 106 patients (38-79 y.o.) with ES <700 per 24 hours. None of the patients had atrial fibrillation. The "early" ES subgroup A (n=192) experienced ES preceding the transmitral blood flow peak in the cardiac cycle (peak E) according to pulsed wave Doppler in transthoracic echocardiography (EchoCG). The "late" subgroup B (n=442) had ES after the transmitral blood flow peak, irrespective of the electric topic localization. Laboratory and instrumental methods included standard lipidograms, Holter ECG, EchoCG, Doppler ultrasound of brachiocephalic arteries, and coronary angiography. For QOL evaluation, we used the SF-36 Health Status Survey. RESULTS: The patient groups did not differ with respect to main laboratory findings, instrumental parameters, and comorbidities, with the exception of type and quantity of ES. Physical and mental health to the SF-36 Health Status Survey indicated lower summary point scores in patient subgroup A ("early" ES) in comparison with the control group. The parameters were non-significantly lower in subgroup B. CONCLUSIONS: The SF-36 Health Status Survey serves to assess the QOL in patients with ES. Frequent ES, especially its "early" variant in which ventricular systole precedes the transmitral blood flow peak in the biomechanic cardiac cycle is a predictor for lower QOL scores in patients with cardiovascular pathology.

The Population Typology of Conspiracy Beliefs About Sars-Cov-2 Origin in Russia Based on Predictive Modelling of COMET-G Study Data: Incoherent Attitude Indicator as a Predisposing Factor for Developing Mental Disturbances.

BACKGROUND: We examined the prevalence and spread of conspiracy beliefs about the origins of the COVID-19 pandemic among representatives of the Russian population. Our study aimed to identify belief clusters and develop predictive models to understand the factors that influence conspiracy beliefs, particularly in the context of how they might evolve in response to socio-political events and cause mental disturbances, thus in relation to specific pathways of the infodemic and psychodemic waves that spread among vulnerable population groups. METHODS: Data respondents to the international COMET-G study living in Russia during pandemic period (n=7,777) were analyzed using descriptive statistics, K-means clustering, and various machine learning models, including gradient boosting. We identified distinct populations depending on predominant beliefs about COVID-19 pandemic origins, and applied game theory (Shapely additive explanations) to determine the most influential variables in predicting cluster membership. RESULTS: Four distinct belief clusters emerged, which we designate as Naturalists, Conspiracists, COVID-Sceptics, and the Incoherent Attitude groups. The Incoherent Attitude cluster constituted 20.8% of the sample, and was particularly associated with mental health signs such as sleep disturbances and the use of psychotropic medications. Internet use and mental health-related factors, as well as the respondents' education level, were key predictors of mental disturbances with mediating effects of the conspiracy views across all clusters. Conspiracy beliefs about COVID-19 origin were highly fluid/variable, often being shaped by external sociopolitical factors rather than objective health data. CONCLUSIONS: The cluster with Incoherent Attitude regarding COVID-pandemic origins, which had an association with psychoticism, showed a greater predisposition for mental health problems, than did the Conspiracist, Naturalist and Sceptic clusters. We suppose that underlying psychoticism bears a relation to their sleep problems and resorting to use of psychotropic medications. These results emphasizes the global health need for implementing target-focused and selective strategies that address public misinformation and promote the adoption of critical thinking skills to mitigate the impact of conspiracy theories, considering the factors of education level and pre-existing mental disorders.

Risk Assessment Suicidality Scale (RASS)-Based On-Line Calculator Targeting Early Prevention of Suicides in General Population: from COMET-G Study Results Towards Integration of the Screening Tool into Routine Clinical Practice.

BACKGROUND: Suicide is a major global health concern, particularly among young people. This study evaluates an online suicide risk calculator based on the Risk Assessment of Suicidality Scale (RASS), which is designed to enhance accessibility and early detection of suicide risk. METHODS: The study involved 444 participants who completed the RASS via an online calculator. Results were compared with data from the COMET-G study's Russian sample (n=7572). Descriptive statistics, correlation analysis, and two-way ANOVA were used to analyze the data. RESULTS: The mean age of participants was 22.71 years (SD=7.94). The mean total RASS standardized score was 837.7 (SD=297.8). There was a significant negative correlation between age and RASS scores (r=-0.463, p<0.0001). The online calculator sample showed significantly higher RASS scores compared to the COMET-G sample, with 71% of online users scoring above the 90th percentile of the COMET-G sample. CONCLUSION: Our study demonstrated the advantage of the on-line suicidality risk calculator based on the RASS scale as a sensitive tool in detecting suicidal behaviours and measuring the severity of suicidality risks, offering a capability for broad reach and immediate assessment during clinical conversation between doctor and patient. Moreover, the RASS on-line psychometric instrument, when being freely distributed among the general population over internet sources, enabled to attract vulnerable groups of respondents with significantly higher suicidality risks. Future research should focus on integrating such tools into comprehensive suicide prevention programs and developing appropriate follow-up monitoring strategies for high risk-cases.

Inflammation and Blood-Brain Barrier in Depression: Interaction of CLDN5 and IL6 Gene Variants in Stress-Induced Depression.

BACKGROUND: Evidence from rodents indicated that after recent stress, reduced expression of tight junction protein claudin-5 may weaken the blood-brain barrier and allow interleukin-6 to induce depressive symptoms. Our aims were to prove this pathomechanism in humans. METHODS: We used a large population genetic database (UK Biobank, n = 277 501) to test whether variation in the CLDN5 gene could modulate effects of the IL6 gene variant in stress-induced depression. Three-way interaction of functional polymorphisms, rs885985 of CLDN5, and rs1800795 of IL6 with recent stressful life events were tested on current depressive symptoms. Analyses were performed in male and female populations as well. RESULTS: The 3-way interaction including recent stress yielded highly significant results on current depressive symptoms in the UK Biobank sample, which was more pronounced in men and could be replicated on trend level in an independent cohort (NewMood, n = 1638). None of any other associations or interactions, including, for example, childhood stressors and lifetime depression as an outcome, yielded significance. CONCLUSIONS: These findings provide genetic evidence in humans for the interaction among interleukin-6, claudin-5, and recent stress, suggesting that inflammation is involved in the development of depression and that stress-connected brain entry of inflammatory molecules is a key factor in this pathomechanism. These genetic polymorphisms may help to identify people at higher risk for recent stress-induced depression.

Novel antidepressant drugs: Beyond monoamine targets.

Treatment of major depressive disorder (MDD) including treatment-resistant depression (TRD) remains a major unmet need. Although there are several classes of dissimilar antidepressant drugs approved for MDD, the current drugs have either limited efficacy or are associated with undesirable side effects and withdrawal symptoms. The efficacy and side effects of antidepressant drugs are mainly attributed to their actions on different monoamine neurotransmitters (serotonin, norepinephrine, and dopamine). Development of new antidepressants with novel targets beyond the monoamine pathways may fill the unmet need in treatment of MDD and TRD. The recent approval of intranasal Esketamine (glutamatergic agent) in conjunction with an oral antidepressant for the treatment of adult TRD patients was the first step toward expanding beyond the monoamine targets. Several other glutamatergic (AXS-05, REL-1017, AV-101, SLS-002, AGN24175, and PCN-101) and GABAergic (brexanolone, zuranolone, and ganaxolone) drugs are currently in different stages of clinical development for MDD, TRD and other indications. The renaissance of psychedelic drugs and the emergence of preliminary positive clinical trial results with psilocybin, Ayahuasca, 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT), and lysergic acid diethylamide (LSD) may pave the way towards establishing this class of drugs as effective therapies for MDD, TRD and other neuropsychiatric disorders. Going beyond the monoamine targets appears to be an effective strategy to develop novel antidepressant drugs with superior efficacy, safety, and tolerability for the improved treatment of MDD and TRD.

Results of the COVID-19 mental health international for the health professionals (COMET-HP) study: depression, suicidal tendencies and conspiracism.

INTRODUCTION: The current study aimed to investigate the rates of anxiety, clinical depression, and suicidality and their changes in health professionals during the COVID-19 outbreak. MATERIALS AND METHODS: The data came from the larger COMET-G study. The study sample includes 12,792 health professionals from 40 countries (62.40% women aged 39.76 ± 11.70; 36.81% men aged 35.91 ± 11.00 and 0.78% non-binary gender aged 35.15 ± 13.03). Distress and clinical depression were identified with the use of a previously developed cut-off and algorithm, respectively. STATISTICAL ANALYSIS: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses, and Factorial Analysis of Variance (ANOVA) tested relations among variables. RESULTS: Clinical depression was detected in 13.16% with male doctors and 'non-binary genders' having the lowest rates (7.89 and 5.88% respectively) and 'non-binary gender' nurses and administrative staff had the highest (37.50%); distress was present in 15.19%. A significant percentage reported a deterioration in mental state, family dynamics, and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (24.64% vs. 9.62%; p < 0.0001). Suicidal tendencies were at least doubled in terms of RASS scores. Approximately one-third of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop clinical depression was associated with a history of Bipolar disorder (RR = 4.23). CONCLUSIONS: The current study reported findings in health care professionals similar in magnitude and quality to those reported earlier in the general population although rates of clinical depression, suicidal tendencies, and adherence to conspiracy theories were much lower. However, the general model of factors interplay seems to be the same and this could be of practical utility since many of these factors are modifiable.

[Effectiveness of psychotherapeutic interventions: the potentials of professional guidelines - a methodological consensus proposal].

Psychotherapeutic interventions diff er from other health care interventions in many ways, thus the indicators of evidence-based medicine should be used with modifications when necessary. Implementation of a unified evaluation and quality assurance framework would aid the psychotherapy scene in having their intervention methods acknowledged by other medical specialties as an equal healthcare intervention. Professional recommendations regarding the interventions and methods used in clinical care in the field of psychotherapy can be laid down in specific professional guidelines of the domestic healthcare regulatory practice. A professional guideline is both a starting point and a practical guide for (planning to train, in training, or trained) professionals, as well as for the healthcare funder(s). In addition, a fixed professional framework would provide a consistent and accountable reference for quality assurance for patients who wish to recover and for those consider receiving psychotherapy. Evidence-based recommendations for the practice of the profession 1) can validate the applied care practice through findings supported from a scientific point of view, 2) can consensually resolve the specific contradictions of the field through definitions 3) can also provide a basis for transparent training, administrative and financing aspects. Consistent professional decision-making must be carried out according to a uniform ranking system. The reliability of the evidence is also very important in terms of clinical applicability of a psychotherapy method.

[The role of psychological factors in the development and treatment of infertility]. / A pszichés faktorok szerepe a meddoség kialakulásában és kezelésében.

Infertility can be caused by several factors, thus the effective treatment of infertility is a complex and multidisciplinary task. While psychological support is an essential part of infertility treatment, there is growing evidence that the role of psychological factors is much greater, as personality and psychological factors have a significant impact on the development, long-term course, and treatment success of several somatic diseases. Exploring the possible mechanisms through which these psychological factors directly or indirectly contribute to infertility and the success of infertility interventions could help identify high-risk patient groups and tailor treatment to the patient, which may increase the chances of successful pregnancy and live birth in women undergoing assisted reproductive treatment. In this review we aim to summarize current knowledge and research findings on the relationship between psychological factors and infertility treatments, including clinical consequences and implications for future research. Keywords: infertility, assisted reproduction, IVF, adherence, personality, temperaments, affective temperaments, TEMPS-A, stress, depression.

A sound mind in a sound body: a novel concept unravelling heterogeneity of depression.

Depression is a highly prevalent and debilitating condition, yet we still lack both in-depth knowledge concerning its etiopathology and sufficiently efficacious treatment options. With approximately one third of patients resistant to currently available antidepressants there is a pressing need for a better understanding of depression, identifying subgroups within the highly heterogeneous illness category and to understand the divergent underlying biology of such subtypes, to help develop and personalise treatments. The TRAJECTOME project aims to address such challenges by (1) identifying depression-related multimorbidity subgroups and shared molecular pathways based on temporal disease profiles from healthcare systems and biobank data using machine learning approaches, and by (2) characterising these subgroups from multiple aspects including genetic variants, metabolic processes, lifestyle and environmental factors. Following the identification of multimorbidity trajectories, a disease burden score related to depression and adjusted for multimorbidity was established summarising the current state of the patient to weigh the molecular mechanisms associated with depression. In addition, the role of genetic and environmental factors, and also their interactions were identified for all subgroups. The project also attempted to identify potential metabolomic markers for the early diagnostics of these multimorbidity conditions. Finally, we prioritized molecular drug candidates matching the multimorbidity pathways indicated for the individual subgroups which would potentially offer personalised treatment simultaneously for the observable multimorbid conditions yet minimising polypharmacy and related side effects. The present paper overviews the TRAJECTOME project including its aims, tasks, procedures and accomplishments. (Neuropsychopharmacol Hung 2023; 25(4): 183-193)

Peripheral Blood Mononuclear Cell-Related Biomarkers in Schizophrenia.

INTRODUCTION: Schizophrenia is a severe mental illness causing significant impairment in personal, family, social, educational, occupational, and other important areas of life. While there is no widely accepted endophenotype, peripheral blood cells may serve as an accessible model of intracellular changes in schizophrenia. METHODS: We reviewed the literature on the query "peripheral blood mononuclear cells AND schizophrenia" in Medline (Pubmed), selecting studies that searched for specific biomarkers of schizophrenia. We considered both diagnostic biomarkers and biomarkers of therapeutic response, specific schizophrenia disorders or differential diagnostic biomarkers. RESULTS: We retrieved 41 articles matching the search criteria, among which were studies that considered changes in the production of pro-inflammatory and anti-inflammatory markers, proteins, receptors, enzyme activity, and gene expression as potential biomarkers. CONCLUSION: Approaches analysing a biological axis or a group of related biomarkers may hold the greatest promise for identifying schizophrenia. In addition, pharmacological status, smoking status, inflammatory markers and glucose metabolites, the presence of comorbidities should be considered. Certain biomarkers, while not specific for the diagnosis of schizophrenia, may indicate the prognosis and effectiveness of treatment in the established diagnosis.

Post-COVID Neuropsychiatric Complications in Children and Adolescents: a Study Design for Early Diagnosis and Treatment Using Innovative Technologies.

BACKGROUND: The COVID-19 pandemic has had significant impacts on the child and adolescent population, with long-term consequences for physical health, socio-psychological well-being, and cognitive development, which require further investigation. We herein describe a study design protocol for recognizing neuropsychiatric complications associated with pediatric COVID-19, and for developing effective prevention and treatment strategies grounded on the evidence-based findings. METHODS: The study includes two cohorts, each with 163 participants, aged from 7 to 18 years old, and matched by gender. One cohort consisted of individuals with a history of COVID-19, while the other group presents those without such a history. We undertake comprehensive assessments, including neuropsychiatric evaluations, blood tests, and validated questionnaires completed by parents/guardians and by the children themselves. The data analysis is based on machine learning techniques to develop predictive models for COVID-19-associated neuropsychiatric complications in children and adolescents. RESULTS: The first model is focused on a binary classification to distinguish participants with and without a history of COVID-19. The second model clusters significant indicators of clinical dynamics during the follow-up observation period, including the persistence of COVID-19 related somatic and neuropsychiatric symptoms over time. The third model manages the predictors of discrete trajectories in the dynamics of post-COVID-19 states, tailored for personalized prediction modeling of affective, behavioral, cognitive, disturbances (academic/school performance), and somatic symptoms of the long COVID. CONCLUSIONS: The current protocol outlines a comprehensive study design aiming to bring a better understanding of COVID-19-associated neuropsychiatric complications in a population of children and adolescents, and to create a mobile phone-based applications for the diagnosis and treatment of affective, cognitive, and behavioral conditions. The study will inform about the improved management of preventive and personalized care strategies for pediatric COVID-19 patients. Study results support the development of engaging and age-appropriate mobile technologies addressing the needs of this vulnerable population group.

Gender, age at onset, and duration of being ill as predictors for the long-term course and outcome of schizophrenia: an international multicenter study.

BACKGROUND: The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia. METHODS: Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects. RESULTS: There was a 3-year later age at onset for females (P < .001) and lower rates of negative symptoms (P < .01) and higher depression/anxiety measures (P < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages (P = .001). No significant effects were found concerning duration of illness. DISCUSSION: Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

Depression and anxiety in different hypertension phenotypes: a cross-sectional study.

BACKGROUND: Hypertension is a major risk factor of cardiovascular mortality. Mood disorders represent a growing public health problem worldwide. A complex relationship is present between mood disorders and cardiovascular diseases. However, less data is available about the level of depression and anxiety in different hypertension phenotypes. The aim of our study was to evaluate psychometric parameters in healthy controls (Cont), in patients with white-coat hypertension (WhHT), with chronic, non-resistant hypertension (non-ResHT), and with chronic, treatment-resistant hypertension (ResHT). METHODS: In a cross-sectional study setup 363 patients were included with the following distribution: 82 Cont, 44 WhHT, 200 non-ResHT and 37 ResHT. The patients completed the Beck Depression Inventory (BDI) and the Hamilton Anxiety Scale (HAM-A). RESULTS: BDI points were higher in WhHT (7 (3-11)) and ResHT (6 (3-11.5)) compared with Cont (3 (1-6), p < 0.05). Similarly, HAM-A points were higher in WhHT (8 (5-15)) and ResHT (10.5 (5.25-18.75)) compared with Cont (4 (1-7), p < 0.05) and also compared with non-ResHT (5 (2-10), p < 0.05). ResHT was independently associated with HAM-A scale equal or above 3 points (Beta = 3.804, 95%CI 1.204-12.015). WhHT was independently associated with HAM-A scale equal or above 2 points (Beta = 7.701, 95%CI 1.165-18.973) and BDI scale equal or above 5 points (Beta = 2.888, 95%CI 1.170-7.126). CONCLUSIONS: Our results suggest psychopathological similarities between white-coat hypertension and resistant hypertension. As recently it was demonstrated that white-coat hypertension is not a benign condition, our findings can have relevance for future interventional purposes to improve the outcome of these patients.

Sex differences in maturation and aging of human personality on the basis of a recently developed complex hierarchical model of temperament and character.

OBJECTIVE: The current study aimed to determine the changes in psychological function that come with age. The basis to assess psychological function was a hierarchical model of temperament, personality and character, previously developed by the authors. METHODS: 734 general population subjects completed the TEMPS-A, the TCI and the NEO-PI-3. Data were analysed with ANCOVA models. RESULTS: The top superfactors showed no age change, however, age-related changes were identified in the higher and lower modules. There was a pattern of differences between the two genders in all levels of the model. CONCLUSIONS: While there is stability with the two top factors of personality, there are age-related changes in lower-level modules probably indicating maturation, adaptation or changes in orientation through the adult life span. Gender differences in all levels including the two top superfactors, higher and lower modules reflect and explain differences in multiple aspects of internal experience, interaction and behaviour in the two genders. The results are clinically essential for incorporating age and gender-related differences of experience and behaviour in understanding temperamental implications in affective disorders also impacting their clinical course and management.Key PointsBased on the complex hierarchical temperament model four stages of maturation of human psychological function can be postulated.There is a very specific trait core of human mental function, which differs between genders and seems to be responsible for the longitudinal stability of the person's internal experience with the passing of the years.The findings are clinically essential for incorporating age and gender-related differences of experience and behaviour in understanding temperamental implications in affective disorders also impacting their clinical course and management.

[Evidence-based psychotherapeutic methods of prevention and intervention in suicidal behaviour]. / A szuicid prevenció és intervenció bizonyítékokon alapuló pszichoterápiás lehetoségei.

There are several approached to suicide prevention based on various psychotherapeutic interventions, which are effective, especially when these are matched to the given psychiatric patient population, environment and context. In this paper the possibilities of psychotherapeutic methods of suicide prevention and intervention are described along with their indications. The following interventions are discussed: Cognitive Behavioral Therapy for Suicide Prevention (CBT-SP), Cognitive Therapy for Suicide Prevention (CT-SP), Brief Cognitive-Behavioral Therapy for Suicide Prevention (BCBT), Problem Solving Therapy (PST), Problem Adaptation Therapy (PATH), Dialectial Behavior Therapy (DBT), SchemaFocused Therapy (SFT), Mindfulness-Based Cognitive Therapy (MBCT), Mindfulness-Based Stress Reduction (MBSR), Acceptance and Commitment Therapy (ACT), Mentalization-Based Treatment (MBT), Interpersonal Psychotherapy (IPT), Transference-Focused Psychotherapy (TFP), Collaborative Assessment and Management of Suicidality (CAMS), Teachable Moment Brief Intervention (TMBI), Motivational Interviewing (MI), Attempted Suicide Short Intervention Program (ASSIP) and other Interned-Based Interventions (IBI). The effectiveness of the above methods may vary, however, they focus on the psychological processes playing a role in the emergence of suicidal behaviours including cognitive processes, as well as difficulties of problem solving and emotion regulation. As the efficacy of these interventions are supported by clinical trials, their use is recommended in case of this vulnerable patient population. The importance of using such methods in the clinical work with suicidal patients should be prioritized in our effort to provide a complex treatment for suicidal behaviour based on the most optimal and appropriate intervention considering the given patient.

The relationship between therapeutic adherence and personality.

Inadequate adherence to long-term therapies significantly affects the course and outcome of the disease, and therefore poses a serious threat to both the effectiveness and success of treatment and the long-term well-being of patients. Therapeutic adherence is an extremely complex process, with a number of risk and protective factors identified, many of which underlie the psychological characteristics of the patient. A number of medication adherence models have been developed to take into account the psychological characteristics of patients, and recent research has examined the relationship between different personality models and adherence to therapeutic recommendations. In this review we aim to summarize current knowledge, adherence models, research findings on the relationship between personality and adherence, including implications for future research.

What you see is what you get? Association of belief in conspiracy theories and mental health during COVID-19.

Background: The COVID-19 pandemic brought about great uncertainty and significant changes in our people's everyday lives. In times of such crises, it is natural to seek explanations to overcome our fears and uncertainties, contributing to an increase to believe in conspiracy theories which, by yielding explanations, decrease uncertainty and ambiguity and may thus have an effect on mental well-being. In spite of this, the majority of research on conspiracy theories focused on their social effects with little attention to psychological effects. Thus, the aim of our present study was to examine the association between belief in conspiracy theories and different aspects of mental health during the COVID-19 pandemic in a general population sample. Methods: Our analyses included data from the Hungarian leg of the COMET-G (COVID-19 MEntal health international for the General population) study. The Hungarian sample included participants who completed a detailed questionnaire assessing belief in seven conspiracy theory items, as well as STAI-S and CES-D to measure state anxiety and depression, respectively, and answered questions related to their change in depression, anxiety and suicidal thoughts during the pandemic. Association between the individual beliefs as well as a composite Conspiracy Theory Belief Score (CTBS) and mental health measures was analysed using linear regression models. Results: Overall, belief in conspiracy theories was relatively moderate in our sample. Sex and age appeared to have a significant effect on the Overall Conspiracy Theory Belief Score (CTBS), with women having a higher score and scores increasing with age. Some of the individual beliefs also showed associations with age and sex. State anxiety and depression was not significantly associated with CTBS, however in case of depression some individual items were, and symptom clusters within CES-D also showed a pattern of association with some of the individual items. As far as changes in mental health during the pandemic is concerned, no association between overall beliefs and changes in anxiety or depression was found. However, higher overall belief in conspiracy theories was associated with a decrease in suicidal thoughts. Discussion: In our study, we explored the association between conspiracy theories and mental well-being as well as its changes during the COVID-19 pandemic. We found a specific pattern of association between belief in distinct theories and some aspects of depression, as well as lower increase in suicidal ideation in association with increased belief in conspiracy theories. Understanding the role of belief in theories can be key to designing mental health interventions when reacting to unforeseen events in the future. (Neuropsychopharmacol Hung 2022; 24(1): 42-55).