[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.

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.

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).

Association between change in suicidal ideation, and distinct symptoms of depression and sleep changes during COVID-19.

COVID-19 has created a situation that has never been experienced before, challenging the mobilization of adaptive coping strategies. There has been a marked increase in suicides and suicidal ideation following the onset of COVID-19 likely reflecting the toll of the pandemic on mental health. The aim of our study to investigate the associations between depressive symptoms and distinct symptom clusters and lifestyle changes related to sleep, eating and physical activity and change in suicidal thoughts and thinking about death during the pandemic. Analyses involved data from the Hungarian part of the COMET-G (COVID-19 Mental health in Ternational for the General population) study, including 763 Hungarian adults, who completed a detailed questionnaire focusing on changes in behavior, lifestyle, activity and mental health during the pandemic. The dataset was analyzed using ordinal regression models adjusted for age and sex. Depression, as well as its symptom clusters, including anhedonia and depressed mood and somatic complaints had a significant, but small effect increasing suicidal ideation, while the effect of irritability and social relationship problems was more marked. In case of lifestyle factors no associations was found between change in eating habits or physical activity and change in suicidal ideations, however, sleeprelated changes were associated with a significant increase in suicidal thoughts during the pandemic. Our findings show that not all symptoms related to mood disturbance have an equally marked effect on suicidal ideating and thus suicide risk, emphasizing the role of detailed screening and evaluation even in subclinical populations in times of such crises, and also highlight the importance of considering sleep problems when evaluating suicide risk. Thus, our findings help identify relevant targets for screening and intervention in decreasing suicide risk during crises. (Neuropsychopharmacol Hung 2022; 24(3): 134-143).

Association between Lifestyle- and Circadian Rhythm-Related Changes, and Different Depression Symptom Clusters during COVID-19.

BACKGROUND: The COVID-19 pandemic brought along a new situation for the population worldwide. The most important safety measures and lockdown expected extreme adaptability and flexibility impacting mental well-being. The aim of our study was to identify associations between changes in lifestyle and circadian rhythm and depression during the pandemic. SUBJECTS AND METHODS: Our analysis has been carried out on the Hungarian data set of the COMET-G study including information on lifestyle and circadian rhythm-associated factors and severity of depression and its 3 symptom clusters. Associations were assessed using linear regression models adjusted for age and sex. RESULTS: All variables reflecting changes in quality and quantity of sleep showed significant associations with overall depression scores and the three distinct symptom cluster scores. All variables reflecting importance and changes in physical activity during the pandemic were similarly significantly associated with all depression measures. However, only changes in quality of diet, but not quantity was associated with depression scores. CONCLUSIONS: Our results may confirm the association of circadian rhythm and lifestyle-related environmental factors in deterioration of mental health during COVID and help devise prevention and intervention methods and targets for similar situations.

[Effects of COVID-19 on psychological well-being, lifestyle and attitudes towards the origins of the pandemic in psychiatric patients and mentally healthy subjects: fi rst Hungarian descriptive results from a large international online study]. / A COVID-19 pandémia hatása a pszichológiai jóllétre, az életmódra és a járvány eredetével kapcsolatos attitudökre pszichiátriai betegséggel élo és egészséges személyekben: egy nagy nemzetközi vizsgálat elso magyarországi adatai.

The COVID-2019 pandemic has presented a new situation affecting not only the somatic but the mental health of people worldwide and exposing the world including healthcare professionals to a challenge never experienced before. Therefore its effects on mental health, although can be estimated, but cannot be predicted, thus we are only halfways prepared for understanding as well as screening, preventing and treating the pandemic-related mental health problems. For this reason, the Mental Health Sector of the Scientific Researches Institute of the Pan-Hellenic Medical Association prepared a large, international online, general population study with participation from over 42 countries, assessing various aspects of general mental function, needs and behaviors that could occur during the COVID-19 outbreak, as a result of either the outbreak itself or the social measures adopted in order to control it. While the study is ongoing, here we present the first descriptive results from the Hungarian study sample including 738 adult participants collected during the first wave of COVID-19-associated lockdown, focusing on differences in the effect of COVID-19 on psychological and lifestyle measures, as well as attitudes towards the pandemic between mentally healthy participants and people with mental disorders.

Burden of Mental Health among Patients with Inflammatory Bowel Disease-A Cross-Sectional Study from a Tertiary IBD Center in Hungary.

Background: Inflammatory bowel diseases (IBDs) are chronic conditions that negatively affect the patient's quality of life. With the spread of the biopsychosocial model, the role of mental health in the activity and course of inflammatory bowel disease is becoming more and more recognized. Our study aimed to assess the prevalence of anxiety and depression in IBD patients in our tertiary referral center and determine the predictive factors of these mental conditions. Methods: A total of 117 patients were included consecutively between 1 December 2021 and 28 February 2022. We used a questionnaire to gather demographic information, disease course, and IBD-specific symptoms. We assessed anxiety symptoms using the GAD-7 and depressive complaints using the PHQ-9 questionnaire. We evaluated disease activity using CDAI and pMayo scores. Results: Of the 117 patients (male/female: 63/54), 88 suffered from Crohn's disease, and 29 were diagnosed with ulcerative colitis. Only 6 patients were taking medication for mood disorders, and 38 individuals sought mental support during their lifetime. A total of 15% of the population suffered from moderate-severe anxiety disorder, and 22% were affected by moderate-severe depression. The GAD-7 and PHQ9 values showed a significant correlation between the number of stools, bloody stools, abdominal pain, number of flare-ups, and CDAI scores. Conclusions: Our study confirmed that there is a high incidence of anxiety and depressive symptoms among IBD patients. Our results highlighted the symptoms that could be associated with mental disorders. It is important to assess the mental status of IBD patients to improve their quality of life.

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study.

BACKGROUND: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations. METHODS: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them. RESULTS: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use. CONCLUSIONS: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research. LIMITATIONS: Online data collection may have resulted in the underrepresentation of certain population groups.

[Intensive cognitive behavioral group therapy for the treatment of panic disorder]. / Intenzív kognitív viselkedésterápiás csoport pánikbetegség kezelésére.

INTRODUCTION: Panic disorder is one of the most commonly occurring emotional disorder, showing increased prevalence rates since the COVID-19 pandemic. The ever-growing number of patients in need of treatment is a heavy burden on the healthcare system, which draws attention to the importance of low-intensity, short and effective psychological interventions in the treatment of mental disorders, especially in the field of primary care. According to international guidelines, the recommended evidence-based treatment of panic disorder is cognitive behavioral therapy, which is based on the cognitive model of panic disorder. According to the model, a panic attack develops in those who catastrophize the symptoms of the normal stress reaction, i.e., consider them a sign of a serious physical illness such as heart-attack and react to this with intense anxiety. OBJECTIVE: Based on Salkovskis and Clark (1986), we developed a 5 session, intensive cognitive behavioral group therapy protocol for panic patients. METHOD: Effectiveness of the short group therapy was assessed with questionnaires (Spielberger's State-Trait Anxiety Inventory, Beck Depression Inventory) and an additional subjective scale. Paired sample t-tests were conducted. RESULTS: Our results suggest that the intensity of anxiety and depressive symptoms (t(36) = 5.497, p<0.0001; Z = -4.871, p<0.0001) as well as the frequency of panic attacks (Z= -5.190, p<0.0001) decreased significantly after the 5 session group therapy. DISCUSSION AND CONCLUSION: Our clinical study provides further evidence by the effectiveness of low-intensity psychological interventions, offering an evidence-based protocol for professionals working in primary as well as mental health care. Orv Hetil. 2023; 164(42): 1665-1672.

Semantic systems are mentalistically activated for and by social partners.

A recently discovered electrophysiological response, the social N400, suggests that we use our language system to track how social partners comprehend language. Listeners show an increased N400 response, when themselves not, only a communicative partner experiences a semantic incongruity. Does the N400 reflect purely semantic or mentalistic computations as well? Do we attribute language comprehension to communicative partners using our semantic systems? In five electrophysiological experiments we identified two subcomponents of the social N400. First, we manipulated the presence-absence of an Observer during object naming: the semantic memory system was activated by the presence of a social partner in addition to semantic predictions for the self. Next, we induced a false belief-and a consequent miscomprehension-in the Observer. Participants showed the social N400, over and above the social presence effect, to labels that were incongruent for the Observer, even though they were congruent for them. This effect appeared only if participants received explicit instructions to track the comprehension of the Observer. These findings suggest that the semantic systems of the brain are not merely sensitive to social information and contribute to the attribution of comprehension, but they appear to be mentalistic in nature.

Invisible wounds: Suturing the gap between the neurobiology, conventional and emerging therapies for posttraumatic stress disorder.

A sharp increase in the prevalence of neuropsychiatric disorders, including major depression, anxiety, substance use disorders and posttraumatic stress disorder (PTSD) has occurred due to the traumatic nature of the persisting COVID-19 global pandemic. PTSD is estimated to occur in up to 25% of individuals following exposure to acute or chronic trauma, and the pandemic has inflicted both forms of trauma on much of the population through both direct physiological attack as well as an inherent upheaval to our sense of safety. However, despite significant advances in our ability to define and apprehend the effects of traumatic events, the neurobiology and neuroanatomical circuitry of PTSD, one of the most severe consequences of traumatic exposure, remains poorly understood. Furthermore, the current psychotherapies or pharmacological options for treatment have limited efficacy, durability, and low adherence rates. Consequently, there is a great need to better understand the neurobiology and neuroanatomy of PTSD and develop novel therapies that extend beyond the current limited treatments. This review summarizes the neurobiological and neuroanatomical underpinnings of PTSD and discusses the conventional and emerging psychotherapies, pharmacological and combined psychopharmacological therapies, including the use of psychedelic-assisted psychotherapies and neuromodulatory interventions, for the improved treatment of PTSD and the potential for their wider applications in other neuropsychiatric disorders resulting from traumatic exposure.

Results of the COVID-19 mental health international for the general population (COMET-G) study.

INTRODUCTION: There are few published empirical data on the effects of COVID-19 on mental health, and until now, there is no large international study. MATERIAL AND METHODS: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable 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: Probable depression was detected in 17.80% and distress in 16.71%. 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 (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed. CONCLUSIONS: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.

The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study.

INTRODUCTION: During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question. MATERIAL AND METHODS: During the COVID-19 pandemic, data were gathered with an online questionnaire from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively. STATISTICAL ANALYSIS: It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small. CONCLUSIONS: The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups.