Originalarbeiten / Original Articles. Entwicklung und Evaluation einer Aufklärungsbroschüre zu Ängsten und Angststörungen für Jugendliche.

Development and Evaluation of an Information Brochure on Anxiety and Anxiety Disorders for Adolescents Low mental health literacy and fear of being stigmatized are two main barriers that detain adolescents fromseeking professional help. An information brochure about anxiety disorders for adolescents was developed. To make a first statement about the quality of the brochure, 19 experts, consisting of (child and adolescents) psychotherapists, psychiatrists, and psychologists, rated a first version of the brochure regarding content validity and age-appropriatness. To evaluate the efficacy in knowledge and the acceptance of the brochure, a revised version was evaluated by N = 174 adolscents (106 female-, 66 male- and two non-binary) between 14 and 17 years of age (M = 16.56 years.; SD = 0.57).The experts' approval of all content items totals a mean average of 95.2 % (range: 84.2-100 %). In the adolescent sample, the intervention increased knowledge about anxiety disorders (d = 1.04) and improved attitudes about coping strategies (d = 0.99). Results of the experts' rating showed that content validity of the brochure can be assumed.The revised brochure seems to be a useful and effective tool to inform adolescents about anxiety disorders.

Pharmacotherapy and cognitive bias modification for the treatment of anxiety disorders.

INTRODUCTION: Anxiety disorders are characterized by widespread and persistent anxiety or recurrent panic attacks. As a result of their high prevalence, chronicity, and comorbidity, patients' quality of life and functioning are severely compromised. However, several patients do not receive treatment. AREAS COVERED: This review discusses the effectiveness, safety, and limitations of major medications and cognitive bias modification (CBM) for treating anxiety disorders. The possibility of combined treatment is also discussed in the literature. Furthermore, drawing on Chinese cultural perspectives, the authors suggest that anxiety can be recognized, measured, and coped with at three levels of skill (), vision (), and Tao (). EXPERT OPINION: The combination of pharmacotherapy and CBM is possibly more effective in treating anxiety disorders than either treatment alone. However, clinicians and patients should participate in the joint decision-making process and consider comprehensive factors. Moderate anxiety has adaptive significance. In the coming years, by combining the downward analytical system of western culture with the upward integrative system of Chinese culture, a comprehensive understanding of anxiety and anxiety disorders should be established, rather than focusing only on their treatment.

Do Patient's Interpersonal Problems Improve Following Metacognitive Therapy? A Systematic Review and Meta-Analysis.

Metacognitive therapy (MCT) aims to modify dysfunctional metacognitions that are thought to be universal determinants of emotional distress and psychological dysfunction more generally. MCT is an effective treatment for emotional distress symptoms, but less is known about its effect for other types of psychological problems. Interpersonal problems are common in psychological disorders and should be improved following psychotherapy. Therefore, we conducted a systematic review and meta-analysis of trials on the effects associated with MCT for interpersonal problems among adults with mental health disorders published until 15 November 2023 using PubMed, Cochrane Library and PsycNet. Trials with a minimum of 10 participants were included. A total of six studies based on five trials reported on the effectiveness of MCT for interpersonal problems and met our inclusion criteria. Two trials evaluated MCT for patients with major depressive disorders, two for patients with anxiety disorders and one for borderline personality disorder. Three of the trials were randomized controlled trials. Four of the trials reported follow-up data but varied in their time-points. The within-group effect size estimate from pretreatment to posttreatment across five trials was large (g = 0.865, 95% CI [0.512-1.218]). Our results indicate that MCT is an effective treatment for improving interpersonal problems in individuals with common mental disorders, even though the treatment is short and primarily concern improving mental regulation through modifying metacognitions. While this finding is in line with metacognitive theory, more trials evaluating personality and interpersonal functioning are needed to draw firm conclusions.

Moderating Effect of Coping Strategies on the Association Between the Infodemic-Driven Overuse of Health Care Services and Cyberchondria and Anxiety: Partial Least Squares Structural Equation Modeling Study.

BACKGROUND: The COVID-19 pandemic has led to a substantial increase in health information, which has, in turn, caused a significant rise in cyberchondria and anxiety among individuals who search for web-based medical information. To cope with this information overload and safeguard their mental well-being, individuals may adopt various strategies. However, the effectiveness of these strategies in mitigating the negative effects of information overload and promoting overall well-being remains uncertain. OBJECTIVE: This study aimed to investigate the moderating effect of coping strategies on the relationship between the infodemic-driven misuse of health care and depression and cyberchondria. The findings could add a new dimension to our understanding of the psychological impacts of the infodemic, especially in the context of a global health crisis, and the moderating effect of different coping strategies on the relationship between the overuse of health care and cyberchondria and anxiety. METHODS: The data used in this study were obtained from a cross-sectional web-based survey. A professional survey company was contracted to collect the data using its web-based panel. The survey was completed by Chinese individuals aged 18 years or older without cognitive problems. Model parameters of the relationships between infodemic-driven overuse of health care, cyberchondria, and anxiety were analyzed using bootstrapped partial least squares structural equation modeling. Additionally, the moderating effects of coping strategies on the aforementioned relationships were also examined. RESULTS: A total of 986 respondents completed the web-based survey. The mean scores of the Generalized Anxiety Disorder-7 and Cyberchondria Severity Scale-12 were 8.4 (SD 3.8) and 39.7 (SD 7.5), respectively. The mean score of problem-focused coping was higher than those of emotion- and avoidant-focused coping. There was a significantly positive relationship between a high level of infodemic and increased overuse of health care (bootstrapped mean 0.21, SD 0.03; 95% CI 0.1581-0.271). The overuse of health care resulted in more severe cyberchondria (bootstrapped mean 0.107, SD 0.032) and higher anxiety levels (bootstrapped mean 0.282, SD 0.032) in all the models. Emotion (bootstrapped mean 0.02, SD 0.008 and 0.037, SD 0.015)- and avoidant (bootstrapped mean 0.026, SD 0.009 and 0.049, SD 0.016)-focused coping strategies significantly moderated the relationship between the overuse of health care and cyberchondria and that between the overuse of health care and anxiety, respectively. Regarding the problem-based model, the moderating effect was significant for the relationship between the overuse of health care and anxiety (bootstrapped mean 0.007, SD 0.011; 95% CI 0.005-0.027). CONCLUSIONS: This study provides empirical evidence about the impact of coping strategies on the relationship between infodemic-related overuse of health care services and cyberchondria and anxiety. Future research can build on the findings of this study to further explore these relationships and develop and test interventions aimed at mitigating the negative impact of the infodemic on mental health.

Potential of niacin skin flush response in adolescent depression identification and severity assessment: a case-control study.

BACKGROUND: The diagnosis of adolescent Depressive Disorder (DD) lacks specific biomarkers, posing significant challenges. This study investigates the potential of Niacin Skin Flush Response (NSFR) as a biomarker for identifying and assessing the severity of adolescent Depressive Disorder, as well as distinguishing it from Behavioral and Emotional Disorders typically emerging in childhood and adolescence(BED). METHODS: In a case-control study involving 196 adolescents, including 128 Depressive Disorder, 32 Behavioral and Emotional Disorders, and 36 healthy controls (HCs), NSFR was assessed. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9) and anxious symptoms with the Generalized Anxiety Disorder 7-item scale (GAD-7). Pearson correlation analysis determined the relationships between NSFR and the severity of depression in DD patients. Receiver Operating Characteristic (ROC) was used to identify DD from BED integrating NSFR data with clinical symptom measures. RESULTS: The adolescent Depressive Disorder group exhibited a higher rate of severe blunted NSFR (21.4%) compared to BED (12.5%) and HC ( 8.3%). Adolescent Depressive Disorder with psychotic symptoms showed a significant increase in blunted NSFR (p = 0.016). NSFR had negative correlations with depressive (r = -0.240, p = 0.006) and anxious (r = -0.2, p = 0.023) symptoms in adolescent Depressive Disorder. Integrating NSFR with three clinical scales improved the differentiation between adolescent Depressive Disorder and BED (AUC increased from 0.694 to 0.712). CONCLUSION: The NSFR demonstrates potential as an objective biomarker for adolescent Depressive Disorder, aiding in screening, assessing severity, and enhancing insights into its pathophysiology and diagnostic precision.

Identifying tripartite relationship among cortical thickness, neuroticism, and mood and anxiety disorders.

The number of young adults seeking help for emotional distress, subsyndromal-syndromal mood/anxiety symptoms, including those associated with neuroticism, is rising and can be an early manifestation of mood/anxiety disorders. Identification of gray matter (GM) thickness alterations and their relationship with neuroticism and mood/anxiety symptoms can aid in earlier diagnosis and prevention of risk for future mood and anxiety disorders. In a transdiagnostic sample of young adults (n = 252;177 females; age 21.7 ± 2), Hypothesis (H) 1:regularized regression followed by multiple regression examined relationships among GM cortical thickness and clinician-rated depression, anxiety, and mania/hypomania; H2:the neuroticism factor and its subfactors as measured by NEO Personality Inventory (NEO-PI-R) were tested as mediators. Analyses revealed positive relationships between left parsopercularis thickness and depression (B = 4.87, p = 0.002), anxiety (B = 4.68, p = 0.002), mania/hypomania (B = 6.08, p ≤ 0.001); negative relationships between left inferior temporal gyrus (ITG) thickness and depression (B = - 5.64, p ≤ 0.001), anxiety (B = - 6.77, p ≤ 0.001), mania/hypomania (B = - 6.47, p ≤ 0.001); and positive relationships between left isthmus cingulate thickness (B = 2.84, p = 0.011), and anxiety. NEO anger/hostility mediated the relationship between left ITG thickness and mania/hypomania; NEO vulnerability mediated the relationship between left ITG thickness and depression. Examining the interrelationships among cortical thickness, neuroticism and mood and anxiety symptoms enriches the potential for identifying markers conferring risk for mood and anxiety disorders and can provide targets for personalized intervention strategies for these disorders.

The relationship between interoceptive emotional awareness, neuroticism, and depression, anxiety, and stress.

COVID-19 has caused challenges to daily living globally, with profound implications for negative mood. A variety of state and trait-based factors can influence how a person may respond and adapt to challenges such as a global pandemic. Personality is an area impacting how a person responds to both internal and external situations (trait) and Emotional Awareness (EA) is a facet of interoception (an awareness of the mind-body connection) that determines the way an individual interprets their physiological state of the body, and the associated emotions (state-trait). Both areas have been well researched in isolation, however the body of literature exploring the relationships between both is much smaller. It would therefore be beneficial to explore the interrelationships of both state and trait factors on wellbeing to enable a more comprehensive understanding. It was hypothesised that EA would moderate the relationship between Neuroticism and Depression, Anxiety, and Stress. Participants residing in Australia during periods of imposed lockdown were included within the study (n = 838; Ages = 18-60 years) and completed an online questionnaire battery including a variety of state and trait questionnaires. A moderation analysis was conducted to explore whether Emotional Awareness changed the relationship between neuroticism and depression, anxiety, and stress utilising an alpha of < .05. EA moderated the relationship between Neuroticism and Anxiety (p = .001, 95% CI .03-.17)), and Stress (p = .02 95% CI.01-.13), but not Depression (p = .23, 95% CI .03-.13). As Neuroticism increased, negative mood increased for all levels of EA, however those high in Neuroticism and EA displayed the highest Anxiety and Stress. Interventions to increase EA, such as mindfulness, may have adverse effects for individuals high in Neuroticism, emphasising the importance of tailored interventions and supporting the assumption that high levels of Neuroticism represent increased vulnerability during a pandemic.

Psychodynamic Psychiatry and the Care of Persons with Vision Loss and Blindness.

The authors describe the clinical relevance of the psychiatric concept of bidirectionality when caring for persons with comorbid disorders, and they propose a psychodynamic framework to guide the treatment of persons with vision loss and blindness. Since persons with vision loss have an increased risk of depressive and anxiety disorders, they recommend targeted screening, integrated services, and a biopsychosocial approach to clinical care. The psychoanalytic concept of aphanisis, first described by Ernest Jones and later developed by Lacan and Kohut, is briefly discussed. Common psychotherapy themes in the treatment of persons who experience vision loss from systemic illness include reactivation of memories of past traumas resulting in avoidance, social withdrawal, depressive states, catastrophic thinking, a sense of foreshortened future, anhedonia, and fear of disintegration and invisibility. Psychotherapy also serves to correct negative introjects from ableist societal attitudes.

Caregiver and youth inter-rater assessment agreement in autism spectrum disorder, developmental coordination disorder, and typical development.

Youth diagnosed with autism spectrum disorder (ASD) and those with developmental coordination disorder (DCD) are at heightened risk for co-occurring mental health diagnoses, especially anxiety and attention-deficit/hyperactivity disorder (ADHD). However, caregiver-child agreement on presence of related symptoms in populations with neurodevelopmental conditions is not well understood. Here, we examine the extent to which 37 ASD, 26 DCD, and 40 typically developing children and their caregivers agree on the degree of the child's symptoms of anxiety and ADHD. All caregiver-child dyads completed the Screen for Child Anxiety Related Emotional Disorders and Conners 3 ADHD Index. Across groups, intraclass correlations indicated generally poor agreement on anxiety and ADHD symptomatology. Although youth generally reported greater internalizing symptoms (i.e., anxiety), caregivers tended to report more observable externalizing behaviors (i.e., ADHD). Together, the results of this study support the need for a multi-informant approach in assessments of anxiety and ADHD in youth with neurodevelopmental disorders.

Study protocol for a pilot clinical trial to understand neural mechanisms of response to a psychological treatment for pain and anxiety in pediatric functional abdominal pain disorders (FAPD).

BACKGROUND: Functional abdominal pain disorders (FAPD) are the most common chronic pain conditions of childhood and are made worse by co-occurring anxiety. Our research team found that the Aim to Decrease Pain and Anxiety Treatment (ADAPT), a six-session coping skills program using cognitive behavioral therapy strategies, was effective in improving pain-related symptoms and anxiety symptoms compared to standard care. In follow-up, this current randomized clinical trial (RCT) aims to test potential neural mechanisms underlying the effect of ADAPT. Specifically, this two-arm RCT will explore changes in amygdalar functional connectivity (primary outcome) following the ADAPT protocol during the water loading symptom provocation task (WL-SPT). Secondary (e.g., changes in regional cerebral blood flow via pulsed arterial spin labeling MRI) and exploratory (e.g., the association between the changes in functional connectivity and clinical symptoms) outcomes will also be investigated. METHODS: We will include patients ages 11 to 16 years presenting to outpatient pediatric gastroenterology care at a midwestern children's hospital with a diagnosis of FAPD plus evidence of clinical anxiety based on a validated screening tool (the Generalized Anxiety Disorder-7 [GAD-7] measure). Eligible participants will undergo baseline neuroimaging involving the WL-SPT, and assessment of self-reported pain, anxiety, and additional symptoms, prior to being randomized to a six-week remotely delivered ADAPT program plus standard medical care or standard medical care alone (waitlist). Thereafter, subjects will complete a post assessment neuroimaging visit similar in nature to their first visit. CONCLUSIONS: This small scale RCT aims to increase understanding of potential neural mechanisms of response to ADAPT. TRIAL REGISTRATION: ClinicalTrials.gov registration: NCT03518216.

Irritability across adolescence: Examining longitudinal trajectory, stability, and associations with psychopathology and functioning at age 18.

BACKGROUND: Irritability, marked by diminished frustration tolerance, holds significant implications for youth mental health treatment. Despite prior research on irritability trajectories, understanding of individual differences during adolescence remains limited. This study examines the stability and trajectory of irritability across ages 12-18, investigating associations with psychopathology and functioning at age 18. METHODS: A community sample of families with 3-year-old children (N = 518) was recruited via commercial mailing lists. Irritability was assessed at ages 12, 15, and 18 using the Affective Reactivity Index. Psychopathology at age 18 was evaluated with the Kiddie Schedule for Affective Disorders and Schizophrenia, and functioning was assessed through the UCLA Life Stress Interview. Measurement invariance analyses and latent growth curve modeling were conducted within a structural equation modeling (SEM) framework. RESULTS: Configural, metric, and scalar invariance models were supported. Elevated irritability at age 12 predicted adverse outcomes at age 18, including increased psychotropic medication use, mental health treatment, suicidal ideation, self-injury, and psychiatric disorders. Importantly, these associations persisted even after accounting for corresponding variables at age 12. The trajectory of irritability during early adolescence significantly predicted heightened risks for various outcomes at age 18, including suicidal ideation, depression, anxiety, disruptive behavior disorders, and impaired interpersonal functioning. DISCUSSION: Limitations include using only youth-reported data at age 18, limited generalizability from a mostly White, middle-class sample, and insufficient exploration of the broader developmental trajectory of irritability. Nevertheless, the findings emphasize the crucial role of irritability's trajectory in influencing various psychopathological and functional outcomes in late adolescence.

Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity.

INTRODUCTION: Psychiatric evaluation of anxiety and depression is currently based on self-reported symptoms and their classification into discrete disorders. Yet the substantial overlap between these disorders as well as their within-disorder heterogeneity may contribute to the mediocre success rates of treatments. The proposed research examines a new framework for diagnosis that is based on alterations in underlying cognitive mechanisms. In line with the Research Domain Criteria (RDoC) approach, the current study directly compares disorder-specific and transdiagnostic cognitive patterns in predicting the severity of anxiety and depression symptoms. METHODS: The sample included 237 individuals exhibiting differing levels of anxiety and depression symptoms, as measured by the STAI-T and BDI-II. Random Forest regressors were used to analyze their performance on a battery of six computerized cognitive-behavioral tests targeting selective and spatial attention, expectancy, interpretation, memory, and cognitive control biases. RESULTS: Unique anxiety-specific biases were found, as well as shared anxious-depressed bias patterns. These cognitive biases exhibited relatively high fitting rates when predicting symptom severity (questionnaire scores common range 0-60, MAE = 6.03, RMSE = 7.53). Interpretation and expectancy biases exhibited the highest association with symptoms, above all other individual biases. LIMITATIONS: Although internal validation methods were applied, models may suffer from potential overfitting due to sample size limitations. CONCLUSION: In the context of the ongoing dispute regarding symptom-centered versus transdiagnostic approaches, the current study provides a unique comparison of these two views, yielding a novel intermediate approach. The results support the use of mechanism-based dimensional diagnosis for adding precision and objectivity to future psychiatric evaluations.

Shared and distinct prefrontal cortex alterations of implicit emotion regulation in depression and anxiety: An fNIRS investigation.

BACKGROUND: Emotion regulation deficits, particularly in cognitive reappraisal, are crucial in depression and anxiety. However, research on the neural mechanisms of implicit emotion regulation is lacking, and it remains unclear whether these mechanisms are shared or distinct between the two disorders. METHODS: We investigated the neural mechanisms of implicit cognitive reappraisal in 28 individuals with major depressive disorder (MDD), 25 with generalized anxiety disorder (GAD), and 30 healthy controls (HC) using functional near-infrared spectroscopy (fNIRS). Participants completed an implicit cognitive reappraisal task and underwent neuropsychological and clinical assessments. RESULTS: We found that MDD patients reported higher levels of rumination and lower utilization of cognitive reappraisal, while GAD patients reported reduced use of perspective-taking. Notably, both MDD and GAD patients exhibited decreased activation in the dorsolateral prefrontal cortex (DLPFC) and orbitofrontal cortex (OFC) compared to HC participants during implicit cognitive reappraisal. Specifically, inadequate OFC activation was observed in MDD patients, while GAD patients demonstrated OFC deactivation during the task. Furthermore, DLPFC activation showed a negative correlation with depression severity in MDD patients, while OFC activation was positively correlated with perspective-taking in GAD patients. LIMITATIONS: fNIRS has limited depth and spatial resolution. CONCLUSION: Our fNIRS study is the first to reveal shared and distinct neurobiological profiles of depression and anxiety in implicit emotion regulation. These findings underscore the significance of reduced DLPFC/OFC activation in emotion regulation impairment and highlight unique OFC activation patterns in these disorders. These insights have potential implications for developing cognitive-behavioral therapy and transcranial magnetic stimulation as treatment approaches.

An investigation into the abnormal dynamic connection mechanism of generalized anxiety disorders based on non-homogeneous Markov models.

BACKGROUND: The dynamic and hierarchical nature of the functional brain network. The neural dynamical systems tend to converge to multiple attractors (stable fixed points or dynamical states) in long run. Little is known about how the changes in this brain dynamic "long-term" behavior of the connectivity flow of brain network in generalized anxiety disorder (GAD). METHODS: This study recruited 92 patients with GAD and 77 healthy controls (HC). We applied a reachable probability approach combining a Non-homogeneous Markov model with transition probability to quantify all possible connectivity flows and the hierarchical structure of brain functional systems at the dynamic level and the stationary probability vector (10-step transition probabilities) to describe the steady state of the system in the long run. A random forest algorithm was conducted to predict the severity of anxiety. RESULTS: The dynamic functional patterns in distributed brain networks had larger possibility to converge in bilateral thalamus, posterior cingulate cortex (PCC), right superior occipital gyrus (SOG) and smaller possibility to converge in bilateral superior temporal gyrus (STG) and right parahippocampal gyrus (PHG) in patients with GAD compared to HC. The abnormal transition probability pattern could predict anxiety severity in patients with GAD. LIMITATIONS: Small samples and subjects taking medications may have influenced our results. Future studies are expected to rule out the potential confounding effects. CONCLUSION: Our results have revealed abnormal dynamic neural communication and integration in emotion regulation in patients with GAD, which give new insights to understand the dynamics of brain function of patients with GAD.

Maternal attachment security modulates the relationship between vulnerability to anxiety and attentional bias to threat in healthy children.

This study aimed to investigate whether attentional bias to threat, commonly observed in clinically anxious children, also manifests in healthy children, potentially aiding the early detection of at-risk individuals. Additionally, it sought to explore the moderating role of parent-child attachment security on the association between vulnerability factors (anxiety sensitivity, intolerance of uncertainty, perseverative cognitions) as indicators of vulnerability to anxiety, and attentional bias towards threat in healthy children. A total of 95 children aged 8 to 12 years completed the Visual Search Task to assess attentional bias. Vulnerability to anxiety was measured using a composite score derived from the Childhood Anxiety Sensitivity Index, Intolerance of Uncertainty Scale for Children, and Perseverative Thinking Questionnaire. Parent-child attachment security was assessed using the Security Scale-Child Self-Report. Analyses revealed that higher vulnerability to anxiety was associated with faster detection of anger-related stimuli compared to neutral ones, and this association was further influenced by high maternal security. These findings in healthy children suggest an interaction between specific factors related to anxiety vulnerability and the security of the mother-child relationship, leading to cognitive patterns resembling those seen in clinically anxious individuals. These results hold promise for early identification of children at risk of developing anxiety disorders.

Prevalence and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa.

INTRODUCTION: Between 10 and 20% of children and adolescents globally experience common mental health conditions such as depression or anxiety. Given the dearth of mental health services in low- and middle-income countries, most mental health conditions among adolescents remain undiagnosed and untreated. In South Africa, few studies have explored the prevalence of depression and anxiety among young adolescents aged 10-14 years. This study examined the prevalence of, and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa. METHODS: A cross-sectional study was conducted in 10 schools in the Western Cape Province from February to July 2022. Data were collected using a tablet-based survey and included sociodemographic items, the Generalized Anxiety Disorder 7-item scale (GAD-7), the Patient Health Questionnaire for Adolescents (PHQ-A) and other psychosocial measures. The prevalence of depression and anxiety was estimated based on cut-off scores for the GAD-7 and PHQ-A. Multivariable logistic regression models were used to investigate the associations between sociodemographic and psychosocial factors, and depression and anxiety. RESULTS: Of the 621 adolescents, 33.5% (n = 208) reported experiencing symptoms of depression and 20.9% (n = 130) symptoms of anxiety potentially indicative of a diagnosis. The results of the multivariable logistic regression model indicate that being in a higher grade in school (AOR = 1.65, CI:1.43-1.92), any lifetime alcohol use (AOR = 1.62, CI:1.04-2.64), other drug use (AOR = 2.07, CI:1.06-4.04), and witnessing violence among adults at home (AOR = 2.12, CI:1.07-1.41) were significantly associated with experiencing depressive symptoms. Being in a higher grade in school (AOR = 1.69, CI: 1.42-2.01), poor emotional regulation skills (AOR = 1.03, CI: 1.00-1.07), and the use of cannabis (AOR = 1.03, CI: 1.00-1.07) were significantly associated with experiencing anxiety symptoms. CONCLUSION: These findings add to our understanding of school-going adolescents' pressing mental health needs and suggest that mental health adolescent and caregiver interventions may be required to address mental health symptoms and associated risk factors.

[Validation of screening method based on EEG analysis for the risk assessment of psychiatric and behavioral disorders: a pilot study]. / Validatsiya skriningovogo metoda na osnove analiza EEG dlya otsenki riskov psikhicheskikh i povedencheskikh rasstroistv: pilotnoe issledovanie.

OBJECTIVE: To assess the validity of the screening method based on EEG analysis using predictive analytics algorithms with the calculation of linear discriminant functions (LDFs), in comparison with a classification system based on psychometric self-report scales. MATERIAL AND METHODS: A comparative cross-sectional study with partial blinding involving healthy volunteers was conducted at two investigational sites. The calculated scores of LDFs used to assess risks of impulsivity, depression and anxiety acted as quantitative characteristics of subjects' mental state. Testing included completing psychometric scales. RESULTS: As a result of the performed validation of the original screening method based on EEG analysis in comparison with the scores of psychometric scales chosen as a reference method, satisfactory results were obtained with the best parameters of sensitivity, specificity, and accuracy for detecting high levels of impulsivity associated with pronounced aggressiveness. Of considerable interest is also the direct correlation found between high levels of LDF impulsivity scores and high levels of self-rated aggression on a psychometric scale (BPAQ-24). CONCLUSION: The results open up the possibility of using the proposed method to predict a number of emotional and behavioral characteristics of subjects, including a high risk of aggressive behavior as part of professional selection.

Anxiety symptoms preceding suicide: A Swedish nationwide record review.

BACKGROUND: The literature on the relationship between anxiety and suicidal behaviors is limited and findings are mixed. This study sought to determine whether physicians noted anxiety symptoms and suicidality in their patients in the weeks and months before suicide. METHODS: Data were derived from a nationwide medical record review of confirmed suicides in Sweden in 2015. Individuals with at least one documented physician consultation in any health care setting during 12 months before suicide (N = 956) were included. Clinical characteristics were compared between decedents with and without a notation of anxiety symptoms. Odds ratios were calculated to estimate associations between anxiety symptoms and suicidality in relation to suicide proximity. RESULTS: Anxiety symptoms were noted in half of individuals 1 week before suicide. Patients with anxiety were characterized by high rates of depressive symptoms, ongoing substance use issues, sleeping difficulties, and fatigue. After adjustment for mood disorders, the odds of having a notation of elevated suicide risk 1 week before death were doubled in persons with anxiety symptoms. Associations were similar across time periods (12 months - 1 week). Two-thirds had been prescribed antidepressants at time of death. LIMITATIONS: Data were based on physicians' notations which likely resulted in underreporting of anxiety depending on medical specialty. Records were not available for all decedents. CONCLUSIONS: Anxiety symptoms were common in the final week before suicide and were accompanied by increases in documented elevated suicide risk. Our findings can inform psychiatrists, non-psychiatric specialists, and GPs who meet and assess persons with anxiety symptoms.

The epidemiology of obsessive-compulsive disorder in the Kingdom of Saudi Arabia: Data from the Saudi National Mental Health Survey.

AIMS: There is ongoing debate about the extent to which the epidemiology of OCD is similar across the world, given the lack of nationally representative data from key regions like the Middle East and North Africa. Using the nationally representative dataset from the Saudi National Mental Health Survey (SNMHS), we aimed to delineate the epidemiological profile of OCD in the Saudi population. METHODS: A subsample of 1981 participants from the SNMHS was assessed. Prevalence estimates and correlates of OCD were determined using logistic regressions and cross tabulations. RESULTS: The lifetime, 12-month, and 30-day prevalence estimates for OCD were 4.2%, 1.8%, and 1.6%, respectively, with hoarding being the most common symptom dimension. The mean age-of-onset of OCD was 16.8 years. In over two-thirds of respondents with lifetime (72.2%) or 12-month (71.2%), OCD was accompanied by comorbid mental disorder, particularly impulse control, anxiety, and mood disorders. Among individuals with 12-month OCD, 77.5% reported severe impairment, and only 9.2% received treatment. CONCLUSIONS: In Saudi Arabia, OCD is a prevalent and persistent condition, characterized by early onset, high odds of mental comorbidity, and significant associated impairment. These findings emphasize the universality of OCD epidemiology and the need for improved diagnosis and treatment globally.

Climate change on the brain: Neural correlates of climate anxiety.

Climate change is a global crisis impacting individuals' mental health. Climate anxiety is an emerging area of interest within popular culture and the scientific community. Yet, little is known about the mechanisms underlying climate anxiety. We provide evidence that climate anxiety is related to gray matter volume in the midcingulate cortex as well as its level of functional connectivity with the insula cortex. These neuroanatomical and neurofunctional features of climate anxiety are involved in identifying and anticipating potential threats within the environment and preparing an appropriate action response to such threats. These neural correlates align with those observed in anxiety disorders. Yet, climate anxiety itself as well as the neural correlates of climate anxiety were related to pro-environmental behavior. This may suggest that the midcingulate and insula are part of a network linked to an adaptive aspect of climate anxiety in motivating behavioral engagement.