Comparison of attitudes toward schizophrenia among medical students and health professionals in Japan and their associated factorsamong medical students:a cross-sectional study.

Changing perceptions of schizophrenia is crucial for both medical professionals and students.　This study examined negative attitudes toward schizophrenia among medical students, psychiatrists, psychiatric staff, physicians, and non-medical workers.　We created an 18-item survey using a web-based tool to assess attitudes toward schizophrenia, focusing on three factors:stigma, underestimation of patients' abilities, and skepticism about treatment.　To compare scores among the five participants' groups, we used analysis of covariance, adjusting for age and sex.　The study included 237 medical students, 10 psychiatrists, 16 psychiatric staff, 26 physicians, and 98 non-medical workers.　After adjusting for age and sex, the overall discrimination score for psychiatrists was significantly lower than those of medical students, physicians, and non-medical workers.　Among medical students, a comparison of each score by grade revealed that underestimation of patients' abilities scores was significantly higher in the fourth year than in the third year.　Furthermore, those aspiring to become psychiatrists had significantly lower adjusted mean and stigma scores than students with different career goals (p<0.05).　In conclusion, medical students, as well as physicians and non-medical workers, displayed higher levels of stigma towards schizophrenia than psychiatrists.　It is essential to explore modifying factors to improve medical students' attitudes towards schizophrenia.

Development and validation of the modified Yale Food Addiction Scale for Children 2.0.

OBJECTIVE: Scientific interest in the concept of food addiction is growing, but more studies are needed in youth samples. Brief, psychometrically valid, and developmentally appropriate measures are needed to support the assessment of food addiction in large-scale studies of youth that need to minimize participant burden. While a brief version of the Yale Food Addiction Scale 2.0 (YFAS 2.0) exists for adults, no comparable scale exists for youth. Thus, the current study aimed to develop a brief and valid measure of food addiction for use in youth populations (the modified YFAS for children 2.0). METHOD: Data stem from the Food Addiction Denmark (FADK) Project, where random samples of 559 adolescents from the general population and 413 adolescents from a population with mental disorder completed the 35-item original YFAS for children 2.0 (YFAS-C 2.0). An abbreviated 13-item version was developed, and the psychometric properties of the modified YFAS-C 2.0 (mYFAS-C 2.0) were then evaluated. RESULTS: The mYFAS-C 2.0 exhibited a one-factor structure and was found to have sound psychometric properties regarding internal consistency and convergent, discriminant, and incremental validity. This was evident in both the general adolescent population sample and the sample of adolescents with mental disorders. CONCLUSIONS: The mYFAS-C 2.0 provides a brief and psychometrically valid measure of food addiction for youth, which may be beneficial for study designs (e.g., epidemiological samples) that aim to minimize participant burden. Future research on the test-retest reliability of the mYFAS-C 2.0 and its psychometric properties in younger children are important next steps.

New psychoactive substances - 96 cases of deaths related to their use based on the material originating from forensic toxicological practice.

Among the emerging investigative fields, forensic medicine and toxicology lead to analyzing fatalities in medico-legal expert opinion formulating. While discussing the problem, the authors have selected 96 fatal cases from their expert practice including the period from 2010 to 2023, in which deaths were connected with taking new psychoactive substances (NPS's) belonging to various chemical categories, mainly synthetic cathinones (SC), synthetic cannabinoids (SCan) and non-medical synthetic opioids (NSO). In the investigated cases, toxicological analysis revealed 37 NPS's and their 9 metabolites. The cases involved the use of SC's (64 cases - 67 %), Scan's, including their metabolites (10 cases - 10 %) and NSO's, including their metabolites (6 cases - 6 %). The remaining cases involved the simultaneous use of NSO with SC and/or SCan, including their metabolites (8 cases - 8 %), or SC with SCan (5 cases - 5 %). In three cases (3 %), compounds belonging to other groups were taken. In twenty-five cases, more than one NPS was found. Moreover, in twenty-seven cases, ethyl alcohol was also detected at the concentration range of 0.6-3.6 ‰. The concentration of xenobiotics determined in blood represented extensive ranges of concentration. The victims were at the age of 16-58 years of life. The group included eleven women (11 %). Generally, the deaths related to NPS's were predominantly of an accidental character (81 %), while the manner of death in sixteen cases (17 %) was suicide, including hanging (5 cases), jumping from a great height (3 cases), self-injury and exsanguination (1 case), as well as acute drug intoxication (6 cases) and intoxication with central nervous system hypoxia after an hanging (1 case). Among the analyzed cases there were two victims of homicide (2 %), in one of which the perpetrator being under the influence of the mixture of the synthetic opioid U-47700 and synthetic cannabinoid AB-FUBINACA. In twenty-eight cases, medications used in psychiatry were found, which suggested that the victims were struggling with mental problems before death. As it was implied by the available information, more than 36 % of the victims had mental problems.

[Electroconvulsive therapy in people with intellectual disability]. / Elektrokonvulsionstherapie bei Menschen mit Intelligenzminderung.

Electroconvulsive therapy (ECT) is a highly effective treatment option for severe mental illness. Although people with intellectual disability (ID) have similar prevalence rates of mental disorders in comparison to the general population their access to ECT remains challenging. A systematic literature review was carried out on treatment with ECT in patients with ID and a case report on a patient with ID who underwent ECT is presented, to highlight a typical clinical routine. A total of 100 articles with 208 different case reports were retrieved. In summary, the results underline the effectiveness of ECT in people with ID, with side effects comparable to those in the general population. The ECT is effective in the treatment of severe affective and psychotic disorders and particularly in people with catatonia. The use of ECT can improve the patient's mental health and quality of life and is often a life-saving treatment option. The prophylaxis of relapses should be included as early as possible in the planning process. Providing an easy access to ECT treatment for people with ID is corroborated by its effectiveness and is in line with the right to equal treatment in accordance with article 25 of the United Nations Convention on the Rights of Persons with Disabilities.

Effects of distant biofield energy healing on adults associated with psychological and mental health-related symptoms: a randomized, placebo-controlled, double-blind study.

Background: In recent years, popularity of Biofield energy healing therapy has increased tremendously parallel to conventional therapy. However, due to insufficient scientific studies on biofield therapies, authors planned this clinical trial to examine the safety and effectiveness of biofield therapy in treating symptoms of psychological and mental health and to explore parameters for its effectiveness. Methods: One hundred fourteen participants (55 male, 59 female) underwent clinical trials. This trial was randomized, placebo-controlled, three parallel-groups, double-blind, and single-center with subjects who have one or more psychological and mental symptoms. Two sessions of distant (virtual) biofield energy attunement were given on days 0 and 90 for about 5 minutes to the subjects of biofield intervention group (n=39). Besides, control (n=35) and sham control (n=40) group subjects also received kind of treatment in a similar manner to nullify baseline responses. Subjects were assessed by psychological questionnaire scoring using standard scale of assessment and safety parameters. Results: Perceived psychological symptoms/scores (fatigue/tiredness, sleep disturbances, stress, cognitive impairment, loss of memory, mental restlessness, emotional trauma, anxiety, depression, confusion, financial crises and dissatisfaction, low libido, motivation, confidence, lack of perception, relationship, and social behaviors, etc.) were significantly (p <.0001) improved in biofield intervention group compared to the naïve control and sham control groups. Besides, biofield intervention did not show any study-related adverse effects in all three groups throughout the trial. Conclusions: The distant (virtual) biofield energy healing therapy significantly improved psychological and mental health-related symptoms without affecting safety concerns, and improved overall health and quality of life.

Neural Basis of Pain Empathy Dysregulations in Mental Disorders - A Pre-registered Neuroimaging Meta-Analysis.

BACKGROUND: Pain empathy represents a fundamental building block of several social functions, which have been demonstrated to be impaired across various mental disorders by accumulating evidence from case-control functional magnetic resonance imaging (fMRI) studies. However, it remains unclear whether the dysregulations are underpinned by robust neural alterations across mental disorders. METHODS: This study utilized coordinate-based meta-analyses to quantitatively determine robust markers of altered pain empathy across mental disorders. To support the interpretation of the findings exploratory network-level and behavioral meta-analyses were conducted. RESULTS: Quantitative analysis of eleven case-control fMRI studies with data from 296 patients and 229 controls revealed patients with mental disorders exhibited increased pain empathic reactivity in the left anterior cingulate gyrus, adjacent medial prefrontal cortex, and right middle temporal gyrus, yet decreased activity in the left cerebellum IV/V and left middle occipital gyrus compared to controls. The hyperactive regions showed network-level interactions with the core default mode network (DMN) and were associated with affective and social cognitive domains. CONCLUSIONS: The findings suggest that pain-empathic alterations across mental disorders are underpinned by excessive empathic reactivity in brain systems involved in empathic distress and social processes, highlighting a shared therapeutic target to normalize basal social dysfunctions in mental disorders.

Prevalence of anxiety, depression, and post-traumatic stress disorder among paramedic students: a systematic review and meta-analysis.

PURPOSE: There are elevated mental health concerns in paramedic students, but estimates vary between studies and countries, and no review has established the overall prevalence. This systematic review addressed this by estimating the global prevalence of common mental health disorders, namely anxiety, depression, and post-traumatic stress disorder (PTSD), in paramedic students internationally. METHODS: A systematic search of six databases, including MEDLINE, EMBASE, PsycINFO, CINAHL, Scopus, and medRxiv, was conducted to identify studies relating to mental health among paramedicine students. The search encompassed studies from inception until February 2023. To be considered for inclusion in the review, the studies had to report prevalence data on at least one symptom of anxiety, depression, or PTSD in paramedicine students, using quantitative validated scales. The quality of the studies was assessed using Joanna Briggs Institute (JBI) Checklist, which is a specific methodological tool for assessing prevalence studies. Subgroup analyses were not conducted due to insufficient data. RESULTS: 1638 articles were identified from the searches, and 193 full texts were screened, resulting in 13 papers for the systematic review and meta-analysis. The total number of participants was 1064 from 10 countries. The pooled prevalence of moderate PTSD was 17.9% (95% CI 14.8-21.6%), anxiety was 56.4% (95% CI 35,9-75%), and depression was at 34.7% (95% CI 23.4-48.1%). CONCLUSION: This systematic review and meta-analysis has found that paramedicine students globally exhibit a high prevalence of moderate PTSD, anxiety, and depression. The prevalence of these mental health conditions surpasses those among paramedic providers and the general population, as indicated by previous reviews. Further research is therefore warranted to determine appropriate support and interventions for this group.

Plant extracts as emerging modulators of neuroinflammation and immune receptors in Alzheimer's pathogenesis.

Memory loss is becoming an increasingly significant health problem, largely due to Alzheimer's disease (AD), which disrupts the brain in several ways, including causing inflammation and weakening the body's defenses. This study explores the potential of medicinal plants as a source of novel therapeutic agents for AD. First, we tested various plant extracts against acetylcholinesterase (AChE) in vitro, following molecular docking simulations with key AD-related protein targets such as MAO-B, P-gp, GSK-3ß, and CD14. Rosemary extract was found to be the most inhibitory towards AChE. The compounds found in rosemary (oleanolic acid), sage (pinocembrin), and cinnamon (italicene) showed promise in potentially binding to MAO-B. These chemicals may interact with a key protein in the brain and alter the production and removal of amyloid-ß. Luteolin (from rosemary), myricetin (from sage), chamigrene, and italicene (from cinnamon) exhibited potential for inhibiting tau aggregation. Additionally, ursolic acid found in rosemary, sage, and chamigrene from cinnamon could modulate CD14 activity. For the first time, our findings shed light on the intricate interplay between neuroinflammation, neuroprotective mechanisms, and the immune system's role in AD. Further research is needed to validate the in vivo efficacy and safety of these plant-derived compounds, as well as their interactions with key protein targets, which could lead to the development of novel AD therapeutics.

Experiences of individuals with serious mental disorders in regular employment through the Individual Placement and Support model.

Introduction: This study shows the perspective, meaning and satisfaction perceived by people with Serious Mental Disorders during their experiences in regular employment. Methods: A mixed qualitative-quantitative methodology was used, applying semi-structured interview as qualitative information collection tool and the Indiana Job Satisfaction Scale as quantitative tool. The study period was from January 2021 to December 2022. A purposive sampling was performed with a sample of 24 people with Serious Mental Disorders who had obtained a job through an Individual Placement and Support (IPS) program during the study period. Semi-structured interview and the Indiana Job Satisfaction Scale were applied to this Serious Mental Disorder workers' sample. The Indiana Job Satisfaction Scale was also applied to a group of 24 workers without mental disorders in the same working conditions who served as control group. Results: The results of the analyses of the Serious Mental Disorder workers' narratives show that perception of work experience is conditioned by individual, environmental and social predictors, as well as external factors as determining variables. Quantitative results obtained by the Indiana Job Satisfaction Scale reveal levels of job satisfaction resembling those of the rest of workers without Serious Mental Disorder. Discussion: These findings reinforce the significance of employment in the recovery process for individuals with Serious Mental Disorders and emphasize the importance of understanding the subjective meaning individuals attribute to their work experiences.

The Perniciousness and Promise of School-Based Mental Health Service Delivery for Youth.

Rates of child and adolescent mental disorder have risen sharply while access to community-based mental health care options continues to be elusive for many families. Substantial and persistent barriers to community-based mental health care have prompted multiple stakeholders to pursue an approach that emphasizes health promotion and intervention practices within the context of ecologically valid and more accessible environments. The most prominent of these environments has been schools that can serve as local and centralized access points to various services, including mental health care. The rapid expansion of school-based mental health service delivery systems, however, carries both risk of perniciousness as well as significant promise with respect to effective and equitable care. This article summarizes key concerns surrounding school-based mental health service delivery systems, including non-beneficence and harm, support disparities, unsustainable implementation, oppressive school climate, and linkage to punitive and discriminatory practices. Broad-based recommendations to help realize the promise of effective and equitable care for students with mental health and behavioral challenges are also presented vis-à-vis each of these concerns. At the same time, natural tensions between various mandates assigned to schools as well as between schools and their surrounding communities will need to be addressed to reach the full potential of school-based mental health service delivery systems.

Racial disparities influence access and outcomes in talking therapies.

The National Health Service Race and Health Observatory provides an evidence-based approach to tackling racial disparities in health and making policy recommendations. Its Mental Health Advisory Group is responsible for commissioning research into racial and ethnic disparities in mental health, and in this regard, improving access to psychological therapies became a key focus.

Prevalence of harassment, abuse, and mental health among current and retired senior Swedish cheerleaders.

This study examined the prevalence of non-accidental violence, focusing on experienced harassment and abuse (HA), and mental health among current and retired Swedish competitive cheerleaders. An online survey was distributed to current and retired athletes in the Swedish cheerleading federation. The survey assessed perceived coach-athlete relationship, sport psychological safety, resilience, mental health, and experienced HA within the cheerleading environment. A total of 284 athletes (men = 5; women = 278; gender not disclosed = 1; current athletes = 211; retired athletes = 73) completed the survey. Psychological abuse was the most frequently reported HA form (current athletes = 21.6%; retired athletes = 53.5%), followed by neglect (current athletes = 5.4%; retired athletes: 26.8%) and physical abuse (current athletes = 3.9%; retired athletes = 12.7%). A high-quality coach-athlete relationship was identified as a protective factor for HA. Additionally, 33.1% and 8.9% of participants displayed scores indicating anxiety and depression caseness, while 63.8% reported a high level of wellbeing. Anxiety/depression scores above clinical cut-off were linked to injury episodes and a high level of wellbeing to a mentally healthy environment. Resilience was found to protect mental health overall. The high occurrence of reported psychological abuse and indications of anxiety/depression related to injury episodes suggest a need of attention towards prevention and athlete protection strategies in cheerleading environments.

Feuerstein Instrumental Enrichment Program for People With Schizophrenia After the First Episode of Psychosis: Protocol for an Open-Label Intervention Study.

BACKGROUND: Schizophrenia is a disorder associated with neurocognitive deficits that adversely affect daily functioning and impose an economic burden. Cognitive rehabilitation interventions, particularly during the early phases of illness, have been shown to improve cognition, functionality, and quality of life. The Feuerstein Instrumental Enrichment (FIE) program, based on the Mediated Learning Experience and the Structural Cognitive Modifiability theory, has been applied in various disorders, but its applicability in schizophrenia has not yet been clarified. OBJECTIVE: This study aims to investigate the effects of the FIE program on the functionality of patients with first-episode schizophrenia. METHODS: In total, 17 patients will be recruited for an open-label intervention consisting of twice-weekly sessions for 10 weeks. The primary outcome measure will be changes in the Goal Achievement Scale score. Maze task performance from the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) battery will serve as a secondary outcome measure. At the same time, changes in Positive and Negative Syndrome Scale scores and other MATRICS domains will be analyzed as exploratory outcomes. Assessments will be administered before and after the intervention, with a follow-up period of 6 months. RESULTS: This trial was preregistered in The Brazilian Registry of Clinical Trials (RBR-4gzhy4s). By February 2024, 11 participants were enrolled in the training. Recruitment is expected to be completed by May 2024. Data analysis will be conducted between May and September 2024. The results are expected to be published in January 2025. CONCLUSIONS: This study may establish a protocol for the FIE program that uses mediation techniques for individuals in the early stages of schizophrenia. The results will add to the knowledge about strategies to promote cognitive skills and functional impairment in daily life. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57031.

Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia.

Accurate diagnosis of mental disorders is expected to be achieved through the identification of reliable neuroimaging biomarkers with the help of cutting-edge feature selection techniques. However, existing feature selection methods often fall short in capturing the local structural characteristics among samples and effectively eliminating redundant features, resulting in inadequate performance in disorder prediction. To address this gap, we propose a novel supervised method named local-structure-preservation and redundancy-removal-based feature selection (LRFS), and then apply it to the identification of meaningful biomarkers for schizophrenia (SZ). LRFS method leverages graph-based regularization to preserve original sample similarity relationships during data transformation, thus retaining crucial local structure information. Additionally, it introduces redundancy-removal regularization based on interrelationships among features to exclude similar and redundant features from high-dimensional data. Moreover, LRFS method incorporates l2,1 sparse regularization that enables selecting a sparse and noise-robust feature subset. Experimental evaluations on eight public datasets with diverse properties demonstrate the superior performance of our method over nine popular feature selection methods in identifying discriminative features, with average classification accuracy gains ranging from 1.30 % to 9.11 %. Furthermore, the LRFS method demonstrates superior discriminability in four functional magnetic resonance imaging (fMRI) datasets from 708 healthy controls (HCs) and 537 SZ patients, with an average increase in classification accuracy ranging from 1.89 % to 9.24 % compared to other nine methods. Notably, our method reveals reproducible and significant changes in SZ patients relative to HCs across the four datasets, predominantly in the thalamus-related functional network connectivity, which exhibit a significant correlation with clinical symptoms. Convergence analysis, parameter sensitivity analysis, and ablation studies further demonstrate the effectiveness and robustness of our method. In short, our proposed feature selection method effectively identifies discriminative and reliable features that hold the potential to be biomarkers, paving the way for the elucidation of brain abnormalities and the advancement of precise diagnosis of mental disorders.

3-generation family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism: An open-source catalog of findings.

The relatively few conditions and family member types (e.g., sibling, parent) considered in investigations of family health history in autism spectrum disorder (ASD, or autism) limits understanding of the role of family history in autism etiology. For more comprehensive understanding and hypothesis-generation, we produced an open-source catalog of autism associations with family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions. All live births in Denmark, 1980-2012, of Denmark-born parents (1,697,231 births), and their 3-generation family members were followed through April 10, 2017 for each of 90 diagnoses (including autism), emigration or death. Adjusted hazard ratios (aHR) were estimated via Cox regression for each diagnosis-family member type combination, adjusting for birth year, sex, birth weight, gestational age, parental ages at birth, and number of family member types of index person; aHRs also calculated for sex-specific co-occurrence of each disorder. We obtained 6462 individual family history aHRS across autism overall (26,840 autistic persons; 1.6% of births), by sex, and considering intellectual disability (ID); and 350 individual co-occurrence aHRS. Results are cataloged in interactive heat maps and down-loadable data files: https://ncrr-au.shinyapps.io/asd-riskatlas/ and interactive graphic summaries: https://public.tableau.com/app/profile/diana.schendel/viz/ASDPlots_16918786403110/e-Figure5. While primarily for reference material or use in other studies (e.g., meta-analyses), results revealed considerable breadth and variation in magnitude of familial health history associations with autism by type of condition, family member type, sex of the family member, side of the family, sex of the index person, and ID status, indicative of diverse genetic, familial, and nongenetic autism etiologic pathways. Careful attention to sources of autism likelihood in family health history, aided by our open data resource, may accelerate understanding of factors underlying neurodiversity.

The Realities of Caring for a Person with a Mental Disorder in Rural and Remote Capricorn District of South Africa: A Qualitative Study.

In rural African communities, family caregivers shoulder the responsibility of caring for loved ones with mental disorders, often without professional support. This qualitative explorative study, conducted in Limpopo Province, South Africa, aimed to explore the realities of caring for a family member with a mental disorder in rural and remote Capricorn District, in order to uncover insights that can inform support systems, the academic community, interventions, and policies. Non-probability purposive sampling was used to ensure the reproducibility and validity of the results by focusing on participants who are actively involved in caregiving, living in the rural and remote of Capricorn District, in order to provide a comprehensive understanding of their experiences, and this resulted in 15 participants (13 females, 2 males). Data saturation determined the sample size, with data collected through in-depth interviews and analyzed using Tesch's open-coding method. The findings revealed that cultural and spiritual beliefs strengthen caregivers, who exhibit resilience and resourcefulness, yet face financial strain, career setbacks, social isolation, and health declines. The study underscores the critical role of healthcare professionals in recognizing and addressing the challenges faced by family caregivers, while also advocating for the academic community to prioritize the development and dissemination of educational programs focused on safe and ethical coping strategies for caregivers and for policymakers to develop comprehensive mental health services that are accessible and culturally sensitive to rural and remote communities. This is essential because the well-being of caregivers directly influences the rehabilitation and community integration outcomes for individuals with mental disorders.

Mobile mental health application use, and app feature preferences among individuals with mental disorders in Ethiopia: A cross-sectional survey.

BACKGROUND: Mobile health applications have been shown to assist in the treatment of mental illnesses, yet their potential remains underutilized. As supportive care, mental health applications use may be useful tools in improving mental health literacy and treatment outcomes, but patients' use of and interest in using these apps have not been studied in low-income countries like Ethiopia. This study explores the determinants of patients' mental health app use interests and app feature preferences. METHODS: A cross-sectional study was conducted with 419 outpatient individuals with mental health disorders at Amanuel Mental Specialized Hospital, Ethiopia, between October and November 2023, using a convenience sampling method. Patients' self-reported mental health app use, interests, attitudes, and app feature preferences were collected. A multivariate logistic regression model was used to identify the associated factors. RESULTS: Overall prevalence of not interested, somewhat interested, interested, and extremely interested in mental health app use was 5.3 %, 16.9 %, 27.7 %, and 50.1 % respectively. The proportion of current mental health apps use was low (21.2 %). Current mental health app use is associated with living in an urban area (AOR = 6.69, CI: 3.19-14) and having a higher education level (4.12 (2.02-8.04). Furthermore, app features such as psychoeducation, symptom tracking, and self-management techniques ranked as the most preferred app features. CONCLUSIONS: Most study participants were interested in using mental health apps, but only about one in four were using mental health apps. This suggests promise for their utility in the Ethiopian context. App developers and policymakers should consider rural residents', lower educational levels, and patient app preferences when developing these applications.

Learning functional brain networks with heterogeneous connectivities for brain disease identification.

Functional brain networks (FBNs), which are used to portray interactions between different brain regions, have been widely used to identify potential biomarkers of neurological and mental disorders. The FBNs estimated using current methods tend to be homogeneous, indicating that different brain regions exhibit the same type of correlation. This homogeneity limits our ability to accurately encode complex interactions within the brain. Therefore, to the best of our knowledge, in the present study, for the first time, we propose the existence of heterogeneous FBNs and introduce a novel FBN estimation model that adaptively assigns heterogeneous connections to different pairs of brain regions, thereby effectively encoding the complex interaction patterns in the brain. Specifically, we first construct multiple types of candidate correlations from different views or based on different methods and then develop an improved orthogonal matching pursuit algorithm to select at most one correlation for each brain region pair under the guidance of label information. These adaptively estimated heterogeneous FBNs were then used to distinguish subjects with neurological/mental disorders from healthy controls and identify potential biomarkers related to these disorders. Experimental results on real datasets show that the proposed scheme improves classification performance by 7.07% and 7.58% at the two sites, respectively, compared with the baseline approaches. This emphasizes the plausibility of the heterogeneity hypothesis and effectiveness of the heterogeneous connection assignment algorithm.

Distinct impulsivity profiles in subtypes of violence among community-dwelling patients with severe mental disorders: a longitudinal study.

BACKGROUND: Although only a few patients with severe mental disorders (SMD) can commit violent behaviour in the community, violent behaviour aggravates the stigma towards patients with SMD. Understanding the subtypes of violent behaviour may be beneficial for preventing violent behaviour among patients with SMD, but it has rarely been studied. METHODS: This longitudinal study investigated 1914 patients with SMD in the community at baseline, and the follow-up period ranged from February 2021 to August 2021. The Barratt Impulsiveness Scale Version-11, the Buss-Perry Aggression Questionnaire, the Impulsive/Premeditated Aggression Scale, the Personality Diagnostic Questionnaire and the MacArthur Community Violence Instrument were used at baseline. The Modified Overt Aggression Scale was used to assess the occurrence of violent behaviour (outcome) during the follow-up period. Cox regression models were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). Latent class analysis was used to characterise the subtypes of patients with SMD who engaged in violent behaviour at follow-up. RESULTS: We found that 7.2% of patients with SMD presented violent behaviour within six months in the community. Younger age (OR = 0.98, 95% CI = 0.96-1.00, p = 0.016) and no economic source (OR = 1.60, 95% CI = 1.10-2.33, p = 0.014) were risk factors for violent behaviour. Patients with SMD who engaged in violent behaviour could be classified into three subtypes: one class characterised by a history of violence and impulsivity, another class characterised by high levels of aggression and motor impulsivity, and the last class characterised by median cognitive impulsivity. CONCLUSIONS: Socio-demographic factors were risk factors for violent behaviour among patients with SMD, which could eliminate the discrimination toward this group. Impulsivity played a vital role in identifying the three subtypes of patients with SMD who engaged in violent behaviour. These findings may be helpful for the development of a personalised violence risk management plan for patients with SMD who commit violent behaviour in the community.

Quality of life among people with mental illness attending a psychiatric outpatient clinic in Ethiopia: a structural equation model.

Background: Mental illness is one of the most severe, chronic, and disabling public health problems that affects patients' Quality of life (QoL). Improving the QoL for people with mental illness is one of the most critical steps in stopping disease progression and avoiding complications of mental illness. Therefore, we aimed to assess the QoL and its determinants in patients with mental illness in outpatient clinics in Northwest Ethiopia in 2023. Methods: A facility-based cross-sectional study was conducted among people with mental illness in an outpatient clinic in Ethiopia. The sampling interval was decided by dividing the total study participants who had a follow-up appointment during the data collection period (2400), by the total sample size 638, with the starting point selected by lottery method. The interviewer-administered WHOQOL BREF-26 tool was used to measure the quality of life (QoL) of people with mental illness. The domains of QoL were identified, and indirect and direct effects of variables were calculated using structural equation modelling with SPSS-28 and Amos-28 software. A p-value of < 0.05 and a 95% CI were used to evaluate statistical significance. Results: A total of 636 (99.7%) participants agreed to participate and completed the data collection. The mean score of overall QoL of people with mental illness in the outpatient clinic was 49.6 ± 10 Sd. The highest QoL was found in the physical health domain (50.67 ± 9.5 Sd), and the lowest mean QoL was found in the psychological health domain (48.41 ± 10 Sd). Rural residence, drug nonadherence, suicidal ideation, not getting counselling, moderate or severe subjective severity, family does not participate in patient care and a family history of mental illness had an indirect negative effect on QoL. Alcohol use and psychological health domain had direct positive effect on QoL. Furthermore, objective severity of illness, having low self-esteem, and having history of mental illness in the family had both direct and indirect effect on QoL. Furthermore, sociodemographic factors (rural residence, illiterate educational status, not married marital status), social support-related factors (poor self-esteem, family not participating in patient care), substance use factors (alcohol use, tobacco use) and clinical factors (high objective and subjective severity of illness, not getting counselling, suicidal ideation, higher number of episodes, comorbid illness, family history of mental illness, poor drug adherence) directly and indirectly affected QoL. Conclusions: In this study, the QoL of people with mental illness was poor, with the psychological health domain the most affected. Sociodemographic factors, social support-related factors, drug use factors, and clinical factors, directly and indirectly affected QoL through the mediator variables of physical health domains, psychological health domains, social relation health domains, and environmental health domains. In order to improve the QoL of people with mental illnesses, we recommend that emphasis be given to addressing the QoL of those with mental illness, including the development of policy and practice responses that address the above identified factors.