Prevalência de transtornos psiquiátricos de pessoas em situação de rua em um grande centro urbano no Brasil / Prevalence of psychiatric disorders in homeless people in a large urban center in Brazil / Prevalencia de trastornos psiquiátricos en personas sin hogar en un gran centro urbano de Brasil

Introdução: O presente estudo visa descrever as condições de saúde mental mais prevalentes na população de rua em um grande centro urbano brasileiro. Objetivo: Descrever as condições de saúde mental mais prevalentes na população de moradores de rua em um grande centro urbano brasileiro. Métodos: Este é um estudo transversal realizado nas regiões centrais e periferias da cidade de São Paulo (SP), Brasil. Para a descrição dos transtornos psiquiátricos utilizamos o Patient Health Questionnaire-9 (PHQ-9) para sintomas depressivos, item 9 do Inventário de Depressão de Beck para ideação suicida, pergunta autorreferida para uso de álcool e drogas ilícitas e item 3 do PHQ-9 para qualidade do sono. Resultados: A média de idade dos participantes foi de 44,54 (desvio padrão ­ DP=12,63) anos, e a maioria era do sexo masculino (n=342; 75%). Quanto à frequência de transtornos psiquiátricos identificados, 49,6% (n=226) dos participantes apresentaram sintomas depressivos, 29,8% (n=136) exibiram ideação suicida, 55,7% (n=254) informaram uso de álcool semanalmente, 34,2% (n=156) informaram usar drogas ilícitas semanalmente e 62,3% (n=284) tinham problemas com sono. Conclusões: A prevalência de condições que afetam a saúde mental entre os participantes é alta. Estes resultados poderão auxiliar profissionais de saúde na elaboração de estratégias de prevenção e tratamento nessa população, pouco estudada.

Introduction: The present study aims to describe the most prevalent mental health conditions in the homeless population in a large Brazilian urban center. Objective: To describe the most prevalent mental health conditions in the population of homeless people in a large Brazilian urban center. Methods: This is a cross-sectional study carried out in the central and periphery regions of São Paulo, state of São Paulo, Brazil. For the description of psychiatric disorders, the following instruments were used: Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms, item 9 of the Beck Depression Inventory for suicidal ideation, the self-reported question for the use of alcohol and illicit drugs, and item 3 of the PHQ-9 for sleep quality. Results: The mean age of participants was 44.54 (Standard Deviation=12.63) years, and most were men (n=342; 75%). Regarding the frequency of the identified psychiatric disorders, 49.6% (n=226) of the participants had depressive symptoms, 29.8% (n=136) had suicidal ideation, 55.7% (n=254) reported weekly alcohol use, 34.2% (n=156) reported using illicit drugs weekly, and 62.3% (n=284) had sleep problems. Conclusions: The prevalence of conditions that affect mental health among participants is high. These results may help health professionals to develop prevention and treatment strategies for this understudied population.

Introducción: El presente estudio tiene como objetivo describir las condiciones de salud mental más prevalentes en la población sin hogar en un gran centro urbano brasileño. Objetivo: Describir las condiciones de salud mental más prevalentes en la población de personas sin hogar en un gran centro urbano brasileño. Métodos: Se trata de un estudio transversal realizado en las regiones central y periférica de São Paulo, SP, Brasil. Para la descripción de los trastornos psiquiátricos se utilizó el Cuestionario de Salud del Paciente - 9 (PHQ-9) para síntomas depresivos, el ítem 9 del Inventario de Depresión de Beck para ideación suicida, la pregunta autorreportada para uso de alcohol y drogas ilícitas y ítem 3 del PHQ-9 para la calidad del sueño. Resultados: La edad media de los participantes fue de 44,54 (DE=12,63) años, y la mayoría eran hombres (n=342; 75%). En cuanto a la frecuencia de los trastornos psiquiátricos identificados, el 49,6% (n=226) de los participantes presentaba síntomas depresivos, el 29,8% (n=136) tenía ideación suicida, el 55,7% (n=254) refería consumo semanal de alcohol, el 34,2% (n=156) refirió consumir drogas ilícitas semanalmente y el 62,3% (n=284) presentaba problemas de sueño. Conclusiones: La prevalencia de condiciones que afectan la salud mental entre los participantes es alta. Estos resultados pueden ayudar a los profesionales de la salud a desarrollar estrategias de prevención y tratamiento para esta población poco estudiada.

Thriving beyond the stethoscope: Unveiling positive mental health among medical students at a University in South Africa.

Introduction: Medical education presents significant challenges for medical students' mental health. Medical students are a vulnerable group, experiencing higher rates of mental health disorders, which can have implications for their well-being and academic performance. Consequently, evaluating Positive mental health (PMH) has become significant in a contemporary and demanding society, particularly among university students. Aim: This study aimed to assess the levels of PMH and identify the association between PMH domains and socio-demographic and health related variables among medical students enrolled at a university in South Africa. Methods: This quantitative, descriptive, and cross-sectional survey was conducted with 144 undergraduate medical students. Data were collected using a multi-dimensional PMH instrument and a sociodemographic and health related questionnaire, from 144 undergraduate medical students. The university's Research and Ethics Committee granted ethical clearance for the study. Results: The data were analysed using IBM SPSS version 29. The majority of the students were older than 20 years (79.2 %, n = 114), had no prior history of psychiatric illness, and had not previously taken any psychiatric medication (94.4 %, n = 136). More than half of the participants were single (66 %, n = 95), identified as Christians (76.4 %, n = 110), received a bursary (78.5 %, n = 113), had families living in rural areas (71.5 %, n = 103) and resided in the university housing (73.6 %, n = 106). Gender (p = 0.01), age (p = 0.02), religious affiliation (p = 0.03), history of psychiatric illness (p = 0.05) and treatment for psychiatric illness (p = 0.05) had a significant influence on the Total PMH score. Male participants reported higher mean scores in most PMH domains, excluding emotional support and spirituality domains. Participants aged between 22 and 23 years reported lower mean scores in Total PMH and most PMH domains. There is a significant difference in mean scores with gender (p = 0.02) and religious affiliation (p = 0.00) in the spirituality domain. Conclusion: The study results emphasised the complex nature of mental health and provided a rationale for assessing the various aspects of PMH in university students. By implementing evidence-based strategies and providing adequate support, medical schools can better support the mental health and well-being of their students, ultimately cultivating a healthier and more resilient future healthcare workforce.

Personality interferences in the pathology of breast cancer: a cross-sectional single-center study.

Individual personality refers to the Ego and the interpersonal sector. The Ego corresponds to consciousness and self-esteem, including the capacities for emotional self-regulation, self-control, self-evaluation, and self-direction in relation to personal goals. When neoplastic and psychiatric diseases coexist, a patient's quality of life is significantly impacted. While there are somatic differences in disease progression, how the illness is perceived and mainly experienced depends on personality traits. In this study, we administered the DECAS Personality Inventory (a Romanian-validated instrument based on the Five-Factor model of personality) to a group of 121 patients diagnosed with breast cancer to explore the relationships among their personality traits. Descriptive statistics revealed that the mean T scores for openness, extroversion, and emotional stability were low, while the scores for conscientiousness and agreeableness were at an average level. Our findings suggest that, in the studied group, low levels of emotional stability, extroversion, and openness were unfavorable personality dimensions that should be a primary focus of therapeutic strategies, as they significantly affect the quality of life in patients with breast cancer.

Connecting the dots: Network structures of internalizing and functional symptoms in a population-based cohort.

OBJECTIVE: Comorbidities between internalizing disorders (IDs) and functional disorders (FDs) are well-documented, indicating shared pathways. However, their symptom-level relationships have been largely unexplored. This exploratory study employs a network approach to investigate symptoms of major depressive disorder (MDD), generalized anxiety disorder (GAD), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), fibromyalgia (FM), and irritable bowel syndrome (IBS) to identify bridge symptoms explaining comorbidity between the two domains. METHODS: We used cross-sectional data on 72,919 adult subjects from the Lifelines Cohort Study, a Dutch general population sample. A total of 38 symptoms representing diagnostic criteria of IDs and FDs were assessed with validated questionnaires. Network models were estimated using eLasso, based on the Ising model, to identify bridge symptoms. The Network Comparison Test (NCT) was used to test whether there were differences in network structure and strength across sex and age. RESULTS: Symptoms were moderately connected, with a network density of 52.7%. ID and FD symptoms clustered in their respective domains, but were connected through the bridge symptoms, fatigue, difficulty concentrating, trouble sleeping, and unrefreshing sleep. Fatigue and difficulty concentrating had the most connections, associated with 86.6% and 78.9% of the other symptoms, respectively. NCTs indicated no differences in network connectivity between females versus males or younger versus older adults (>50 years). CONCLUSIONS: ID and FD symptoms are moderately interconnected. Bridge symptoms displaying strong connections to multiple disorders may play a central role in the mechanisms underpinning the comorbidity between IDs and FDs.

Does child abuse predict a population segment with large economic burden?

OBJECTIVES: The enormous societal and individual consequences of mental health disorders and detrimental health behaviours in the general population are of paramount concern. Many argue that 'prevention is the best cure', pushing for the implementation of early (preventive) interventions. Key questions regarding early interventions include which population segment to target for screenings and what information these screenings should focus on. In line with previous efforts, this study aimed to identify which population segment holds the majority (≥ 80 %) of different economically costly outcomes in society, and whether child abuse before the age of 16 years predicts being part of that population segment. STUDY DESIGN: Epidemiological cohort study. METHODS: This study used the Netherlands Mental Health Survey and Incidence Study-2, a Dutch epidemiological cohort study including 6646 adults aged 18-64 years at baseline, spanning four timepoints from 2007 to 2018. Cumulative distributions were computed to identify high-cost population segments of economically costly outcomes in adulthood (i.e., mental and physical health [behaviours], unemployment and work absenteeism). Child abuse was examined as a potential predictor of these segments and the risk of multiple high-cost population segment membership was investigated by conducting Poisson regressions. RESULTS: A 20 % population segment carried between 42 % and 100 % of economically costly outcomes. Being exposed to more child abuse predicted being in a high-cost population segment, albeit with small effect sizes. Being exposed to more child abuse also predicted belonging to multiple high-cost population segments across different economically costly outcomes. CONCLUSIONS: The study findings have implications for policy makers. Emphasis should be placed on prevention aimed at identifying potential members of multiple high-cost population segments.

Self-reported workplace bullying and subsequent risk of diagnosed mental disorders and psychotropic drug prescriptions: A register-based prospective cohort study of 75,252 participants.

BACKGROUND: Evidence concerning workplace bullying as a risk factor for mental disorders is currently limited to depressive disorders and mainly based on non-clinical assessments. This study aims to examine the prospective association of self-reported workplace bullying with different types of register-based hospital-diagnosed mental disorders and redeemed psychotropic drug prescriptions. METHODS: Using a cohort study design, we examined a pooled dataset of 75,252 participants from 14 questionnaire-based surveys conducted between 2004 and 2014. In the questionnaires, workplace bullying was measured by a single item. The questionnaires were linked to Danish registers on hospital-diagnosed mental disorders and redeemed psychotropic drug prescriptions up to 2016. Data were analysed by multivariate Cox proportional hazard models, including only participants without a history of mental disorders or prescriptions since 1995. RESULTS: After adjustment for sex, age, marital and socio-economic status, workplace bullying was associated with an excess risk of any mental disorder (HR 1.37; 95 % CI: 1.17-1.59) as well as mood disorders and neurotic, stress-related, and somatoform disorders. In stratified analyses, this association were statistically significant only among women. Workplace bullying was also associated with any psychotropic drug prescription (fully-adjusted HR 1.43; 95 % CI: 1.35-1.53). This association was observed in both sexes and for all prescriptions, including anxiolytics, hypnotics and sedatives, antidepressants, and nootropics. LIMITATIONS: Firm conclusions about sex-related differences cannot be drawn. Residual confounding by unmeasured factors such as personality cannot be ruled out. CONCLUSIONS: Workplace bullying was associated with higher risks of diagnosed mental disorders among women and psychotropic drug prescriptions in both sexes.

Causal association between mental disorders and cerebrovascular diseases: Evidence from Mendelian randomization study.

BACKGROUND AND OBJECTIVE: Observational studies have suggested that mental disorders and cerebrovascular diseases (CVDs) may be risk factors for each other, but genetic evidence of a causal relationship is still lacking. We used Mendelian randomization (MR) studies to explore the causal relationship between mental disorders and CVDs from the genetic perspective. METHODS: To investigate the causal association between major depressive disorder (MDD), anxiety, attention deficit/hyperactivity disorder (ADHD), bipolar disorder and schizophrenia five kinds of mental disorders and CVDs using two-sample two-way MR analysis based on publicly available genome-wide association study (GWAS) data. We used as instrumental variables (IVs) single-nucleotide polymorphisms (SNPs) that were strongly associated with mental disorders and CVDs. IVW method was used as the main analysis method, and MR-IVW, MR-Egger methods, MR-PRESSO test, leave-one-out analysis and funnel plot were used for sensitivity analysis. We further conducted a meta-analysis to summarize the currently available MR analyses. RESULTS: The results of forward MR study showed that there was a significant causal relationship between ADHD and AS (any stroke) (p(AS) = 0.001, OR (95%CI) =1.118 (1.047-1.195)), any ischemic stroke (AIS) (p(AIS) = 0.004, OR (95%CI) =1.118(1.035-1.206)) and large artery stroke (LAS) (p(LAS) = 0.026, OR (95%CI): 1.206(1.023-1.422)). No heterogeneity, pleiotropy and outliers were found in sensitivity analysis. The reverse MR study showed that IA (intracranial aneurysm) (p(IA) = 0.033, OR (95%CI) = 1.123(1.009-1.249)) and UIA (unruptured intracranial aneurysm) (p(UIA) = 0.015, OR (95%CI) =1.040(1.008-1.074)) were risk factors for schizophrenia. Sensitivity analysis showed no pleiotropy, but there was heterogeneity. After excluding outliers, MR analysis showed that IA and UIA were still risk factors for schizophrenia. Our meta-analyses found statistical significance in causal relationships between ADHD and LAS (OR (95%CI) =1.18 (1.06-1.32), p = 0.003), IA and schizophrenia (OR (95%CI) =1.05 (1.02-1.08), p = 0.002) and UIA and schizophrenia (OR (95%CI) =1.03 (1.01-1.06), p = 0.010). CONCLUSION: The MR study and meta-analysis suggest that genetically predicted ADHD is a risk factor for LAS, and IA and UIA increase the risk of schizophrenia. The result has implications for the development of feasible prevention strategies in the future.

Educational differences in years lived with disability due to mental and substance use disorders: a cohort study using nationwide Norwegian and Danish registries.

BACKGROUND: Findings from the Global Burden of Disease (GBD) study have shown that the burden of mental and substance use disorders is considerable, and unevenly distributed across demographic groups in the population. However, there is a lack of knowledge on how this burden differs by socioeconomic position. The aim of this study was to examine educational differences in years lived with disability (YLDs) from mental and substance use disorders among males and females in two high-income countries, taking comorbidity with other diseases into account. METHODS: The study included all registered residents in Denmark and Norway from 2011 to 2021. Diagnostic information was retrieved from records in the Norwegian National Patient Registry (NPR) and the Danish Psychiatric Central Research Register (PCRR) and used as proxy measures for disorder prevalence. Demographical and educational information was taken from administrative registries. The YLD is a measure of the non-fatal health loss in the population and was calculated by multiplying the duration of a disorder with a disability weight (DW), scaled between 0 and 1. Information on remission and DWs were retrieved from the GBD study and other sources, and disorder specific DWs were averaged by severity levels and adjusted for comorbidity. RESULTS: Educational gradients in YLD rates were found for mental and substance disorders overall, and for most of the specific disorders. The educational gradient was more pronounced for schizophrenia, intellectual disability and substance use disorders than for eating, anxiety, and affective disorders. Both higher YLD rates, and a larger attributed proportion of the total YLDs, were found for schizophrenia, intellectual disability, and substance use disorders in the groups with low versus high education. YLD rates for eating, anxiety, and affective disorders were more equal across educational levels, but constituted a smaller proportion of the total YLDs among the groups with low versus the groups with high educational level. CONCLUSION: Most of the disease burden related to mental and substance use disorders falls on those with the fewest years of education. This should be taken into consideration when public health targets aimed at improving mental health and reducing social inequalities in health are developed and implemented.

Prevalence of posttraumatic stress disorder after stroke: A systematic literature review.

BACKGROUND: Posttraumatic stress disorder (PTSD) has shown to be related to worse functional outcome in individuals with stroke. This systematic literature review aimed to 1) provide a comprehensive overview of the evidence of prevalence of PTSD after stroke; 2) explore possible differences in prevalence between pathogenic origin of stroke and location of lesion; and 3) explore possible differences in prevalence between method of assessment of PTSD. METHODS: A systematic literature search was performed on studies reporting on PTSD post-stroke. Risk of bias was assessed using an adapted version of the Joanna Briggs Institute's critical appraisal tool. RESULTS: Thirty studies, reporting on 4320 individuals, were included. The weighted median PTSD prevalence overall was 17.5 % (2.9 %-71.4 %), in ischemic stroke 13.8 %, in transient ischemic attack 4.6 %, in intracerebral hemorrhage 6.5 %, and in subarachnoid hemorrhage 37.1 %. The weighted median prevalence based on self-report questionnaires was 17.8 % (3.7 %-71.4 %,) and based on PTSD interviews 4.0 % (2.9 %-32.8 %). At three and ≥ 12 months post-stroke the weighted median prevalence was respectively 24.7 % (0.0 %-37.1 %) and 17.8 % (6.5 %-71.4 %). CONCLUSION: Results suggest that PTSD is common after stroke, and even more so after subarachnoid hemorrhage. This underlines the importance of awareness of and screening for PTSD post-stroke, even after the first year post-stroke.

Exploring the psychological problems of mothers having the experience of death of children with untreatable genetic disorders: A qualitative study.

BACKGROUND: A newborn with an untreatable genetic disorder could disrupt a family and affect parents' mental health, psycho-social interaction, and parent-child relationships. This study was conducted to explore the psychological problems of mothers having the children with untreatable genetic disorders. MATERIALS AND METHODS: This qualitative study was performed using the conventional content analysis method on 15 mothers having the children with untreatable genetic disorders selected by purposeful sampling. In-depth and semi-structured interviews were used to collect data. The recorded interviews were transcribed verbatim immediately and imported into MAXQDA10 software. Lundman and Granheim's content analysis method and Guba and Lincoln's proposed criteria for assessing rigor of the results were used. RESULTS: Overall, 1067 primary codes were extracted from the interviews and after the integration of similarities grouped into 19 sub-categories and three major categories including psychological reactions before diagnosis, after determined diagnosis, and after the child's death. CONCLUSIONS: The results showed that having the child with untreatable genetic disorder is considered as a notable psychological trauma and causes painful psychological reactions in parents. In this regard, the following approaches are recommended to health professionals: continuous monitoring of mental health of these families, developing a family education program, emotional and psychological support, and genetic counseling.

Benzo[a]pyrene exposure induces anxiety-like behaviors in the mice through brain metabolic alterations.

The deleterious health impacts of polycyclic aromatic hydrocarbons (PAHs) on the population have been extensively substantiated and acknowledged. Mounting evidence underscores that PAH exposure is closely linked to an elevated risk of mental disorders, particularly in populations experiencing occupational and high-level exposure. In this study, we aimed to investigate the mechanisms underlying anxiety-like behaviors induced by different dosages of PAHs, with a concentrated focus on brain region-specific metabolic alterations in mice using various metabolomics approaches. Male C57BL/6 mice were exposed to benzo[a]pyrene (B[a]P), a typical PAH, through gavage at occupational exposure and EPA toxicologically relevant dosages (2.0 and 20.0 mg/kg/day) for 21 days, respectively. Behavioral assessments revealed that occupational exposure to B[a]P induced anxiety-like behaviors in C57BL/6 mice. Meanwhile, elevated serum norepinephrine and corticotropin-releasing hormone further confirmed the anxiety-inducing effects of B[a]P exposure. Metabolomics analysis uncovered dysregulation across various metabolic pathways following B[a]P exposure, encompassing brain neurotransmitter, organic acid, amino acid, lipid, fatty acid, and cholesterol. Anxiety levels and lipid metabolic abnormalities were notably exacerbated at the higher dosage, despite being only a 10-fold increase. Of particular significance, a decrease in lysophosphatidic acid (LPA) and lysophosphatidylserine (LPS) emerged as pivotal indicators of B[a]P neurotoxicity. Spatial-resolved metabolomics further demonstrated distinctive lipid and metabolite profiles across different brain subregions after exposure to B[a]P. Remarkably, alterations were specifically observed in the anxiety-related brain regions, such as the hippocampus, cortex, white matter, and thalamus, varying with exposure dosages. These findings underscore the significance of brain metabolic abnormalities in the development of mental disorders triggered by B[a]P exposure and highlight the need for establishing precise exposure limits of B[a]P to safeguard public mental health.

Unraveling the causative connection between urticaria, inflammatory cytokines, and mental disorders: Perspectives from genetic evidence.

BACKGROUND: The genetic association between urticaria and mental disorders and whether inflammatory cytokines mediate this process remains unclear. MATERIALS AND METHODS: A Mendelian randomization (MR) approaches to elucidate the causal relationship between urticaria and mental disorders and to validate the mediation of inflammatory cytokines. Genome-wide association study (GWAS) databases used were obtained from Psychiatric Genomics Cooperation (PGC), GWAS Catalog, and FinnGen Consortium. Our study was conducted using inverse variance weighted (IVW) and Bayesian weighted MR (BWMR) methods for joint analysis. RESULTS: The MR results showed that urticaria increased the risk of attention deficit hyperactivity disorder (ADHD) (odds ratio [OR] = $ = $ 1.088, 95% confidence interval [CI]: 1.026-1.154, p = $ = $ 0.0051); cholinergic urticaria increased the risk of bipolar disorder (BD) (OR = $ = $ 1.012, 95% CI: 1.001-1.022, p = $ = $ 0.0274); dermatographic urticaria increased the risk of ADHD (OR = $ = $ 1.057, 95% CI: 1.005-1.112, p = $ = $ 0.0323); idiopathic urticaria increased the risk of schizophrenia (SCZ) (OR = $ = $ 1.057, 95% CI: 1.005-1.112, p = $ = $ 0.0323); other unspecified urticaria increased the risk of ADHD (OR = $ = $ 1.085, 95% CI: 1.023-1.151, p = $ = $ 0.0063). We found that eight inflammatory cytokines were negatively associated with mental disorders and seven inflammatory cytokines were positively associated with mental disorders. Finally, our results suggested that inflammatory cytokines do not act as mediators between urticaria and mental disorders. CONCLUSIONS: Our study reveals a causal relationship between urticaria and the increased risk of mental disorders. We suggest that the treatment of urticaria could incorporate psychiatric interventions and mental health assessment of patients.

Stigmatising Attitudes Towards Mental Health Conditions Among Medical Students In Five South-Eastern European Countries.

Introduction: Stigmatising attitudes towards mentally ill people are present among healthcare professionals. The aim of the study was to evaluate medical students' attitudes in five medical schools from Albania, Bulgaria, Moldova, Romania and Serbia and to determine if psychiatry clerkship improves these attitudes. Methods: In the first stage, the study included students from the first and final years of medical school; in the second stage, only final-year students were included; The Mental Illness Clinicians' Attitude Scale (MICA-2) and the Attribution Questionnaire (AQ-9) were used in this study. The total sample comprised 1,526 medical students in the first stage and 614 in the second stage. Results: The analysis of the average AQ-9 and MICA-2 scores between countries revealed significant differences (p<0.05). Multivariable analysis showed that female students were 30% more likely to have elevated AQ-9 scores than male students (p=0.029). Final-year students had a significantly lower chance of having a higher MICA-2 score compared to first-year students (OR=0.7; p<0.05). Conclusions: Psychiatry clerkship contributes to a decrease in the level of stigmatising attitudes among medical students. Further research is required to assess the curricula to achieve better results in reducing stigma among future doctors.

Modifications in the Composition of the Gut Microbiota in Rats Induced by Chronic Sleep Deprivation: Potential Relation to Mental Disorders.

Introduction: Sleep deprivation(SD) has numerous negative effects on mental health. A growing body of research has confirmed the implication of gut microbiota in mental disorders. However, the specific modifications in mammalian gut microbiota following SD exhibit variations across different studies. Methods: Male specific-pathogen-free Wistar rats were given a modified multiple-platform exposure for 7 days of SD. Fecal samples were obtained from the control and SD groups both at baseline and after 7 days of SD. We utilized 16S rDNA gene sequencing to investigate the gut microbial composition and functional pathways in rats. Results: Analysis of the microbiota composition revealed a significant change in gut microbial composition after chronic SD, especially at the phylum level. The relative abundances of p_Firmicutes, g_Romboutsia, and g_Enterococcus increased, whereas those of p_Bacteroidetes, p_Verrucomicrobia, p_Fusobacteria, g_Akkermansia, and g_Cetobacterium decreased in animals after chronic SD compared with controls or animals before SD. The ratio of Firmicutes to Bacteroidetes exhibited an increase following SD. The relative abundance of gut microbiota related to the functional pathways of GABAergic and glutamatergic synapses was observed to be diminished in rats following SD compared to pre-SD. Conclusion: Collectively, these findings suggest that chronic SD causes significant alterations in both the structural composition and functional pathways of the gut microbiome. Further researches are necessary to investigate the chronological and causal connections among SD, the gut microbiota and mental disorders.

Choosing the right treatment - combining clinicians' expert knowledge with data-driven predictions.

Context: This study proposes a Bayesian network model to aid mental health specialists making data-driven decisions on suitable treatments. The aim is to create a probabilistic machine learning model to assist psychologists in selecting the most suitable treatment for individuals for four potential mental disorders: Depression, Panic Disorder, Social Phobia, or Specific Phobia. Methods: This study utilized a dataset from 1,094 individuals in Denmark containing socio-demographic details and mental health information. A Bayesian network was initially employed in a purely data-driven approach and was later refined with expert knowledge, referred to as a hybrid model. The model outputted probabilities for each disorder, with the highest probability indicating the most suitable disorder for treatment. Results: By incorporating expert knowledge, the model demonstrated enhanced performance compared to a strictly data-driven approach. Specifically, it achieved an AUC score of 0.85 vs 0.80 on the test data. Furthermore, we evaluated some cases where the predictions of the model did not match the actual treatment. The symptom questionnaires indicated that these participants likely had comorbid disorders, with the actual treatment being proposed by the model with the second highest probability. Conclusions: In 90.1% of cases, the hybrid model ranked the actual disorder treated as either the highest (67.3%) or second-highest (22.8%) on the test data. This emphasizes that instead of suggesting a single disorder to be treated, the model can offer the probabilities for multiple disorders. This allows individuals seeking treatment or their therapists to incorporate this information as an additional data-driven factor when collectively deciding on which treatment to prioritize.

Copper excess in psychiatric disorders: a focus on mood spectrum disorders and sex.

BACKGROUND: Meta-analyses show increased copper (Cu) levels in major depression disorder. However, the association of Cu biomarkers with clinical classification in other mental health disorders has not been fully explored. METHODS: To this aim, we compared an extensive panel of Cu biomarkers, composed of Cu, ceruloplasmin (Cp) Cp activity, Cp specific activity, Cu not bound to ceruloplasmin (non-Cp Cu, also known as 'free' copper) in 171 consecutive patients affected by psychiatric disorders and in 61 healthy controls (HC) using MANOVA adjusting for the effect of sex and age, and studied their association with the clinical scale outcomes at psychiatric examination, namely Global Assessment of Functioning, Clinical Global Impression, and Brief Psychiatric Rating Scale. RESULTS: individuals with psychiatric disorders were classified as 109 patients affected by mood spectrum disorders (MSD), 20 patients with schizophrenia spectrum disorders (SSD), and 42 with personality disorders (PD). Cu and non-Cp Cu were increased in psychiatric individuals than in HC, which also differed among the patients stratified per the clinical classification, being higher in the MSD individuals. The analysis stratified for sex revealed that women from the patient group, and specifically from the MSD group, had increased levels of Cu and non-Cp Cu than healthy women, while no difference was revealed in men. A logistic regression model considering the effect of sex and age revealed that non-Cp Cu could explain 26 % increased odds of having MSD per µmol/L unit increase (OR = 1.26; p = 0.0008; 95 % CI 1.099-1.436), that reached 40 % when considering only women. This result was driven by non-Cp Cu that correctly classified 64.1 % MSD (70 % in women) individuals vs. HC in a decision tree model, with values higher than 2.1 µmol/L which could distinguish the majority of MSD patients (86.3 % MSD vs. 13.7 % HC in women). None of the biological variables under study correlated with outcomes of the clinical scales, substances, or alcohol abuse. CONCLUSION: Current results suggest mild Cu toxicity in women with MSD, as revealed by a value of non-Cp Cu higher than 2.1 µmol/L, which can be further investigated to assess its potential diagnostic accuracy in bigger and longitudinal cohorts.

The Impact of Physical Activity and Lifestyle on Mental Health: A Network Analysis.

AIM: This study aimed to investigate the association between physical activity (PA), lifestyle, and symptoms of depression, anxiety, and stress. METHODS: A cross-sectional study was carried out using an online questionnaire. PA (International Physical Activity Questionnaire), lifestyle (Short Multidimensional Inventory Lifestyle Evaluation), and mental health (Depression, Anxiety, and Stress Scale-21) were assessed. Mean scores were compared between groups of physically active and inactive participants, controlling for gender, education, and income. Furthermore, associations were made between the variables, and individual network analyses were carried out for each mental health domain. The sample consisted of 353 individuals (age = 33.8 [12.2], 59.2% women). RESULTS: In network analyses, PA was indirectly related to depression and stress through the relationship with other lifestyle domains such as diet and nutrition or through stress management and social support. The same path was observed for anxiety; however, a direct partial correlation was also observed between PA and anxiety, suggesting that PA seems to intervene more directly in this aspect of mental health. CONCLUSION: It is concluded that PA is indirectly (via stress management, diet and nutrition, and social support) associated with depression and stress and has direct and indirect associations (via stress management and social support) with anxiety.

Übersichtsarbeiten / Review Articles. Voreingenommenheiten und Wahrnehmungsverzerrungen (Bias) in der psychiatrisch-psychotherapeutischen Versorgung von Kindern und Jugendlichen mit intellektueller Beeinträchtigung.

Bias in Mental Health Care of Children and Adolescents with Intellectual Disabilities Implicit and explicit bias and distortions of perception are partly responsible for the unequal and significantly deficient psychotherapeutic and psychiatric care situation for children and adolescents with intellectual disabilities and additional behavioral problems. The extent to which these biases influence misdiagnoses and treatment errors, refusals and exclusions from professional care, and grossly hostile rejections of people with disabilities requires empirical evidence (Bartig et al., 2021). The fact that all forms occur - probably to a considerable extent - contradicts the ethical principles of the medical and psychotherapeutic profession. In order to avoid misdiagnosis and treatment as a result of bias, this must be openly addressed. Selfawareness, supervision and second views, the concept of working diagnosis and, above all, the full application of child and adolescent psychiatric standards help to reduce bias.

Predicting adolescent psychopathology from early life factors: A machine learning tutorial.

Objective: The successful implementation and interpretation of machine learning (ML) models in epidemiological studies can be challenging without an extensive programming background. We provide a didactic example of machine learning for risk prediction in this study by determining whether early life factors could be useful for predicting adolescent psychopathology. Methods: In total, 9643 adolescents ages 9-10 from the Adolescent Brain and Cognitive Development (ABCD) Study were included in ML analysis to predict high Child Behavior Checklist (CBCL) scores (i.e., t-scores ≥ 60). ML models were constructed using a series of predictor combinations (prenatal, family history, sociodemographic) across 5 different algorithms. We assessed ML performance through sensitivity, specificity, F1-score, and area under the curve (AUC) metrics. Results: A total of 1267 adolescents (13.1 %) were found to have high CBCL scores. The best performing algorithms were elastic net and gradient boosted trees. The best performing elastic net models included prenatal and family history factors (Sensitivity 0.654, Specificity 0.713; AUC 0.742, F1-score 0.401) and prenatal, family, history, and sociodemographic factors (Sensitivity 0.668, Specificity 0.704; AUC 0.745, F1-score 0.402). Across all 5 ML algorithms, family history factors (e.g., either parent had nervous breakdowns, trouble holding jobs/fights/police encounters, and counseling for mental issues) and sociodemographic covariates (e.g., maternal age, child's sex, caregiver income and caregiver education) tended to be better predictors of adolescent psychopathology. The most important prenatal predictors were unplanned pregnancy, birth complications, and pregnancy complications. Conclusion: Our results suggest that inclusion of prenatal, family history, and sociodemographic factors in ML models can generate moderately accurate predictions of adolescent psychopathology. Issues associated with model overfitting, hyperparameter tuning, and system seed setting should be considered throughout model training, testing, and validation. Future early risk predictions models may improve with the inclusion of additional relevant covariates.