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Background: There is a growing interest in environmental and social determinants of mental health. However, how distance to healthcare and public transportation affect illness is neglected in schizophrenia research. Here, we are interested in how the availability of mental healthcare and the ways to reach it may be associated with psychosis. Aims: We aim to investigate the association between distances to healthcare units and subway stations and duration of untreated psychosis (DUP) and greater initial severity in an antipsychotic-naïve first episode of psychosis (FEP) sample. Method: Using 212 untreated FEP patients' data, we calculated the distances from their residences to the places of interest. Diagnoses comprehended schizophrenia spectrum disorders, depressive and bipolar affective disorders, and substance-induced disorders. Linear regressions were performed with distances as independent variables, DUP and Positive and Negative Syndrome Scale (PANSS) scores as dependent variables. Results: Longer distance to emergency mental healthcare was related to longer DUP (95% CI: p =.034, B = 0.152) and higher total PANSS (95% CI: p =.007, B = 0.0189); longer distance to community mental healthcare units was related to longer DUP (95% CI: p =.004, B = 0.0204) and higher total PANSS (95% CI: p =.030, B = 0.152). Moreover, a longer distance to the closest subway station predicted longer DUP (95% CI: p =.019, B = 0.170). Conclusion: Our results indicate that poor healthcare access is related to longer DUP and higher initial PANSS scores. Future research should investigate how investments in mental health access and actions to improve public transport access could impact DUP and treatment outcomes in psychosis patients. [ABSTRACT FROM AUTHOR]

Background: Implementation of interventions to treat child and adolescent mental health problems in schools could help fill the mental health care gap in low- and middle-income countries (LMICs). Most of the evidence available come from systematic reviews on mental health prevention and promotion, and there is less evidence on treatment strategies that can be effectively delivered in schools. The aim of this review was to identify what school-based interventions have been tested to treat children and adolescents in LMICs, and how effective they are. Methods: We conducted a systematic review including seven electronic databases. The search was carried out in October 2022. We included randomised or non-randomised studies that evaluated school-based interventions for children or adolescents aged 6-18 years living in LMICs and who had, or were at risk of developing, one or more mental health problems. Results: We found 39 studies with 43 different pairwise comparisons, treatment for attention-deficit and hyperactivity (ADHD), anxiety, depression, and posttraumatic stress disorder (PTSD), Conduct disorder (CD). Pooled SMD were statistically significant and showed that, overall, interventions were superior to comparators for PTSD (SMD = 0.61; 95% CI = 0.37-0.86), not statistically significant for anxiety (SMD = 0.11; 95% CI = -0.13 to 0.36), ADHD (SMD = 0.36; 95% CI = -0.15 to 0.87), and for depression (SMD = 0.80; 95% CI = -0.47 to 2.07). For CD the sample size was very small, so the results are imprecise. Conclusion: A significant effect was found if we add up all interventions compared to control, suggesting that, overall, interventions delivered in the school environment are effective in reducing mental health problems among children and adolescents. [ABSTRACT FROM AUTHOR]

Background: Emotional Contagion Behavior (ECB), the synchronized expression of emotional symptoms among members of a group, has been observed globally. In Mozambique, there have been numerous reports of ECB in recent years. Since 2010 several girls from a secondary school in Maputo City, Mozambique exhibited ECB which involved repeated fainting spells, sometimes including verbal aggression and threats to colleagues and teachers. We conducted a study to analyze sociodemographic and clinical characteristics associated with ECB. Methods: This cross-sectional study included 154 females aged from 16 to 24 years old. We considered emotional contagion behavior as repeated fainting spells, sometimes including verbal aggression and threats to others (colleagues and teachers). Participants responded to a sociodemographic questionnaire, the Beck Anxiety Scale, and the revised Eysenck Personality Questionnaire (EPQ-R). Bivariate and multivariate logistic regression models analyzed sociodemographic and clinical characteristics associated with EBC. Results: Among study participants, 57 presented ECB and 97 did not. The likelihood of ECB was higher among those with previous history of ECB (OR = 8.28, 95% CI [2.51, 27.30]; p ⩽.001) and extroverted personality profile (OR = 1.15, 95% CI [1.01, 1.30]; p =.038). Having a romantic relationship was related to lower likelihood of having ECB (OR = 0.04, 95% CI [0.01, 0.19]; p =.001). Conclusions: These results suggest that ECB may repeat over time and be related to challenges pertaining to personality development, the presence of sexual life, and close relationships with peers faced by adolescent girls. [ABSTRACT FROM AUTHOR]

Background. Young people can receive mental health care from many sources, from formal and informal sectors. Caregiver characteristics/experiences/beliefs may influence whether young people get help and the type of care or support used by their child. We investigate facilitators/ barriers to receiving formal and/or informal care, particularly those related to the caregiver’s profile. Methods. We interviewed 1,400 Brazilian primary caregivers of young people (aged 10–19), participants of a high-risk cohort. Caregivers reported on young people’s formal/informal mental health care utilization, and associated barriers and facilitators to care. Data were also collected on youth mental health and its impact on everyday life; and caregiver characteristics— education, socioeconomics, ethnicity, mental health, and stigma. Logistic regression models were used to examine the relationship between caregiver and young people characteristics with formal/informal care utilization. Results. Persistence and greater impact of youth mental health conditions were associated with a higher likelihood of care, more clearly for formal care. Caregiver characteristics, however, also played a key role in whether young people received any care: lower parental stigma was associated with greater formal service use, and lower socioeconomic class showed higher odds of informal care (mainly from religious leaders). Conclusions. This study highlights the key role of the caregivers as gatekeepers to child treatment access, particularly parental stigma influencing whether young people received any mental health care, even in a low resource setting. These results help to map barriers for treatment access and delivery for young people, aiming to improve intervention efforts and mental health support. [ABSTRACT FROM AUTHOR]

This 2020 we find ourselves, health professionals, health managers, governments and almost all the community in very unexpected and challenging circumstances as we face the COVID-19 pandemic. One does not know how all the risk factors exposed here had impacted or will impact suicide rates in megacities, but it is expected that the consequences of the pandemic on mental health will be present for a long period of time and can also peak later than the current pandemic[[3]]. During the pandemic, megacities are facing the challenge of reinforcing their already overburdened healthcare systems to cover the increased demand for mental healthcare and to continue the care for people with pre-existing mental health disorders[[3]],[[11]]. [Extracted from the article]

Background: A study conducted as part of the development of the Eleventh International Classification of Mental Disorders for Primary Health Care (ICD-11 PHC) provided an opportunity to test the relationships among depressive, anxious and somatic symptoms in PHC. Method: Primary care physicians participating in the ICD-11 PHC field studies in five countries selected patients who presented with somatic symptoms not explained by known physical pathology by applying a 29-item screening on somatic complaints that were under study for bodily stress disorder. Patients were interviewed using the Clinical Interview Schedule-Revised and assessed using two five-item scales that measure depressive and anxious symptoms. Structural models of anxious-depressive symptoms and somatic complaints were tested using a bi-factor approach. Results: A total of 797 patients completed the study procedures. Two bi-factor models fit the data well: Model 1 had all symptoms loaded on a general factor, along with one of three specific depression, anxiety and somatic factors [ x 2 (627) = 741.016, p < 0.0011, RMSEA = 0.015, CFI = 0.911, TLI = 0.9]. Model 2 had a general factor and two specific anxious depression and somatic factors [ x 2 (627) = 663.065, p = 0.1543, RMSEA = 0.008, CFI = 0.954, TLI = 0.948]. Conclusions: These data along with those of previous studies suggest that depressive, anxious and somatic symptoms are largely different presentations of a common latent phenomenon. This study provides support for the ICD-11 PHC conceptualization of mood disturbance, especially anxious depression, as central among patients who present multiple somatic symptoms. [ABSTRACT FROM AUTHOR]

Objective: The Identifying Depression Early in Adolescence Risk Score (IDEA-RS) was recently developed in Brazil using data from the Pelotas 1993 Birth Cohort to estimate the individualized probability of developing depression in adolescence. This model includes 11 sociodemographic variables and has been assessed in longitudinal studies from four other countries. We aimed to test the performance of IDEA-RS in an independent, community-based, school-attending sample within the same country: the Brazilian High-Risk Cohort., Methods: Standard external validation, refitted, and case mix-corrected models were used to predict depression among 1442 youth followed from a mean age of 13.5 years at baseline to 17.7 years at follow-up, using probabilities calculated with IDEA-RS coefficients., Results: The area under the curve was 0.65 for standard external validation, 0.70 for the case mix-corrected model, and 0.69 for the refitted model, with discrimination consistently above chance for predicting depression in the new dataset. There was some degree of miscalibration, corrected by model refitting (calibration-in-the-large reduced from 0.77 to 0)., Conclusion: IDEA-RS was able to parse individuals with higher or lower probability of developing depression beyond chance in an independent Brazilian sample. Further steps should include model improvements and additional studies in populations with high levels of subclinical symptoms to improve clinical decision making., Competing Interests: AC has acted as a consultant for Knight Therapeutics in the past year. VM has received research funding from Johnson & Johnson, a pharmaceutical company interested in the development of anti-inflammatory strategies for depression, but the research described in this paper is unrelated to this funding. LAR has received grant or research support from, served as a consultant to, and served on the speakers’ bureau of Abbott, Aché, Bial, Medice, Novartis/Sandoz, Pfizer/Upjohn, and Shire/ Takeda in the last three years; has received authorship royalties from Oxford Press and ArtMed; the ADHD and Juvenile Bipolar Disorder Outpatient Programs chaired by him has received unrestricted educational and research support from the following pharmaceutical companies in the last three years: Novartis/Sandoz and Shire/Takeda. The other authors report no conflicts of interest.

Objective: Obstacles for computational tools in psychiatry include gathering robust evidence and keeping implementation costs reasonable. We report a systematic review of automated speech evaluation for the psychosis spectrum and analyze the value of information for a screening program in a healthcare system with a limited number of psychiatrists (Maputo, Mozambique)., Methods: Original studies on speech analysis for forecasting of conversion in individuals at clinical high risk (CHR) for psychosis, diagnosis of manifested psychotic disorder, and first-episode psychosis (FEP) were included in this review. Studies addressing non-verbal components of speech (e.g., pitch, tone) were excluded., Results: Of 168 works identified, 28 original studies were included. Valuable speech features included direct measures (e.g., relative word counting) and mathematical embeddings (e.g.: word-to-vector, graphs). Accuracy estimates reported for schizophrenia diagnosis and CHR conversion ranged from 71 to 100% across studies. Studies used structured interviews, directed tasks, or prompted free speech. Directed-task protocols were faster while seemingly maintaining performance. The expected value of perfect information is USD 9.34 million. Imperfect tests would nevertheless yield high value., Conclusion: Accuracy for screening and diagnosis was high. Larger studies are needed to enhance precision of classificatory estimates. Automated analysis presents itself as a feasible, low-cost method which should be especially useful for regions in which the physician pool is insufficient to meet demand.

Background: This systematic review protocol aims to examine the evidence of effectiveness and cost-effectiveness of interventions for children and adolescents with, or at risk of developing mental disorders in low- and middle-income countries (LAMICs)., Methods: We will search Medline Ovid, EMBASE Ovid, PsycINFO Ovid, CINAHL, LILACS, BDENF and IBECS. We will include randomised and non-randomised controlled trials, economic modelling studies and economic evaluations. Participants are 6 to 18 year-old children and adolescents who live in a LAMIC and who present with, or are at high risk of developing, one or more of the conditions: depression, anxiety, behavioural disorders, eating disorders, psychosis, substance abuse, autism and intellectual disabilities as defined by the DSM-V. Interventions which address suicide, self-harm will also be included, if identified during the extraction process. We will include in person or e-health interventions which have some evidence of effectiveness (in relation to clinical and/or functional outcomes) and which have been delivered to young people in LAMICs. We will consider a wide range of delivery channels (e.g., in person, web-based or virtual, phone), different practitioners (healthcare practitioners, teachers, lay health care providers) and sectors (i.e., primary, secondary and tertiary health care, education, guardianship councils). In the pilot of screening procedures, 5% of all references will be screened by two reviewers. Divergences will be resolved by one expert in mental health research. Reviewers will be retrained afterwards to ensure reliability. The remaining 95% will be screened by one reviewer. Covidence web-based tool will be used to perform screening of references and full text paper, and data extraction., Results: The protocol of this systematic review will be disseminated in a peer-reviewed journal and presented at relevant conferences. The results will be presented descriptively and, if possible, meta-analysis will be conducted. Ethical approval is not needed for anonymised secondary data., Conclusion: the systematic review could help health specialists and other professionals to identify evidence-based strategies to deal with child and adolescents with mental health conditions.