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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.
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Humans , Ill-Housed Persons , Mental Disorders , Cross-Sectional StudiesABSTRACT
Background: Pulmonary embolism (PE) is a serious and potentially life-threatening condition that requires prompt diagnosis and treatment. Identifying risk factors and diagnostic markers can aid in the early detection and management of this condition. Methods: This case-control study examined 10,077 patients admitted to Shenzhen Kangning Hospital's psychiatry facility in 2020. Among these, 65 patients were diagnosed with PE, including 50 new cases. After survival sampling for controls and age-and-gender matching, the study included 41 new PE cases and 41 age-and-gender-matched controls. Data on demographics, comorbidities, and medication use were extracted from electronic records. Conditional logistic regression analyses were performed to determine the association between each predictor and PE risk. Additionally, the sensitivity and specificity of the d-dimer diagnostic tool were assessed. Results: In univariable conditional logistic regression, active alcoholism was associated with a higher PE risk (OR=3.675, 95% CI 1.02-13.14, P=0.046). A history of physical restraint (OR=4.33, 95% CI 1.24-15.21, P=0.022) and chemical restraint (OR 4.67, 95% CI 1.34-16.24, p=0.015) also increased PE risk, as did benzodiazepine use (OR=3.33, 95% CI 1.34-8.30, P=0.010). Conversely, psychotropic medication before admission was associated with a lower risk of PE (OR=0.07, 95% CI 0.01-0.59, P=0.013). Stepwise multivariable forward conditional regression identified two subsets of psychiatric patients at higher risk of PE: new psychiatric cases without medication at admission who were chemically restrained, and cases without medication at admission who were started on antipsychotics and benzodiazepines. The d-dimer diagnostic tool, with an optimal threshold of 570 ng/ml determined by the Youden index (J statistic of 0.6098), showed a sensitivity of 73.17% and specificity of 87.80% for detecting PE, with an AUC of 0.833 (95% CI: 0.735-0.906). Conclusion: Our findings suggest that a history of restraint, alcoholism, and the use of antipsychotics and benzodiazepines are important predictors of PE in psychiatric inpatients. Conversely, psychotropic medications at admission may be linked to a lower PE risk. The d-dimer diagnostic tool shows good value for screening PE in psychiatric inpatients. These predictors and diagnostic markers could help clinicians identify high-risk patients and implement appropriate prevention strategies.
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Psychiatric disorders are reported to be associated with systemic inflammatory conditions and autoimmune diseases. Antiphospholipid syndrome (APS) is a rare condition with poorly understood prevalence and incidence in the general population. Case reports have described co-occurrences of psychiatric conditions and APS. Previous case reports have indicated that patients with APS can have comorbid psychosis, anxiety, depression, and other psychiatric conditions. The association between APS and psychiatric illness, however, remains under-investigated in longitudinal studies. In this report, we present the case of a woman in her 40s who was voluntarily admitted to the psychiatric inpatient unit for treatment of auditory hallucinations within the context of borderline personality disorder. She reported a rather extensive medical and psychiatric history of several previous illnesses, musculoskeletal injuries, and hospitalizations. Due to the significant social stress and multiple comorbidities, she may be at increased vulnerability to acute exacerbations of both APS and brief psychotic episodes. In this case report, the patient had a history of three hypercoagulability incidents that were shortly followed by psychiatric admissions. This report highlights the importance of considering systemic conditions such as APS in patients presenting with psychiatric illness. Patients with APS and concomitant psychosis may benefit from screening for APS flares in the case of a psychotic break.
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Aim: The purpose of this study is to examine factors associated with increased suicide deaths during the coronavirus disease 2019 (COVID-19) pandemic in Japan using primary data from postmortem examinations. Methods: We explored factors associated with suicides that occurred during the COVID-19 pandemic (February 2020 to December 2021) using data from 115 postmortem examinations of suicides that occurred in one city in the Kanto region between January 2017 and December 2021. Results: Multivariate analysis using graphical modelling and logistic regression analysis showed that both female sex (adjusted odds ratio: 3.732; 95% confidence interval: 1.044-13.345) and multiple mental disorders (adjusted odds ratio: 7.344; 95% confidence interval: 1.316-40.987) were significantly associated with suicide during the COVID-19 pandemic among the young age group (39 years or under). Conclusion: The study results suggest that in addition to the factor of female sex previously identified, morbidity due to multiple mental disorders may be associated with the increased suicides in Japan during the COVID-19 pandemic. Furthermore, this study presented the new methodological possibility of analyzing background factors of suicide using postmortem examination data. In preparation for similar emergencies in the future, it is necessary to establish a system that provides care for multiple mental disorders and a continuous suicide-monitoring system that combines methods such as psychological autopsies with other methods.
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BACKGROUND: Voice analysis has significant potential in aiding healthcare professionals with detecting, diagnosing, and personalising treatment. It represents an objective and non-intrusive tool for supporting the detection and monitoring of specific pathologies. By calculating various acoustic features, voice analysis extracts valuable information to assess voice quality. The choice of these parameters is crucial for an accurate assessment. METHOD: In this paper, we propose a lightweight acoustic parameter set, named HEAR, able to evaluate voice quality to assess mental health. In detail, this consists of jitter, spectral centroid, Mel-frequency cepstral coefficients, and their derivates. The choice of parameters for the proposed set was influenced by the explainable significance of each acoustic parameter in the voice production process. RESULTS: The reliability of the proposed acoustic set to detect the early symptoms of mental disorders was evaluated in an experimental phase. Voices of subjects suffering from different mental pathologies, selected from available databases, were analysed. The performance obtained from the HEAR features was compared with that obtained by analysing features selected from toolkits widely used in the literature, as with those obtained using learned procedures. The best performance in terms of MAE and RMSE was achieved for the detection of depression (5.32 and 6.24 respectively). For the detection of psychogenic dysphonia and anxiety, the highest accuracy rates were about 75 % and 97 %, respectively. CONCLUSIONS: The comparative evaluation was carried out to assess the performance of the proposed approach, demonstrating a reliable capability to highlight affective physiological alterations of voice quality due to the considered mental disorders.
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This review aims to consolidate and appraise evidence exploring the caregiver burden of parents of children with mental disorders. A mixed-studies review structure was adopted and six electronic databases (PubMed, CINAHL, PsycINFO, Embase, Scopus and ProQuest Dissertations and Theses Global) were searched from each database's inception date until September 2023. Thomas & Harden's thematic analysis framework was utilised for data analysis. Twenty-three studies were included in this review. The results-based convergent integration method identified an overarching theme titled 'hiding behind the walls on fire, engulfed in chaos: dark and alone', three main themes named 'Invisible scars': role of psychological factors on caregiver burden, navigating through social and economic influences on caregiving burden, and influence of illness-related variables and nine subthemes. This review highlighted that the parents perceived insufficient support from healthcare providers and a lack of insight regarding their children's medical condition as the primary contributors to the burden experienced. It is imperative for healthcare professionals to collaboratively engage with parental caregivers, offering accessible treatment options for their children with mental disorders and providing comprehensive educational resources to facilitate a profound understanding of their children's mental health conditions. In addition to addressing caregivers' informational needs, the establishment of an integrated support system is advocated, one involving active participation from healthcare professionals, healthcare institutions, community resources, social services and policymakers. This holistic approach could better meet the multifaceted needs of caregivers, encompassing psychosocial, emotional and financial aspects. Trial Registration: International Prospective Register of Systematic Reviews: PROSPERO ID: CRD42022363420.
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INTRODUCTION: Supported accommodations (SAs) are key components of community mental health care, but little is known about residents' care pathways. This study analysed the care pathways of residents of SAs, and factors associated with their age of entry and length of stay. METHODS: A random sample of SAs' residents in Portugal was interviewed and a questionnaire was specifically developed to assess their care pathways. Associations between sociodemographic and clinical characteristics, age of entry and length of stay, were analysed using hierarchical regression. RESULTS: Overall, 213 residents of 43 different SAs participated. Their mean age was 55 years. Most were male, single, pensioners and had early-onset psychotic disorders. On average, they integrated the current SA at around 50 years old and had a 4.5 year length of stay. Most participants had been in another SA before (35.0% in more supported, 33.8% in less supported and 6.3% in similarly supported SAs). CONCLUSIONS: Findings suggest that residents spend several years in the residential pathway, with a significant proportion moving to more supported SAs. This calls for increasing the number of SAs with different typologies and developing coordinated community supports.
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OBJECTIVE: Catatonia is a syndrome that can be missed in clinical settings. Diagnosis of catatonia is important because the condition can be reversible and is associated with severe complications. This study aims to screen patients with catatonia admitted to a university hospital's psychiatry and neurology services, examine their characteristics, and compare the coverage of different catatonia scales. METHOD: During a consecutive 20 months study period, the Turkish adaptations of the Bush-Francis Catatonia Rating and the KANNER scales were administered in psychiatry and neurology inpatient units and patients on the waiting list for psychiatric hospitalization. The participants were also evaluated with DSM-5 criteria. In addition, the sociodemographic and clinical characteristics of the patients in the psychiatric group were compared. RESULTS: A total of 214 patients were evaluated. Twenty-eight (13.1%) screened positive for catatonia, and 23 (82.1%) were diagnosed with catatonia according to DSM-5 criteria. KANNER and Bush- Francis identified the same patients as having catatonia. In addition to schizophrenia and mood disorders; neurodevelopmental disorder, encephalitis, postpartum psychosis, obsessive-compulsive disorder, delirium, cerebrovascular disease, functional neurological symptom disorder have also been found to be associated with catatonia. The most common complication was urinary tract infection. Life-threatening complications were also observed. CONCLUSION: Overlooking catatonia may have dire consequences. Adhering solely to the DSM-5 criteria may miss some patients with catatonia. Widely and efficiently using standardized catatonia scales can improve detection capacity and enhance the management of morbidity and mortality.
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Catatonia , Humans , Catatonia/diagnosis , Female , Male , Adult , Turkey , Middle Aged , Psychiatric Status Rating Scales , Young Adult , Adolescent , Diagnostic and Statistical Manual of Mental Disorders , NeurologyABSTRACT
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.
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Objective: This study aimed to identify the prevalence of psychiatric disorders in 2 population-based cohorts of children born extremely preterm (EP) 11 years apart to ascertain whether psychiatric outcomes have changed over time following improved survival of EP children. Method: In the EPICure2 study, 200 children born EP (22-26 weeks' gestation) in England in 2006 were assessed at 11 years of age alongside 143 term-born children. Children were assessed using the Developmental and Wellbeing Assessment (DAWBA). DSM-IV diagnoses were assigned by clinical psychiatrists for 145 EP and 98 term-born children. Outcomes were compared between a subsample of children from the EPICure2 cohort (2006, n = 76) and the earlier-born EPICure (1995, n = 161) cohort born at 22 to 25 weeks' gestation in England. Results: EP children in EPICure2 were significantly more likely than term-born children to have any psychiatric disorder (39.3% vs 3.1%; adjusted odds ratio [OR] = 15.1, 95% CI = 4.4-51.1), emotional disorders (14.6% vs 2.0%; OR = 7.3, 95% CI = 1.6-32.7), conduct disorders (6.3% vs 0.0%, p = .01), attention-deficit/hyperactivity disorder (ADHD, 21.9% vs 2.6%; OR = 7.2; 95% CI = 1.5-33.6), and autism spectrum disorder (ASD, 18.9%; vs 0.0%, p < .001). There was no significant difference in the rates of any psychiatric disorder between EP children in the EPICure2 and EPICure cohorts. Conclusion: EP children remain at increased risk for psychiatric disorders at 11 years of age compared with term-born peers. Increased survival has not translated into improved psychiatric outcomes. Health care professionals need to be aware of this ongoing risk when caring for children born preterm.
Medical advances have improved the survival of extremely preterm children, but whether long-term outcomes have also improved is unclear. This study compared rates of psychiatric disorders at age 11 years among 76 children born extremely preterm in 1995 and 161 children born extremely preterm in 2006, to identify trends in psychiatric outcomes. Results showed that children born extremely preterm in 2006 were more likely than term children to have psychiatric disorders (39.3% vs 3.1%). There was no difference in rates of disorders between children born extremely preterm in 2006 and 1995. These results suggest that there has been no improvement in psychological outcomes for extremely preterm children, and healthcare professionals should continue to monitor for psychiatric disorders in this population.
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Parenting a child on the autism spectrum presents particular challenges that can lead to increased stress, anxiety, and depression among family members. Therefore, we aimed to investigate the prevalence of mental disorders in first-degree relatives of individuals on the autism spectrum. This article adheres to the Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols (PRISMA-P) guidelines, including studies indexed in PubMed/Medline, Embase, PsycINFO, Biblioteca Virtual em Saúde (BVS), and SciELO. Nineteen articles met eligibility criteria for the systematic review. Using a random-effects model (N = 93,876), we found a pooled prevalence of affective disorders of 13% in mothers of people on the autism spectrum (95% CI 7-21%; I2 = 99%, p < 0.01). Additionally, another random-effects model pointed out that first-degree relatives of people on the autism spectrum (N = 93,263) were more likely to present affective disorders than relatives of people with neurotypical development (N = 152,455) (pooled OR: 2.17; 95% CI 1.81-2.61). Careful assessment for mental disorders in parents and siblings of individuals on the autism spectrum is crucial to ensure appropriate treatment for these family members. This approach can also contribute to optimizing care for the individuals on the autism spectrum.
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Few studies have assessed the burden of mental disorders in adolescents related to bullying victimization at the global, regional, and national levels. We analyzed adolescent mental disorder disability-adjusted life years (DALYs) attributed to bullying in 204 countries, following the Global Burden of Disease study 2019 framework. The DALYs rate of adolescent for bullying-related mental disorders global increased from 110.45 (95 % uncertainty intervals (UI): 40.76, 218.62) per 100,000 in 1990 to 138.92 (95 % UI: 54.37, 268.19) per 100,000 in 2019. The largest increase in DALYs rates were obvious in low-SDI and high-SDI regions. In 2019, the DALYs rate of adolescents with bullying-related anxiety disorders was 1.4 times higher than those depressive disorders; the DALYs rate of adolescents with bullying-related mental disorder in females was 1.3 times higher than that of male, and older adolescent (15-19 years old) was 1.4 times higher than younger adolescent (10-14 years old). High-income North America had the fastest increase in DALYs rates of mental disorders related to bullying. In general, a positive correlation was observed between bullying DALY rate of adolescent and SDIs at the regional and national levels. Our study highlights significant disparities in adolescent mental health burden from bullying. Governments must implement adaptive policies to address diverse needs effectively.
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Unlike depression sum scores, the underlying risk for depression is typically assumed to be normally distributed across the general population. To assess the true empirical shape of depression risk, we created a continuous-valued estimate of the latent depression density, using the Davidian-Curve Item Response Theory (DC-IRT) and the National Health and Nutrition Examination Survey (NHANES) cohorts from 2005 to 2018 (n = 36,244 on the Nine-item Patient Health Questionnaire; PHQ-9). We conducted simulations to investigate the performance of DC-IRT for large samples and realistic items. The method can recover complex latent-risk distributions even when they are not evident from sum scores. However, estimation accuracy for different sample sizes depends on the method of model selection. In addition to full-data analysis, random samples of a few thousand observations were drawn for analysis. The latent shape of depression was left-skewed and bimodal in both investigations, indicating that the latent-normality assumption does not hold for depression.
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Previous research indicated that the prevalence of frequent nightmares and/or the presence of a nightmare disorder is quite high in patients with mental disorders. In the present study, 75 randomly selected psychiatric inpatients were interviewed and completed questionnaires regarding nightmares, sleep, and psychopathology. The percentage of patients with nightmares once per week or more often was 61.54% in the group with PTSD diagnosis (N = 13) and 40.32% in the patients without PTSD diagnosis (N = 62). Moreover, depression scores and having PTSD were related to heightened nightmare distress. Based on the high prevalence rates of frequent nightmares, future research should aim at understanding better the interplay between psychopathology and nightmares and test whether nightmare interventions like Imagery Rehearsal Therapy might be beneficial for patients with mental disorders.
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Objective: This meta-analysis aims to evaluate the global prevalence of mental disorders among young people living with HIV. Methods: A comprehensive search was conducted of the PubMed, Embase, and Cochrane Library databases for articles relevant to the study, published between January 2013 and June 2023. To identify sources of heterogeneity and compare prevalence estimates among various groups, subgroup analyses were conducted. Study heterogeneity was assessed using Cochran's Q and the I 2 tests. The robustness of the findings was ascertained through sensitivity analyses, while publication bias was evaluated with funnel plots and Egger's test. Results: Sixty studies were included in this meta-analysis. It revealed that approximately one-quarter of YLWH experience depression, with a prevalence of 24.6% (95% CI: 21.1-28.2%). The prevalence of anxiety was found to be 17.0% (95% CI: 11.4-22.6%). Regarding suicidality, the prevalence of suicidal ideation and lifetime suicidal ideation in YLWH was 16.8% (95% CI: 11.3-22.4%) and 29.7% (95% CI: 23.7-35.7%), respectively. Additionally, the prevalence rates for suicidal attempts and lifetime suicidal attempts were 9.7% (95% CI: 4.0-15.4%) and 12.9% (95% CI: 2.8-23.1%), respectively. The prevalence of Post-Traumatic Stress Disorder and Attention Deficit Hyperactivity Disorder was identified as 10.5% (95% CI: 5.8-15.2%) and 5.0% (95% CI: 3.1-7.0%), respectively. Conclusion: The findings indicate a heightened risk of mental disorders among YLWH, underscoring the necessity for targeted intervention strategies to mitigate their suffering and potentially diminish the adverse impacts. Systematic Review Registration: PROSPERO, identifier CRD42023470050, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023470050.
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HIV Infections , Mental Disorders , Adolescent , Adult , Female , Humans , Male , Young Adult , HIV Infections/complications , HIV Infections/epidemiology , Mental Disorders/epidemiology , Prevalence , Suicidal IdeationABSTRACT
OBJECTIVE: Mental and substance use disorders are the leading causes of disability worldwide. Contemporary estimates of prevalence, severity and impairment are essential for service planning. This study provides estimates of prevalence, severity, impairment and demographic correlates of mental and substance use disorders in 2020-22 and changes in prevalence since 2007. METHODS: Data were from the two Australian National Surveys of Mental Health and Wellbeing conducted in 2020-22 (N = 15,893) and 2007 (N = 8841). Descriptive statistics report prevalence of lifetime and 12-month mental and substance use disorder by sex and age, proportion of people with each mental disorder by levels of severity (mild, moderate and severe) and mean days out of role by mental disorder class (mood, anxiety, substance use). Logistic regression analyses examined demographic correlates of mental disorder class and assessed changes over time. RESULTS: The lifetime prevalence of any mental or substance use disorder in 2020-22 was 40.2%. The 12-month prevalence was 20.2% (mood disorder - 7.4%, anxiety disorder - 15.7% and substance use disorder - 3.1%). Mood disorders were associated with significant impairment. The prevalence of mental disorders has changed over time, with mood and anxiety disorders increasing and substance use disorders decreasing. These changes were most evident among young adults. CONCLUSION: Mental disorders are common in Australia. Impairment associated with mental disorders remains significant. Particular focus should be paid to young adults aged 16-24 years who have shown the largest increases in anxiety and mood disorder prevalence over the past 13 years.
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Owing to a lack of appropriate biomarkers for accurate diagnosis and treatment, psychiatric disorders cause significant distress and functional impairment, leading to social and economic losses. Biomarkers are essential for diagnosing, predicting, treating, and monitoring various diseases. However, their absence in psychiatry is linked to the complex structure of the brain and the lack of direct monitoring modalities. This review examines the potential of electroencephalography (EEG) as a neurophysiological tool for identifying psychiatric biomarkers. EEG noninvasively measures brain electrophysiological activity and is used to diagnose neurological disorders, such as depression, bipolar disorder (BD), and schizophrenia, and identify psychiatric biomarkers. Despite extensive research, EEG-based biomarkers have not been clinically utilized owing to measurement and analysis constraints. EEG studies have revealed spectral and complexity measures for depression, brainwave abnormalities in BD, and power spectral abnormalities in schizophrenia. However, no EEG-based biomarkers are currently used clinically for the treatment of psychiatric disorders. The advantages of EEG include real-time data acquisition, noninvasiveness, cost-effectiveness, and high temporal resolution. Challenges such as low spatial resolution, susceptibility to interference, and complexity of data interpretation limit its clinical application. Integrating EEG with other neuroimaging techniques, advanced signal processing, and standardized protocols is essential to overcome these limitations. Artificial intelligence may enhance EEG analysis and biomarker discovery, potentially transforming psychiatric care by providing early diagnosis, personalized treatment, and improved disease progression monitoring.
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BACKGROUND: Public health nurses (PHNs) are often a first point of contact for postpartum individuals seeking mental health support, but report limited training related to mental health. PURPOSE: To determine whether a two-day cognitive behavioral therapy (CBT)-based training program focused on postpartum maternal mental health can improve PHN perceptions of their ability to deliver CBT techniques, their confidence working with distressed clients, and with managing client resistance to treatment recommendations. METHODS: A convenience sample of 45 PHNs working in the Family Health Division of Niagara Region Public Health in Ontario, Canada were assessed before and after they received a two-day CBT-based training program. Before attending training, PHNs reported their current professional position, years of experience working in public health, and any previous mental health training. Their confidence in delivering CBT techniques, working with distressed clients, and with managing client resistance to treatment recommendations was assessed pre- and post-training. Participants also rated their satisfaction with the training. RESULTS: Statistically significant improvements were seen in confidence using CBT techniques, and in supporting and managing distressed or resistant clients. The two-day training was highly rated overall by participants. Medium to large effect sizes were found for changes in confidence-related questions. CONCLUSIONS: Providing PHNs with brief CBT-based mental health-related training can increase their confidence in this aspect of their practice, and could potentially improve the quality of care they provide.
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BACKGROUND: Symptoms of obstructive sleep apnoea (OSA) overlap significantly with those of psychiatric disorders, making accurate diagnosis of OSA challenging within psychiatric settings. Diagnosing OSA in psychiatric patients is crucial because untreated OSA can exacerbate psychiatric symptoms, reduce treatment efficacy, and impair overall quality of life. This study aimed to determine the diagnostic accuracy of a readily accessible procedure for psychiatric patients in a real-world clinical setting by comparing the Somnocheck micro CARDIO® (SCm) portable cardiorespiratory polygraphy device with the gold standard polysomnography (PSG). METHODS: This observational cohort study included consecutive psychiatric patients at intermediate to high risk for OSA based on screening with the STOP-Bang questionnaire, admitted to a single tertiary care centre between June 1, 2016 and December 31, 2022. The Apnoea-Hypopnoea-Index (AHI), Apnoea-Index (AI), Oxygen-Desaturation-Index (ODI), and minimum oxygen saturation were measured sequentially by SCm and PSG. RESULTS: A total of 57 patients were analysed (median age 62.0 [Interquartile Range (IQR), 51.5-72.5] years; 34 [59.6%] men). Regarding AHI, no significant differences (AHI measured by PSG, median, 16.6 [IQR, 6.2-26.7] vs. AHI measured by SCm, median, 14.9 [IQR, 10.0-22.8]; p = 0.812; r = 0.71) were found between SCm and PSG. AI, ODI and minimum oxygen saturation differed significantly between SCm and PSG. Using optimised cut-off values (any OSA: AHISCm ≥ 9.25), SCm showed high sensitivity (0.894) and high specificity (0.800) for the diagnosis of OSA, with an area under the receiver operating characteristic curve of 0.877. CONCLUSIONS: This study found that the SCm portable device was accurate in identifying psychiatric patients with OSA. AHI measurement by SCm provided reliable diagnostic performance in comparison with the gold standard polysomnography. These findings support the integration of polygraphic measurements into the routine sleep assessment of psychiatric patients. Early and accurate diagnosis of OSA in this population can significantly improve the management of both sleep disorders and psychiatric conditions, potentially enhancing overall treatment outcomes and quality of life for these patients.