Common mental disorders and associated factors among mothers of children attending severe acute malnutrition treatment in Gedio Zone, Southern Ethiopia, 2022: a cross-sectional study.

BACKGROUND: Common mental disorders describe the physical, mental, and social disturbances that are more prevalent in low and middle-income countries. Mothers are among the more vulnerable groups especially mothers having children with under-nutrition. However, there are limited studies about the magnitude of common mental disorders among mothers of undernourished children in Ethiopia. Therefore, we aimed to assess the magnitude of common mental disorders and associated factors among mothers of children attending severe acute malnutrition treatment in Gedio Zone, Southern Ethiopia. METHODS: A cross-sectional study was employed on 405 systematically selected participants. The outcome variable was assessed by a self-reporting questionnaire (SRQ-20) which was applicable and validated in Ethiopia. Data were entered and analyzed by EPi data version 5 software and SPSS version 25 respectively. Model fitness was checked by Hosmer Lemeshow's test. Logistic regression was employed to identify significant determinants. A p-value < 0.05 was used to declare association and expressed by odds ratio with a 95% CI. RESULT: In this study, the magnitude of common mental disorders was 33.16% (95% CI [28.5-38])). In multivariable analysis, six factors poor social support [AOR: 14.0, 95% CI (5.45, 35.9)], educational status [AOR: 1.95, 95% CI (1.07. 3.55)], cigarette smoking [AOR: 10.9, 95% CI (1.78, 67.01)], mother of a child with another chronic disease [AOR: 3.19, 95% CI (1.13, 8.99)], sexual violence [AOR: 4.14, 95% CI (1.38, 12.4)] and mothers with chronic disease [AOR: 3.44, 95% CI (1.72, 6.86)] were significantly associated with common mental disorders. CONCLUSION: The magnitude of common mental disorders was high. Six factors were significantly associated with common mental disorders; social support, sexual violence, maternal chronic illness, educational status, smoking, and mother of child with other chronic disease. Community awareness regarding the effect of violence, substance use, and social support on mental health should be created by the local stakeholders.

Comparing nurses attending a specialised mental health programme with and without substance use disorder: a retrospective, observational study in Spain.

OBJECTIVES: To analyse the differences between nurses with and without substance use disorders (SUDs) admitted to a specialised mental health programme. DESIGN: Retrospective, observational study. SETTING: Specialised mental health treatment programme for nurses in Catalonia, Spain. PARTICIPANTS: 1091 nurses admitted to the programme from 2000 to 2021. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOMES: Sociodemographic, occupational and clinical variables were analysed. Diagnoses followed Diagnostic and Statistical Manual of Mental Disorders, 4th edition, Text Revision criteria. RESULTS: Most nurses admitted to the programme were women (88%, n=960) and came voluntarily (92.1%, n=1005). The mean age at admission was 45 (SD=10.4) years. The most common diagnoses were adjustment disorders (36.6%, n=399), unipolar mood disorders (25.8%, n=282), anxiety disorders (16.4%, n=179) and SUDs (13.8%, n=151). Only 19.2% (n=209) of the sample were hospitalised during their first treatment episode. After multivariate analysis, suffering from a SUD was significantly associated with being a man (OR=4.12; 95% CI 2.49 to 6.82), coming after a directed referral (OR=4.55; 95% CI 2.5 to 7.69), being on sick leave at admission (OR=2.21; 95% CI 1.42 to 3.45) and needing hospitalisation at the beginning of their treatment (OR=12.5; 95% CI 8.3 to 20). CONCLUSIONS: Nurses with SUDs have greater resistance to voluntarily asking for help from specialised mental health treatment programmes and have greater clinical severity compared with those without addictions. SUDs are also more frequent among men. More actions are needed to help prevent and promote earlier help-seeking behaviours among nurses with this type of mental disorder.

Interventions to improve the mental health of women experiencing homelessness: A systematic review of the literature.

BACKGROUND: Homelessness is a growing public health challenge in the United Kingdom and internationally, with major consequences for physical and mental health. Women represent a particularly vulnerable subgroup of the homeless population, with some evidence suggesting that they suffer worse mental health outcomes than their male counterparts. Interventions aimed at improving the lives of homeless women have the potential to enhance mental health and reduce the burden of mental illness in this population. This review synthesised the evidence on the effectiveness and acceptability of interventions which aim to improve mental health outcomes in homeless women. METHODS: Five electronic bibliographic databases: MEDLINE, PsycInfo, CINAHL, ASSIA and EMBASE, were searched. Studies were included if they measured the effectiveness or acceptability of any intervention in improving mental health outcomes in homeless women. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) Quality Assessment Tool. A narrative summary of the study findings in relation to the research questions was produced. RESULTS: Thirty-nine studies met inclusion criteria. Overall, there was moderate evidence of the effectiveness of interventions in improving mental health outcomes in homeless women, both immediately post-intervention and at later follow-up. The strongest evidence was for the effectiveness of psychotherapy interventions. There was also evidence that homeless women find interventions aimed at improving mental health outcomes acceptable and helpful. CONCLUSIONS: Heterogeneity in intervention and study methodology limits the ability to draw definitive conclusions about the extent to which different categories of intervention improve mental health outcomes in homeless women. Future research should focus on lesser-studied intervention categories, subgroups of homeless women and mental health outcomes. More in-depth qualitative research of factors that enhance or diminish the acceptability of mental health interventions to homeless women is also required.

Increased risk of psychiatric disorder in patients with hearing loss: a nationwide population-based cohort study.

BACKGROUND: Hearing loss has been shown to be a risk factor for psychiatric disorders. In addition, long-term hearing loss is associated with increased hospitalization and mortality rates; however, the increased risk and duration of effect of hearing loss in combination with other chronic diseases on each psychiatric disorder are still not clearly defined. The purpose of this article is to clarify the risk of hearing loss for each disorder over time. METHODS: This was a retrospective cohort study, and a national health insurance research database in Taiwan was utilized. All (n = 1,949,101) Taiwanese residents who had a medical visit between 2000 and 2015 were included. Patients with hearing loss and a comparative retrospective cohort were analyzed. Every subject was tracked individually from their index date to identify the subjects who later received a diagnosis of a psychiatric disorder. The Kaplan‒Meier method was used to analyze the cumulative incidence of psychiatric disorders. Cox regression analysis was performed to identify the risk of psychiatric disorders. RESULTS: A total of 13,341 (15.42%) and 31,250 (9.03%) patients with and without hearing loss, respectively, were diagnosed with psychiatric disorders (P < 0.001). Multivariate analysis indicated that hearing loss significantly elevated the risk of psychiatric disorders (adjusted HR = 2.587, 95% CI 1.723-3.346, p < 0.001). CONCLUSION: Our findings indicate that patients with hearing loss are more likely to develop psychiatric disorders. Furthermore, the various psychiatric disorders are more likely to occur at different times. Our findings have important clinical implications, including a need for clinicians to implement early intervention for hearing loss and to pay close attention to patients' psychological status. Trial registration TSGHIRB No. E202216036.

Distributions of recorded pain in mental health records: a natural language processing based study.

OBJECTIVE: The objective of this study is to determine demographic and diagnostic distributions of physical pain recorded in clinical notes of a mental health electronic health records database by using natural language processing and examine the overlap in recorded physical pain between primary and secondary care. DESIGN, SETTING AND PARTICIPANTS: The data were extracted from an anonymised version of the electronic health records of a large secondary mental healthcare provider serving a catchment of 1.3 million residents in south London. These included patients under active referral, aged 18+ at the index date of 1 July 2018 and having at least one clinical document (≥30 characters) between 1 July 2017 and 1 July 2019. This cohort was compared with linked primary care records from one of the four local government areas. OUTCOME: The primary outcome of interest was the presence of recorded physical pain within the clinical notes of the patients, not including psychological or metaphorical pain. RESULTS: A total of 27 211 patients were retrieved. Of these, 52% (14,202) had narrative text containing relevant mentions of physical pain. Older patients (OR 1.17, 95% CI 1.15 to 1.19), females (OR 1.42, 95% CI 1.35 to 1.49), Asians (OR 1.30, 95% CI 1.16 to 1.45) or black (OR 1.49, 95% CI 1.40 to 1.59) ethnicities, living in deprived neighbourhoods (OR 1.64, 95% CI 1.55 to 1.73) showed higher odds of recorded pain. Patients with severe mental illnesses were found to be less likely to report pain (OR 0.43, 95% CI 0.41 to 0.46, p<0.001). 17% of the cohort from secondary care also had records from primary care. CONCLUSION: The findings of this study show sociodemographic and diagnostic differences in recorded pain. Specifically, lower documentation across certain groups indicates the need for better screening protocols and training on recognising varied pain presentations. Additionally, targeting improved detection of pain for minority and disadvantaged groups by care providers can promote health equity.

Diagnoses of common mental disorders among social workers in Sweden: A register-based cohort study.

BACKGROUND: Little is known about common mental disorders (CMD) diagnoses among social workers, i.e., depression, anxiety, or stress-related disorders. This study aims to examine the risk of CMD among social workers in comparison to other workers and to further investigate differences between men and women and specific occupational titles. METHODS: This register-based cohort study consists of 3,034,304 persons, of which 26,610 were social workers (0.9 % of all workers), aged 30-64 years, living in Sweden in 2015. The risk of diagnosed CMDs was followed up until 2020. Cox regression models were used to calculate hazard ratios (HR) and 95 % confidence intervals (CI), adjusting for sex, birth country, education, and birth year. RESULTS: The participants were followed up by a total of 16,833,742.9 person-years, with an average follow-up of 5.5 years. Social workers, compared to other workers, were at a higher risk of CMD (HR 1.3, 95 % CI 1.2-1.4) after adjustment. The HR was equal, 1.3, for depression (95 % CI 1.2-1.5) and anxiety or stress-related disorder (95 % CI 1.2-1.4). The association between social work and CMD was stronger among men (HR 1.7, 95 % CI 1.6-1.9) compared to women (HR 1.2, 95 % CI 1.1-1.3). Further, men working as assistance analysts had the highest risk among the occupational categories (HR 2.2, 95 % CI 1.2-3.9). LIMITATIONS: CMD diagnoses only included cases treated in secondary care. CONCLUSIONS: Social workers, especially male social workers, had a higher risk of CMD. This deserves attention for future research and interventions aimed at improving the mental health of social workers.

The Pandemic of Invisible Victims in American Mental Health.

Although considerable attention has been devoted to the concepts of "visible" and "invisible" victims in general medical practice, especially in relation to resource allocation, far less consideration has been devoted to these concepts in behavioral health. Distinctive features of mental health care in the United States help explain this gap. This essay explores three specific ways in which the American mental health care system protects potentially "visible" individuals at the expense of "invisible victims" and otherwise fails to meet the needs of great numbers of people with serious psychiatric conditions: prioritization of the wrong patients, incentivization of excessive caution among providers, and a narrow definition of psychiatry's purview. While each of these practices has been discussed elsewhere in the literature, they are rarely considered as part of an interrelated and systemic problem. Reconceptualizing these three issues as aspects of the larger conflict between the interests of "visible" and "invisible" victims may prove a path toward reform.

Holding the Guardrails on Involuntary Commitment.

In response to the increasing number of mentally ill people experiencing homelessness, some policy-makers have called for the expanded use of involuntary commitment, even for individuals who are not engaging in behaviors that are immediately life-threatening. Yet there is no evidence that involuntary commitment offers long-term benefits, and significant reasons to believe that expanding the practice will cause harm. In addition, these proposals ignore research showing that most people with mental illness have the capacity to make medical decisions for themselves. Rather than expanding the use of involuntary commitment, policy-makers should support approaches proven to decrease the prevalence of homelessness, such as supportive housing. In addition, states should reevaluate their commitment standards for persons who pose no risk of harm to others. One promising approach is Northern Ireland's Mental Health Capacity Act of 2016, which establishes a uniform standard for imposing nonconsensual health care interventions, without any distinction between mental illnesses and other conditions in which capacity might be compromised.

The PERSIAN Cohort: Prevalence of Psychiatric Disorders Among Employees.

BACKGROUND: Considering the impact of psychiatric disorders on the productivity of individuals and society's economy, we aimed to determine the prevalence of psychiatric disorders among the employees of Tabriz University of Medical Sciences. METHODS: This cross-sectional study was conducted on 1282 employees of Tabriz University of Medical Sciences in 2019. The required data were collected by trained psychologists using Composite International Diagnostic Interview (CIDI). In this process, psychiatric disorders were considered dependent variables, and demographic variables as independent variables. The relationship between independent and dependent variables was assessed using the chi-square test and Binary logistic regression in Stata version 17. RESULTS: The prevalence of generalized anxiety disorder (GAD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD) among employees was 14.12%, 12.48%, and 3.9%, respectively. The prevalence of GAD in women was significantly higher than men (17.06% vs. 10.02%, P<0.001). The prevalence of GAD was 42.86%, 15.97%, 13.49%, and 16.67 in widowed, single, married, and divorced employees, respectively (P=0.016). The prevalence of MDD in women was significantly higher than men (16.59% vs. 7.64%, P<0.001). The prevalence of MDD was 16.3%, 11.2%, 9.6%, and 8.56% in employees with Bachelor's, Associate, Master's degree, and High school diploma, respectively (P=0.009). CONCLUSION: Considering the relatively high prevalence of GAD and MDD among the employees of Tabriz University of Medical Sciences, strengthening counseling centers in the university and encouraging employees to participate in these centers, and examining them in terms of mental health help identify people at risk of mental disorders in time and provide counseling services to these people.

Protocol for a systematic review and meta-analysis of the prevalence of mental illness among nursing home residents.

BACKGROUND: There is a high prevalence of mental illness in nursing home residents compared to older adults living in the community. This was highlighted in the most recent comprehensive systematic review on the topic, published in 2010. In the context of a rapidly aging population and increased numbers of older adults requiring residential care, this study aims to provide a contemporary account of the prevalence of mental illness among nursing home residents. METHODS: This protocol was prepared in line with the PRISMA-P 2015 Statement. Systematic searches will be undertaken across six electronic databases: PubMed, Embase, Web of Science, PsycNET, CINAHL, and Abstracts in Social Gerontology. Peer-reviewed studies published from 2009 onwards which report the prevalence of mental illness within nursing home populations will be included. Database searches will be supplemented by forward and backward citation searching. Titles and abstracts of records will be screened using a semi-automated process. The full text of selected records will be assessed to confirm inclusion criteria are met. Study selection will be recorded in a PRISMA flowchart. A pilot-tested form will be used to extract data from included studies, alongside the JBI Critical Appraisal Checklist for Studies Reporting Prevalence Data. A study characteristics and results table will be prepared to present key details from each included study, supported by a narrative synthesis. Random-effects restricted maximum likelihood meta-analyses will be performed to compute pooled prevalence estimates for mental illnesses represented in the identified studies. Heterogeneity will be assessed using Cochran's Q and Higgins' I2 statistics. A Funnel plot and Egger's test will be used to assess publication bias. The GRADE approach will be used to assess the quality of the body of evidence identified. DISCUSSION: The study will provide a comprehensive and contemporary account of the prevalence of mental illness among nursing home residents. Meta-analyses will provide robust prevalence estimates across a range of presentations. Key insights will be highlighted, including potential sources of heterogeneity. Implications for residents, researchers, care providers, and policymakers will be noted. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42023456226.

[Challenges and resolutions in mental health support for medical students. Mental Health Counseling Service at Semmelweis University].

The prevalence of mental health problems is on the rise worldwide, and there appears to be a significant increase in young university students as well - a British study found a fivefold increase in the prevalence of mental health problems in adolescents over a 10-year period. In the world of medical universities, full of stressful challenges and a competitive atmosphere, the above factors put even more pressure on students. The less favorable mental state of medical students compared to students of other universities is well known and cannot be considered as specific to Hungary. There are several national and international studies that emphasize the multicausal origin of this phenomenon. In order to support the mental and physical well-being of students, to reduce dropout rates and to prevent various psychiatric disorders, the development of well-being services is advocated worldwide. In our paper, we present the curricular and extracurricular mental health promotion opportunities available to students at Semmelweis University, with a special focus on the Student Counselling Service.

Characterizing the hierarchical depression phenotype in sexually diverse individuals.

INTRODUCTION: Sexual diverse individuals are at high risk for internalizing psychopathologies, such as depression. Understanding how symptom profiles of heterogeneous psychiatric disorders such as depression differ for sexually diverse vs. heterosexual individuals is thus critical to advance precision psychiatry and maximize our ability to effectively treat members of this population. Research has failed to consider the possibility of hierarchical phenotypes, wherein sexual orientation status may be uniquely and simultaneously associated with both depression broadly and with individual symptoms. METHOD: To address these issues, we conducted a moderated nonlinear factor analysis in Wave IV of the Add Health study, using sexual diversity status as a predictor of (a) latent depression, (b) factor loadings, and (c) individual symptoms, with and without controlling for race. RESULTS: Sexual diversity status was positively and simultaneously associated with latent depression, concentration difficulties, and happiness. DISCUSSION: These findings suggest that sexually diverse populations not only face greater depression, broadly defined, but are disproportionately more likely to experience concentration difficulties and be happier compared to heterosexual counterparts. Methodologically, these models indicate that the CES-D is scalar noninvariant as a function of sexual diversity status (i.e., identical scores on the CES-D may represent different manifestations of depression for sexually diverse and heterosexual participants). Studies examining disparities in depression across heterosexual and sexually diverse samples should thus consider depression broadly as well as specific symptoms. Further, it is critical to examine whether these relations function via different mechanisms.

Medical Spending Among US Households With Children With a Mental Health Condition Between 2017 and 2021.

This cross-sectional study examines US household medical spending for children with a mental health condition between 2017 and 2021.

Testing whether the relations between sex and psychopathology are accounted for by structural morphometry in ABCD.

Sex differences in psychopathology are well-established, with females demonstrating higher rates of internalizing (INT) psychopathology and males demonstrating higher rates of externalizing (EXT) psychopathology. Using two waves of data from the Adolescent Brain Cognitive Development Study (N = 6,778 at each wave), the current study tested whether the relations between sex and psychopathology might be accounted for by structural brain differences. In general, we found robust, relatively consistent relations between sex and structural morphometry across waves. Relatively few morphometric brain variables were significantly related to INT or EXT across waves, however, with very small effect sizes when present. Next, we tested the extent to which each morphometric brain variable could account for the associations of sex with INT and EXT psychopathology. We found a total of 26 brain regions that accounted for significant portions of the associations between sex and psychopathology across both waves (almost all related to EXT), although the effects present were very small. The current evidence suggests that in children aged 9-12, multiple whole-brain and regional brain variables appear to statistically account for small portions of the sex-psychopathology links, especially for externalizing. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data.

Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.