Prevalence Of Mental Disorders Research Articles

Prevalence of Neurodevelopmental, Mental, and Behavioral Disorders in a Sample of U.S. Commercially Sexually Exploited Youth, and Associations with Health and Health Care Access

Prevalence of Neurodevelopmental, Mental, and Behavioral Disorders in a Sample of U.S. Commercially Sexually Exploited Youth, and Associations with Health and Health Care Access

Prevalence of mental disorders and related risk factors in refugees and asylum seekers in Campania

IntroductionIn recent years, the increasing presence of refugees and asylum seekers displaced from their country of origin, determined significant social, economic, humanitarian and public health implications in host countries, including Italy. These populations are exposed to several potential stressful experiences which make them vulnerable to psychological distress. In fact, the majority of studies addressing the topic found a higher prevalence of mental disorders, especially post-traumatic stress disorder and major depressive disorder, in refugees and asylum seekers with respect to the general population. However, heterogeneous prevalence rates have been reported among studies, due to methodological factor as well as to the impact of a variety of risk factors related to stressful experiences lived in the country of origin, during the migration journey and in the host country.ObjectivesThe aim of the present study was to assess the prevalence of the main psychiatric diagnoses in a large group of adult refugees and asylum seekers (N=303) in the reception centers of two provinces of the Campania region, as well as to investigate the impact of potential risk factors on the occurrence of psychiatric disorders.MethodsThe diagnosis of psychiatric disorders and the identification of subjects at high risk to develop psychosis were carried out by means of structured diagnostic interviews. The following variables were explored as potential risk/protective factors to the occurrence of psychiatric disorders: socio-demographic variables, migration status (refugees/asylum seekers) and characteristics of the reception center,assessed by means of an ad hoc questionnaire; cognitive indices assessed by using standardized neuropsychological tests; traumatic experiences and level of political terror in the country of origin, assessed by means of reliable and valid self-report questionnaires.ResultsAt least one mental disorder was found in 29.7% of the sample. Most prevalent diagnoses were depressive disorders, anxiety disorders and PTSD. Women showed, with respect to men, a higher prevalence of anxiety disorders, higher trauma levels, and came from more at-risk countries. Higher trauma levels, better cognitive abilities and unemployment and refugee status were associated to the presence of a current psychiatric disorder in the whole sample.ConclusionsOur findings showed a higher prevalence of depressive disorders and PTSD in the sample of refugees and asylum seekers with respect to the general population and highlighted the role of potential risk factors whose identification may guide the implementation of preventive strategies and early treatments in these people.

Abstract 4140130: Association of Depression and Anxiety with Coronary Plaque: The Miami Heart Study (MiHeart)

Introduction: The prevalence of psychological disorders have been increasing, especially since the COVID-19 pandemic. Multiple mechanisms such as medication nonadherence, negative coping behaviors, and systemic inflammation may mediate the potential effects of depression and anxiety on atherosclerosis. Question: Is there an association of depression or anxiety with the presence of plaque assessed by coronary computed tomography angiography (CCTA) among adults free of clinical coronary artery disease (CAD)? Aim: We aim to examine the association of psychological factors with CCTA-based plaque, as they may be key targets for prevention and CCTA could be considered for enhanced risk characterization. Methods: This cross-sectional study analyzed baseline data from the community-based Miami Heart Study (MiHeart). Depression was assessed by the Patient Health Questionnaire 8-item scale with a score ≥10 indicating binary depression. Anxiety was assessed by the Generalized Anxiety Disorder 7-item questionnaire with a score ≥10 demonstrating binary anxiety. The outcome was the binary presence of any plaque on CCTA. Multivariable logistic regression models were adjusted for potential confounders and clinically relevant risk factors. Sensitivity analyses further examined the severity of depressive symptoms, severity of anxiety symptoms, individuals with either depression or anxiety, and individuals with both depression and anxiety as predictors of coronary plaque. Results: Of the 2,356 individuals (mean age 53.4±6.8 years), 50.4% were men and 47.1% were of Hispanic ethnicity. Depression and anxiety were reported in 143 (6.1%) and 224 (9.5%) of individuals, respectively. CCTA-identified plaque was present in 49.0% of participants with depression and 54.0% of those with anxiety, and plaque presence did not significantly differ when compared to those without depression or without anxiety, respectively. There were no significant associations between depression and plaque (adjusted odds ratio [aOR]: 1.03; 95%CI [0.70, 1.52]; p=0.891) or between anxiety and plaque (aOR: 1.27; 95%CI [0.93, 1.73]; p=0.138) in all regression models. On sensitivity analysis, there were also no statistically significant associations found. Conclusion: Our study found no association of depression, anxiety, their combination, or their severity with coronary plaque on CCTA in asymptomatic adults. To our knowledge, this is the first large study on this topic utilizing CCTA data in a U.S. population.

A novel ATP2A2 mutation in Darier and genotype phenotype: correlation analysis.

Darier's disease (DD) is a skin disorder caused by mutations in the ATP2A2 gene. Researchers have been investigating the correlation between genotype and phenotype in DD. Understanding the genotype-phenotype relationship in DD can enhance our comprehension of the genetic background and phenotypic characteristics of the condition, as well as the relationship between its systemic and localized manifestations. This study aimed to investigate the molecular pathogenesis of DD in a Chinese family, and to elucidate the genotype-phenotype correlation in DD by summarizing relevant literature. Gene mutations associated with DD were screened by whole-exome sequencing and verified using Sanger sequencing. Genetic analysis assessed the potential impact of these mutations. Genotype-phenotype correlation was obtained by chi-square analysis using literature search test. (1) A novel ATP2A2 Missense mutation, c.2560T>C (p.W854R), was identified and confirmed by Sanger sequencing. Annotation analysis with the ANNOVAR tool indicated that this mutation disrupts normal protein function and is linked to DD clinical manifestations. (2) Genotype-phenotype analysis showed a significant correlation between the prevalence of DD-related mental disorders and geographic regions (P = 0.00), but no association between mutation type and mental disorder prevalence (P = 0.324). The age of onset varied between sporadic and familial cases (P = 0.032), averaging 33years in sporadic cases and 16years in familial cases. By analyzing the genotype-phenotype correlation, we aim to enhance our understanding of the genetic basis of DD. This research could improve early diagnosis, intervention, and the development of personalized long-term health management plans.

Mental health trajectories across COVID-19 and beyond: South African occupational health surveillance data (2019–2023)

There are inconsistent reports on the impact of the COVID-19 pandemic and its associated social restrictions on mental health, with initial suggestions of an increased prevalence of mental disorders in South Africa. However, the longitudinal trajectories of mental health responses across the COVID-19 pandemic are not clear. The primary aim of this study was to describe the trajectories of self-reported common mental disorders, as determined by repeat administration of clinical screening tools across five consecutive years (from 2019 to 2023). A secondary aim was to consider associations with demographic factors such as gender and age. Point prevalence estimates were obtained from a South African occupational mental health surveillance programme in a stable workplace population. Trajectories of common mental disorders across COVID-19 were determined using the Patient Health Questionnaire-9 and Generalised Anxiety Disorder-7 to identify Major Depressive Disorder and Generalised Anxiety Disorder, respectively. Prevalence estimates for depression and anxiety disorders initially remained stable before increasing towards mid-2021 and returning to pre-COVID-19 estimates by end-2022. Suicidal ideation decreased early into the pandemic but returned to pre-COVID-19 levels by 2021. The study suggests that on a practical level, readily available access to mental health care remains an important mechanism to protect mental health during and after major societal disruptor events. This can further be supported through regular monitoring and through providing high-intensity early intervention for at least 18 to 24 months following such events.

Applying an osteopathic intervention to improve mild to moderate mental health symptoms: a mixed-methods feasibility randomised trial.

The increasing prevalence of mental health disorders in the United Kingdom necessitates the exploration of novel treatment modalities. This study aimed to assess the feasibility and acceptability of conducting a randomised controlled trial (RCT) evaluating the efficacy of four osteopathic interventions on psychophysiological and mental health outcomes. A mixed-methods feasibility study with an explanatory sequential design was implemented. The quantitative phase involved randomising 42 participants into four intervention groups: (1) high-velocity and articulation techniques (HVAT), (2) soft-tissue massage (STM), (3) craniosacral therapy (CST), and (4) a combination approach. Primary outcome measures encompassed recruitment rate, assessment duration, questionnaire completion, intervention attrition, and adverse events. Secondary outcomes included validated assessments of depression, anxiety, stress, psychological flexibility, heart rate variability (HRV), and interoception, administered pre- and post-intervention. Analysis of variance (ANOVA) was employed to evaluate pre-post intervention changes. The qualitative phase comprised semi-structured interviews analysed using thematic analysis. The study achieved a recruitment rate of 21 eligible participants per month, with 54.8% of respondents meeting eligibility criteria. All 33 participants who completed the study underwent interventions and assessments within the allocated one-hour timeframe, with full questionnaire completion. The attrition rate was 21%. No adverse events were reported. Qualitative analysis revealed positive participant experiences, with themes highlighting good practitioner communication, intervention accessibility, and increased bodily awareness. Some participants found the questionnaire battery burdensome. Exploratory quantitative analyses showed variations in effects across interventions for heart rate variability, interoceptive accuracy, and mental health measures, but these results should be interpreted cautiously due to the small sample size. This study provides evidence supporting the feasibility and acceptability of a larger-scale RCT investigating osteopathic interventions for individuals presenting with mild psychological symptoms. The preliminary findings suggest potential efficacy in improving mental health outcomes, warranting further investigation. Trial registration NCT05674071, registered 06/01/2023.

Hemoglobin level and common mental disorder among school adolescent girls in Central Ethiopia: Structural Equation Model.

The prevalence of common mental disorder (CMD) and anemia is observed to be on the rise over time, adversely affecting the health and overall quality of life among adolescents. Extensive literature corroborates the significant impact of anemia on cognitive development, intelligence and developmental milestones. Nevertheless, the linkage between hemoglobin level and CMD emerging during adolescence remains relatively unexplored. Thus, the objective of this study was to investigate the association between hemoglobin level and CMD as well as the mediating factor among school adolescent girls residing in Central Ethiopia. A cross-sectional study design was conducted among adolescent girls attending schools in Silti Woreda, Central Ethiopia, comprising a total sample size of 516 individuals during the period from October 2-20, 2023. Hemoglobin level was adjusted for altitude, while CMD was evaluated utilising the summation score of a 20-item Self-Reporting Questionnaire. Data were analysed through fitting Structural Equation Model and the maximum likelihood estimation method. Goodness of fit was assessed using the χ2The -test statistic, Comparative Fit Index, Root Mean Square Error of Approximation, Standardised Root Mean Square Residual, Non-Normed Fit Index, Pclose and coefficient of determination (R2). The prevalence of CMD was 22.3% (95% CI: 18.6%-25.8%). Hemoglobin level (UTE = -0.73, CI: -0.93, -0.53) and experience of morbidity symptoms (UTE = 1.05; CI: 0.74, 1.38) were significantly associated with CMD. Furthermore, hemoglobin level is significantly influenced by morbidity frequency symptoms (UDE = -0.63, CI = -0.77, -0.49) and animal source food (ASF) (UDE = 0.09, CI = 0.01, 0.17). Hemoglobin level has been identified as a significant mediator of the experience of morbidity symptoms and ASF on CMD. However, household food insecurity and wealth index had no significant association with CMD. A significant proportion of adolescent girls face CMD, often linked to a lower hemoglobin level. Having a significant association with CMD, the hemoglobin level is found to mediate a significant effect of morbidity symptom experience and ASF on CMD. Hence, addressing early infection prevention, promoting ASF and treating anemia are promptly needed.

Study on the Mechanism of Dictyophora duplicata Polysaccharide in Reducing Depression-like Behavior in Mice.

Depression is a prevalent worldwide mental health disorder that inflicts significant harm to individuals and society. Dictyophora duplicata is an edible fungus that contains a variety of nutrients, including polysaccharides. This study aims to investigate the monosaccharide composition and molecular weight of the Dictyophora duplicata polysaccharide (DDP-B1), followed by an exploration of its antidepressant effects in chronic unpredictable mild stress (CUMS) mice. Dictyophora duplicata was purified using a DEAE-52 column and an S-400 column to obtain DDP-B1. The monosaccharide composition and molecular weight of DDP-B1 were investigated via high-performance gel permeation chromatograph. Six-week-old C57BL/6 male mice were utilized for the CUMS modeling to evaluate the antidepressant efficacy of DDP-B1. Fluoxetine served as the positive control group. The depressive-like behaviors and brain pathology of mice were evaluated. Immunofluorescence (IF) staining, metabolomics analysis, and western blot were employed to further investigate the underlying mechanisms. DDP-B1 significantly alleviated the depression-like behavior of CUMS mice and increased the expression of SYN and PSD-95 in the mice's brains, which was further validated by western blot. Metabolomics analysis indicated a reduction in serum glutamate in CUMS mice following DDP-B1 treatment. Moreover, DDP-B1 treatment led to an increase in levels of GABAAR, BDNF, p-TrkB and p-p70S6K. DDP-B1 regulated abnormalities in the glutamatergic system, subsequently activated the BDNF-TrkB-mTOR pathway and mitigated the pathological manifestations of CUMS mice. This study validated the potential of DDP-B1 as an antidepressant medication and established a theoretical foundation for the development of fungi with similar properties.

Screening for Depression Using Natural Language Processing: Literature Review.

Depression is a prevalent global mental health disorder with substantial individual and societal impact. Natural language processing (NLP), a branch of artificial intelligence, offers the potential for improving depression screening by extracting meaningful information from textual data, but there are challenges and ethical considerations. This literature review aims to explore existing NLP methods for detecting depression, discuss successes and limitations, address ethical concerns, and highlight potential biases. A literature search was conducted using Semantic Scholar, PubMed, and Google Scholar to identify studies on depression screening using NLP. Keywords included "depression screening," "depression detection," and "natural language processing." Studies were included if they discussed the application of NLP techniques for depression screening or detection. Studies were screened and selected for relevance, with data extracted and synthesized to identify common themes and gaps in the literature. NLP techniques, including sentiment analysis, linguistic markers, and deep learning models, offer practical tools for depression screening. Supervised and unsupervised machine learning models and large language models like transformers have demonstrated high accuracy in a variety of application domains. However, ethical concerns related to privacy, bias, interpretability, and lack of regulations to protect individuals arise. Furthermore, cultural and multilingual perspectives highlight the need for culturally sensitive models. NLP presents opportunities to enhance depression detection, but considerable challenges persist. Ethical concerns must be addressed, governance guidance is needed to mitigate risks, and cross-cultural perspectives must be integrated. Future directions include improving interpretability, personalization, and increased collaboration with domain experts, such as data scientists and machine learning engineers. NLP's potential to enhance mental health care remains promising, depending on overcoming obstacles and continuing innovation.

Unhealthy Dietary Pattern Associated with Common Mental Disorders in Adults and Older Adults: A Population-based Study

Background:: Mental and behavioral disorders are influenced by biological, psychological and social factors, especially income, gender, age and family environment, indicating that physical health is directly associated with mental health. In this perspective, food consumption is highlighted as a risk factor for mental health, as healthy behaviors, along with a good quality diet, can reduce symptoms of anxiety and depression. Objective:: The objective of this a study is to investigate the association between CMD and dietary patterns, among other lifestyle and socioeconomic factors. Method:: Cross-sectional population-based and household study conducted with 1574 individuals aged over 20 years, of both sexes, residing in Teresina and Picos, Piaui, Brazil. Sociodemographic, lifestyle and food consumption data were collected. The instrument used to identify the presence of CMDs was the Self Reporting Questionnaire 20 (SRQ-20). Dietary patterns were obtained using the Principal Component Analysis method. Results:: Individuals of female sex, separated, with low education, smokers and lower level of physical activity had a higher prevalence of common mental disorders. As for the eating pattern, after adjustments, individuals who adhered to the unhealthy eating pattern had a 9% higher prevalence of CMD. Furthermore, adherence to the white meat standard represented 12% higher prevalence of CMD. Conclusion:: The results showed that, regardless of other socioeconomic and lifestyle factors, adherence to a more monotonous eating pattern in foods, characterized by the mainly consumption of animal protein and the lack consumption of foods like fruits and vegetables, as well as a less healthy one, characterized by the consumption of ultra-processed foods, increases the risk of developing CMD.

A life course perspective on mental disorders and psychopharmacologic drug use among persons living with cerebral palsy

In this study, we investigated the prevalence of mental disorders and the use of psychopharmacologic drugs among individuals with cerebral palsy (CP). We studied how the association between CP and mental illness develops over the life course (between ages 5 and 65 years), and how it varies across disability specific factors (intellectual disability, gross motor function and communicative ability). We used logistic regression models on a longitudinal matched case-control data material on all persons with CP in Sweden linked to several administrative registers including, the national patient registers and the pharmaceutical registers.Our results showed that the probability of being diagnosed with mental disorders and being dispensed psychopharmacologic drug was significantly higher among persons with CP compared to persons without CP across the different outcomes [OR=1.52–4.7]. For some mental and neurodevelopmental disorders including sleep disorders, autism, and ADHD, and for the use of anxiolytics and sedatives, there was a sizeable gap already in childhood. However, the excess burden of mental illness appeared to grow over the life course, indicating that adults with CP may be a particularly disadvantaged group. Diagnosis for mental disorders and dispensation for psychopharmacologic drugs were not consistent with respect to disability specific factors, especially communicative and intellectual function, which indicates the need for systematic approaches in the mental health care of individuals with CP.

Food Consumption According to the NOVA Food Classification and Its Relationship with Symptoms of Depression, Anxiety, and Stress in Women.

Depression, anxiety, and stress are highly prevalent mental disorders worldwide, and food consumption can change in individuals with these conditions. We aimed to assess the food consumption of women with depressive symptoms and compare it to a control without symptoms. A cross-sectional study was conducted with 96 women, aged 18-59, allocated into two groups: control (n = 62) or depressive symptoms (n = 34). The participants underwent an anthropometric assessment, and food consumption was evaluated using a 24 h food recall and the NOVA classification. Depressive symptoms, anxiety, and stress were measured using the DASS-21 questionnaire. Anthropometric parameters did not differ between the groups. Women with depressive symptoms consumed fewer calories (p = 0.006), carbohydrates (p = 0.014), proteins (p = 0.036), and lipids (0.011) from unprocessed and minimally processed foods (UMPF) compared to the control women. A negative correlation was found between the dietary consumption energy of UMPF and symptoms of depression (r = -0.337; p = 0.001), anxiety (r = -0.262; p = 0.014), and stress (r = -0.260; p = 0.014), as well as a positive correlation between energy intake from ultra-processed foods (UPF) and symptoms of depression (r = 0.218; p = 0.042) and stress (r = 0.227; p = 0.034). Regression analysis showed that depressive symptoms accounted for 7.6% of the lower energy consumption from UMPF. Women with depressive symptoms displayed lower UMPF consumption, and this was negatively correlated with symptoms of depression, anxiety, and stress. Professional dietary advice can improve health status in these patients.

Young Adults with a History of Residential Youth Care: A Cohort Profile of a Hard-to-Reach Population

Adults with a history of living in residential youth care (RYC) face elevated risks across various life domains. In this cohort profile paper, we outline the design of a comprehensive follow-up study—the VINGO study—targeting young adults (22–30 years) with a history of living in RYC (T2). We describe the recruitment strategy and present sample characteristics. Data were collected in the baseline study (T1) from 2011 to 2014. At T1, the 400 adolescent participants showed a high prevalence of mental disorders, maltreatment experiences, substance use, and self-reported suicide attempts. Data collection at T2 10 years later (2021–2023) included self-reported sociodemographic information, physical health, childhood maltreatment, dissociation, quality of life, social support, and self-esteem using standardized and validated instruments. A diagnostic psychiatric assessment and subjective evaluation of service utilization were conducted by telephone interviews. Additionally, a qualitative sub-study involved in-depth interviews of fourteen participants. We reached a 52% response rate at T2. Comparing participants (n = 157, 107 females) to non-participants (n = 243, 123 females) based on T1 data revealed that T2 participants had a higher prevalence of depression, anxiety, and conduct disorder and a lower prevalence of ADHD at T1. Furthermore, T2 participants reported more suicide attempts, experiences of maltreatment, and problematic substance use at T1. Our results show that we reached a burdened population, positioning the VINGO study as a unique opportunity to examine a vulnerable population of emerging adults.

Investigating the Mental Health Outcomes and Treatment Gap Among Sexual Minorities in Czechia: A National Cross-Sectional Study

Abstract Aims This study aims to (1) estimate the prevalence and relative risk of mental disorders, (2) assess the severity of mental health symptoms, and (3) investigate the treatment gap for mental disorders within SM. Methods Data from a cross-sectional, nationally representative survey of 3,063 Czech adults (response rate = 58.6%) were utilized. The Mini-International Neuropsychiatric Interview was employed to screen for mental disorders. In those identified with mental disorders, help-seeking behaviors over the past 12 months were examined. The severity of mental health symptoms was evaluated using the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale. Prevalence rates of mental disorders associated treatment gaps, and relative risks of mental disorders were calculated. Results The prevalence of mental disorders among heterosexual, gay or lesbian, bisexual, and more sexually diverse individuals was 18.9% (17.4-20.3), 52.3% (36.9-67.6), 33.3% (19.5-47.2), and 25.9% (13.9-38), respectively. Suicidal thoughts and behaviors were reported in 5.7% (4.9-6.6) of heterosexual individuals compared with 25.0% (11.7-38.3) in gay or lesbian, 22.9% (10.6-35.3) in bisexual, and 11.1% (2.5-19.8) in more sexually diverse individuals. After adjusting for confounders, gay or lesbian individuals demonstrated an increased risk of having at least one current mental disorder compared with heterosexual people (OR = 3.5 95% CI(1.8-6.8)). Bisexual and more sexually diverse individuals demonstrated risks consistent with a null effect. No substantial differences in treatment gap were detected between heterosexuals and SM who scored positively for at least one current mental disorder. Conclusions The findings underscore the urgent need for systemic changes to improve the mental health outcomes of Czech SM. Addressing structural stigma and ensuring sensitive care are imperative to mitigate the health disparities faced by Czech SM.

Past-year mental health issues: discrepant survey & administrative data

Abstract Introduction Accurately measuring mental health disorder prevalence is crucial for public health planning. Administrative and survey data are common methods, but often yield differing results. This study compares case identification of mental health issues across these data sources in Slovenia. Methods We linked the 2019 European Health Interview Survey (EHIS) with three Slovenian health administrative databases: the National Hospital Health Care Statistics Database, Outpatient Prescription Drugs Database, and Absence From Work Database. Case identification utilized self-report of any mental health issue in the past 12 months and healthcare utilization records in 12 months preceding participation in EHIS. Multinomial logistic regression was used to examine the association between socio-demographic factors and case identification across data sources. Results Significant differences were found in 12 month prevalence of any mental health issue estimates between data sources. Only 45.9% of self-reported cases were identified in administrative data, and 36.6% of administrative cases self-reported mental health issues (Kappa = 0.302). Socio-demographics, including age, gender, education, and employment status, were significantly associated with the likelihood of identification in specific data sources. Discussion Our findings underscore the importance of data source and assessment tool selection on mental health prevalence estimates. Variations in identification across population subgroups could reflect differences in healthcare access and self-disclosure biases. Linking data sources and considering their inherent limitations is crucial for accurate burden estimation. Key messages • Data source and assessment methods significantly impact how we identify individuals with mental health issues in the past year. • Combining data sources and understanding their limitations is essential for improving mental health burden estimation.

Promoting mental health in higher education students: a pilot study

Abstract Introduction The mental health and well-being of higher education students is a relevant topic today, given the high prevalence of mental disorders and their increasing trend. Therefore, it is imperative to develop health education programs that aim to develop strategies to promote psychological well-being and reduce suffering in this population. Objectives To develop and implement a mental health promotion program, with interventions based on Yoga/meditation and Auriculotherapy, and evaluate its impact on the mental health of higher education students. Methodology Pretest-posttest design, with assessment before (T0), after the intervention (T1) and with a three-month follow-up (T2). Evaluation with the Portuguese version of the Mental Health Inventory (Pais-Ribeiro, 2001), and physiological assessment (heart rate, respiratory rate and blood pressure). 22 students participated in the intervention, randomly divided into two groups: Yoga/meditation group (GY) and Auriculotherapy group (GA), each with 11 students. Results The physiological parameters evaluated showed, in all sessions, a decrease in averages, regardless of the technique implemented. In the assessment at T0 and T1, it was found that there was a significant decrease in the Distress (p = 0.037) and Anxiety (p = 0.031) dimensions. In the evaluation over time (T0, T1 and T2), it was found, regardless of the technique implemented, that the intervention had a positive effect on the mental health of the students. Discussion The results point to the importance of developing mental health promotion programs in higher education.

Severity of Depression among Incarcerated Men in Meru, Main Prison

Purpose: Depression is one of the most prevalent mental disorders globally and it is known to cause impairment in cognitive, social, emotional and occupational functioning. In Kenya, a moderate to high prevalence of depression has been established among incarcerated men in several prisons, Meru main prison included. This study, therefore sought to assess the severity of depression among incarcerated men in Meru, Main Prison. Methodology: The study employed a quasi-experimental research design. The study was conducted in Meru, Main Prison. A sample size of 148 inmates was selected using a simple random sampling technique. Quantitative data was obtained from the social demographic questionnaire and the BDI-II. Results: The study found that the severity of depression among incarcerated men in Meru main prison was higher at 46.3% as opposed to moderate depression at 27.9%, and mild depression at 18%. This implied that prisoners going through severe depression are more than those other levels of depression. Conclusion: The study concluded that severity of depression was higher among the participants aged 20 to 30 years compared to other age categories and among the first time in prison. The proportion of clinical depression was higher among young adults aged 20-30 years in prison compared to the middle adults and adults 30-50 years. Therefore, it is recommended that the government of Kenya may engage young adults with job opportunities, and social engagement. This might limit the proportion of young adults languishing in prison instead of utilizing their youthful strength productively in society.

Brain inflammaging in the pathogenesis of late-life depression.

Late-life depression (LLD) is a prevalent mental disorder among older adults. Previous studies revealed that many pathologic factors are associated with the onset and development of LLD. However, the precise mechanisms that cause LLD remain elusive. Aging induces chronic inflammatory changes mediated by alterations of immune responses. The chronic systemic inflammation termed "inflammaging" is linked to the etiology of aging-related disorders. Aged microglia induce senescence-associated secretory phenotype (SASP) and transition to M1-phenotype, cause neuroinflammation, and diminish neuroprotective effects. In addition, there is an age-dependent loss of blood-brain barrier (BBB) integrity. As the BBB breakdown can lead to invasion of immune cells into brain parenchyma, peripheral immunosenescence may cause microglial activation and neuroinflammation. Therefore, it is suggested that these mechanisms related to brain inflammaging may be involved in the pathogenesis of LLD. In this review, we described the role of brain inflammaging in LLD. Pharmacologic approaches to prevent brain inflammaging appears to be a promising strategy for treating LLD.

Cost-effectiveness analysis of mindfulness-based cognitive therapy in patients with anxiety disorders in secondary mental health care settings alongside a randomized controlled trial.

Anxiety disorder is one of the most prevalent mental disorders. Mindfulness-based cognitive therapy (MBCT) is effective for treating anxiety disorders. However, no studies have investigated the cost-effectiveness of MBCT for anxiety disorders. We aimed to conduct a cost-effectiveness analysis alongside a randomized controlled trial (RCT) to clarify the cost-effectiveness of MBCT for anxiety disorders. A cost-effectiveness analysis alongside an RCT was conducted for 8 weeks in 40 patients with anxiety disorders at a university hospital. Patients (1) aged 20-75 years; (2) who were diagnosed with panic disorder/agoraphobia or social anxiety disorder based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria; and (3) who provided written consent were analyzed. The participants were allocated randomly (1:1 ratio) to the augmented MBCT group (i.e., MBCT plus treatment as usual [TAU]) or TAU (waitlist control) group. The cost-effectiveness was assessed using the incremental cost-effectiveness ratio (ICER), which is the ratio of the incremental costs divided by the incremental state-trait anxiety inventory- state (STAI-S), state-trait anxiety inventory- trait (STAI-T), and quality-adjusted life years (QALYs). The QALYs were estimated using The Japanese version of EuroQoL five-dimensional 3-level questionnaire. The unit cost data were derived from the government-regulated fees. This study was conducted from a public healthcare insurance perspective. No discount rates were considered. A total of 38 participants with complete data were included in the analysis. The MBCT was JPY 13,885 more than the cost of TAU and was associated with a STAI-S, STAI-T, and QALY increase of 10.13, 12.00, 0.009 respectively. The ICER were JPY 1,371 (USD13) per STAI-S, JPY 1,157 (USD 11) per STAI-T, and JPY 1,566,357 (USD 14,940) per QALY respectively. MBCT had an 77.5% probability of being cost-effective at a willingness to pay threshold in Japan (JPY 5,000,000 per QALY). The results of the four one-way sensitivity analyses supported the robustness of the base-case analysis findings. Augmented MBCT for anxiety disorders is cost-effective compared with TAU post-treatment from a public healthcare insurance perspective. Future studies should include long-term observations, and analysis from a societal perspective.

Association Between Diet and Mental Health Outcomes in a Sample of 13,887 Adolescents in Canada.

The high prevalence of mental disorders among adolescents calls for community-based and population-level prevention strategies. Diet is an important intervention target for primary prevention of mental disorders among adolescents. We used data from a large longitudinal study of Canadian adolescents (aged 14-18 y) to examine prospective associations between diet and mental health outcomes. We estimated the effect of diet (ie, consumption of vegetables and fruit and sugar-sweetened beverages [SSBs]) at baseline on depressive symptoms, anxiety symptoms, and psychological well-being (measured by the Center for Epidemiologic Studies Depression Scale-Revised, Generalized Anxiety Disorder 7 scale, and Flourishing Scale, respectively) and at 1-year follow-up in a sample of 13,887 Canadian secondary school students who participated in the 2017-2018 and 2018-2019 cycles of the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary (COMPASS) behavior study. We applied linear mixed-effects methods informed by a directed acyclic graph. Sensitivity analyses assessed the robustness of the effect estimates to unmeasured confounding variables. Baseline SSB consumption was associated with greater severity of depressive (β = 0.04; 95% CI, 0.01-0.06) and anxiety (β = 0.02; 95% CI, 0-0.05) symptoms, particularly among male students, and poorer psychological well-being (β = -0.03; 95% CI, -0.05 to -0.01) at follow-up. Baseline vegetables and fruit consumption was positively associated with psychological well-being (β = 0.06; 95% CI, 0.03-0.10) but not other mental health outcomes at follow-up. Our results support the notion that diet should be part of comprehensive mental health prevention and promotion interventions to reduce the prevalence of mental health disorders among adolescents.