Burden Of Mental Disorders Research Articles

Technological Innovations in Enhancing Digital Mental Health Engagement for Low-Income Groups

Malaysia, classified as a low-income group, faces a significant burden of mental health problems. Digital Mental Health Interventions (DMHI) offer innovative solutions to address mental disorders (MD) through the application of scientific principles and engineering technologies. This study investigates the digital mental health (DMH) tools used to prevent MD and identifies the factors influencing their adoption among low-income groups (LIG). This study reviews four key articles that highlight three main DMH tools: Mobile Health (mHealth), telehealth, social media platforms, and chatbots. It identifies key factors driving engagement with DMH tools among LIG, including accessibility, communication, affordability, cultural sensitivity, and government policies. Advances in technology are enhancing the accessibility and effectiveness of DMH tools, making them increasingly viable for LIG. By leveraging applied science and engineering technologies, these tools can reduce the cost of mental health care, improve service utilization, and alleviate the burden of mental disorders.

Evaluating the effects of mental health e-learning on the knowledge, attitudes and practices of allied and healthcare professionals in Senegal

BackgroundDespite the widespread prevalence and substantial burden of mental disorders, they remain significantly underdiagnosed and undertreated. In low- and middle-income countries like Senegal, integrating mental health services into primary care represents the most feasible strategy to bridge the treatment gap. This study aimed to assess the effects of a mental health e-learning program on the knowledge, attitudes, and practices of allied and healthcare professionals in Senegal. MethodsAn e-learning platform including 12 interactive modules was used to train 322 allied and healthcare professionals. We evaluated changes in knowledge, attitudes, and practices, as well as in satisfaction with knowledge and in self-assessed ability to diagnose and manage patients, by comparing data collected before and after the e-learning modules. Qualitative feedback on the satisfaction with the various components of the program was also collected via a post-training survey. OutcomesKnowledge, attitudes and practices scores increased significantly for all modules. Additionally, scores related to satisfaction with knowledge and ability to diagnose and manage patients showed significant improvements (+77.0% and +75.0%, respectively), surpassing the gains observed in knowledge, attitudes, and practices scores (+19.2%, +11.1% and +15.0%, respectively). Mean scores regarding participants’ satisfaction with the various elements of the program ranged from 8.1 to 9.1, out of a maximum of 10. ConclusionAlthough only a limited number of participants completed all 12 modules, the mental health e-learning program showed positive results on the knowledge, attitudes, and practices of participants. It also increased their confidence and was perceived as a very positive experience by learners.

Analysis of Indirect Costs of Absence Associated with Mental Disorders on the Basis of Social Security Data (2012-2023).

Mental and behavioral disorders significantly impair psychophysical functioning, leading to challenges in daily activities. The increasing recognition of the importance of mental health in global development goals has resulted in its inclusion in the United Nations' Sustainable Development Goals. The burden of mental disorders has grown worldwide due to demographic changes, with substantial economic and social impacts. This study aimed to examine the indirect costs of mental disorders in Poland by analyzing the expenditures by the Social Insurance Institution (ZUS) on work incapacity benefits and disability pensions from 2012 to 2023. The goal was to identify trends, dependencies, and the economic impact of policy changes. Data were collected from ZUS reports on annual expenditures for work incapacity benefits and disability pensions. Advanced statistical methods, including linear regression and Pearson correlation, were employed to analyze trends and relationships. Student's t-tests assessed the statistical significance of the observed trends. The expenditures on benefits for work incapacity due to mental disorders increased significantly over the past decade, particularly from 2020 to 2023, partly due to the COVID-19 pandemic. Short-term absenteeism due to mental disorders accounted for 10.5% of the total sick leave days. A strong positive correlation was found between years and benefit expenditures. Conversely, the disability pension expenditures exhibited a downward trend, potentially reflecting improvements in public health or policy changes. The significant increase in expenditures on benefits related to mental disorders may reflect greater awareness, improved diagnostics, and the impact of the COVID-19 pandemic. In contrast, the decline in disability pension expenditures could suggest improved mental health or effective policy measures. However, it is important to emphasize that the presented data are not the only factor influencing this situation. Multiple variables, including societal, economic, and healthcare system changes, contribute to these trends. Therefore, further research is necessary to fully understand the underlying causes and to guide effective policy development. Regular monitoring and continued investment in mental health are essential to managing indirect costs such as absenteeism and presenteeism efficiently.

Global, regional, and national burden of bullying related mental disorders of adolescent from 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

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.

Short-term exposure to gaseous ambient pollution and hospital admissions for mental health among children and adolescents: A time-stratified case-crossover study

Little evidence has demonstrated the linkage of gaseous air pollution and hospitalization rates for mental diseases among children and adolescents in China. Based on a time-stratified case-crossover design among children and adolescents in nine cities, Sichuan, a conditional logistic regression and a concentration-response (C–R) curve model were applied to investigate mental disorders in relation to gaseous air pollutants exposure at lag 0-lag 7, and lag 01-lag 07. Hospitalization costs were calculated through the attributable risk method. With daily data from official environmental monitoring centers, individual daily mean ambient pollutants estimates were evaluated via Inverse Distance Weighted method. Daily hospitalized records for mental illness were collected from medical organization or/and institutions from January 2016 to December 2019. There were 11479 inpatients suffering depression, anxiety, and/or other mental disorders. In single- and cumulative-day-lag analyses, with each 10 μg/m3 increment of NO2, SO2, and O3, the greatest odds ratio (OR) for all-cause mental disorders were 1.114 (95% confidence interval [CI]: 1.067–1.164) (lag 0), 1.219 (95% CI: 1.040–1.430) (lag 4), and 1.039 (95% CI: 1.009–1.069) (lag 7), separately. Stronger associations were found in inpatients hospitalized in warm days in SO2 analysis. C–R curve showed that all-cause mental disorders hospitalizations were positively related to SO2 and O3 exposure at relative high levels. During study period, the total economic cost of hospitalization for all-cause mental disorders caused by NO2 pollution was 94.71 million CNY. These findings indicated that gaseous air pollutants exposure may increase the risk and economic burdens of mental disorders among children and adolescents.

Mental health burden following extreme weather events in South-east Asia: A systematic review and meta-analysis.

Exposure to extreme weatherly events potentially develops mental disorders among affected individuals. To synthesize the burden of mental disorders following impact of extreme weather events in South-east Asian (SEA) countries. Proposal was registered in PROSPERO register [CRD42023469788] and reported as per PRISMA-2020 guidelines. Studies reporting prevalence of mental health disorders following extreme weather events from SEA countries during 1990 and 2023 were searched on Embase, PubMed, and Scopus databases. Study quality was assessed using Appraisal tool for Cross-Sectional Studies. Overall pooled prevalence was computed using DerSimonian-Laird method for random-effects model and reported as 95% confidence intervals. On screening 12,046 records, we included 155 studies (2,04,474 participants) for analysis. Overall burden of mental disorders was 35.31% (95%CI: 30.42%-40.21%). In subgroup analysis, studies on cyclones, India, local residents, children and adolescents, rural settings, and community settings reported higher burden of mental disorders. Depression (28.58%; 95%CI: 24.05%-33.1%) and PTSD (29.36%; 95%CI: 26.26%-32.46%) had similar prevalence. Visiting tourists to SEA region experienced fear, fear of recurrence of tsunami, nightmares, and sense of helplessness. Mental health outcomes were relatively higher in studies conducted within 1 year of events. Heterogeneity and possibility of publication bias exists among the reported studies. With the significant rise in episodes of extreme weather events in SEA region over the last three decades, mental disorders are documented in different proportions. We suggest prioritizing well-informed policies to formulate inclusive and resilient strategies on effectively identifying and treating mental health concerns among victims of extreme weather events.

Prevalence and correlates of common mental disorders among participants of the Uganda Genome Resource: Opportunities for psychiatric genetics research.

Genetics research has potential to alleviate the burden of mental disorders in low- and middle-income-countries through identification of new mechanistic pathways which can lead to efficacious drugs or new drug targets. However, there is currently limited genetics data from Africa. The Uganda Genome Resource provides opportunity for psychiatric genetics research among underrepresented people from Africa. We aimed at determining the prevalence and correlates of major depressive disorder (MDD), suicidality, post-traumatic stress disorder (PTSD), alcohol abuse, generalised anxiety disorder (GAD) and probable attention-deficit hyperactivity disorder (ADHD) among participants of the Uganda Genome Resource. Standardised tools assessed for each mental disorder. Prevalence of each disorder was calculated with 95% confidence intervals. Multivariate logistic regression models evaluated the association between each mental disorder and associated demographic and clinical factors. Among 985 participants, prevalence of the disorders were: current MDD 19.3%, life-time MDD 23.3%, suicidality 10.6%, PTSD 3.1%, alcohol abuse 5.7%, GAD 12.9% and probable ADHD 9.2%. This is the first study to determine the prevalence of probable ADHD among adult Ugandans from a general population. We found significant association between sex and alcohol abuse (adjusted odds ratio [AOR] = 0.26 [0.14,0.45], p < 0.001) and GAD (AOR = 1.78 [1.09,2.49], p = 0.019) respectively. We also found significant association between body mass index and suicidality (AOR = 0.85 [0.73,0.99], p = 0.041), alcohol abuse (AOR = 0.86 [0.78,0.94], p = 0.003) and GAD (AOR = 0.93 [0.87,0.98], p = 0.008) respectively. We also found a significant association between high blood pressure and life-time MDD (AOR = 2.87 [1.08,7.66], p = 0.035) and probable ADHD (AOR = 1.99 [1.00,3.97], p = 0.050) respectively. We also found a statistically significant association between tobacco smoking and alcohol abuse (AOR = 3.2 [1.56,6.67], p = 0.002). We also found ever been married to be a risk factor for probable ADHD (AOR = 2.12 [0.88,5.14], p = 0.049). The Uganda Genome Resource presents opportunity for psychiatric genetics research among underrepresented people from Africa.

The correlation between cumulative burden of mental disorders and self-harm, shame, and insight in young female patients with schizophrenia.

This study delves into the correlation between the cumulative burden of mental disorders and self-harm, shame, and insight in young female patients with schizophrenia. A prospective randomized controlled study was used to recruit 62 female schizophrenia patients who met the recruitment conditions from January 2022 to December 2023. The participants were randomly divided into an experimental group (31 cases) and a control group (31 cases) using a computer-based random number distribution method. The experimental group underwent an 8-week Mindfulness-Based Cognitive Therapy (MBCT) intervention, while the control group received conventional treatment. Data was collected using the Modified EI-SHS scale, the Link's Stigma Scale (LSS), the Five-factor Mindfulness Scale (FFMQ), and the Self-awareness and Therapeutic Attitude Questionnaire (ITAQ) before and after the intervention. One-way ANOVA and repeated measure ANOVA were used to compare and analyze the two groups of data. The experimental group exhibited a significant reduction in EI-SHS and LSS scores (100.26 ± 11.48 vs. 88.35 ± 10.09, 112.81 ± 12.30 vs. 100.50 ± 13.52, p < 0.01), coupled with significant increase in FFMQ and ITAQ scores (113.77 ± 12.25 vs. 128.31 ± 14.09, 14.03 ± 4.18 vs. 17.30 ± 2.96, p < 0.01). A positive correlation was found between overall stigma scores and mood disorder scores (r = 0.379, P < 0.011). Correlation analysis revealed a negative correlation between mindfulness (self-awareness) and stigma (r = -0.128, P = 0.025). MBCT effectively reduced stigma in young women with schizophrenia and improved coping tendencies, cognitive status, and attitudes toward mental illness, ultimately reducing the cumulative burden of mental disorders and self-harm in these patients. Increased levels of mindfulness correspond to improved cognitive status and a more positive attitude toward treatment for mental illness. It is of great value to promote MBCT in female patients with schizophrenia.

Disease burden of mental disorders among children and adolescents considering both co-morbidities and suicide in Northeastern China

BackgroundFew studies have assessed the burden of mental disorders among children and adolescents considering the impact of co-morbidities and suicide on disability adjusted life years (DALYs).MethodsThis was a multicenter cross-sectional study. Our survey data in Liaoning Province (LN) were used to estimate the burden of six mental disorders, supplemented with data from other investigative studies conducted in China to assess four other disorders. DALYs were derived from the sum of years lived with a disability (YLDs) adjusted for co-morbidities, and the years of life lost (YLLs) adjusted for suicide. The changes in DALYs, YLDs, and YLLs were compared with and without adjustment for co-morbidities and suicide.ResultsThe DALYs rate of mental disorders among children and adolescents in LN decreased from 1579.6/105 to 1391.4/105, after adjusting for both co-morbidities and suicide (-11.9%). The DALYs rate for major depression, anxiety disorder, and conduct disorder (-80.8/105, -75.0/105 and -30.2/105, respectively) were the top three contributors to the DALYs reduction (-188.2/105). The YLDs decreased from 72724.8 to 62478.5 after co-morbidity adjustment (-17.8%), mainly due to the reduction by major depression (-35.3%) and attention deficit/hyperactivity disorder [ADHD] (-34.2%). The YLLs increased from 130 to 1697.8 after adjusting for suicides (+ 56.9% of all suicide YLLs), mainly due to the contribution of major depression (+ 32.4%) and anxiety disorder (+ 10.4%). Compared to GBD 2010, the estimated DALY rate for mental disorders in LN was to be about 80%, with the proportion of DALYs and DALY rates explained by major depressive disorder accounted for only approximately one-third (14.6% vs. 41.9% and 202.6 vs. 759.9, respectively). But the proportion and absolute level of DALY rates explained by anxiety disorders were approximately 2-fold higher (39.7% vs. 19.6% and 552.2 vs. 323.3, respectively).ConclusionsThe DALYs of mental disorders among Chinese children and adolescents were approximately 80% of the global level, with anxiety disorders imposing about 2 times the global level. Co-morbidity and suicide must be adjusted when calculating DALYs.

Prevalence and correlates of mental disorders among Chinese overseas students during the COVID-19: A multi-regional cross-sectional analysis.

The global impact of the COVID-19 pandemic extends beyond physical health, significantly affecting mental health. Chinese overseas students are particularly susceptible to the adverse psychological effects of the pandemic. Understanding the prevalence and correlates of mental disorders in this population is essential for developing targeted interventions and support systems. Employing a snowball sampling technique, this study recruited Chinese overseas students from diverse regions. The 50-item Self-evaluation Table was utilized to assess the presence of mental disorders. Descriptive statistics, including percentages, 95% confidence intervals, means, and standard deviations, characterized the survey population. The chi-square test identified disparities among categorical variables, while logistic regression explored risk factors for mental disorders among Chinese overseas students. Out of the total sample size of 10,864 Chinese overseas students, a staggering 7,090 (65.4%) met the diagnostic criteria for mental disorders. Furthermore, the degree of mental disorder varied significantly across different regions (p < 0.001), education levels (p < 0.05), the duration of anti-epidemic measures (p < 0.05), and age (p < 0.05), while no significant differences were observed in terms of gender (p > 0.05). Several risk factors contributing to the mental disorder burden among Chinese overseas students during the pandemic were identified, including the seriousness of the epidemic in their residential area, the apprehension of getting infected, anxieties regarding academic performance, the infection control policies implemented by the host government, preventive measures taken locally to counter the epidemic, and challenges encountered in returning to their home country. Given the significant challenges in mental health faced by Chinese overseas students during the COVID-19 crisis, addressing their specific needs and implementing tailored measures is imperative. Future public health emergencies should consider the potential mental disorders and disease risks faced by Chinese overseas students. By providing comprehensive support and targeted interventions, policymakers, educational institutions, and healthcare providers can help mitigate the adverse psychological effects and promote the well-being of this vulnerable population.

Burden of Mental Disorders and Suicide Attributable to Childhood Maltreatment

The proportion of mental disorders and burden causally attributable to childhood maltreatment is unknown. To determine the contribution of child maltreatment to mental health conditions in Australia, accounting for genetic and environmental confounding. This meta-analysis involved an epidemiological assessment accounting for genetic and environmental confounding between maltreatment and mental health and 3 cross-sectional national surveys: the Australian Child Maltreatment Study (ACMS) 2023, National Study of Mental Health and Well-being 2020-2022, and Australian Burden of Disease Study 2023. Causal estimates were derived on the association between childhood maltreatment and mental health conditions from a meta-analysis of quasi-experimental studies. This was combined with the prevalence of maltreatment from the ACMS to calculate the population attributable fraction (PAF). The PAF was applied to the number and burden of mental health conditions in Australia, sourced from 2 population-based, nationally representative surveys of Australians aged 16 to 85 years, to generate the number and associated burden of mental disorders attributable to child maltreatment. Physical abuse, sexual abuse, emotional abuse, or neglect prior to age 18 years. Proportion and number of cases, years of life lost, years lived with disability, and disability-adjusted life-years of mental health conditions (anxiety, depression, harmful alcohol and drug use, self-harm, and suicide attempt) attributable to childhood maltreatment. Meta-analytic estimates were generated from 34 studies and 54 646 participants and applied to prevalence estimates of childhood maltreatment generated from 8503 Australians. Childhood maltreatment accounted for a substantial proportion of mental health conditions, ranging from 21% (95% CI, 13%-28%) for depression to 41% (95% CI, 27%-54%) of suicide attempts. More than 1.8 million cases of depressive, anxiety, and substance use disorders could be prevented if childhood maltreatment was eradicated. Maltreatment accounted for 66 143 years of life lost (95% CI, 43 313-87 314), primarily through suicide, and 184 636 disability-adjusted life-years (95% CI, 109 321-252 887). This study provides the first estimates of the causal contribution of child maltreatment to mental health in Australia. Results highlight the urgency of preventing child maltreatment to reduce the population prevalence and burden of mental disorders.

Differential trends and patterns of sociodemographic disparities in burden of mental disorders, substance use disorder and self-harm across age groups: ecological study in 204 countries using the Global Burden of Disease Study 2019.

It is well-known that socioeconomic status is associated with mental illness at both the individual and population levels, but there is a less clear understanding of whether socioeconomic development is related to poor mental health at the country level. We aimed to investigate sociodemographic disparities in burden of mental disorders, substance use disorders and self-harm by age group. Estimates of age-specific disability-adjusted life years (DALY) rates for mental disorders, substance use disorders and self-harm from 1990 to 2019 for 204 countries were obtained. The sociodemographic index (SDI) was used to assess sociodemographic development. Associations between burden of mental health and sociodemographic development in 1990 and 2019 were investigated, and sociodemographic inequalities in burden of mental health from 1990 to 2019 by age were estimated using the concentration index. Differential trends in sociodemographic disparities in diseases across age groups were observed. For mental disorders, particularly depressive disorder and substance use disorders, DALY rates in high SDI countries were higher and increased more than those in countries with other SDI levels among individuals aged 10-24 and 25-49 years. By contrast, DALY rates for those over 50 years were lower in high SDI countries than in countries with other SDI levels between 1990 and 2019. A higher DALY rate among younger individuals accompanied a higher SDI at the country level. However, increased sociodemographic development was associated with decreased disease burden for adults aged ≥70 years. Strategies for improving mental health and strengthening mental health system should consider a broader sociocultural context.

How much do adverse childhood experiences contribute to adolescent anxiety and depression symptoms? Evidence from the longitudinal study of Australian children.

This study aims to: (i) examine the association between adverse childhood experiences (ACEs) and elevated anxiety and depressive symptoms in adolescents; and (ii) estimate the burden of anxiety and depressive symptoms attributable to ACEs.Data were analyzed from 3089 children followed between Waves 1 (age 4-5 years) and 7 (16-17 years) of the Longitudinal Study of Australian Children. Logistic regression was used to estimate the associations between ACEs and child-reported elevated anxiety and depressive symptoms at age 16-17. Anxiety and depressive symptoms were measured using the Children's Anxiety Scale and Short Mood and Feelings Questionnaire, respectively. The punaf command available in STATA 14 was used to calculate the population attributable fraction (PAF).Before the age of 18 years, 68.8% of the children had experienced two or more ACEs. In the analysis adjusted for confounding factors, including co-occurring ACEs, both history and current exposure to bullying victimisation and parental psychological distress were associated with a statistically significant increased likelihood of elevated anxiety and depressive symptoms at age 16-17. Overall, 47% of anxiety symptoms (95% CI for PAF: 35-56) and 21% of depressive symptoms (95% CI: 12-29) were attributable to a history of bullying victimisation. Similarly, 17% (95% CI: 11-25%) of anxiety and 15% (95% CI: 4-25%) of depressive symptoms at age 16-17 years were attributable to parental psychological distress experienced between the ages of 4-15 years.The findings demonstrate that intervention to reduce ACEs, especially parental psychological distress and bullying victimisation, may reduce the substantial burden of mental disorders in the population.

The burden of mental disorders in Asian countries, 1990–2019: an analysis for the global burden of disease study 2019

Mental disorders are the leading contributors to the globally nonfatal burden of disease. This study was aimed to estimate the burden of mental disorders in Asian countries. Based on GBD 2019, the prevalence and disability-adjusted life of years (DALYs) rates with 95% uncertainty intervals (UI) were estimated in Asian countries. Predictions for the future burden of 8 selected countries, ranks of the burden of mental disorders and correlations with Sociodemographic Index (SDI) were also estimated. During the past 3 decades, while the number of DALYs of mental disorders increased from 43.9 million (95% UI: 32.5–57.2) to 69.0 million (95% UI: 51.0–89.7), the age-standardized rates of DALYs of mental disorders remained largely consistent from 1452.2 (95% UI: 1080.16–1888.53) per 100,000 population in 1990 to 1434.82 (95% UI: 1065.02–1867.27) per 100,000 population in 2019, ranked as the eighth most significant disease burden in Asia in 2019. Depressive disorders (37.2%) were the leading contributors to the age-standardized DALY rates of mental disorders in Asia, followed by anxiety disorders (21.5%). The age-standardized DALY rates in females were higher than their male counterparts, both peaked at 30-34 years. The age-standardized DALY rates were predicted to remain stable, with the number of DALYs presented an upward trend in the future. There was no significant correlation between the burden of mental disorders and SDI. All mental disorders ranked higher in 2019, compared in 1990. To reduce this burden, urgent measures for prevention, treatment, and rehabilitation for mental disorders need to be taken by Asian governments.

Burden and Epidemiology of Mental Disorders in the Middle East and North Africa from 1990 to 2019: Findings from the Global Burden of Disease Study

Previous studies have mainly focused on individual mental disorders, and there is no study addressing the total burden of mental disorders in the Middle East and North Africa (MENA). To evaluate the burden of mental disorders in the MENA region from 1990 to 2019. A cross-sectional study. We utilized global burden of disease data to examine the burden of 12 mental disorders from 1990 to 2019 across age groups, genders, and the 21 MENA countries. We collected data on prevalence, incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years (DALY), including both crude and age-standardized rates per 100,000 people. The DALY rate of mental disorders in MENA countries increased by 13.88% from 1,747.92 per 100,000 people in 1990 to 1990.5 per 100,000 people in 2019. The highest percentage increases in the DALY rates of mental disorders were observed for bulimia nervosa (35.69%), other mental health disorders (34.58%), and schizophrenia (33.02%) from 1990 to 2019. However, the DALY rates for idiopathic developmental intellectual disability (-26.48%), conduct disorder (-23.91%), attentiondeficit/ hyperactivity disorder (-16.46%), and autism spectrum disorders (-4.12%) decreased in the MENA region from 1990 to 2019. In 2019, the highest DALY rates for idiopathic developmental intellectual disability, anxiety disorders, and major depressive disorder were observed in age groups ≤ 4 years, 5-19 years, and ≥ 20 years, respectively. The age-standardized DALY rate of mental disorders was the highest in Palestine (2,396.9 per 100,000), Iran (2,295.8 per 100,000), and Lebanon (2,126.0 per 100,000) compared with other MENA countries in 2019. There has been a slight increase in the burden of mental disorders in the MENA region between 1990 and 2019. National policies should prioritize evidence-based preventive measures and ensure accessible treatment options for mental health disorders in the population, especially in the MENA region.

Worldwide Prevalence and Disability From Mental Disorders Across Childhood and Adolescence

The period from childhood to early adulthood involves increased susceptibility to the onset of mental disorders, with implications for policy making that may be better appreciated by disaggregated analyses of narrow age groups. To estimate the global prevalence and years lived with disability (YLDs) associated with mental disorders and substance use disorders (SUDs) across 4 age groups using data from the 2019 Global Burden of Disease (GBD) study. Data from the 2019 GBD study were used for analysis of mental disorders and SUDs. Results were stratified by age group (age 5 to 9, 10 to 14, 15 to 19, and 20 to 24 years) and sex. Data for the 2019 GBD study were collected up to 2018, and data were analyzed for this article from April 2022 to September 2023. Age 5 to 9 years, 10 to 14 years, 15 to 19 years, and 20 to 24 years. Prevalence rates with 95% uncertainty intervals (95% UIs) and number of YLDs. Globally in 2019, 293 million of 2516 million individuals aged 5 to 24 years had at least 1 mental disorder, and 31 million had an SUD. The mean prevalence was 11.63% for mental disorders and 1.22% for SUDs. For the narrower age groups, the prevalence of mental disorders was 6.80% (95% UI, 5.58-8.03) for those aged 5 to 9 years, 12.40% (95% UI, 10.62-14.59) for those aged 10 to 14 years, 13.96% (95% UI, 12.36-15.78) for those aged 15 to 19 years, and 13.63% (95% UI, 11.90-15.53) for those aged 20 to 24 years. The prevalence of each individual disorder also varied by age groups; sex-specific patterns varied to some extent by age. Mental disorders accounted for 31.14 million of 153.59 million YLDs (20.27% of YLDs from all causes). SUDs accounted for 4.30 million YLDs (2.80% of YLDs from all causes). Over the entire life course, 24.85% of all YLDs attributable to mental disorders were recorded before age 25 years. An analytical framework that relies on stratified age groups should be adopted for examination of mental disorders and SUDs from childhood to early adulthood. Given the implications of the early onset and lifetime burden of mental disorders and SUDs, age-disaggregated data are essential for the understanding of vulnerability and effective prevention and intervention initiatives.

Global epidemiology of mental disorder in atrial fibrillation between 1998-2021: A systematic review and meta-analysis.

As the burden of mental disorders among patients with atrial fibrillation (AF) increases, researchers are beginning to pay close attention to the risk and prevalence of these comorbidities. Although studies have independently analyzed the risk of comorbidity with depression and anxiety in patients with AF, no study has systematically focused on the global epidemiology of these two mental disorders. To explore the prevalence of depression and anxiety in patients with AF. Five databases were searched from their date of establishment until January 2023. Observational studies reporting the comorbidity of AF with depression and anxiety, were included in this study. Basic information, such as the first author/ publication year, study year, study type, and prevalence of depression and anxiety, were extracted. STATA SE 15.1 was used to analyze the data. Subgroup, meta-regression, and sensitivity analyses were performed to estimate study heterogeneity. After a thorough search, 26 studies were identified and included in this meta-analysis. The prevalence rates of depression and anxiety in adults with AF were 24.3% and 14.5%, respectively. Among adult males with AF, the prevalence was 11.7% and 8.7%, respectively, whereas in females it was 19.8% and 10.1%, respectively. In older adults with AF, the prevalence rates of depression and anxiety were 40.3% and 33.6%, respectively. The highest regional prevalence of depression and anxiety was observed in European (30.2%) and North American (19.8%) patients with AF. In this study, we found that the prevalence of depression and anxiety among patients with AF varies with sex, region, and evaluation scales, suggesting the need for psychological interventions for patients with AF in clinical practice.

Rural–Urban Divide in Mental Health Care in India: Bridging the Gaps

There are significant gaps in the distribution and utilization of mental health services between rural and urban areas in India. The rural–urban divide is prominently seen in livelihood opportunities and lifestyle, which is a matter of concern. Rural populations, constituting a large proportion in India and globally, exhibit distinct environmental profiles and lifestyle factors influencing mental health. Rural populations have unique choices regarding occupation, different social structures, expressions of illness, health belief systems, and help-seeking behavior. The treatment gap in rural regions stems from various factors, including inadequate investment in mental health, stigma, discrimination, low literacy levels, and poor motivation of mental health professionals for working in rural areas. The changes in social dynamics and family values further strain rural mental health care. India faces a considerable challenge in bridging the treatment gaps and providing mental health services that are accessible and acceptable in rural areas. The true implementation of the new Mental Healthcare Act, 2017 requires consideration of the ground realities of rural settings. While innovations and digital interventions show promise in bridging the inequalities in treatment settings, these need to be highly tailor-made keeping in view the local needs. Furthermore, integrating public mental health into general public health programs can alleviate the burden of mental disorders. It is imperative to recognize the positives in rural areas and establish effective links between urban and rural services which is crucial for providing comprehensive mental health care in these dynamic populations.

Leave no one behind: Rethinking policy and practice at the national level to prevent mental disorders

The global burden of mental disorders is increasing, in line with the shift from communicable to chronic non-communicable diseases. Mental disorders affect the functioning of individuals, resulting not only in enormous emotional suffering and diminished quality of life, but also in stigma and discrimination. This burden extends to the community and society, with far-reaching economic and social consequences. Even under optimal conditions, treatment alone will never be sufficient to reduce the global burden of mental disorders, so a shift in focus from treatment to prevention of mental disorders should be promoted at the central level in the form of legislation, policy formulation and resource allocation. Universal and selective prevention programs should be prioritized nationally, as they aim to change the risk profile of the entire population and specifically target populations at risk for mental disorders, respectively. In this article, we review the key risk factors for mental disorders and the measures that can be taken at the national level to prevent them, taking into due consideration that prevention efforts can vary based on the audience they are addressing, level of intensity they are providing, and the life phase they target. By adopting a human rights perspective and placing the social determinants of health at the center of our narrative, we maintain that improving mental health cannot be achieved by strengthening health services alone. Coordination across government departments is needed to implement multi-level public health interventions across a wide range of settings, programs, and policies. Focusing on children's mental health and addressing poverty, gender inequality and social discrimination should be absolute priorities for national mental health policies and plans.

Effects of ambient air pollution on the hospitalization risk and economic burden of mental disorders in Qingdao, China.

The aim of this study was to examine the impacts of short-term exposure to air pollutants on hospitalizations for mental disorders (MDs) in Qingdao, a Chinese coastal city, and to assess the corresponding hospitalization risk and economic cost. Daily data on MD hospitalizations and environmental variables were collected from January 1, 2015, to December 31, 2019. An overdispersed generalized additive model was used to estimate the association between air pollution and MD hospitalizations. The cost of illness method was applied to calculate the corresponding economic burden. With each 10μg/m3 increase in the concentration of fine particulate matter (PM2.5) at lag05, inhalable particulate matter (PM10) at lag0, sulfur dioxide (SO2) at lag06 and ozone (O3) at lag0, the corresponding relative risks (RRs) and 95% confidence intervals (CIs) were 1.0182 (1.0035-1.0332), 1.0063 (1.0001-1.0126), 1.0997 (1.0200-1.1885) and 1.0099 (1.0005-1.0194), respectively. However, no significant effects of nitrogen dioxide (NO2) or carbon monoxide (CO) were found. Stratified analysis showed that males were susceptible to SO2 and O3, while females were susceptible to PM2.5. Older individuals (≥ 45years) were more vulnerable to air pollutants (PM2.5, PM10, SO2 and O3) than younger individuals (< 45years). Taking the Global Air Quality Guidelines 2021 as a reference, 8.71% (2,168 cases) of MD hospitalizations were attributable to air pollutant exposure, with a total economic burden of 154.36 million RMB. Short-term exposure to air pollution was associated with an increased risk of hospitalization for MDs. The economic advantages of further reducing air pollution are enormous.