Global Mental Health Research Articles

COVID-19 and global mental health: The mutual impact of clinical and socio-cultural realities

COVID-19 and global mental health: The mutual impact of clinical and socio-cultural realities

Effects of a social network enhancement intervention for older adults: a feasibility study

BackgroundSocial networks play a critical role in the mental health of older adults. This pilot study investigates the feasibility of a newly developed intervention to enhance older adults’ social networks. This intervention was designed on the Theory of Mind’s foundation and aimed to enhance older adults’ social interaction motivation through theoretical explanations. Furthermore, the courses fostered more social opportunities for the participants through group-based sessions.MethodsThe feasibility of this intervention was tested using a double-blind, two-arm, non-randomized grouping approach. Older individuals residing in two separate residential buildings (n = 31, mean age = 66.81, 48% women) were divided into an intervention group (n = 15) and a control group (n = 16). They attended daily group sessions at a designated location and completed homework assignments. The primary outcomes of this pilot study were the feasibility of the intervention, and secondary outcomes included Theory of Mind levels and social network indicators. Additional outcomes encompassed levels of global mental health and depression.ResultsAll participants completed the pilot intervention and completed assessments. The primary outcomes indicated that the intervention had excellent feasibility, including compliance (attendance and homework completion rates met the standards) and satisfaction (average ratings for all items ranged from 4.47 to 5.00 on a 5-point scale). Interview results revealed that participants in the intervention group found the intervention beneficial for their daily lives and expressed a desire to participate in a formal intervention. Regarding secondary and additional outcomes, compared to the control group, the intervention group exhibited a significant improvement in emotional recognition performance of Theory of Mind. There was a significant increase in the whole network density in the intervention group. There were no significant differences in other social network indicators, global mental health, and depression levels in the intervention group compared to the control group.ConclusionsThe social network enhancement intervention for older adults is feasible. This pilot study has identified several improvements in the courses and tests. It is necessary to carry out a formal course to examine the effectiveness of the intervention on social networks in older adults.Trial registrationRegistration number: ChiCTR2100053779; Reg Date: 29/11/2021.

Community-Based Mental Health Improvement Initiatives: A Narrative Review and Indiana Case Study.

There is a global mental health crisis: mental illness is underrecognized, underdiagnosed, and undertreated with adverse effects on mental, physical, and social health. In the United States, there is an insufficient number of traditional psychiatric and psychological resources to provide the mental health care needed to solve this crisis. Community-based interventions could be an important adjunct to traditional mental health care. An evaluation of peer-reviewed articles was performed describing community-based interventions and identified 3 approaches with some evidence of effectiveness: (1) interventions that enhance community mental health literacy to improve recognition of early signs of mental illness for early engagement and provide community, family, and peer support; (2) community clinics providing social, medical, and mental health care and support to transition-age youth (15-25 years); and (3) social networking activities to enhance interactions among elders suffering from social isolation and loneliness. Multisector, multidisciplinary, and multicomponent interventions involving health care providers and community-based organizations had the best evidence of effectiveness and should target transition-age youth and elders.

Beneficial Impact of Vaccination Against SARS-CoV-2 on the Mental Health of IPF Patients

Background: Depression and anxiety represent significant comorbidities in idiopathic pulmonary fibrosis (IPF) patients, affecting their quality of life. The COVID-19 pandemic has had an uneven impact on global mental health. The Hospital Anxiety and Depression Scale (HADS) constitutes a validated tool to identify anxiety disorders and depression. The aim of this multicentre study was to evaluate the effect of COVID-19 vaccination on depression and anxiety in IPF patients. Methods: Consecutive IPF patients (median 73.5 years) who are regularly followed-up with were included in the study. Demographics, functional, and clinical were recorded. The HADS score was calculated before and one month after vaccination against COVID-19 in all participants. A Wilcoxon signed ranks test was conducted. Results: A total of 180 IPF patients (median 73.5 years) were included in the study. Among them, 145 patients (81%) received antifibrotic treatment. A significant reduction in HADS, both in anxiety and depression scales, was observed one month after vaccination against SARS-COV-2), independent of age, smoking, lung function impairment, and prior history of depression (p < 0.01). Conclusions: A higher Hospital Anxiety and Depression Scale score was detected before vaccination against COVID-19. It seems that vaccination also offered a beneficial effect on depression and anxiety in IPF patients, independent of age, smoking, lung function impairment, and prior history of depression.

From Polarities and Perspectives of Social Media: Instagram, TikTok, and Mental Well-Being in the Post-Pandemic Society

The COVID-19 pandemic has significantly impacted global mental health, with social media platforms like Instagram and TikTok playing a crucial role in shaping individuals' experiences and well-being. This mixed-methods study investigates the influence of these platforms on mental health outcomes in the post-pandemic era, combining quantitative surveys ( N = 200) with qualitative interviews ( N = 15) across different age groups. The researchers explored relationships between social media use and mental health indicators, examined age-related differences in experiences, and uncovered themes related to social comparison, body image concerns, and the dual role of social media in providing both support and stress. Findings contribute to the growing body of research on social media's impact on mental health, highlighting the complex nature of social media use and its varied effects on different age groups. This study offers insights for mental health professionals, social media platforms, and policymakers in developing targeted interventions and guidelines for promoting healthy social media use and supporting digital well-being in the post-pandemic context.

An interview with Professor Benjamin Becker: understanding our brain and mental disorders requires collaboration across all disciplines

Abstract From July 20th to 22nd, 2024, the ISMRM Endorsed Workshop on MR for Psychiatry was held in Chengdu City, China. This prestigious event attracted numerous academic elites worldwide, and Professor Benjamin Becker from the University of Hong Kong was invited. On the morning of July 20, during the “Advances in MR Technology” session, Professor Becker delivered an engaging lecture entitled “Novel approaches to precision MRI-imaging of human emotion”. His presentation was met with great enthusiasm and sparked lively discussions among the participants. Following the conference, the Psychoradiology journal interviewed Professor Benjamin Becker. In the interview, Benjamin emphasized the significant role of interdisciplinary collaboration, spanning various fields including psychology, neuroscience, clinical medicine, biomedical engineering, and computer science. Professor Becker firmly believed that such collaboration was crucial for a deeper understanding of the brain and psychiatric disorders. Additionally, he highly valued the importance of international cooperation, especially in addressing global mental health issues and challenges related to psychiatric disorders.

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.

Mental Health Status Of Nursing Professionals Working In The Surgical Center

Background: In Brazil, nursing professionals, including Nurses, Nursing Technicians, and Nursing Assistants, represent the majority of healthcare workers. As of April 2024, there are over 2 million nursing professionals registered in the country. These workers face increasing stress levels, with mental disorders related to work activities now accounting for 30% of global mental health issues. Nursing professionals in surgical centers provide critical psychological support to patients, offering comfort, stress relief, and care throughout the surgical process. This proposal aims to conduct a literature review to assess the mental health of nurses working in surgical blocks. Materials and Methods: This research is a Systematic Literature Review focused on the mental health of nursing professionals in the surgical block, analyzing studies from the past five years. Searches were conducted in databases like LILACS, MEDLINE, and Scopus, using specific inclusion and exclusion criteria. Articles were selected based on relevance, and data from these studies were extracted and critically evaluated. Results: This study reviewed seven articles on mental health issues among nurses in surgical centers, identifying stressors like work overload, lack of resources, and emotional strain. Key factors include poor work environment, long shifts, and insufficient support. Findings emphasize the need for better staffing, improved management, and emotional support to reduce burnout. The research advocates for structural interventions to improve nurses' well-being and patient safety. Conclusion: Stress and mental illness among nurses in surgical centers are influenced by organizational factors and workload. The review highlights the urgent need for interventions to improve their mental health and hospital efficiency

The Preoperative Patient-Reported Outcomes Measurement Information System (PROMIS)-10 Global Mental Health T-Score: An Independent Predictor of Immediate Post-Surgical Outcomes Following Elective Total Knee Arthroplasty

The Preoperative Patient-Reported Outcomes Measurement Information System (PROMIS)-10 Global Mental Health T-Score: An Independent Predictor of Immediate Post-Surgical Outcomes Following Elective Total Knee Arthroplasty

“When you have stress because you don’t have food”: Climate, food security, and mental health during pregnancy among Bakiga and Indigenous Batwa women in rural Uganda

Climate change exerts wide-ranging and significant effects on global mental health via multifactorial pathways, including food insecurity. Indigenous Peoples and pregnant women inequitably experience the harms associated with climate change and food insecurity. This study explores food security and maternal mental health during pregnancy among rural Ugandan Bakiga and Indigenous Batwa women in the context of climate change. Using a community-based research approach, we conducted a series of focus group discussions about climate, food security, and health during pregnancy in four Indigenous Batwa communities and four Bakiga communities in rural Kanungu District, Uganda, as well as longitudinal follow up interviews later in the year. Data were evaluated using a qualitative thematic analysis. Women consistently identified mental health as an important factor affecting maternal-fetal wellbeing during pregnancy. Many women identified that weather and climate extremes, such as prolonged droughts and unpredictable weather events, have made it more difficult for them to obtain sufficient food for themselves and their families during pregnancy, resulting in significant mental distress. More extreme weather conditions have made physical labour difficult or impossible during pregnancy, and resultant hunger further decreased ability to obtain food—a vicious cycle. Women described how anxiety was compounded by worry about future famine, as they anticipated further decreases in crop yields and rising food prices in a changing climate. Indigenous Batwa women experienced additional distress around their lack of access to Indigenous lands and its nutritious food sources. Overall, mothers in rural Uganda described food insecurity and climate extremes as major sources of stress during pregnancy, and they anticipate challenges will worsen. Interventions to enhance adaptive capacity to climate change are needed and should have a focus on the intricate connections with food insecurity and mental health as drivers of overall maternal health.

Research on cyberbullying and suicide: a bibliometric analysis

AbstractSuicide is a global mental health problem. In recent years, suicidal ideation, suicide attempts and suicides have increased in children and adolescents. In this population, cyberbullying is a public health problem that has grown along the increase in use of devices with internet access. Cybervictimization is related to negative health effects, even including suicidal ideation or suicide in cyberbullied individuals. This study is the first bibliometric analysis on scientific literature related to cyberbullying and suicide based on the traditional laws of bibliometrics. The aim was to generate a global overview of the research related to this object of study. We analysed 242 documents published in journals indexed in the Web of Science, examining the trend followed by annual publications, identifying the prolific (most productive) and prominent (prolific co‐authors with one or more papers between most cited papers) co‐authors, leading countries and journals, the most cited documents and the most used author keywords. Annual publications followed an exponential growth trend (R2 = 89.2%), meaning that there is a great interest in the scientific community for this study object. International Journal of Environmental Research and Public Health and Psychiatry Research were the journals with most document published. Baiden, P. (prolific), Kowalski, R. (most cited), Hinjuja, S. and Patchin, J. (prominents) were the most highlighted co‐authors, reference authors on the subject. Most scientific output originated in the USA. Five thematic lines were identified among the author keywords. The results of this research show the growing interest of the scientific community in this topic, along with useful information for researchers and publishers, identifying relevant co‐authors, journals interested in the topic and emerging lines of research, highlighting self‐harm, cyber‐victimisation, suicide risks and suicidal behaviours as the most recent thematic lines.

How to prevent suicidal behavior and non-suicidal self-injury? An analysis of adolescent typologies

Non-suicidal self-injury (NSSI) and suicidal behavior in adolescence are global mental health concerns. These behaviors are often interconnected, but can also manifest independently. This study aimed to assess the predictive abilities of neuroticism, emotional competencies, and the school social climate on four typologies based on the presence of NSSI and levels of suicidal behavior. The study included 713 participants aged 11–16 years who completed questionnaires assessing suicidal behavior, NSSI, neuroticism, emotional competencies, and the school social climate. The data were analyzed using logistic regression techniques. The findings revealed that adolescents with high levels of neuroticism and emotion perception, low levels of emotion expression and regulation and an inadequate school social climate were more likely to belong to typologies characterized by NSSI and/or high suicidal behavior. This study underscores the importance of enhancing the school social climate as a crucial step toward reducing the likelihood of NSSI and suicidal behavior.

Integrated models for concurrent disorders from a Public Mental Health lens: a Systematic Review

Abstract Concurrent disorders (COD), historically defined by the World Health Organization as the simultaneous presence of a psychoactive substance use disorder and another psychiatric disorder within the same individual, pose a significant challenge to public mental health. In today’s global landscape of mental health services, the prevalence of COD is on the rise, underscoring the need for an integrated approach to management. This review aims to provide an overview of existing global models and the evaluation approaches. This systematic review examined research evidence in PubMed, Scopus and Web of Science up to 2023 regarding integrated management systems for COD. Following PRISMA guidelines, we included articles describing specific models and evaluating the effectiveness of integrated versus non-integrated approaches. Quality assessment was conducted using the appropriate scales. Out of 7700 screened articles, 18 were included, all of fair or good quality. A diverse array of patient care models, programs, and interventions addressing comorbidities between mental health and substance use disorders emerged. The majority of studies focused on clinical outcomes, particularly alcohol and drug dependence, with global mental health consequences also under examination. Psychodiagnostics and social outcomes were also considered in a significant portion of the research, shedding light on health services utilization patterns. The integrated model for concurrent disorders in psychiatry stands as an effective approach, yet its implementation encounters challenges. This study showcases successful integration examples, providing valuable insights for policymakers and healthcare professionals to enhance existing models or develop new ones, particularly within European healthcare reforms like Italy’s restructuring of primary care, where they could serve as a criterion for the setting and organization of community houses. Key messages • COD, involving both substance use and psychiatric disorders, present a significant challenge to public mental health. Rising prevalence underscores the need for integrated management approaches. • Insights from successful integration examples offer valuable guidance for healthcare professionals and policymakers, particularly within healthcare reforms like Italy’s restructuring of primary care.

Smartphone addiction among medical students in the University of Monastir, Tunisia

Abstract Background Smartphone addiction is a global mental health issue with diverse psychological and socioeconomic concerns. The aim of this study was to determine the prevalence of smartphone addiction and its associated factors among medical students in the university of Monastir, Tunisia. Methods We conducted a cross-sectional survey among medical students of the faculty of medicine of Monastir in October 2020. The data were collected through a self-administered anonymous questionnaire that included the SAS-SV scale to assess smartphone addiction levels. A multivariate logistic regression model was employed to identify associated factors. The threshold of statistical significance was set at p < 0.05. Results A total of 626 medical students participated in this study, with an average age of 21.76 ± 3.12 years and a sex ratio of 0.41. The prevalence of smartphone addiction was 30.2% (95% CI: 26.0% - 33.79%). Associated factors with smartphone addiction included academic repetition(OR = 4.30; 95% CI [1.38 - 13.42]), fast food consumption scores (OR = 1.55; 95% CI [1.21 - 2.00]),addiction to the Facebook social network (OR = 6.36; 95% CI [1.92 - 21.07]), cohabitation with colleagues (OR = 2.13; 95% CI [1.03- 4.43]), cohabitation with family members(OR = 2.10; 95% CI [1.01 - 4.36]) and stress level (OR = 1.13; 95% CI [1.07 - 1.18]). Conclusions This study identified associations between smartphone overuse and other behavioral and mental health indicators. Based on these findings, several interventions should be undertaken to address this growing concern. Key messages • The prevalence of smartphone addiction among medical students in the University of Monastir was 30.2% (95% CI: 26.0% – 33.79%). • The main associated factors with smartphone addiction were academic repetition, fast food consumption, addiction to Facebook, cohabitation with colleagues and with family members and stress level.

“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health

The global mental health crisis underscores the need for accessible, effective interventions. Chatbots based on generative artificial intelligence (AI), like ChatGPT, are emerging as novel solutions, but research on real-life usage is limited. We interviewed nineteen individuals about their experiences using generative AI chatbots for mental health. Participants reported high engagement and positive impacts, including better relationships and healing from trauma and loss. We developed four themes: (1) a sense of ‘emotional sanctuary’, (2) ‘insightful guidance’, particularly about relationships, (3) the ‘joy of connection’, and (4) comparisons between the ‘AI therapist’ and human therapy. Some themes echoed prior research on rule-based chatbots, while others seemed novel to generative AI. Participants emphasised the need for better safety guardrails, human-like memory and the ability to lead the therapeutic process. Generative AI chatbots may offer mental health support that feels meaningful to users, but further research is needed on safety and effectiveness.

Towards democratised psychiatry: building metacommunities for inclusive and equitable global mental health

Through their study, George Ikkos & Nick Bouras reveal that the responsibilities of the psychiatric community are increasingly complex, especially amid the onslaught of globalisation and the confines of neoliberalism. ‘Metacommunity’ in this context refers not only to the history of psychiatrists but their role in strengthening and influencing mental health policies. A number of challenges continue to emerge in the public sphere, highlighting the need for psychiatry to adapt to society's evolving demands for inclusivity, equity and ethical governance. These challenges emphasise the importance of shaping the future of psychiatry that is responsive to the complexities of mental health care and aligned with democratic principles that prioritise transparency and social accountability. We have added several aspects that could complement psychiatrists' future theory and practice, including a more collaborative and evidence-based approach to dealing with increasingly complex mental health issues.

'Impaired in life': Analyzing people's accounts of depression in Ethiopia - Implications for a cultural-eco social approach to global mental health.

Depression is a global crisis and a major concern in mental health interventions, particularly in low- and middle-income countries (LMICs), where it significantly impacts disability, quality of life, and economic stability. These chronic stressors have been used to argue for scaling up the detection and treatment of depression as a public health and development priority. This study aimed to explore illness narratives of depression among patients' and to gain insights into multifaceted suffering, its impact on persons' lives, and help seeking. This study is part the broader study which examined global mental health, biopolitics, and depression in Ethiopia, conducted in hospice setting to explore the conception of depression in Bahirdar city, Northern Ethiopia, among patients and health care providers. In this study, we focus on patients' accounts of depression. We employed an ethnography method using in-depth interviews, fieldnotes, and observation to collect the data. A thematic analysis was used to analyze the data. Drawing from cross-cultural and critical psychiatry perspectives, we situate depression within its cultural-eco social framework. The study revealed that patients' experiences and conception of depression are deeply intertwined with Ethiopia's sociocultural, economic, and spiritual context. Depression was often described as a state of being 'impaired in life', reflecting the complex interplay of individual struggles and societal pressures. Integrating quotes from patients, we demonstrated in this analysis the ways in which biographically specific challenges, societal pressures, and mental well-being are understood by study participants in accordance with Ethiopian cultural and religious norms. The study suggests moving beyond narrow interpretative frameworks in GMH praxis to understand and address the complex dimensions of depression in Ethiopia and similar contexts. The study advocates for a cultural-ecosocial approach to depression, emphasizing the need for mental health interventions that consider the broader social and cultural factors contributing to mental distress.

Achieving universal health coverage inSub-Saharan Africa through the reformation of mental health financing

Insufficient financing is limiting mental health services for universal health coverage (UHC) in sub-Saharan Africa (SSA). Without ambitious steps to enhance mental health services, UHC will fall far below its historical agenda; however, adequate mental health financing could strengthen governments’ capacity to provide additional budgetary resources. This paper aims to identify potential strategies for more equitable and sustainable mental health financing in SSA. Using Uganda as a key example, we provide a contextual analysis and highlight current gaps. We draw parallels with successful countries and discuss recommendations for engagement from the global mental health community. This perspective focuses on health systems, mental disease burden, and macro-fiscal situation. Drivers of fiscal space for health indicate prospects to boost mental health budgets for socioeconomic development. Governments should conduct consistent mental health investment cases and expedite fiscal space for aggressive taxation to health reforms.

Systems modelling and simulation to guide targeted investments to reduce youth suicide and mental health problems in a low–middle-income country

BackgroundDespite suicide’s public health significance and global mental health awareness, current suicide prevention efforts show limited impact, posing a challenge for low- and middle-income countries. This study aimed to develop a dynamic simulation model that could be used to examine the potential effectiveness of alternative interventions for reducing youth mental health problems and suicidal behavior in Bogotá, Colombia.MethodsA system dynamics model was designed using a participatory approach involving three workshops conducted in 2021 and 2022. These workshops engaged 78 stakeholders from various health and social sectors to map key mental health outcomes and influential factors affecting them. A model was subsequently developed, tested, and presented to the participants for interactive feedback, guided by a moderator. Simulation analyses were conducted to compare projected mental health outcomes for a range of intervention scenarios with projections for a reference scenario corresponding to business-as-usual.ResultsA total of 6670 suicide attempts and 347 suicides are projected among 7 − 17-year-olds from January 1, 2023, to early 2031 under the business-as-usual scenario. Mental health issues among 12 − 17-year-olds are projected to increase from 18.9% (2023) to 27.8% (2031), and substance use issues from 2.29 to 2.49% over the same period. School-based suicide prevention and gatekeeper training are the most effective strategies, reducing total numbers of suicide attempts and suicides by more than 20% (i.e., compared to business-as-usual). However, discontinuous funding significantly hinders these effective suicide prevention efforts.ConclusionsSystems modelling is an important tool for understanding where the best strategic financial and political investments lie for improving youth mental health in resource-constrained settings.

Global Climate Change, Mental Health, and Socio-Economic Stressors: Toward Sustainable Interventions across Regions

Global climate change’s pervasive impacts extend beyond the environment, significantly affecting mental health across diverse regions. This study offers a comprehensive multi-regional analysis spanning Asia, Africa, Oceania, Europe, and the Americas, addressing three critical gaps in existing research: (i) the necessity of a global scope given climate change’s widespread impact, (ii) the under-researched mental health dimension compared to general health effects, and (iii) the integration of climate and mental health data. Using data from 1970 to 2020, we found a strong correlation between climate change and rising mental disorders globally. Regional patterns emerged, with Asia, Africa, and Oceania showing broader associations with various mental health issues, while Europe and the Americas saw increases in anxiety and depression. This study contributes to a more comprehensive understanding of the interconnectedness between climate change, mental health, and sustainability. By addressing the mental health impacts of climate change, we can identify sustainable solutions that promote both environmental well-being and human well-being. Our findings highlight the urgent need for global action to mitigate climate change’s mental health effects and provide insights for tailored interventions and public health strategies. Additionally, socio-economic factors like unemployment, urbanisation, GDP growth, and globalisation are incorporated to explore the intricate interplay between climate change, mental health, and societal contexts, offering a clearer understanding of the mechanisms at play.