Objective:The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods.Conditions such as anxiety,depression,stress,bipolar disorder(BD),a...Objective:The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods.Conditions such as anxiety,depression,stress,bipolar disorder(BD),and autism spectrum disorder(ASD)frequently arise from the complex interplay of demographic,biological,and socioeconomic factors,resulting in aggravated symptoms.This review investigates machine intelligence approaches for the early detection and prediction of mental health conditions.Methods:The preferred reporting items for systematic reviews and meta-analyses(PRISMA)framework was employed to conduct a systematic review and analysis covering the period 2018 to 2025.The potential impact of machine intelligence methods was assessed by considering various strategies,hybridization of algorithms,tools,techniques,and datasets,and their applicability.Results:Through a systematic review of studies concentrating on the prediction and evaluation of mental disorders using machine intelligence algorithms,advancements,limitations,and gaps in current methodologies were highlighted.The datasets and tools utilized in these investigations were examined,offering a detailed overview of the status of computational models in understanding and diagnosing mental health disorders.Recent research indicated considerable improvements in diagnostic accuracy and treatment effectiveness,particularly for depression and anxiety,which have shown the greatest methodological diversity and notable advancements in machine intelligence.Conclusions:Despite these improvements,challenges persist,including the need for more diverse datasets,ethical issues surrounding data privacy and algorithmic bias,and obstacles to integrating these technologies into clinical settings.This synthesis emphasizes the transformative potential of machine intelligence in enhancing mental healthcare.展开更多
BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an e...BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.展开更多
Recently,inflammatory cytokine profiles have been linked to suicide risk in adolescents with non-suicidal self-injury,highlighting a promising biological dimension of suicide risk assessment.Clinical translation of th...Recently,inflammatory cytokine profiles have been linked to suicide risk in adolescents with non-suicidal self-injury,highlighting a promising biological dimension of suicide risk assessment.Clinical translation of the cytokine profiles into practice will require frontline engagement of the workforce.Mental health nurses are frequently the most accessible professionals in schools,communities,and low-resource settings and are prime candidates to bridge this gap.By integrating psychosocial evaluation with emerging biomarker data,they can deliver systematic risk assessment,continuous monitoring,and timely intervention.This role would not replace psychiatric expertise;it would extend the reach of psychiatric services,embedding suicide prevention across the continuum of care.For health systems,nurse-led integration may enhance capacity,equity,and resilience in responding to adolescent suicide risk.This editorial demonstrates that empowering nurses to operationalize biomarker-informed strategies is needed for advancing effective and sustainable suicide prevention in this vulnerable population.展开更多
Background:Mental health concerns among doctoral students have become increasingly prominent,with consistently low levels of well-being making this issue a critical focus in higher education research.This study aims t...Background:Mental health concerns among doctoral students have become increasingly prominent,with consistently low levels of well-being making this issue a critical focus in higher education research.This study aims to synthesize existing evidence on the mental health and well-being of doctoral students and to identify key factors and intervention strategies reported in the literature.Methods:A systematic review was conducted to examine the determinants and interventions related to doctoral students’mental health and well-being.Relevant studies were comprehensively searched in Web of Science,PubMed,Scopus,and EBSCO,with the final search conducted on September 19,2025.Records were screened according to predefined criteria:empirical studies on doctoral students’mental health or well-being published in English were included,while non-empirical,non-English,and non-doctoral-student-focused studies were excluded.A total of 56 studies were included after rigorous screening.Results:Doctoral students’mental health and well-being are shaped by multiple interacting factors across individual,academic,interpersonal,organizational,and environmental levels.Moreover,variations in gender,identity,discipline,study stage,and institutional context may further exacerbate or mitigate psychological distress.Existing intervention studies primarily focus on three approaches:psychologically oriented training,practice-based behavioral and learning programs,and relationship-or support network-based initiatives.Conclusion:This review offers integrated evidence on doctoral students’mental health and well-being and highlights the need for universities to assume greater responsibility in developing systematic and responsive support mechanisms.Current research remains limited by insufficient cross-cultural comparison,a lack of intersectional perspectives,and a scarcity of large-scale,long-term evaluations of intervention effectiveness.Future studies should give greater attention to institutional contexts and vulnerable groups while expanding the scope and rigor of intervention research.展开更多
Objectives:In recent years,mental health has emerged as a pressing public health concern in China,driven by mounting societal pressures and fast-paced urban lifestyles.Physical activity,a well-established means of enh...Objectives:In recent years,mental health has emerged as a pressing public health concern in China,driven by mounting societal pressures and fast-paced urban lifestyles.Physical activity,a well-established means of enhancing psychological well-being,has received growing scholarly and policy attention.This study uses panel data from the 2020 and 2022 waves of the China Family Panel Studies(CFPS)to examine the impact of exercise frequency on mental health(with indicators such as CESD-8 depression scores)among college students and young employees,thereby providing empirical support for targeted mental health interventions.Methods:This study examines the relationship between individual exercise frequency and mental health among college students and young employees,using panel data from the 2020 and 2022 waves of the China Family Panel Studies(CFPS),with the Chinese version of the 8-item Center for Epidemiologic Studies Depression Scale(CESD-8)depression scores,self-rated health,and life satisfaction as outcome variables.Specifically,this study tests three hypotheses:(H1)increased exercise frequency significantly reduces depression symptoms and enhances well-being;(H2)the effects of exercise vary by social roles,with stronger mental health benefits among employed individuals and those with lower education;and(H3)lifestyle factors such as smoking amount,sleep duration,and Body Mass Index(BMI)partially mediate the relationship between exercise and mental health.Employing a two-way fixed effects model,baseline results indicate that a one-unit increase in exercise frequency significantly reduces the CESD-8 score by 0.183 points.To address potential endogeneity and spurious regression concerns,an instrumental variable(IV)approach is further applied.The heterogeneity analysis differentiates between students and employed individuals.Results:Among students,the effects of exercise on mental health are not statistically significant,regardless of education level.In contrast,for the employed,exercise demonstrates a significant positive impact on mental health,with particularly pronounced effects among those with lower educational attainment.These findings underscore the importance of promoting exercise as part of comprehensive mental health strategies.Mediation analysis indicates that the beneficial effect of exercise on mental health is partially transmitted through reductions in adverse health behaviors,especially smoking.Conclusions:Policymakers should integrate physical activity promotion into health interventions,prioritizing vulnerable groups to enhance psychological resilience and foster inclusive,health-oriented development.展开更多
Traditional psychiatric diagnosis relies on subjective symptom assessment,lacking objective biomarkers that hinder early detection and personalized treatment.Plasma proteins and polygenic risk score(PRS),as potential ...Traditional psychiatric diagnosis relies on subjective symptom assessment,lacking objective biomarkers that hinder early detection and personalized treatment.Plasma proteins and polygenic risk score(PRS),as potential predictive tools,hold promise for advancing early diagnosis of mental disorders.This study aims to evaluate the predictive potential of proteomic features and PRS in multiple mental illnesses(depression,schizophrenia,and post-traumatic stress disorder(PTSD)).Using participant data from the UK Biobank-Pharma Proteomics Project,we screen protein associations with mental disorders through least absolute shrinkage and selection operator(LASSO)analysis and construct a Cox regression risk prediction model by integrating the PRS.Additionally,we evaluate predictive performance using 6 machine learning methods and Kaplan-Meier survival curves.Our findings reveal distinct predictive patterns across dis-orders.For depression,integrating plasma proteins with PRS significantly improves prediction beyond the clinical model(C-index=0.6322).For schizophrenia,adding plasma proteins enhances predictive performance,whereas PRS provides no significant improvement.For PTSD,neither plasma proteins nor PRS add substantial predictive value beyond clinical variables.Risk stratification analysis demonstrat that all three mental disorders models can clearly distinguish high-risk from low-risk groups(depression:HR=2.34,P<0.001;schizophrenia:HR=5.47,P<0.001;PTSD:HR=3.02,P<0.001).Al-though it shows good performance in short-term prediction,its long-term prediction ability has decreased,and it needs to be further optimized in the future.This study underscores the differential utility of biomarkers across mental disorders and provides a rationale for disorder-specific predictive modeling in precision psychiatry.展开更多
Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This...Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.展开更多
Background:Social connection is widely recognized as a protective determinant of health,yet its direct and indirect effects on mental health remain underexplored.This study examines the relationship between social con...Background:Social connection is widely recognized as a protective determinant of health,yet its direct and indirect effects on mental health remain underexplored.This study examines the relationship between social connection and mental health,focusing on the mediating role of quality of life(QoL)and the moderating effect of regional differences.Methods:We analyzed data from the 2019 Korean Community Health Survey,comprising 229,099 adults.Mental health was assessed through validated measures of depressive symptoms and psychological well-being.Social connection was measured using indicators of interpersonal ties and community participation,and QoL was assessed via self-reported health-related satisfaction across major life domains.Analytical procedures included mediation modeling and subgroup analyses by region,with significance levels set at p<0.05.Results:The results indicate that social connections are significantly associated with lower stress levels and reduced depressive symptoms,with QoL playing a critical mediating role.Notably,the indirect effect of social connection on mental health via QoL is stronger in rural areas compared to urban regions,highlighting the importance of social cohesion and community support in mental well-being.Among 203,567 adults,greater social participation was associated with lower subjective stress(total effect=−0.052,p<0.001)and fewer depressive symptoms(PHQ-9 total effect=−0.308,p<0.001).QoL significantly mediated these associations,with the strongest indirect pathways observed through usual activities(19.2%for stress;27.6%for depression)and mobility(24.4%for depression).Regional analysis showed stronger mediation in rural areas(up to 26.8%for stress and 32.6%for depression)than in urban areas(8–16%and 14.9–23%).Direct effects remained significant,indicating partial mediation.These findings highlight that social participation enhances mental health directly and indirectly through QoL,particularly in rural contexts.Conclusions:Social connection contributes to better mental health both directly and indirectly through improved QoL,with stronger effects observed in rural communities.These findings highlight the importance of fostering social cohesion and enhancing life quality as strategies for improving population mental health.Policy interventions should adopt context-sensitive approaches that account for regional differences in social resources and service availability.展开更多
Background:Maternal mental health literacy is a cognitive resource that may support preschoolers’emotional development,yet its influence on emotional regulation and the related mechanisms remains unclear.This study e...Background:Maternal mental health literacy is a cognitive resource that may support preschoolers’emotional development,yet its influence on emotional regulation and the related mechanisms remains unclear.This study examined whether maternal depressive mood and democratic parenting form a chain pathway linking maternal mental health literacy to preschoolers’emotional regulation ability.Methods:Mothers of 544 preschoolers in China’s Mainland completed an online questionnaire that assessed maternal mental health literacy,depressive mood,democratic parenting,and child emotional regulation.Structural path analysis was conducted with child age and gender controlled.Indirect effects were tested using 5000 bootstrap samples.Results:Maternal mental health literacy did not directly predict preschoolers’emotional regulation.Three indirect effects were significant.The pathway through depressive mood had an effect of 0.005,the pathway through democratic parenting had an effect of 0.004,and the chain pathway through depressive mood and democratic parenting had an effect of 0.002.All confidence intervals excluded 0.Conclusion:Maternal mental health literacy influences preschoolers’emotional regulation only through maternal depressive mood and democratic parenting,indicating that cognitive resources affect child emotional outcomes through emotional and behavioral processes rather than a direct pathway.展开更多
The intersection of visual impairment and mental health has profound effects on quality of life and warrants attention from healthcare providers,educators,and policymakers.With 20 million children under the age of 14 ...The intersection of visual impairment and mental health has profound effects on quality of life and warrants attention from healthcare providers,educators,and policymakers.With 20 million children under the age of 14 affected globally,older adults also experience significant psychological impact including depression,anxiety,and cognitive impairment.The implications of vision-related challenges extend far beyond mere sight.Depression and anxiety,exacerbated by social isolation and reduced physical activity,underscore the need for comprehensive interventions that address both medical and psychosocial dimensions.By recognizing the profound impact of ocular morbidities like strabismus,myopia,glaucoma,and age-related macular degeneration on mental health and investing in effective treatments and inclusive practices,society can pave the way for a healthier,more equitable future for affected individuals.There is evidence that myopic children experience a higher prevalence of depressive symptoms compared to their normal peers,and interventions like the correction of strabismus can enhance psychological outcome-demonstrating the value of an integrated management approach.展开更多
Objective:To analyze the clinical effect of sensory integration training combined with cognitive training in the rehabilitation treatment of children with mental retardation.Methods:A total of 120 children with mental...Objective:To analyze the clinical effect of sensory integration training combined with cognitive training in the rehabilitation treatment of children with mental retardation.Methods:A total of 120 children with mental retardation who received rehabilitation intervention in our hospital from January 2022 to December 2025 were selected and divided into a control group and an experimental group,with 60 children in each group.The control group adopted a conventional rehabilitation training program;the experimental group adopted a combined sensory integration training and cognitive training program.The sensory integration ability,cognitive function,and daily living skills of children in the two groups were compared.Results:The sensory integration ability score of the experimental group(85.3±6.2)was significantly higher than that of the control group(72.1±7.5)(p<0.05);the cognitive function score(88.7±5.8)was significantly improved compared with that of the control group(76.4±6.9)(p<0.05);the daily living skills score(90.2±4.7)was significantly higher than that of the control group(80.5±5.3)(p<0.05).The social interaction ability of the experimental group reached 92.5%,which was significantly higher than that of the control group(81.3%)(p<0.05).Conclusion:Sensory integration training combined with cognitive training demonstrates favorable outcomes in the rehabilitation treatment of children with mental retardation,exhibiting a notable neurofunctional remodeling effect.It can optimize the multidimensional rehabilitation process,effectively enhance the comprehensive developmental potential of children,and hold significant clinical application value.展开更多
Objective:To analyze the impact of maternal-infant separation on the physical and mental state of high-risk pregnancy patients and explore the clinical efficacy of targeted nursing interventions.Methods:A total of 80 ...Objective:To analyze the impact of maternal-infant separation on the physical and mental state of high-risk pregnancy patients and explore the clinical efficacy of targeted nursing interventions.Methods:A total of 80 high-risk pregnancy patients treated in our hospital from January 2023 to January 2024 were selected as the study subjects.These patients were randomly divided into an observation group and a control group(40 cases each)using a random number table.The control group received routine high-risk pregnancy nursing care,while the observation group received specialized maternal-infant separation nursing interventions in addition to routine care.The psychological and physiological states and nursing satisfaction of the two groups were compared before and after the intervention.Results:The SAS scores,SDS scores,and sleep quality scores of the observation group were significantly lower than those of the control group,with statistically significant differences(p<0.05).The incidence of postpartum hemorrhage in the observation group was significantly lower than that in the control group,and the initiation time of lactation was significantly earlier than that in the control group,with both differences being statistically significant(p<0.05).The nursing satisfaction of the observation group was significantly higher than that of the control group(80%vs.32/40),with a statistically significant difference(p<0.05).Conclusion:Maternal-infant separation exacerbates anxiety and depression in high-risk pregnancy patients,reduces sleep quality,increases the risk of postpartum hemorrhage,and delays the initiation of lactation.Specialized nursing interventions for maternal-infant separation can improve the physical and mental state of high-risk pregnancy patients,reduce the incidence of postpartum complications,and enhance nursing satisfaction,making them worthy of clinical application and promotion.展开更多
Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P...Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders.This approach integrates theoretical knowledge and practical case studies through a dual-track strategy.(i)Theoretical track:textbooks and guidelines on TCM mental disorders were manually segmented.Initial responses were generated using DeepSeek-V3,followed by refinement by the Qwen3-32B model to align the expression with human preferences.A screening algorithm was then applied to select 16000 high-quality instruction pairs.(ii)Practical track:starting from over 600 real clinical case seeds,diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation,resulting in 4000 high-quality practiceoriented instruction pairs.The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset,comprising a total of 20000 instruction pairs.To validate the dataset’s effectiveness,three experimental evaluations(both manual and automated)were conducted:(i)comparative studies to compare the performance of models fine-tuned on different datasets;(ii)benchmarking to compare against mainstream TCM-specific large language models(LLMs);(iii)data ablation study to investigate the relationship between data volume and model performance.Results Experimental results demonstrate the superior performance of T&P-model finetuned on the Med-Mental-Instruct-T&P dataset.In the comparative study,the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data.This superiority was evident in both automated metrics(ROUGEL>0.55)and expert manual evaluations(scoring above 7/10 across accuracy).In benchmark comparisons,the T&P-model also excelled against existing mainstream TCM LLMs(e.g.,HuatuoGPT and ZuoyiGPT).It showed particularly strong capabilities in handling diverse clinical presentations,including challenging disorders such as insomnia and coma,showcasing its robustness and versatility.Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10%to 50%;beyond 50%,performance improvement slowed significantly,with metrics plateauing and approaching a saturation point.展开更多
There has been an increase in mental health problems in Sub-Saharan Africa.Considering this,it is critical to track the region’s level of mental health literacy(MHL)to identify key mental health priorities and to dir...There has been an increase in mental health problems in Sub-Saharan Africa.Considering this,it is critical to track the region’s level of mental health literacy(MHL)to identify key mental health priorities and to direct the most effective interventions.The purpose of this study was to review the existing literature on MHL in sub-Saharan Africa.EBSCOhost(inclusive of Academic Search Ultimate,MEDLINE,APA PsycINFO,APA Psych Articles,and Global Health),CINAHL with full text,Wiley Online Library,Taylor and Francis Online Journals and Google Scholar databases were searched to retrieve relevant articles.The study only considered original full-text,peer-reviewed,English-written research on MHL carried out in sub-Saharan Africa and published between 2015 and 2023.Scoping review steps by Arksey and O’Malley(2005)were followed.Grey literature,review studies,and review protocols were excluded.The data was analysed using reflexive thematic analysis(RTA).The results showed that MHL varies within the region,making it difficult to determine the exact state.Furthermore,the study uncovered factors that contribute to both poor and better MHL in the region.Poor MHL was linked to residing in the township and being male.Better MHL was associated with higher education levels,being female,urban residence,and having a history of mental illness,among other factors.The studyfindings provide evidence-based recommendations for regional,policy,or legislative-led interventions and prioritisations of mental health education programs and public mental health campaigns to increase awareness of mental health.展开更多
Mental health disorders have emerged as a critical global health challenge,profoundly impacting individuals,communities,and societies worldwide.The prevalence of mental health problems has been steadily increasing,wit...Mental health disorders have emerged as a critical global health challenge,profoundly impacting individuals,communities,and societies worldwide.The prevalence of mental health problems has been steadily increasing,with~1 in 8 people,equivalent to 970 million individuals suffering from a mental disorder in 2019(https://vizhub.healthdata.org/gbd-results).Anxiety and depressive disorders are predominant,contributing significantly to the burden of mental health issues,according to the World Health Organization.The COVID-19 pandemic has further exacerbated this situation.It led to a notable upsurge in anxiety and major depressive disorders in 2020.Estimates indicate a 26%rise in anxiety and a 28%increase in depression within that year(https://www.who.int/publications/i/item/WHO-2019-nCoVSci_Brief-Mental_health-2022.1)[1].展开更多
INTRODUCTION China is facing an increasingly urgent demand for children's mental health services.According to a nationwide epidemiological survey conducted by our team,the prevalence of mental health disorders amo...INTRODUCTION China is facing an increasingly urgent demand for children's mental health services.According to a nationwide epidemiological survey conducted by our team,the prevalence of mental health disorders among children aged 6-16 years in China is 17.5%,with attention-deficit hyperactivity disorder(6.4%),oppositional defiant disorder(3.6%)and major depressive disorder(2.0%)being the most common diagnoses.展开更多
As the population of older Asian Americans continues to grow rapidly,understanding their mental health needs has become increasingly critical.This literature review summarizes current issues,developments,and future di...As the population of older Asian Americans continues to grow rapidly,understanding their mental health needs has become increasingly critical.This literature review summarizes current issues,developments,and future directions in addressing the mental health challenges faced by older Asian Americans in the last five years.We briefly touch on the comparative prevalence of mental health disorders experienced by ethnic subgroups.Additionally,we review recent studies highlighting the role of the coronavirus disease 2019,racism,social support,cultural stigma,and self-rated health as significant factors influencing mental well-being of this population.We discuss the utilization of health services among older Asian Americans.We conclude with thoughts for future research,emphasizing the importance of longitudinal studies,consideration of diverse Asian American ethnic subgroups,and culturally sensitive diagnostic and treatment approaches.展开更多
Background International students contribute to the academic and economic vitality of US higher education while facing exacerbated mental health challenges.Little is known about national trends in anxiety,depression,s...Background International students contribute to the academic and economic vitality of US higher education while facing exacerbated mental health challenges.Little is known about national trends in anxiety,depression,suicidal ideation and mental health service utilisation in this population.Aims This study examined national trends in the prevalence of clinically significant anxiety,depression,suicidal ideation and service utilisation among international students in US higher education from 2015 to 2024.Methods This repeated cross-sectional study analysed annual data from the Healthy Minds Study,a national survey of collegiate mental health,including 44560 international students.Weighted prevalence estimates were calculated,and multivariable logistic regression models were used to examine temporal trends,controlling for demographic characteristics.Results The weighted annual prevalence of anxiety increased by 78.25%(from 20.46%in 2015-2016 to 36.47%in 2023-2024),depression increased by 73.04%(from 20.44%to 35.37%),suicidal ideation increased by 92.52%(from 5.35%to 10.30%)and service utilisation increased by 45.82%(from 5.26%to 7.67%).In logistic models controlling for demographic characteristics,the increasing trends in anxiety(adjusted odds ratio(aOR)2.21;95%CI 2.07 to 2.36;p<0.001),depression(aOR 1.93;95%CI 1.80 to 2.06;p<0.001),suicidal ideation(aOR 1.57;95%CI 1.41 to 1.74;p<0.001)and service utilisation(aOR 2.01;95%CI 1.79 to 2.26;p<0.001)remained statistically significant over time.Conclusions The prevalence of anxiety,depression and suicidal ideation nearly doubled among international students from 2015 to 2024,while counselling service utilisation increased at a slower rate,indicating persistent gaps in mental healthcare.These findings suggest the need for proactive interventions,culturally competent services and expanded outreach efforts to bridge the mental health service gap for international students.展开更多
Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has b...Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has been limited exploration of the intersection between mpox and mental health within the research literature.This study aims to conduct a comprehensive bibliometric analysis to examine global research trends,regional distribution,and thematic focus areas related to mpox's psychological and psychiatric implications.Methods:We conducted a bibliometric analysis using Scopus and the Web of Science database.The analysis was carried out using the R-bibliometrics package and involved identifying literature on mpox and mental health,focusing on global research trends,regional distribution,and thematic areas of study.The analysis included 416 documents obtained from 295 sources from January 1,2014 to August 27,2024.Results:Our analysis revealed a growing but unevenly distributed literature on mpox and mental health.Most studies concentrated on the relationship between mpox and conditions such as depression and anxiety,while other psychiatric outcomes remain underexplored.The geographic distribution of research was also uneven,with regions like Europe and the Americas receiving more focus than others.Conclusions:The study highlights the need for more targeted research on the mental health sequelae of mpox,particularly for vulnerable populations and regions that are currently underrepresented in the literature.Future research should include longitudinal studies to assess the long-term effects of mpox on mental health and the development of robust methodologies to establish causality.Integrating mental health considerations into public health responses to mpox outbreaks is crucial,with significant implications for research,policy,and clinical practice.展开更多
[Objectives]To systematically analyze the epidemiological characteristics and influencing factors associated with a cohort of 3273 rural patients diagnosed with mental disorders in Zhushan County,Hubei Province and ex...[Objectives]To systematically analyze the epidemiological characteristics and influencing factors associated with a cohort of 3273 rural patients diagnosed with mental disorders in Zhushan County,Hubei Province and explore an integrated management path that is applicable to rural areas.[Methods]A cross-sectional survey,in conjunction with a retrospective cohort analysis,was conducted.The samples were obtained from the National Management Information System for Severe Mental Disorders(2020-2024),and all registered rural patients in Zhushan County were included through cluster sampling.All participants provided informed consent,and the study received approval from the Ethics Committee of the Zhushan County Mental Health Center.Diagnoses were made in accordance with the International Classification of Diseases,10 th Revision(ICD-10).The research utilized a self-developed socio-ecological scale,which was validated through two rounds of the Delphi method conducted by an expert group,yielding a Cronbach sαof 0.82.The data were collected by trained investigators who conducted household visits.The data entry process involved double entry by two individuals to ensure accuracy for system review.Statistical analysis was performed using SPSS 26.0,employing the chi-square(χ2)test and logistic regression models for analysis.[Results]Schizophrenia was identified as the predominant disorder,affecting 68.4%of the patient population,followed by bipolar disorder,which accounted for 18.8%.Notably,individuals aged over 60 years constituted 40.36%of the sample.Furthermore,the poverty rate within this population was alarmingly high at 87.87%,while the illiteracy rate stood at 41.37%.The treatment experienced a significant delay,with a median duration of 14.2 months.Additionally,there was a substantial gap in standardized treatment,measured at 23.59%.The family care function was found to be inadequate,particularly for families lacking guardianship capacity,which was reported at 11.31%.An analysis of the underlying causes indicates that social structural imbalances(such as left-behind children and marital breakdown),along with economic poverty and insufficient educational opportunities,were critical risk factors contributing to these issues.The development of a model that integrates dynamic screening,full-chain intervention,and collaborative management is beneficial for fostering the efficient and systematic advancement of the rural mental health system.[Conclusions]Patients with mental disorders residing in rural areas face dual vulnerabilities.Therefore,it is essential to implement integrated management that encompasses early screening,standardized treatment,family support,and policy assistance.It is recommended that these elements should be integrated into the framework for local health policy development to enhance equitable access to mental health services and to provide psychological support for rural revitalization efforts.展开更多
文摘Objective:The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods.Conditions such as anxiety,depression,stress,bipolar disorder(BD),and autism spectrum disorder(ASD)frequently arise from the complex interplay of demographic,biological,and socioeconomic factors,resulting in aggravated symptoms.This review investigates machine intelligence approaches for the early detection and prediction of mental health conditions.Methods:The preferred reporting items for systematic reviews and meta-analyses(PRISMA)framework was employed to conduct a systematic review and analysis covering the period 2018 to 2025.The potential impact of machine intelligence methods was assessed by considering various strategies,hybridization of algorithms,tools,techniques,and datasets,and their applicability.Results:Through a systematic review of studies concentrating on the prediction and evaluation of mental disorders using machine intelligence algorithms,advancements,limitations,and gaps in current methodologies were highlighted.The datasets and tools utilized in these investigations were examined,offering a detailed overview of the status of computational models in understanding and diagnosing mental health disorders.Recent research indicated considerable improvements in diagnostic accuracy and treatment effectiveness,particularly for depression and anxiety,which have shown the greatest methodological diversity and notable advancements in machine intelligence.Conclusions:Despite these improvements,challenges persist,including the need for more diverse datasets,ethical issues surrounding data privacy and algorithmic bias,and obstacles to integrating these technologies into clinical settings.This synthesis emphasizes the transformative potential of machine intelligence in enhancing mental healthcare.
基金Supported by Inter Disciplinary Direction Cultivation Project of Hunan University of Chinese Medicine,No.2025JC01032025 Hunan Province Science and Technology Innovation Plan Project,No.2025RC9012+2 种基金2022"Unveiling and Leading"Project of Discipline Construction at Hunan University of Chinese Medicine,No.22JBZ044Changsha Municipal Natural Science Foundation,No.kq2402174Hunan Provincial Science Popularization Fund Project,No.2025ZK4223.
文摘BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.
文摘Recently,inflammatory cytokine profiles have been linked to suicide risk in adolescents with non-suicidal self-injury,highlighting a promising biological dimension of suicide risk assessment.Clinical translation of the cytokine profiles into practice will require frontline engagement of the workforce.Mental health nurses are frequently the most accessible professionals in schools,communities,and low-resource settings and are prime candidates to bridge this gap.By integrating psychosocial evaluation with emerging biomarker data,they can deliver systematic risk assessment,continuous monitoring,and timely intervention.This role would not replace psychiatric expertise;it would extend the reach of psychiatric services,embedding suicide prevention across the continuum of care.For health systems,nurse-led integration may enhance capacity,equity,and resilience in responding to adolescent suicide risk.This editorial demonstrates that empowering nurses to operationalize biomarker-informed strategies is needed for advancing effective and sustainable suicide prevention in this vulnerable population.
文摘Background:Mental health concerns among doctoral students have become increasingly prominent,with consistently low levels of well-being making this issue a critical focus in higher education research.This study aims to synthesize existing evidence on the mental health and well-being of doctoral students and to identify key factors and intervention strategies reported in the literature.Methods:A systematic review was conducted to examine the determinants and interventions related to doctoral students’mental health and well-being.Relevant studies were comprehensively searched in Web of Science,PubMed,Scopus,and EBSCO,with the final search conducted on September 19,2025.Records were screened according to predefined criteria:empirical studies on doctoral students’mental health or well-being published in English were included,while non-empirical,non-English,and non-doctoral-student-focused studies were excluded.A total of 56 studies were included after rigorous screening.Results:Doctoral students’mental health and well-being are shaped by multiple interacting factors across individual,academic,interpersonal,organizational,and environmental levels.Moreover,variations in gender,identity,discipline,study stage,and institutional context may further exacerbate or mitigate psychological distress.Existing intervention studies primarily focus on three approaches:psychologically oriented training,practice-based behavioral and learning programs,and relationship-or support network-based initiatives.Conclusion:This review offers integrated evidence on doctoral students’mental health and well-being and highlights the need for universities to assume greater responsibility in developing systematic and responsive support mechanisms.Current research remains limited by insufficient cross-cultural comparison,a lack of intersectional perspectives,and a scarcity of large-scale,long-term evaluations of intervention effectiveness.Future studies should give greater attention to institutional contexts and vulnerable groups while expanding the scope and rigor of intervention research.
文摘Objectives:In recent years,mental health has emerged as a pressing public health concern in China,driven by mounting societal pressures and fast-paced urban lifestyles.Physical activity,a well-established means of enhancing psychological well-being,has received growing scholarly and policy attention.This study uses panel data from the 2020 and 2022 waves of the China Family Panel Studies(CFPS)to examine the impact of exercise frequency on mental health(with indicators such as CESD-8 depression scores)among college students and young employees,thereby providing empirical support for targeted mental health interventions.Methods:This study examines the relationship between individual exercise frequency and mental health among college students and young employees,using panel data from the 2020 and 2022 waves of the China Family Panel Studies(CFPS),with the Chinese version of the 8-item Center for Epidemiologic Studies Depression Scale(CESD-8)depression scores,self-rated health,and life satisfaction as outcome variables.Specifically,this study tests three hypotheses:(H1)increased exercise frequency significantly reduces depression symptoms and enhances well-being;(H2)the effects of exercise vary by social roles,with stronger mental health benefits among employed individuals and those with lower education;and(H3)lifestyle factors such as smoking amount,sleep duration,and Body Mass Index(BMI)partially mediate the relationship between exercise and mental health.Employing a two-way fixed effects model,baseline results indicate that a one-unit increase in exercise frequency significantly reduces the CESD-8 score by 0.183 points.To address potential endogeneity and spurious regression concerns,an instrumental variable(IV)approach is further applied.The heterogeneity analysis differentiates between students and employed individuals.Results:Among students,the effects of exercise on mental health are not statistically significant,regardless of education level.In contrast,for the employed,exercise demonstrates a significant positive impact on mental health,with particularly pronounced effects among those with lower educational attainment.These findings underscore the importance of promoting exercise as part of comprehensive mental health strategies.Mediation analysis indicates that the beneficial effect of exercise on mental health is partially transmitted through reductions in adverse health behaviors,especially smoking.Conclusions:Policymakers should integrate physical activity promotion into health interventions,prioritizing vulnerable groups to enhance psychological resilience and foster inclusive,health-oriented development.
基金The National Natural Science Foundation of China-Regional Science“Identification of novel drug targets for lung cancer via Mendelian randomization analysis based on blood proteomics”(62362062)The 2025 Xinjiang University Excellent Graduate Innovation Project“Research on identification of therapeutic targets and predictive factors for mental disorders based on proteomics”(XJDX2025YJS151)。
文摘Traditional psychiatric diagnosis relies on subjective symptom assessment,lacking objective biomarkers that hinder early detection and personalized treatment.Plasma proteins and polygenic risk score(PRS),as potential predictive tools,hold promise for advancing early diagnosis of mental disorders.This study aims to evaluate the predictive potential of proteomic features and PRS in multiple mental illnesses(depression,schizophrenia,and post-traumatic stress disorder(PTSD)).Using participant data from the UK Biobank-Pharma Proteomics Project,we screen protein associations with mental disorders through least absolute shrinkage and selection operator(LASSO)analysis and construct a Cox regression risk prediction model by integrating the PRS.Additionally,we evaluate predictive performance using 6 machine learning methods and Kaplan-Meier survival curves.Our findings reveal distinct predictive patterns across dis-orders.For depression,integrating plasma proteins with PRS significantly improves prediction beyond the clinical model(C-index=0.6322).For schizophrenia,adding plasma proteins enhances predictive performance,whereas PRS provides no significant improvement.For PTSD,neither plasma proteins nor PRS add substantial predictive value beyond clinical variables.Risk stratification analysis demonstrat that all three mental disorders models can clearly distinguish high-risk from low-risk groups(depression:HR=2.34,P<0.001;schizophrenia:HR=5.47,P<0.001;PTSD:HR=3.02,P<0.001).Al-though it shows good performance in short-term prediction,its long-term prediction ability has decreased,and it needs to be further optimized in the future.This study underscores the differential utility of biomarkers across mental disorders and provides a rationale for disorder-specific predictive modeling in precision psychiatry.
文摘Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.
基金supported by the“Regional Innovation System&Education(RISE)”through the Seoul RISE Center,funded by the Ministry of Education(MOE)and the Seoul Metropolitan Government.(2025-RISE-01-005-07).
文摘Background:Social connection is widely recognized as a protective determinant of health,yet its direct and indirect effects on mental health remain underexplored.This study examines the relationship between social connection and mental health,focusing on the mediating role of quality of life(QoL)and the moderating effect of regional differences.Methods:We analyzed data from the 2019 Korean Community Health Survey,comprising 229,099 adults.Mental health was assessed through validated measures of depressive symptoms and psychological well-being.Social connection was measured using indicators of interpersonal ties and community participation,and QoL was assessed via self-reported health-related satisfaction across major life domains.Analytical procedures included mediation modeling and subgroup analyses by region,with significance levels set at p<0.05.Results:The results indicate that social connections are significantly associated with lower stress levels and reduced depressive symptoms,with QoL playing a critical mediating role.Notably,the indirect effect of social connection on mental health via QoL is stronger in rural areas compared to urban regions,highlighting the importance of social cohesion and community support in mental well-being.Among 203,567 adults,greater social participation was associated with lower subjective stress(total effect=−0.052,p<0.001)and fewer depressive symptoms(PHQ-9 total effect=−0.308,p<0.001).QoL significantly mediated these associations,with the strongest indirect pathways observed through usual activities(19.2%for stress;27.6%for depression)and mobility(24.4%for depression).Regional analysis showed stronger mediation in rural areas(up to 26.8%for stress and 32.6%for depression)than in urban areas(8–16%and 14.9–23%).Direct effects remained significant,indicating partial mediation.These findings highlight that social participation enhances mental health directly and indirectly through QoL,particularly in rural contexts.Conclusions:Social connection contributes to better mental health both directly and indirectly through improved QoL,with stronger effects observed in rural communities.These findings highlight the importance of fostering social cohesion and enhancing life quality as strategies for improving population mental health.Policy interventions should adopt context-sensitive approaches that account for regional differences in social resources and service availability.
文摘Background:Maternal mental health literacy is a cognitive resource that may support preschoolers’emotional development,yet its influence on emotional regulation and the related mechanisms remains unclear.This study examined whether maternal depressive mood and democratic parenting form a chain pathway linking maternal mental health literacy to preschoolers’emotional regulation ability.Methods:Mothers of 544 preschoolers in China’s Mainland completed an online questionnaire that assessed maternal mental health literacy,depressive mood,democratic parenting,and child emotional regulation.Structural path analysis was conducted with child age and gender controlled.Indirect effects were tested using 5000 bootstrap samples.Results:Maternal mental health literacy did not directly predict preschoolers’emotional regulation.Three indirect effects were significant.The pathway through depressive mood had an effect of 0.005,the pathway through democratic parenting had an effect of 0.004,and the chain pathway through depressive mood and democratic parenting had an effect of 0.002.All confidence intervals excluded 0.Conclusion:Maternal mental health literacy influences preschoolers’emotional regulation only through maternal depressive mood and democratic parenting,indicating that cognitive resources affect child emotional outcomes through emotional and behavioral processes rather than a direct pathway.
文摘The intersection of visual impairment and mental health has profound effects on quality of life and warrants attention from healthcare providers,educators,and policymakers.With 20 million children under the age of 14 affected globally,older adults also experience significant psychological impact including depression,anxiety,and cognitive impairment.The implications of vision-related challenges extend far beyond mere sight.Depression and anxiety,exacerbated by social isolation and reduced physical activity,underscore the need for comprehensive interventions that address both medical and psychosocial dimensions.By recognizing the profound impact of ocular morbidities like strabismus,myopia,glaucoma,and age-related macular degeneration on mental health and investing in effective treatments and inclusive practices,society can pave the way for a healthier,more equitable future for affected individuals.There is evidence that myopic children experience a higher prevalence of depressive symptoms compared to their normal peers,and interventions like the correction of strabismus can enhance psychological outcome-demonstrating the value of an integrated management approach.
基金Baoding Science and Technology Plan Project(Project No.:2541ZF307)。
文摘Objective:To analyze the clinical effect of sensory integration training combined with cognitive training in the rehabilitation treatment of children with mental retardation.Methods:A total of 120 children with mental retardation who received rehabilitation intervention in our hospital from January 2022 to December 2025 were selected and divided into a control group and an experimental group,with 60 children in each group.The control group adopted a conventional rehabilitation training program;the experimental group adopted a combined sensory integration training and cognitive training program.The sensory integration ability,cognitive function,and daily living skills of children in the two groups were compared.Results:The sensory integration ability score of the experimental group(85.3±6.2)was significantly higher than that of the control group(72.1±7.5)(p<0.05);the cognitive function score(88.7±5.8)was significantly improved compared with that of the control group(76.4±6.9)(p<0.05);the daily living skills score(90.2±4.7)was significantly higher than that of the control group(80.5±5.3)(p<0.05).The social interaction ability of the experimental group reached 92.5%,which was significantly higher than that of the control group(81.3%)(p<0.05).Conclusion:Sensory integration training combined with cognitive training demonstrates favorable outcomes in the rehabilitation treatment of children with mental retardation,exhibiting a notable neurofunctional remodeling effect.It can optimize the multidimensional rehabilitation process,effectively enhance the comprehensive developmental potential of children,and hold significant clinical application value.
文摘Objective:To analyze the impact of maternal-infant separation on the physical and mental state of high-risk pregnancy patients and explore the clinical efficacy of targeted nursing interventions.Methods:A total of 80 high-risk pregnancy patients treated in our hospital from January 2023 to January 2024 were selected as the study subjects.These patients were randomly divided into an observation group and a control group(40 cases each)using a random number table.The control group received routine high-risk pregnancy nursing care,while the observation group received specialized maternal-infant separation nursing interventions in addition to routine care.The psychological and physiological states and nursing satisfaction of the two groups were compared before and after the intervention.Results:The SAS scores,SDS scores,and sleep quality scores of the observation group were significantly lower than those of the control group,with statistically significant differences(p<0.05).The incidence of postpartum hemorrhage in the observation group was significantly lower than that in the control group,and the initiation time of lactation was significantly earlier than that in the control group,with both differences being statistically significant(p<0.05).The nursing satisfaction of the observation group was significantly higher than that of the control group(80%vs.32/40),with a statistically significant difference(p<0.05).Conclusion:Maternal-infant separation exacerbates anxiety and depression in high-risk pregnancy patients,reduces sleep quality,increases the risk of postpartum hemorrhage,and delays the initiation of lactation.Specialized nursing interventions for maternal-infant separation can improve the physical and mental state of high-risk pregnancy patients,reduce the incidence of postpartum complications,and enhance nursing satisfaction,making them worthy of clinical application and promotion.
基金Key Scientific Research Project of the Hunan Provincial Department of Education(23A312).
文摘Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders.This approach integrates theoretical knowledge and practical case studies through a dual-track strategy.(i)Theoretical track:textbooks and guidelines on TCM mental disorders were manually segmented.Initial responses were generated using DeepSeek-V3,followed by refinement by the Qwen3-32B model to align the expression with human preferences.A screening algorithm was then applied to select 16000 high-quality instruction pairs.(ii)Practical track:starting from over 600 real clinical case seeds,diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation,resulting in 4000 high-quality practiceoriented instruction pairs.The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset,comprising a total of 20000 instruction pairs.To validate the dataset’s effectiveness,three experimental evaluations(both manual and automated)were conducted:(i)comparative studies to compare the performance of models fine-tuned on different datasets;(ii)benchmarking to compare against mainstream TCM-specific large language models(LLMs);(iii)data ablation study to investigate the relationship between data volume and model performance.Results Experimental results demonstrate the superior performance of T&P-model finetuned on the Med-Mental-Instruct-T&P dataset.In the comparative study,the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data.This superiority was evident in both automated metrics(ROUGEL>0.55)and expert manual evaluations(scoring above 7/10 across accuracy).In benchmark comparisons,the T&P-model also excelled against existing mainstream TCM LLMs(e.g.,HuatuoGPT and ZuoyiGPT).It showed particularly strong capabilities in handling diverse clinical presentations,including challenging disorders such as insomnia and coma,showcasing its robustness and versatility.Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10%to 50%;beyond 50%,performance improvement slowed significantly,with metrics plateauing and approaching a saturation point.
文摘There has been an increase in mental health problems in Sub-Saharan Africa.Considering this,it is critical to track the region’s level of mental health literacy(MHL)to identify key mental health priorities and to direct the most effective interventions.The purpose of this study was to review the existing literature on MHL in sub-Saharan Africa.EBSCOhost(inclusive of Academic Search Ultimate,MEDLINE,APA PsycINFO,APA Psych Articles,and Global Health),CINAHL with full text,Wiley Online Library,Taylor and Francis Online Journals and Google Scholar databases were searched to retrieve relevant articles.The study only considered original full-text,peer-reviewed,English-written research on MHL carried out in sub-Saharan Africa and published between 2015 and 2023.Scoping review steps by Arksey and O’Malley(2005)were followed.Grey literature,review studies,and review protocols were excluded.The data was analysed using reflexive thematic analysis(RTA).The results showed that MHL varies within the region,making it difficult to determine the exact state.Furthermore,the study uncovered factors that contribute to both poor and better MHL in the region.Poor MHL was linked to residing in the township and being male.Better MHL was associated with higher education levels,being female,urban residence,and having a history of mental illness,among other factors.The studyfindings provide evidence-based recommendations for regional,policy,or legislative-led interventions and prioritisations of mental health education programs and public mental health campaigns to increase awareness of mental health.
基金supported by the National Natural Science Foundation of China(T2241028)STI2030-Major Projects[2021ZD0203000(2021ZD0203003)].
文摘Mental health disorders have emerged as a critical global health challenge,profoundly impacting individuals,communities,and societies worldwide.The prevalence of mental health problems has been steadily increasing,with~1 in 8 people,equivalent to 970 million individuals suffering from a mental disorder in 2019(https://vizhub.healthdata.org/gbd-results).Anxiety and depressive disorders are predominant,contributing significantly to the burden of mental health issues,according to the World Health Organization.The COVID-19 pandemic has further exacerbated this situation.It led to a notable upsurge in anxiety and major depressive disorders in 2020.Estimates indicate a 26%rise in anxiety and a 28%increase in depression within that year(https://www.who.int/publications/i/item/WHO-2019-nCoVSci_Brief-Mental_health-2022.1)[1].
基金supported by a grant from the National Natural Science Foundation of China(grant no.82171538)the Beijing High-level Public Health Technology Talent Construction Project(grant no.2022-2-007)the Joint Basic—Clinical Laboratory of Paediatric Epilepsy and Cognitive Development(grant no.3-1-013-03).
文摘INTRODUCTION China is facing an increasingly urgent demand for children's mental health services.According to a nationwide epidemiological survey conducted by our team,the prevalence of mental health disorders among children aged 6-16 years in China is 17.5%,with attention-deficit hyperactivity disorder(6.4%),oppositional defiant disorder(3.6%)and major depressive disorder(2.0%)being the most common diagnoses.
文摘As the population of older Asian Americans continues to grow rapidly,understanding their mental health needs has become increasingly critical.This literature review summarizes current issues,developments,and future directions in addressing the mental health challenges faced by older Asian Americans in the last five years.We briefly touch on the comparative prevalence of mental health disorders experienced by ethnic subgroups.Additionally,we review recent studies highlighting the role of the coronavirus disease 2019,racism,social support,cultural stigma,and self-rated health as significant factors influencing mental well-being of this population.We discuss the utilization of health services among older Asian Americans.We conclude with thoughts for future research,emphasizing the importance of longitudinal studies,consideration of diverse Asian American ethnic subgroups,and culturally sensitive diagnostic and treatment approaches.
文摘Background International students contribute to the academic and economic vitality of US higher education while facing exacerbated mental health challenges.Little is known about national trends in anxiety,depression,suicidal ideation and mental health service utilisation in this population.Aims This study examined national trends in the prevalence of clinically significant anxiety,depression,suicidal ideation and service utilisation among international students in US higher education from 2015 to 2024.Methods This repeated cross-sectional study analysed annual data from the Healthy Minds Study,a national survey of collegiate mental health,including 44560 international students.Weighted prevalence estimates were calculated,and multivariable logistic regression models were used to examine temporal trends,controlling for demographic characteristics.Results The weighted annual prevalence of anxiety increased by 78.25%(from 20.46%in 2015-2016 to 36.47%in 2023-2024),depression increased by 73.04%(from 20.44%to 35.37%),suicidal ideation increased by 92.52%(from 5.35%to 10.30%)and service utilisation increased by 45.82%(from 5.26%to 7.67%).In logistic models controlling for demographic characteristics,the increasing trends in anxiety(adjusted odds ratio(aOR)2.21;95%CI 2.07 to 2.36;p<0.001),depression(aOR 1.93;95%CI 1.80 to 2.06;p<0.001),suicidal ideation(aOR 1.57;95%CI 1.41 to 1.74;p<0.001)and service utilisation(aOR 2.01;95%CI 1.79 to 2.26;p<0.001)remained statistically significant over time.Conclusions The prevalence of anxiety,depression and suicidal ideation nearly doubled among international students from 2015 to 2024,while counselling service utilisation increased at a slower rate,indicating persistent gaps in mental healthcare.These findings suggest the need for proactive interventions,culturally competent services and expanded outreach efforts to bridge the mental health service gap for international students.
文摘Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has been limited exploration of the intersection between mpox and mental health within the research literature.This study aims to conduct a comprehensive bibliometric analysis to examine global research trends,regional distribution,and thematic focus areas related to mpox's psychological and psychiatric implications.Methods:We conducted a bibliometric analysis using Scopus and the Web of Science database.The analysis was carried out using the R-bibliometrics package and involved identifying literature on mpox and mental health,focusing on global research trends,regional distribution,and thematic areas of study.The analysis included 416 documents obtained from 295 sources from January 1,2014 to August 27,2024.Results:Our analysis revealed a growing but unevenly distributed literature on mpox and mental health.Most studies concentrated on the relationship between mpox and conditions such as depression and anxiety,while other psychiatric outcomes remain underexplored.The geographic distribution of research was also uneven,with regions like Europe and the Americas receiving more focus than others.Conclusions:The study highlights the need for more targeted research on the mental health sequelae of mpox,particularly for vulnerable populations and regions that are currently underrepresented in the literature.Future research should include longitudinal studies to assess the long-term effects of mpox on mental health and the development of robust methodologies to establish causality.Integrating mental health considerations into public health responses to mpox outbreaks is crucial,with significant implications for research,policy,and clinical practice.
基金Supported by TCM Scientific Research Guidance Program of Hubei Provincial Administration of Traditional Chinese Medicine(ZY2023F074).
文摘[Objectives]To systematically analyze the epidemiological characteristics and influencing factors associated with a cohort of 3273 rural patients diagnosed with mental disorders in Zhushan County,Hubei Province and explore an integrated management path that is applicable to rural areas.[Methods]A cross-sectional survey,in conjunction with a retrospective cohort analysis,was conducted.The samples were obtained from the National Management Information System for Severe Mental Disorders(2020-2024),and all registered rural patients in Zhushan County were included through cluster sampling.All participants provided informed consent,and the study received approval from the Ethics Committee of the Zhushan County Mental Health Center.Diagnoses were made in accordance with the International Classification of Diseases,10 th Revision(ICD-10).The research utilized a self-developed socio-ecological scale,which was validated through two rounds of the Delphi method conducted by an expert group,yielding a Cronbach sαof 0.82.The data were collected by trained investigators who conducted household visits.The data entry process involved double entry by two individuals to ensure accuracy for system review.Statistical analysis was performed using SPSS 26.0,employing the chi-square(χ2)test and logistic regression models for analysis.[Results]Schizophrenia was identified as the predominant disorder,affecting 68.4%of the patient population,followed by bipolar disorder,which accounted for 18.8%.Notably,individuals aged over 60 years constituted 40.36%of the sample.Furthermore,the poverty rate within this population was alarmingly high at 87.87%,while the illiteracy rate stood at 41.37%.The treatment experienced a significant delay,with a median duration of 14.2 months.Additionally,there was a substantial gap in standardized treatment,measured at 23.59%.The family care function was found to be inadequate,particularly for families lacking guardianship capacity,which was reported at 11.31%.An analysis of the underlying causes indicates that social structural imbalances(such as left-behind children and marital breakdown),along with economic poverty and insufficient educational opportunities,were critical risk factors contributing to these issues.The development of a model that integrates dynamic screening,full-chain intervention,and collaborative management is beneficial for fostering the efficient and systematic advancement of the rural mental health system.[Conclusions]Patients with mental disorders residing in rural areas face dual vulnerabilities.Therefore,it is essential to implement integrated management that encompasses early screening,standardized treatment,family support,and policy assistance.It is recommended that these elements should be integrated into the framework for local health policy development to enhance equitable access to mental health services and to provide psychological support for rural revitalization efforts.
