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
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 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
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:Employment can support the recovery of individuals with Severe Mental Disorders by promoting autonomy,reducing hospital admissions and associated costs,fostering social connections,and providing structure t...Background:Employment can support the recovery of individuals with Severe Mental Disorders by promoting autonomy,reducing hospital admissions and associated costs,fostering social connections,and providing structure to their daily lives.The objective of this pilot study was to analyse job satisfaction and perceived social support in people with severe mental disorders who are users of an Employment Guidance and Support Service in southern Spain.Methods:A descriptive cross-sectional pilot study was carried out with a sample of 39 workers with mental disorders from the province of Huelva(southern Spain)who were users of the Employment Guidance and Support Service of the Regional Government of Andalusia(Spain).Perceived Organisational Support was assessed with the Spanish short version of the Survey of Perceived Organizational Support and the S10/12 Job Satisfaction Questionnaire.Results:As findings,87.2%of the sample reported high levels of job satisfaction,and 61.5%of the subjects surveyed perceived high levels of support.Regarding the variable Perceived Support,84%of workers from ordinary companies and 50%of those from Special Employment Centres(SECs)considered that they had sufficient support.There was a positive correlation between support and satisfaction(Spearman’s Rho=0.423).Conclusion:The results suggest a positive relationship between support and satisfaction,warranting further longitudinal research with larger samples.This pilot study provides preliminary insights into the relationship between perceived organizational support and job satisfaction among workers with severe mental disorders.展开更多
Tuberculous meningitis(TBM),which accounts for 1%-5%of global tuberculosis cases,is a severe neurological infection with a mortality rate of 30%-50%.Its high fatality and disability rates disproportionately affect low...Tuberculous meningitis(TBM),which accounts for 1%-5%of global tuberculosis cases,is a severe neurological infection with a mortality rate of 30%-50%.Its high fatality and disability rates disproportionately affect low-and middle-income regions(e.g.,sub-Saharan Africa and Southeast Asia),threatening the lives of patients and imposing significant psychosocial burdens.Recent studies have highlighted the crucial role of psychosocial factors,including socioeconomic status,disease severity,and social support systems in recovery.However,research gaps persist in developing TBM-specific psychosocial interventions.This narrative review summarizes and organizes the key findings of observational studies,cohort studies,and intervention trials published between 2015 and 2024.Databases including PubMed,Scopus,and Web of Science were searched for terms related to TBM,psychosocial risk factors and mental health interventions.Studies were screened for relevance and quality,focusing on those that examined the psychological and social determinants of mental health outcomes in patients with TBM.展开更多
Objectives:Recent research has shown that college students experience high levels of stress from various sources,which contribute to heightened rates of psychological distress and make them particularly vulnerable to ...Objectives:Recent research has shown that college students experience high levels of stress from various sources,which contribute to heightened rates of psychological distress and make them particularly vulnerable to mental health issues.Hence,we conducted a study,aimed to analyze the influence of a mobile-based walking routine on mental health outcomes,such as perceived stress and positive and negative affect.Methods:The participants were divided into two groups:the walking group(N=23)and the control group(N=24).The walking group engaged in an approximately 25-min walking session for at least 3 days per week,which was carefully monitored and facilitated with the help of the Nike Run Club application.The statistical analysis of the quantitative data was carried out with the help of SPSS 25.0.In addition to calculating descriptive statistics,we conducted an independent samples t-test,a repeated-measures ANOVA,and a paired sample t-test to analyze the effectiveness of the intervention.Results:A repeated-measures ANOVA revealed that the walking group exhibited significant reductions in perceived stress(t=2.03,p=0.049,Cohen’s D=0.60)and negative affect(t=2.19,p=0.033,Cohen’s D=0.65)after the intervention,whereas the control group showed no significant changes across time in any of the proposed variables.Conclusion:The results of the study continue to be indicative of the positive effects of regular walking on perceived stress and negative affect,preserving its role as a straightforward and accessible tool for reducing stress and negative affect.展开更多
An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnos...An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnostic and treatment tactics are needed.Digital tools and technology are helping solve these problems by providing scalable,tailored solutions for large populations.This detailed review examines mental health‐promoting internet tools.Smartphone applications,web‐based therapy systems,wearable tech,artificial intelligence‐powered resources,and virtual reality(VR)technologies were evaluated for efficacy and side effects.PubMed,PsycINFO,Scopus,IEEE Xplore,and Google Scholar were carefully searched.Search terms included“digital mental health tools,”“online therapy,”and“AI in mental health.”Randomized controlled trials,cohort studies,cross‐sectional studies,systematic reviews,and meta‐analyses of digital technology and mental health were included from among the literature published after 2010.Cognitive behavioral therapy methods,mood monitoring,and mindfulness exercises are among the numerous features of smartphone applications that have been demonstrated to mitigate symptoms of anxiety,depression,and tension.Online therapy platforms let marginalized individuals obtain therapy remotely.Wearable technology may detect heart rate,blood pressure,and sleep length,which may reveal mental health difficulties.Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention.Exposure therapy for anxiety and trauma is increasingly using virtual reality environments.Although digital mental health therapies face challenges in relation to data privacy,limited long‐term efficacy,and technological inequality,digital technologies are modernizing mental healthcare.By offering inexpensive and effective alternatives to traditional therapies,digital technologies may help healthcare systems meet the growing demand for mental health services and overall well‐being.展开更多
Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing trend.This aims to alleviate the workload on healthcare professionals and aid individuals.Num...Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing trend.This aims to alleviate the workload on healthcare professionals and aid individuals.Numerous applications have been developed to support the challenges in intelligent healthcare systems.However,because mental health data is sensitive,privacy concerns have emerged.Federated learning has gotten some attention.This research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare systems.It explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health applications.This research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security concerns.The survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.展开更多
Objective This study aimed to analyse the trend of the mental disorder spectrum in children and adolescents from 2014 to 2022 in one city in Central China and to provide actionable recommendations for the prevention a...Objective This study aimed to analyse the trend of the mental disorder spectrum in children and adolescents from 2014 to 2022 in one city in Central China and to provide actionable recommendations for the prevention and management of mental disorders.Methods In this hospital-based retrospective study,we utilized child and adolescent medical records data from the Wuhan Mental Health Center from January 2014 to December 2022 and examined the top 5 mental disorders(schizophrenia,depressive episode,bipolar disorder,pervasive developmental disorder,and unspecified mood disorder)that accounted for the overall proportion of patients admitted.The rank and proportion of these mental disorders,demographic characteristics and disease indicators were analysed.Results There was a significant upwards trend in the number of children and adolescents diagnosed with mental disorders over the past 9 years,with a sharp decline in 2020 due to the COVID-19 pandemic,followed by a rebound in 2021 and a sustained level above prepandemic figures by 2022.The average age of hospitalization decreased significantly from 20.7 to 16.2 years,with a marked increase in the 12-17-year-old age group.The proportion of female hospitalizations increased from 39.2%to 55.2%,with a corresponding decrease in male hospitalizations.There was a notable decrease in the proportion of schizophrenia cases and an ascent of depressive episode to the most prevalent position.Conclusion This study emphasizes the critical need for targeted interventions and resources for severe mental disorders in children and adolescents and the importance of early detection and management of mental disorders to mitigate long-term effects on well-being and development.展开更多
Emergency department nurses face severe occupational stress leading to anxiety,depression,and burnout,which significantly impair their well-being and patientcare quality.This narrative review examined the role of mind...Emergency department nurses face severe occupational stress leading to anxiety,depression,and burnout,which significantly impair their well-being and patientcare quality.This narrative review examined the role of mindfulness-based stress reduction(MBSR)in addressing these challenges.Rooted in nonjudgmental present-moment awareness,MBSR enhances emotional regulation and reduces psychological distress by fostering adaptive coping strategies.Studies have demonstrated its efficacy in lowering anxiety,depressive symptoms,and emotional exhaustion,while improving workplace well-being,empathy,and job satisfaction.Mechanistically,MBSR improves interoceptive awareness and autonomic balance,as evidenced by physiological markers such as heart rate variability.However,gaps remain in long-term efficacy assessments,personalized interventions,and integration with multidisciplinary approaches.Future research should prioritize tailored biomarker-driven programs,longitudinal studies,and scalable implementation strategies in high-stress clinical settings.This review underscores MBSR’s potential as a sustainable,evidence-based tool to enhance emergency department nurses’mental health and professional performance,advocating for broader adoption and further refinement of its practical applications.展开更多
Several articles on the mental health impact of the metaverse and the need to balance its potential benefits with the risks of metaverse use has recently published.The metaverse consists of a combination of immersive ...Several articles on the mental health impact of the metaverse and the need to balance its potential benefits with the risks of metaverse use has recently published.The metaverse consists of a combination of immersive technologies and artificial intelligence algorithms.The metaverse differs from the preceding digital psychiatric interventions due to its complex structure and interactions between components.The diverse functions of the metaverse ensure that it may have a substantial impact on mental health.However,the evidence for its efficacy in treating mental health disorders is limited to a few trials.The mental health benefits of immersive technologies are well-documented and suggest that metaverse-based psychiatric treatment may be similarly efficacious.The mental health risks of the metaverse are largely unknown,and it is not clear whether they will be greater than other digital psychiatric interventions.Much more research is needed to determine whether metaverse-based psychiatric treatment will meet the standards of appropriate mental healthcare.展开更多
In this editorial,I comment on the article by Zhang et al.To emphasize the importance of the topic,I discuss the relationship between the use of smart medical devices and mental health.Smart medical services have the ...In this editorial,I comment on the article by Zhang et al.To emphasize the importance of the topic,I discuss the relationship between the use of smart medical devices and mental health.Smart medical services have the potential to positively influence mental health by providing monitoring,insights,and inter-ventions.However,they also come with challenges that need to be addressed.Understanding the primary purpose for which individuals use these smart tech-nologies is essential to tailoring them to specific mental health needs and prefe-rences.展开更多
BACKGROUND Revisiting the epidemiology of posttraumatic stress symptoms(PTSSs)among university students during the coronavirus disease 2019(COVID-19)pandemic as well as understanding the mental health help-seeking beh...BACKGROUND Revisiting the epidemiology of posttraumatic stress symptoms(PTSSs)among university students during the coronavirus disease 2019(COVID-19)pandemic as well as understanding the mental health help-seeking behavior of individuals with PTSSs has critical implications for public mental health strategies in future medical pandemics.AIM To investigate the prevalence and correlates of PTSSs among university students during the first wave of the COVID-19 pandemic in China and to examine mental health help-seeking behaviors among these students.METHODS A total of 2507 Chinese university students were recruited via snowball sampling.The students completed the Seven-item Screening Scale for Post-traumatic Stress Disorder during the first wave of the COVID-19 pandemic in China.Sociodemo-graphic characteristics,pandemic-related characteristics,and mental health help-seeking behaviors of students with PTSSs were also collected.RESULTS The prevalence of PTSSs among the participants was 28.0%.Seven significant correlates of PTSSs were identified(odds ratio=1.23-3.65,P≤0.024):Female sex,being 19 years old or older,living with others or alone,a low level of family economic status,fair or poor interpersonal relationships,severe or very severe local pandemic,and having family members diagnosed with COVID-19.However,only 3.28%of the students with PTSSs reported seeking help from mental health specialists.Among the 23 students who sought help from mental health specialists,13 opted for online or telephone-based psychological consultation.CONCLUSION Our data suggest that there was a high risk of PTSSs among university students and a high level of unmet mental health needs during the COVID-19 pandemic.The delivery of mental health services online or via telephone is a promising approach to address these unmet needs.展开更多
BACKGROUND The burden of mental disorders(MD)in the Western Pacific Region(WPR)re-mains a critical public health concern,with substantial variations across demogra-phics and countries.AIM To analyze the burden of MD i...BACKGROUND The burden of mental disorders(MD)in the Western Pacific Region(WPR)re-mains a critical public health concern,with substantial variations across demogra-phics and countries.AIM To analyze the burden of MD in the WPR from 1990 to 2021,along with associated risk factors,to reveal changing trends and emerging challenges.METHODS We used data from the Global Burden of Disease 2021,analyzing prevalence,incidence,and disability-adjusted life years(DALYs)of MD from 1990 to 2021.Statistical methods included age-standardisation and uncertainty analysis to address variations in population structure and data completeness.RESULTS Between 1990 and 2021,the prevalence of MD rose from 174.40 million cases[95%uncertainty interval(UI):160.17-189.84]to 234.90 million cases(95%UI:219.04-252.50),with corresponding DALYs increasing from 22.8 million(95%UI:17.22-28.79)to 32.07 million(95%UI:24.50-40.68).During this period,the burden of MD shifted towards older age groups.Depressive and anxiety disorders were predominant,with females showing higher DALYs for depressive and anxiety disorders,and males more affected by conduct disorders,attention-deficit hyperactivity disorder,and autism spectrum disorders.Australia,New Zealand,and Malaysia reported the highest burdens,whereas Vietnam,China,and Brunei Darussalam reported the lowest.Additionally,childhood sexual abuse and bullying,and intimate partner violence emerged as significant risk factors.CONCLUSION This study highlights the significant burden of MD in the WPR,with variations by age,gender,and nation.The coronavirus disease 2019 pandemic has exacerbated the situation,emphasizing the need for a coordinated response.展开更多
Objective: This study assessed the effects of consuming acetic acid bacteria (Gluconacetobacter hansenii GK-1) for 12 weeks on fatigue induced by temporary mental stress. Methods: This randomized, double-blind, placeb...Objective: This study assessed the effects of consuming acetic acid bacteria (Gluconacetobacter hansenii GK-1) for 12 weeks on fatigue induced by temporary mental stress. Methods: This randomized, double-blind, placebo-controlled, parallel-group study included 100 healthy male and female adults aged 20 - 64 years. Participants consumed either the G. hansenii GK-1 supplement (9 × 10⁹ cells/day) or a placebo daily for 12 weeks. The impact of temporary mental stress on fatigue in G. hansenii GK-1 was assessed using a Visual Analog Scale (VAS) before the study began and after 12 weeks of supplementation. Results: Subjective fatigue measured by Visual Analog Scale (VAS) showed a significant decrease in fatigue induced by temporary mental stress after 12 weeks of consumption in the G. hansenii GK-1 group compared with the placebo group. No adverse events were attributed to G. hansenii GK-1. These findings confirm that continuous oral ingestion of G. hansenii GK-1 by healthy Japanese adults reduces feelings of fatigue caused by temporary mental stress.展开更多
BACKGROUND Given their responsibility for the well-being of individuals,nurses with advanced mental health literacy,along with strong holistic nursing competencies and professional self-efficacy,are better equipped to...BACKGROUND Given their responsibility for the well-being of individuals,nurses with advanced mental health literacy,along with strong holistic nursing competencies and professional self-efficacy,are better equipped to assess both the mental and physical health of their patients,leading to the provision of holistic nursing care.AIM To investigate the relationship between nurses’mental health literacy levels and their holistic nursing competencies,as well as their nursing professional selfefficacy.METHODS This study is cross-sectional,correlational research.The study sample consisted of a total of 261 volunteer nurses working in a training and research hospital and a state hospital between March 11,2024 and April 8,2024.Data were collected face to face with the“Descriptive Data Form”,“Mental Health Literacy Scale(MHLS)”,“Holistic Nursing Competence Scale(HNCS)”,and the“Nursing Profession Self-Efficacy Scale(NPSES)”.RESULTS The mean scale scores for the nurses were as follows:MHLS:95.88±11.67;HNCS:179.46±33.82;NPSES:64.79±11.24.A low-level positive correlation was found between the total scores of the MHLS,HNCS,and NPSES,and a moderate-level positive correlation was observed between the total scores of the HNCS and NPSES.These correlations were statistically significant(P<0.05).CONCLUSION It is recommended that initiatives be undertaken to enhance the mental health literacy and holistic nursing competencies of nurses and that similar studies be conducted with nurses in different institutions and with a larger number of nurses.展开更多
[Objectives]To explore the mediating effect of social support between depression and resilience in elderly patients with first-episode stroke.[Methods]The general information questionnaire,PHQ-9 depression screening s...[Objectives]To explore the mediating effect of social support between depression and resilience in elderly patients with first-episode stroke.[Methods]The general information questionnaire,PHQ-9 depression screening scale,Social Support Rating scale and Connor-Davidson Resilience Scale were used to construct and test the mediation model.[Results]The total score of depressive symptoms was(8.64±3.28)points,the detection rate of depressive symptoms was 51.65%,the score of social support was(37.28±5.98)points,and the score of psychological resilience was(22.05±5.25)points.The resilience of patients was positively correlated with social support(r=0.470,P<0.01),and negatively correlated with depressive symptoms(r=-0.470,P<0.01).Social support was negatively correlated with depressive symptoms(r=-0.523,P<0.01).Social support played a partial mediating role between depression and resilience in elderly patients with first-episode stroke,and the mediating effect accounted for 16.1%of the total effect.[Conclusions]Social support can mediate the effect of depression on resilience in elderly patients with first-episode stroke.Medical staff can improve patients'psychological resilience by psychological counseling of depression and improving their social support,so as to promote their subjective well-being and maintain a healthy and positive mental state.展开更多
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].
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 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.
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.
文摘Background:Employment can support the recovery of individuals with Severe Mental Disorders by promoting autonomy,reducing hospital admissions and associated costs,fostering social connections,and providing structure to their daily lives.The objective of this pilot study was to analyse job satisfaction and perceived social support in people with severe mental disorders who are users of an Employment Guidance and Support Service in southern Spain.Methods:A descriptive cross-sectional pilot study was carried out with a sample of 39 workers with mental disorders from the province of Huelva(southern Spain)who were users of the Employment Guidance and Support Service of the Regional Government of Andalusia(Spain).Perceived Organisational Support was assessed with the Spanish short version of the Survey of Perceived Organizational Support and the S10/12 Job Satisfaction Questionnaire.Results:As findings,87.2%of the sample reported high levels of job satisfaction,and 61.5%of the subjects surveyed perceived high levels of support.Regarding the variable Perceived Support,84%of workers from ordinary companies and 50%of those from Special Employment Centres(SECs)considered that they had sufficient support.There was a positive correlation between support and satisfaction(Spearman’s Rho=0.423).Conclusion:The results suggest a positive relationship between support and satisfaction,warranting further longitudinal research with larger samples.This pilot study provides preliminary insights into the relationship between perceived organizational support and job satisfaction among workers with severe mental disorders.
文摘Tuberculous meningitis(TBM),which accounts for 1%-5%of global tuberculosis cases,is a severe neurological infection with a mortality rate of 30%-50%.Its high fatality and disability rates disproportionately affect low-and middle-income regions(e.g.,sub-Saharan Africa and Southeast Asia),threatening the lives of patients and imposing significant psychosocial burdens.Recent studies have highlighted the crucial role of psychosocial factors,including socioeconomic status,disease severity,and social support systems in recovery.However,research gaps persist in developing TBM-specific psychosocial interventions.This narrative review summarizes and organizes the key findings of observational studies,cohort studies,and intervention trials published between 2015 and 2024.Databases including PubMed,Scopus,and Web of Science were searched for terms related to TBM,psychosocial risk factors and mental health interventions.Studies were screened for relevance and quality,focusing on those that examined the psychological and social determinants of mental health outcomes in patients with TBM.
基金supported by the Bio&Medical Technology Development Program of the National Research Foundation(NRF)&funded by the Korean government(MSIT)(NRF-2021M3A9E4080780)Hankuk University of Foreign Studies(2024).
文摘Objectives:Recent research has shown that college students experience high levels of stress from various sources,which contribute to heightened rates of psychological distress and make them particularly vulnerable to mental health issues.Hence,we conducted a study,aimed to analyze the influence of a mobile-based walking routine on mental health outcomes,such as perceived stress and positive and negative affect.Methods:The participants were divided into two groups:the walking group(N=23)and the control group(N=24).The walking group engaged in an approximately 25-min walking session for at least 3 days per week,which was carefully monitored and facilitated with the help of the Nike Run Club application.The statistical analysis of the quantitative data was carried out with the help of SPSS 25.0.In addition to calculating descriptive statistics,we conducted an independent samples t-test,a repeated-measures ANOVA,and a paired sample t-test to analyze the effectiveness of the intervention.Results:A repeated-measures ANOVA revealed that the walking group exhibited significant reductions in perceived stress(t=2.03,p=0.049,Cohen’s D=0.60)and negative affect(t=2.19,p=0.033,Cohen’s D=0.65)after the intervention,whereas the control group showed no significant changes across time in any of the proposed variables.Conclusion:The results of the study continue to be indicative of the positive effects of regular walking on perceived stress and negative affect,preserving its role as a straightforward and accessible tool for reducing stress and negative affect.
文摘An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnostic and treatment tactics are needed.Digital tools and technology are helping solve these problems by providing scalable,tailored solutions for large populations.This detailed review examines mental health‐promoting internet tools.Smartphone applications,web‐based therapy systems,wearable tech,artificial intelligence‐powered resources,and virtual reality(VR)technologies were evaluated for efficacy and side effects.PubMed,PsycINFO,Scopus,IEEE Xplore,and Google Scholar were carefully searched.Search terms included“digital mental health tools,”“online therapy,”and“AI in mental health.”Randomized controlled trials,cohort studies,cross‐sectional studies,systematic reviews,and meta‐analyses of digital technology and mental health were included from among the literature published after 2010.Cognitive behavioral therapy methods,mood monitoring,and mindfulness exercises are among the numerous features of smartphone applications that have been demonstrated to mitigate symptoms of anxiety,depression,and tension.Online therapy platforms let marginalized individuals obtain therapy remotely.Wearable technology may detect heart rate,blood pressure,and sleep length,which may reveal mental health difficulties.Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention.Exposure therapy for anxiety and trauma is increasingly using virtual reality environments.Although digital mental health therapies face challenges in relation to data privacy,limited long‐term efficacy,and technological inequality,digital technologies are modernizing mental healthcare.By offering inexpensive and effective alternatives to traditional therapies,digital technologies may help healthcare systems meet the growing demand for mental health services and overall well‐being.
文摘Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing trend.This aims to alleviate the workload on healthcare professionals and aid individuals.Numerous applications have been developed to support the challenges in intelligent healthcare systems.However,because mental health data is sensitive,privacy concerns have emerged.Federated learning has gotten some attention.This research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare systems.It explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health applications.This research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security concerns.The survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.
文摘Objective This study aimed to analyse the trend of the mental disorder spectrum in children and adolescents from 2014 to 2022 in one city in Central China and to provide actionable recommendations for the prevention and management of mental disorders.Methods In this hospital-based retrospective study,we utilized child and adolescent medical records data from the Wuhan Mental Health Center from January 2014 to December 2022 and examined the top 5 mental disorders(schizophrenia,depressive episode,bipolar disorder,pervasive developmental disorder,and unspecified mood disorder)that accounted for the overall proportion of patients admitted.The rank and proportion of these mental disorders,demographic characteristics and disease indicators were analysed.Results There was a significant upwards trend in the number of children and adolescents diagnosed with mental disorders over the past 9 years,with a sharp decline in 2020 due to the COVID-19 pandemic,followed by a rebound in 2021 and a sustained level above prepandemic figures by 2022.The average age of hospitalization decreased significantly from 20.7 to 16.2 years,with a marked increase in the 12-17-year-old age group.The proportion of female hospitalizations increased from 39.2%to 55.2%,with a corresponding decrease in male hospitalizations.There was a notable decrease in the proportion of schizophrenia cases and an ascent of depressive episode to the most prevalent position.Conclusion This study emphasizes the critical need for targeted interventions and resources for severe mental disorders in children and adolescents and the importance of early detection and management of mental disorders to mitigate long-term effects on well-being and development.
文摘Emergency department nurses face severe occupational stress leading to anxiety,depression,and burnout,which significantly impair their well-being and patientcare quality.This narrative review examined the role of mindfulness-based stress reduction(MBSR)in addressing these challenges.Rooted in nonjudgmental present-moment awareness,MBSR enhances emotional regulation and reduces psychological distress by fostering adaptive coping strategies.Studies have demonstrated its efficacy in lowering anxiety,depressive symptoms,and emotional exhaustion,while improving workplace well-being,empathy,and job satisfaction.Mechanistically,MBSR improves interoceptive awareness and autonomic balance,as evidenced by physiological markers such as heart rate variability.However,gaps remain in long-term efficacy assessments,personalized interventions,and integration with multidisciplinary approaches.Future research should prioritize tailored biomarker-driven programs,longitudinal studies,and scalable implementation strategies in high-stress clinical settings.This review underscores MBSR’s potential as a sustainable,evidence-based tool to enhance emergency department nurses’mental health and professional performance,advocating for broader adoption and further refinement of its practical applications.
文摘Several articles on the mental health impact of the metaverse and the need to balance its potential benefits with the risks of metaverse use has recently published.The metaverse consists of a combination of immersive technologies and artificial intelligence algorithms.The metaverse differs from the preceding digital psychiatric interventions due to its complex structure and interactions between components.The diverse functions of the metaverse ensure that it may have a substantial impact on mental health.However,the evidence for its efficacy in treating mental health disorders is limited to a few trials.The mental health benefits of immersive technologies are well-documented and suggest that metaverse-based psychiatric treatment may be similarly efficacious.The mental health risks of the metaverse are largely unknown,and it is not clear whether they will be greater than other digital psychiatric interventions.Much more research is needed to determine whether metaverse-based psychiatric treatment will meet the standards of appropriate mental healthcare.
文摘In this editorial,I comment on the article by Zhang et al.To emphasize the importance of the topic,I discuss the relationship between the use of smart medical devices and mental health.Smart medical services have the potential to positively influence mental health by providing monitoring,insights,and inter-ventions.However,they also come with challenges that need to be addressed.Understanding the primary purpose for which individuals use these smart tech-nologies is essential to tailoring them to specific mental health needs and prefe-rences.
文摘BACKGROUND Revisiting the epidemiology of posttraumatic stress symptoms(PTSSs)among university students during the coronavirus disease 2019(COVID-19)pandemic as well as understanding the mental health help-seeking behavior of individuals with PTSSs has critical implications for public mental health strategies in future medical pandemics.AIM To investigate the prevalence and correlates of PTSSs among university students during the first wave of the COVID-19 pandemic in China and to examine mental health help-seeking behaviors among these students.METHODS A total of 2507 Chinese university students were recruited via snowball sampling.The students completed the Seven-item Screening Scale for Post-traumatic Stress Disorder during the first wave of the COVID-19 pandemic in China.Sociodemo-graphic characteristics,pandemic-related characteristics,and mental health help-seeking behaviors of students with PTSSs were also collected.RESULTS The prevalence of PTSSs among the participants was 28.0%.Seven significant correlates of PTSSs were identified(odds ratio=1.23-3.65,P≤0.024):Female sex,being 19 years old or older,living with others or alone,a low level of family economic status,fair or poor interpersonal relationships,severe or very severe local pandemic,and having family members diagnosed with COVID-19.However,only 3.28%of the students with PTSSs reported seeking help from mental health specialists.Among the 23 students who sought help from mental health specialists,13 opted for online or telephone-based psychological consultation.CONCLUSION Our data suggest that there was a high risk of PTSSs among university students and a high level of unmet mental health needs during the COVID-19 pandemic.The delivery of mental health services online or via telephone is a promising approach to address these unmet needs.
基金Supported by National Key Research and Development Program of China,No.2022YFC3600903Key Discipline Project under Shanghai's Three-Year Action Plan for Strengthening the Public Health System(2023-2025),No.GWVI-11.1-44.
文摘BACKGROUND The burden of mental disorders(MD)in the Western Pacific Region(WPR)re-mains a critical public health concern,with substantial variations across demogra-phics and countries.AIM To analyze the burden of MD in the WPR from 1990 to 2021,along with associated risk factors,to reveal changing trends and emerging challenges.METHODS We used data from the Global Burden of Disease 2021,analyzing prevalence,incidence,and disability-adjusted life years(DALYs)of MD from 1990 to 2021.Statistical methods included age-standardisation and uncertainty analysis to address variations in population structure and data completeness.RESULTS Between 1990 and 2021,the prevalence of MD rose from 174.40 million cases[95%uncertainty interval(UI):160.17-189.84]to 234.90 million cases(95%UI:219.04-252.50),with corresponding DALYs increasing from 22.8 million(95%UI:17.22-28.79)to 32.07 million(95%UI:24.50-40.68).During this period,the burden of MD shifted towards older age groups.Depressive and anxiety disorders were predominant,with females showing higher DALYs for depressive and anxiety disorders,and males more affected by conduct disorders,attention-deficit hyperactivity disorder,and autism spectrum disorders.Australia,New Zealand,and Malaysia reported the highest burdens,whereas Vietnam,China,and Brunei Darussalam reported the lowest.Additionally,childhood sexual abuse and bullying,and intimate partner violence emerged as significant risk factors.CONCLUSION This study highlights the significant burden of MD in the WPR,with variations by age,gender,and nation.The coronavirus disease 2019 pandemic has exacerbated the situation,emphasizing the need for a coordinated response.
文摘Objective: This study assessed the effects of consuming acetic acid bacteria (Gluconacetobacter hansenii GK-1) for 12 weeks on fatigue induced by temporary mental stress. Methods: This randomized, double-blind, placebo-controlled, parallel-group study included 100 healthy male and female adults aged 20 - 64 years. Participants consumed either the G. hansenii GK-1 supplement (9 × 10⁹ cells/day) or a placebo daily for 12 weeks. The impact of temporary mental stress on fatigue in G. hansenii GK-1 was assessed using a Visual Analog Scale (VAS) before the study began and after 12 weeks of supplementation. Results: Subjective fatigue measured by Visual Analog Scale (VAS) showed a significant decrease in fatigue induced by temporary mental stress after 12 weeks of consumption in the G. hansenii GK-1 group compared with the placebo group. No adverse events were attributed to G. hansenii GK-1. These findings confirm that continuous oral ingestion of G. hansenii GK-1 by healthy Japanese adults reduces feelings of fatigue caused by temporary mental stress.
文摘BACKGROUND Given their responsibility for the well-being of individuals,nurses with advanced mental health literacy,along with strong holistic nursing competencies and professional self-efficacy,are better equipped to assess both the mental and physical health of their patients,leading to the provision of holistic nursing care.AIM To investigate the relationship between nurses’mental health literacy levels and their holistic nursing competencies,as well as their nursing professional selfefficacy.METHODS This study is cross-sectional,correlational research.The study sample consisted of a total of 261 volunteer nurses working in a training and research hospital and a state hospital between March 11,2024 and April 8,2024.Data were collected face to face with the“Descriptive Data Form”,“Mental Health Literacy Scale(MHLS)”,“Holistic Nursing Competence Scale(HNCS)”,and the“Nursing Profession Self-Efficacy Scale(NPSES)”.RESULTS The mean scale scores for the nurses were as follows:MHLS:95.88±11.67;HNCS:179.46±33.82;NPSES:64.79±11.24.A low-level positive correlation was found between the total scores of the MHLS,HNCS,and NPSES,and a moderate-level positive correlation was observed between the total scores of the HNCS and NPSES.These correlations were statistically significant(P<0.05).CONCLUSION It is recommended that initiatives be undertaken to enhance the mental health literacy and holistic nursing competencies of nurses and that similar studies be conducted with nurses in different institutions and with a larger number of nurses.
基金Supported by the National Natural Science Foundation of China(71774049).
文摘[Objectives]To explore the mediating effect of social support between depression and resilience in elderly patients with first-episode stroke.[Methods]The general information questionnaire,PHQ-9 depression screening scale,Social Support Rating scale and Connor-Davidson Resilience Scale were used to construct and test the mediation model.[Results]The total score of depressive symptoms was(8.64±3.28)points,the detection rate of depressive symptoms was 51.65%,the score of social support was(37.28±5.98)points,and the score of psychological resilience was(22.05±5.25)points.The resilience of patients was positively correlated with social support(r=0.470,P<0.01),and negatively correlated with depressive symptoms(r=-0.470,P<0.01).Social support was negatively correlated with depressive symptoms(r=-0.523,P<0.01).Social support played a partial mediating role between depression and resilience in elderly patients with first-episode stroke,and the mediating effect accounted for 16.1%of the total effect.[Conclusions]Social support can mediate the effect of depression on resilience in elderly patients with first-episode stroke.Medical staff can improve patients'psychological resilience by psychological counseling of depression and improving their social support,so as to promote their subjective well-being and maintain a healthy and positive mental state.
