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
In this editorial,we comment on the study of the Yu et al on psychological distress in patients with hepatobiliary and pancreatic malignancies.Hepatobiliary and pancreatic malignancies include hepatocellular carcinoma...In this editorial,we comment on the study of the Yu et al on psychological distress in patients with hepatobiliary and pancreatic malignancies.Hepatobiliary and pancreatic malignancies include hepatocellular carcinoma,cholangiocarcinoma,gallbladder cancer and pancreatic cancer.These cancers are among the most aggressive and difficult to treat.Although improvements in surgery,drug treatments and palliative care have led to better survival rates and quality of life,the significant psychological impact on patients remains underrecognized.Anxiety and depression are prevalent at every stage of the disease,from the initial diagnosis to treatment,recurrence and end-of-life care.However,these issues often take a backseat to the urgent need to manage physical symptoms.Mental health challenges can greatly affect how well patients follow treatment plans,recover and their overall outlook.Yu et al explore the causes of psychological distress in hepatobiliary and pancreatic cancers,including disease severity,symptom burden,financial stress and fears about life and death.We highlight the importance of regular mental health screenings,psychological support and teamwork in oncology care.By focusing on emotional health alongside physical treatment,doctors can build resilience,improve outcomes and address a frequently ignored aspect of cancer care.展开更多
With the transformation from websites to Internet platforms, Chinese young netizens (born in 1990-2005) have become key subjects in the evolution of cyber-nationalism. Based on survey data, this study classifies their...With the transformation from websites to Internet platforms, Chinese young netizens (born in 1990-2005) have become key subjects in the evolution of cyber-nationalism. Based on survey data, this study classifies their nationalism into four types and explores its transformation alongside globalization cognition. The result shows that moderate nationalism is the mainstream. This has raised their attention to globalization, with greater focus on relations between China and developing countries, and nations along the Belt and Road Initiative. Their personal experiences and cultural exposure foster a more inclusive global vision, shaping the evolution of nationalism and global dialogue.展开更多
Objectives:One of the most notable challenges in endoscopic procedures is maintaining correct orientation.Mental rotation exercise(MRE)has been suggested as a potential aid for improving orientation.However,there is a...Objectives:One of the most notable challenges in endoscopic procedures is maintaining correct orientation.Mental rotation exercise(MRE)has been suggested as a potential aid for improving orientation.However,there is a lack of research on designing MREs with varying difficultylevels for training purposes.Furthermore,few studies provide solid evidence linking MRE difficultylevels with cognitive load measurements.This study aims to address this gap by investigating the correlation between the MRE difficultylevels and participants’cognitive load,as measured by pupil dilation.Method:We recruited 33 participants to perform MREs on a computer equipped with a screen-mounted eye-tracker.The test consisted of 15 MREs,with the first10 relatively easy(traditional cube)and the next 5 more complex(invented molecule).The participants’eye movements during MREs were recorded.The participants’MRE scores and pupil dilation were obtained and compared between two MRE difficultylevels.Results:The participants who performed traditional cube MREs achieved significantlybetter MRE scores(0.77±0.11 vs.0.58±0.03,p<0.001)and lower pupil dilation(0.27±0.04 pixels vs.0.47±0.09 pixels,p<0.001)than did those who performed the invented molecule MREs.Moreover,there were significant negative correlations(r=0.62,p=0.015)between pupil dilation and MRE scores.Conclusions:The results revealed a significantnegative correlation between MRE scores and pupil dilation.The more challenging MRE questions led to worse MRE scores but increased pupil dilation.The MRE difficultylevels can be evaluated not only by the degrees or dimensions with which the objects were rotated but also by the participants’MRE scores and pupil dilation.The results of this study provide a basis for training orientation skills in endoscopy using MREs.By incorporating MREs with varying difficultylevels,customized training programs can be developed to enhance camera navigation in endoscopic and laparoscopic procedures.展开更多
Objectives:24-h movement behaviors(24-HMB),encompassing physical activity,sedentary behavior,and sleep duration,are increasingly regarded as interrelated and important factors for mental health.However,evidence on the...Objectives:24-h movement behaviors(24-HMB),encompassing physical activity,sedentary behavior,and sleep duration,are increasingly regarded as interrelated and important factors for mental health.However,evidence on the comprehensive association of these behaviors with mental health in adults with diabetes in developing countries remains scarce.This study examined the association between 24-HMB guidelines and psychological health among adults with diabetes in developing countries.Methods:Data were retrieved from the World Health Organization’s study on Global Aging and Adult Health Survey dataset.Adults(N=1905)diagnosed with diabetes from five low-and middle-income countries were included.The exposure of interest was adherence to 24-HMB guidelines,depression,cognition,and quality of life(QoL).Multiple logistic and multiple linear regression analyses were used to examine the association between meeting 24-HMB guidelines and depression,cognition,and QoL,respectively.Results:This cross-sectional study revealed that 28.61%complied with all three 24-HMB guidelines.Diabetic patients who met more numbers of 24-HMB guidelines had lower depression risk(OR=0.74,95%CI:0.61 to 0.91,p=0.004),greater cognition(β=0.42,95%CI:0.25 to 0.60,p<0.001),and QoL(β=1.30,95%CI:1.04 to 1.55,p<0.001)with the non-compliant population.For specific combinations,meeting all three guidelines were significantly associated with lower odds of depression,improved cognitive function,and enhanced QoL(all p<0.001).Conclusion:These findings support that meeting 24-HMB guidelines in a single or combined movement behaviors was significantly related to reduced risk of depression,enhanced cognitive function,and improved QoL among individuals with diabetes.展开更多
[Objectives]To investigate the potential causal relationship between psoriasis and common mental disorders,and to provide genetic epidemiological evidence for the early intervention of mental comorbidities.[Methods]Ba...[Objectives]To investigate the potential causal relationship between psoriasis and common mental disorders,and to provide genetic epidemiological evidence for the early intervention of mental comorbidities.[Methods]Based on publicly available large-scale GWAS data,a bidirectional Mendelian randomization(MR)approach was employed to assess the causal associations between psoriasis and major depressive disorder(MDD),bipolar disorder,schizophrenia,and anxiety disorders.The inverse variance weighted(IVW)method served as the primary analytical tool,supplemented by sensitivity analyses using MR-Egger and weighted median methods.Additionally,a subgroup analysis was conducted for psoriatic arthritis(PsA).[Results]Forward MR analysis revealed a significant positive causal association between the genetic predisposition to psoriasis and bipolar disorder as well as MDD,whereas no significant causal relationship was observed with schizophrenia or anxiety disorders.The reverse MR analysis found no causal effect of mental disorders on psoriasis.Subgroup analysis of PsA indicated that its genetic predisposition was significantly associated with the risk of bipolar disorder.The results of various sensitivity analyses and pleiotropy tests supported the robustness of the conclusions.[Conclusions]This study provides genetic evidence supporting a causal link between psoriasis and both MDD and bipolar disorder.In particular,patients with PsA are at a higher risk of developing bipolar disorder,highlighting the need to strengthen early screening and intervention for mental health in clinical management.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
The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress g...The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress groups.This study examines the comparative effects of outdoor forest meditation(OFM)and indoor nature meditation(INM)in simulated nature environments(SNEs)on the physiological and psychological health of university students.A pretestposttest repeated measures design was employed,with 40students participating in three replicated OFM sessions and three identical INM sessions across varied SNE settings.Key physiological metrics,including heart rate(HR),blood pressure(BP),and salivary amylase concentration(SAC),were measured before and after each session.Psychological well-being was assessed using the Perceived Stress Scale-10(PSS-10)and Profile of Mood States(POMS).Results revealed significant reductions(p<0.05)in most post-intervention outcomes,except in the second indoor session across physiologic al and psychologic al responses,while multi-sensory INM sessions produced comparable benefits.Notably,SNEs with enhanced sensory components were effective,though slightly less impactful than OFM.These findings suggest that both OFM in nature and INM in SNEs can benefit university students'well-being.INM in SNEs offers a promising alternative for those with limited access to natural settings,contributing meaningfully to stress reduction and overall well-being.This study highlights the potential for nature-based strategies for human health in urban centres,advocating for further investigation into the long-term impacts of SNEs and optimal sensory configurations for maximizing therapeutic effects in urban populations.展开更多
Background:Depression is prevalent among female college students,with eating behavior potentially related to this issue.This study examines the relationship between eating behavior and depression,focusing on the role ...Background:Depression is prevalent among female college students,with eating behavior potentially related to this issue.This study examines the relationship between eating behavior and depression,focusing on the role of social appearance anxiety and physical activity.Methods:We recruited 2161 female college students from nine universities in China via convenience sampling.Data was collected via an online questionnaire.Eating behavior was assessed via the Eating Behavior Scale short form(EBS-SF),depression was measured via the Center for Epidemiological Studies Depression Scale(CES-D),social appearance anxiety was evaluated via the Social Appearance Anxiety Scale,and physical activity was assessed via a single-item question.Descriptive statistics were analyzed via SPSS 26.0,and moderated mediation analysis was conducted via PROCESS version 3.5.Results:Unhealthy eating behavior was significantly associated with higher levels of depression(β=0.285,p<0.001).Social appearance anxiety mediated this relationship,accounting for 46%of the total effect(β=0.132,95%CI=[0.108,0.158]).The interaction effect between eating behavior and physical activity was significantly and negatively correlated with depression(β=−0.052,p<0.01).The association between eating behavior and depression was stronger under conditions of low physical activity(β=0.210,p<0.001)than under conditions of high physical activity(β=0.105,p<0.001).Conclusions:Integrating nutritional guidance,body image acceptance training,and exercise promotion into campus mental health programs is crucial for addressing depression in female college students.Future research should use longitudinal designs and broader participant ranges to increase the general applicability of the findings.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
Mental-health risk detection seeks early signs of distress from social media posts and clinical transcripts to enable timely intervention before crises.When such risks go undetected,consequences can escalate to self-h...Mental-health risk detection seeks early signs of distress from social media posts and clinical transcripts to enable timely intervention before crises.When such risks go undetected,consequences can escalate to self-harm,long-term disability,reduced productivity,and significant societal and economic burden.Despite recent advances,detecting risk from online text remains challenging due to heterogeneous language,evolving semantics,and the sequential emergence of new datasets.Effective solutions must encode clinically meaningful cues,reason about causal relations,and adapt to new domains without forgetting prior knowledge.To address these challenges,this paper presents a Continual Neuro-Symbolic Graph Learning(CNSGL)framework that unifies symbolic reasoning,causal inference,and continual learning within a single architecture.Each post is represented as a symbolic graph linking clinically relevant tags to textual content,enriched with causal edges derived from directional Point-wise Mutual Information(PMI).A two-layer Graph Convolutional Network(GCN)encodes these graphs,and a Transformer-based attention pooler aggregates node embeddings while providing interpretable tag-level importances.Continual adaptation across datasets is achieved through the Multi-Head Freeze(MH-Freeze)strategy,which freezes a shared encoder and incrementally trains lightweight task-specific heads(small classifiers attached to the shared embedding).Experimental evaluations across six diverse mental-health datasets ranging from Reddit discourse to clinical interviews,demonstrate that MH-Freeze consistently outperforms existing continual-learning baselines in both discriminative accuracy and calibration reliability.Across six datasets,MH-Freeze achieves up to 0.925 accuracy and 0.923 F1-Score,with AUPRC≥0.934 and AUROC≥0.942,consistently surpassing all continual-learning baselines.The results confirm the framework’s ability to preserve prior knowledge,adapt to domain shifts,and maintain causal interpretability,establishing CNSGL as a promising step toward robust,explainable,and lifelong mental-health risk assessment.展开更多
BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emoti...BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emotional states is imperative.AIM To evaluate the efficacy of cognitive behavioral therapy(CBT)-based psychological interventions in improving the psychological well-being and quality of life(QoL)of patients with laryngeal carcinoma.METHODS This study enrolled 120 patients admitted from February 2022 to February 2024.The control group,comprising 50 participants,received standard supportive psychological care,while the research group,consisting 70 participants,underwent CBT-based interventions.Several clinical outcomes were systematically assessed that included postoperative recovery metrics(duration of tracheostomy and nasogastric tube dependence and length of hospitalization),psychological status(Self-Rating Anxiety Scale and Self-Rating Depression Scale),nutritional markers(serum albumin and hemoglobin levels),sleep quality(Self-Rating Scale of Sleep and Athens Insomnia Scale),and QoL(Functional Assessment of Cancer Therapy-Head and Neck).RESULTS The results demonstrated that the research group experienced superior outcomes,with significantly reduced durations of tracheostomy and nasogastric tube dependence,as well as shorter hospital stays,compared with the control group.Additionally,the research group exhibited markedly lower post-intervention Self-Rating Anxiety Scale,Self-Rating Depression Scale,Self-Rating Scale of Sleep,and Athens Insomnia Scale scores,along with minimal but higher change in serum albumin and hemoglobin levels compared with the control group.All five domains of Functional Assessment of Cancer Therapy-Head and Neck showed notable improvements in the research group,exceeding those observed in the control group.CONCLUSION CBT-based psychological support positively affects the mental well-being and QoL of patients with laryngeal carcinoma,highlighting its potential for broader clinical application.展开更多
Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve thro...Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve throughout the disease course.This review examined 95 studies(2000-2025)from PubMed,Web of Science,and CNKI databases including longitudinal cohorts,randomized controlled trials,and mixed-methods research,to characterize the complex interplay between biological,psychological,and social factors affecting RA patients’mental health.Findings revealed three distinct vulnerability trajectories(45%persistently low,30%fluctuating improvement,25%persistently high)and four adaptation stages,with critical intervention periods occurring 3-6 months postdiagnosis and during disease flares.Multiple factors significantly influence psychological outcomes,including gender(females showing 1.8-fold increased risk),age(younger patients experiencing 42%higher vulnerability),pain intensity,inflammatory markers,and neuroendocrine dysregulation(48%showing cortisol rhythm disruption).Early psychological intervention(within 3 months of diagnosis)demonstrated robust benefits,reducing depression incidence by 42%with effects persisting 24-36 months,while different modalities showed complementary advantages:Cognitive behavioral therapy for depression(Cohen’s d=0.68),mindfulness for pain acceptance(38%improvement),and peer support for meaning reconstruction(25.6%increase).These findings underscore the importance of integrating routine psychological assessment into standard RA care,developing stage-appropriate interventions,and advancing research toward personalized biopsychosocial approaches that address the dynamic psychological dimensions of the disease.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
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
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In this editorial,we comment on the study of the Yu et al on psychological distress in patients with hepatobiliary and pancreatic malignancies.Hepatobiliary and pancreatic malignancies include hepatocellular carcinoma,cholangiocarcinoma,gallbladder cancer and pancreatic cancer.These cancers are among the most aggressive and difficult to treat.Although improvements in surgery,drug treatments and palliative care have led to better survival rates and quality of life,the significant psychological impact on patients remains underrecognized.Anxiety and depression are prevalent at every stage of the disease,from the initial diagnosis to treatment,recurrence and end-of-life care.However,these issues often take a backseat to the urgent need to manage physical symptoms.Mental health challenges can greatly affect how well patients follow treatment plans,recover and their overall outlook.Yu et al explore the causes of psychological distress in hepatobiliary and pancreatic cancers,including disease severity,symptom burden,financial stress and fears about life and death.We highlight the importance of regular mental health screenings,psychological support and teamwork in oncology care.By focusing on emotional health alongside physical treatment,doctors can build resilience,improve outcomes and address a frequently ignored aspect of cancer care.
文摘With the transformation from websites to Internet platforms, Chinese young netizens (born in 1990-2005) have become key subjects in the evolution of cyber-nationalism. Based on survey data, this study classifies their nationalism into four types and explores its transformation alongside globalization cognition. The result shows that moderate nationalism is the mainstream. This has raised their attention to globalization, with greater focus on relations between China and developing countries, and nations along the Belt and Road Initiative. Their personal experiences and cultural exposure foster a more inclusive global vision, shaping the evolution of nationalism and global dialogue.
文摘Objectives:One of the most notable challenges in endoscopic procedures is maintaining correct orientation.Mental rotation exercise(MRE)has been suggested as a potential aid for improving orientation.However,there is a lack of research on designing MREs with varying difficultylevels for training purposes.Furthermore,few studies provide solid evidence linking MRE difficultylevels with cognitive load measurements.This study aims to address this gap by investigating the correlation between the MRE difficultylevels and participants’cognitive load,as measured by pupil dilation.Method:We recruited 33 participants to perform MREs on a computer equipped with a screen-mounted eye-tracker.The test consisted of 15 MREs,with the first10 relatively easy(traditional cube)and the next 5 more complex(invented molecule).The participants’eye movements during MREs were recorded.The participants’MRE scores and pupil dilation were obtained and compared between two MRE difficultylevels.Results:The participants who performed traditional cube MREs achieved significantlybetter MRE scores(0.77±0.11 vs.0.58±0.03,p<0.001)and lower pupil dilation(0.27±0.04 pixels vs.0.47±0.09 pixels,p<0.001)than did those who performed the invented molecule MREs.Moreover,there were significant negative correlations(r=0.62,p=0.015)between pupil dilation and MRE scores.Conclusions:The results revealed a significantnegative correlation between MRE scores and pupil dilation.The more challenging MRE questions led to worse MRE scores but increased pupil dilation.The MRE difficultylevels can be evaluated not only by the degrees or dimensions with which the objects were rotated but also by the participants’MRE scores and pupil dilation.The results of this study provide a basis for training orientation skills in endoscopy using MREs.By incorporating MREs with varying difficultylevels,customized training programs can be developed to enhance camera navigation in endoscopic and laparoscopic procedures.
文摘Objectives:24-h movement behaviors(24-HMB),encompassing physical activity,sedentary behavior,and sleep duration,are increasingly regarded as interrelated and important factors for mental health.However,evidence on the comprehensive association of these behaviors with mental health in adults with diabetes in developing countries remains scarce.This study examined the association between 24-HMB guidelines and psychological health among adults with diabetes in developing countries.Methods:Data were retrieved from the World Health Organization’s study on Global Aging and Adult Health Survey dataset.Adults(N=1905)diagnosed with diabetes from five low-and middle-income countries were included.The exposure of interest was adherence to 24-HMB guidelines,depression,cognition,and quality of life(QoL).Multiple logistic and multiple linear regression analyses were used to examine the association between meeting 24-HMB guidelines and depression,cognition,and QoL,respectively.Results:This cross-sectional study revealed that 28.61%complied with all three 24-HMB guidelines.Diabetic patients who met more numbers of 24-HMB guidelines had lower depression risk(OR=0.74,95%CI:0.61 to 0.91,p=0.004),greater cognition(β=0.42,95%CI:0.25 to 0.60,p<0.001),and QoL(β=1.30,95%CI:1.04 to 1.55,p<0.001)with the non-compliant population.For specific combinations,meeting all three guidelines were significantly associated with lower odds of depression,improved cognitive function,and enhanced QoL(all p<0.001).Conclusion:These findings support that meeting 24-HMB guidelines in a single or combined movement behaviors was significantly related to reduced risk of depression,enhanced cognitive function,and improved QoL among individuals with diabetes.
文摘[Objectives]To investigate the potential causal relationship between psoriasis and common mental disorders,and to provide genetic epidemiological evidence for the early intervention of mental comorbidities.[Methods]Based on publicly available large-scale GWAS data,a bidirectional Mendelian randomization(MR)approach was employed to assess the causal associations between psoriasis and major depressive disorder(MDD),bipolar disorder,schizophrenia,and anxiety disorders.The inverse variance weighted(IVW)method served as the primary analytical tool,supplemented by sensitivity analyses using MR-Egger and weighted median methods.Additionally,a subgroup analysis was conducted for psoriatic arthritis(PsA).[Results]Forward MR analysis revealed a significant positive causal association between the genetic predisposition to psoriasis and bipolar disorder as well as MDD,whereas no significant causal relationship was observed with schizophrenia or anxiety disorders.The reverse MR analysis found no causal effect of mental disorders on psoriasis.Subgroup analysis of PsA indicated that its genetic predisposition was significantly associated with the risk of bipolar disorder.The results of various sensitivity analyses and pleiotropy tests supported the robustness of the conclusions.[Conclusions]This study provides genetic evidence supporting a causal link between psoriasis and both MDD and bipolar disorder.In particular,patients with PsA are at a higher risk of developing bipolar disorder,highlighting the need to strengthen early screening and intervention for mental health in clinical management.
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funded by UBC Forest and Human Wellbeing Research(Grant No.GR020223)。
文摘The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress groups.This study examines the comparative effects of outdoor forest meditation(OFM)and indoor nature meditation(INM)in simulated nature environments(SNEs)on the physiological and psychological health of university students.A pretestposttest repeated measures design was employed,with 40students participating in three replicated OFM sessions and three identical INM sessions across varied SNE settings.Key physiological metrics,including heart rate(HR),blood pressure(BP),and salivary amylase concentration(SAC),were measured before and after each session.Psychological well-being was assessed using the Perceived Stress Scale-10(PSS-10)and Profile of Mood States(POMS).Results revealed significant reductions(p<0.05)in most post-intervention outcomes,except in the second indoor session across physiologic al and psychologic al responses,while multi-sensory INM sessions produced comparable benefits.Notably,SNEs with enhanced sensory components were effective,though slightly less impactful than OFM.These findings suggest that both OFM in nature and INM in SNEs can benefit university students'well-being.INM in SNEs offers a promising alternative for those with limited access to natural settings,contributing meaningfully to stress reduction and overall well-being.This study highlights the potential for nature-based strategies for human health in urban centres,advocating for further investigation into the long-term impacts of SNEs and optimal sensory configurations for maximizing therapeutic effects in urban populations.
文摘Background:Depression is prevalent among female college students,with eating behavior potentially related to this issue.This study examines the relationship between eating behavior and depression,focusing on the role of social appearance anxiety and physical activity.Methods:We recruited 2161 female college students from nine universities in China via convenience sampling.Data was collected via an online questionnaire.Eating behavior was assessed via the Eating Behavior Scale short form(EBS-SF),depression was measured via the Center for Epidemiological Studies Depression Scale(CES-D),social appearance anxiety was evaluated via the Social Appearance Anxiety Scale,and physical activity was assessed via a single-item question.Descriptive statistics were analyzed via SPSS 26.0,and moderated mediation analysis was conducted via PROCESS version 3.5.Results:Unhealthy eating behavior was significantly associated with higher levels of depression(β=0.285,p<0.001).Social appearance anxiety mediated this relationship,accounting for 46%of the total effect(β=0.132,95%CI=[0.108,0.158]).The interaction effect between eating behavior and physical activity was significantly and negatively correlated with depression(β=−0.052,p<0.01).The association between eating behavior and depression was stronger under conditions of low physical activity(β=0.210,p<0.001)than under conditions of high physical activity(β=0.105,p<0.001).Conclusions:Integrating nutritional guidance,body image acceptance training,and exercise promotion into campus mental health programs is crucial for addressing depression in female college students.Future research should use longitudinal designs and broader participant ranges to increase the general applicability of the findings.
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.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00518960)in part by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00563192).
文摘Mental-health risk detection seeks early signs of distress from social media posts and clinical transcripts to enable timely intervention before crises.When such risks go undetected,consequences can escalate to self-harm,long-term disability,reduced productivity,and significant societal and economic burden.Despite recent advances,detecting risk from online text remains challenging due to heterogeneous language,evolving semantics,and the sequential emergence of new datasets.Effective solutions must encode clinically meaningful cues,reason about causal relations,and adapt to new domains without forgetting prior knowledge.To address these challenges,this paper presents a Continual Neuro-Symbolic Graph Learning(CNSGL)framework that unifies symbolic reasoning,causal inference,and continual learning within a single architecture.Each post is represented as a symbolic graph linking clinically relevant tags to textual content,enriched with causal edges derived from directional Point-wise Mutual Information(PMI).A two-layer Graph Convolutional Network(GCN)encodes these graphs,and a Transformer-based attention pooler aggregates node embeddings while providing interpretable tag-level importances.Continual adaptation across datasets is achieved through the Multi-Head Freeze(MH-Freeze)strategy,which freezes a shared encoder and incrementally trains lightweight task-specific heads(small classifiers attached to the shared embedding).Experimental evaluations across six diverse mental-health datasets ranging from Reddit discourse to clinical interviews,demonstrate that MH-Freeze consistently outperforms existing continual-learning baselines in both discriminative accuracy and calibration reliability.Across six datasets,MH-Freeze achieves up to 0.925 accuracy and 0.923 F1-Score,with AUPRC≥0.934 and AUROC≥0.942,consistently surpassing all continual-learning baselines.The results confirm the framework’s ability to preserve prior knowledge,adapt to domain shifts,and maintain causal interpretability,establishing CNSGL as a promising step toward robust,explainable,and lifelong mental-health risk assessment.
文摘BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emotional states is imperative.AIM To evaluate the efficacy of cognitive behavioral therapy(CBT)-based psychological interventions in improving the psychological well-being and quality of life(QoL)of patients with laryngeal carcinoma.METHODS This study enrolled 120 patients admitted from February 2022 to February 2024.The control group,comprising 50 participants,received standard supportive psychological care,while the research group,consisting 70 participants,underwent CBT-based interventions.Several clinical outcomes were systematically assessed that included postoperative recovery metrics(duration of tracheostomy and nasogastric tube dependence and length of hospitalization),psychological status(Self-Rating Anxiety Scale and Self-Rating Depression Scale),nutritional markers(serum albumin and hemoglobin levels),sleep quality(Self-Rating Scale of Sleep and Athens Insomnia Scale),and QoL(Functional Assessment of Cancer Therapy-Head and Neck).RESULTS The results demonstrated that the research group experienced superior outcomes,with significantly reduced durations of tracheostomy and nasogastric tube dependence,as well as shorter hospital stays,compared with the control group.Additionally,the research group exhibited markedly lower post-intervention Self-Rating Anxiety Scale,Self-Rating Depression Scale,Self-Rating Scale of Sleep,and Athens Insomnia Scale scores,along with minimal but higher change in serum albumin and hemoglobin levels compared with the control group.All five domains of Functional Assessment of Cancer Therapy-Head and Neck showed notable improvements in the research group,exceeding those observed in the control group.CONCLUSION CBT-based psychological support positively affects the mental well-being and QoL of patients with laryngeal carcinoma,highlighting its potential for broader clinical application.
基金Supported by Chongqing Health Commission and Chongqing Science and Technology Bureau,No.2023MSXM182。
文摘Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve throughout the disease course.This review examined 95 studies(2000-2025)from PubMed,Web of Science,and CNKI databases including longitudinal cohorts,randomized controlled trials,and mixed-methods research,to characterize the complex interplay between biological,psychological,and social factors affecting RA patients’mental health.Findings revealed three distinct vulnerability trajectories(45%persistently low,30%fluctuating improvement,25%persistently high)and four adaptation stages,with critical intervention periods occurring 3-6 months postdiagnosis and during disease flares.Multiple factors significantly influence psychological outcomes,including gender(females showing 1.8-fold increased risk),age(younger patients experiencing 42%higher vulnerability),pain intensity,inflammatory markers,and neuroendocrine dysregulation(48%showing cortisol rhythm disruption).Early psychological intervention(within 3 months of diagnosis)demonstrated robust benefits,reducing depression incidence by 42%with effects persisting 24-36 months,while different modalities showed complementary advantages:Cognitive behavioral therapy for depression(Cohen’s d=0.68),mindfulness for pain acceptance(38%improvement),and peer support for meaning reconstruction(25.6%increase).These findings underscore the importance of integrating routine psychological assessment into standard RA care,developing stage-appropriate interventions,and advancing research toward personalized biopsychosocial approaches that address the dynamic psychological dimensions of the disease.
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.
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.
