The transition to university life presents unique challenges,increasing the risk of mental health issues amongfirst-year students.This study evaluated the efficacy of an eight-week structured mental health education c...The transition to university life presents unique challenges,increasing the risk of mental health issues amongfirst-year students.This study evaluated the efficacy of an eight-week structured mental health education course in enhancing resilience amongfirst-year college students and reducing their stress levels.Utilizing a cluster-randomized controlled trial,a total of 509first-year students(age range 18–20 years)were allocated to either an intervention group receiving the mental health education course(n=252),or a control group with no intervention(n=257)over an 8 week period.They completed self-reported measures of resilience and perceived stress at baseline and post-intervention.The results from repeated measures analysis of variance(ANOVA)indicated significant group-by-time interactions were found for both resilience and perceived stress.Specifically,students in the intervention group showed significant increases in resilience and significant reductions in perceived stress,whereas the control group showed no significant changes.The brief eight-week mental health education course had efficacy enhancing resilience and reduces perceived stress amongfirst-year students.Thesefindings highlight the value of integrating such mental health education programs into university counseling and student development services,offering a practical approach to supportingfirst-year students’psychological adjustment and overall well-being.展开更多
The“Double First-Class”construction focuses on the development of disciplinary connotations and the improvement of talent cultivation quality,posing higher demands on the teaching mode and talent supply of public he...The“Double First-Class”construction focuses on the development of disciplinary connotations and the improvement of talent cultivation quality,posing higher demands on the teaching mode and talent supply of public health and preventive medicine disciplines.Environmental health,as a core course in public health and preventive medicine,directly relates to the cultivation of effective composite public health talents.Based on the core orientation of the“Double First-Class”construction and combining the talent cultivation and course characteristics of environmental health,this paper explores the significance of teaching reform and talent cultivation in environmental health from the perspective of“Double First-Class”construction.It also investigates the paths for teaching reform and talent cultivation from multiple dimensions,aiming to provide references for cultivating high-quality professionals who meet the needs of national public health development and ecological environmental protection.展开更多
Analysis Method of ^(131)I Activity in Carbon Cartridge and Internal Dose Assessment for Nuclear Medicine Workers.Shuo Wang1,Fei Tuo1,Jian-feng Zhang1,Xiao-liang Li1,Bao-lu Yang1,Qiang Zhou1,Ze-shu Li1,Shu-ying Kong1,...Analysis Method of ^(131)I Activity in Carbon Cartridge and Internal Dose Assessment for Nuclear Medicine Workers.Shuo Wang1,Fei Tuo1,Jian-feng Zhang1,Xiao-liang Li1,Bao-lu Yang1,Qiang Zhou1,Ze-shu Li1,Shu-ying Kong1,and Wei-hao Qin1(1.National Institute for Radiological Protection,Chinese Center for Disease Control and Prevention,Beijing,100088,China.)展开更多
Academic journals,consulting firms,and mainstream media have often published“predictions”about the future develop-ment of medical and health care.These publications often emphasize the potential of cutting-edge scie...Academic journals,consulting firms,and mainstream media have often published“predictions”about the future develop-ment of medical and health care.These publications often emphasize the potential of cutting-edge scientific or technical breakthroughs.Health Care Science looks at the problem from another perspective.We focus on how these changes enter the health system,how they operate in the real world,and how they reshape the organization and governance of medical services.At the beginning of 2026,we envision the following three major shifts that will reshape healthcare.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
Large-scale proteomics studies can refine our understanding of health and disease and enable precision medicine.Here,we provide a detailed atlas of 2,920 plasma proteins linking to diseases(406 prevalent and 660 incid...Large-scale proteomics studies can refine our understanding of health and disease and enable precision medicine.Here,we provide a detailed atlas of 2,920 plasma proteins linking to diseases(406 prevalent and 660 incident)and 986 health-related traits in 53,026 individuals(median follow-up:14.8 years)from the UK Biobank,representing the most comprehensive proteome profiles to date.This atlas revealed 168,100 protein-disease associations and 554,488 protein-trait associations.展开更多
The accelerating pace of population aging,the rising burden of chronic and non-communicable diseases,the increasing frequency of public health emergencies,and the growing imbalance and structural shortage of global he...The accelerating pace of population aging,the rising burden of chronic and non-communicable diseases,the increasing frequency of public health emergencies,and the growing imbalance and structural shortage of global healthcare resources are intensifying challenges.In the field of nursing,in particular,the latest State of the World’s Nursing Report[1]highlights that,although the current global number of nurses is approximately 29.8 million.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
Objective:To systematically sort out the application forms and effects of digital health intervention technologies in oral health management,and provide references for the digital development of stomatology.Methods:By...Objective:To systematically sort out the application forms and effects of digital health intervention technologies in oral health management,and provide references for the digital development of stomatology.Methods:By reviewing relevant domestic and foreign studies and clinical practices,this paper summarizes and analyzes the main application forms of digital health interventions,including digital health education,intelligent detection equipment,telemedicine platforms,oral health big data platforms,and school-hospital collaborative screening robots.Results:Studies have shown that digital health interventions can effectively improve the public’s oral health knowledge level,optimize personal health behaviors,enhance clinical diagnosis efficiency,reduce overall medical costs,and promote the innovation and upgrading of oral health management models.Conclusion:Digital health intervention represents an inevitable trend in the future development of stomatology.In the future,it is still necessary to improve data security and privacy protection,technology adaptability and popularity,as well as relevant policies and norms,to give full play to its potential value.展开更多
Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered...Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered questionnaire was conducted in 2020 and included 33,902 community residents aged 40-64 years from 5 cities in Osaka Prefecture,Japan.Of these,12,446(36.7%)agreed to participate in the survey.After exclusion of those with regular visits to medical institutions and those with missing data,the analysis included 3742 participants.Health literacy was measured by the communicative and critical health literacy(CCHL)scale,and participants were classified into 3 groups(low,medium,and high health literacy groups)by the tertiles of the CCHL scale score.Physical inactivity was defined as not completing at least 150 min of moderate-intensity physical activity throughout the week.Results:After adjustment for age,gender,education level,occupation,economic status,living alone,and stages of health behavior change,the multivariable-adjusted odds ratios(ORs)for physical inactivity were 1.36(95% confidence interval[CI]:1.16-1.59,P<0.001)in the medium health literacy group and 1.70(95%CI:1.36-2.11,P<0.001)in the low health literacy group compared with the high health literacy group.Conclusions:This large-scale study provides compelling evidence that those with inadequate health literacy are at higher risk for physical inactivity among middle-aged adults.展开更多
Overweight and obesity are significant public health concerns worldwide due to their association with many chronic health conditions.This has resulted in the development of various interventions focused on weight loss...Overweight and obesity are significant public health concerns worldwide due to their association with many chronic health conditions.This has resulted in the development of various interventions focused on weight loss to reduce the associated health burden.Physical activity is an important lifestyle behavior associated with enhanced health.Evidence supports that many of the benefits of physical activity are realized independent of initial weight status or whether weight loss is achieved,with some benefits additive to what is achieved with weight loss alone.These benefits include enhanced cardiometabolic,brain,cognitive and psychological health,and others.Moreover,in adults with overweight or obesity,physical activity has independent effects on cardiorespiratory fitness,muscular strength,physical function,and mobility.There are also benefits to body composition,with physical activity improving the quality of key tissues,such as skeletal muscle,which may not occur with diet-induced weight loss.Therefore,physical activity is an important public health target for adults with overweight or obesity to provide a wide range of health benefits that extend beyond those of weight loss alone.However,physical activity recommendations and programming efforts should consider the unique characteristics of adults with overweight or obesity to be most effective,and should support a focus on mobility,physical function,and other health outcomes.展开更多
Objectives This scoping review aimed to identify and summarize the current research on virtual reality(VR)technologies used for health education in cancer patients,as well as to identify key areas of application.Metho...Objectives This scoping review aimed to identify and summarize the current research on virtual reality(VR)technologies used for health education in cancer patients,as well as to identify key areas of application.Methods In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines,a comprehensive literature search was performed across 11 electronic databases and gray literature sources from inception to 12 September 2025.Studies employing immersive VR tools to improve health education outcomes in cancer patients were included.Data extraction and thematic synthesis were conducted to map evidence regarding VR modalities,educational applications,and outcome measures.Results Twenty-eight studies met the inclusion criteria.VR was applied across four primary educational scenarios,including radiotherapy,chemotherapy,surgery,and healthy behavior(including rehabilitation,smoking cessation,and self-management).Eight distinct VR modalities were identified,namely VR videos,virtual environments,virtual environment for radiotherapy training(VERT),VR interactions,3D models,VR games,VR non-player characters(VR NPCs),and virtual libraries.Among these,VR videos(50.0%),virtual environments(46.4%),and VR interactions(28.6%)were the most frequently employed.The interventions led to significant improvements in patient knowledge,skills,attitudes,health behaviors,and psychological well-being.A clear evolution in VR educational approaches has been observed,shifting from static environmental familiarization toward interactive,gamified,and intelligence-driven experiences.Nevertheless,notable gaps remain regarding safety protocols and data privacy protections,with only a minority of studies addressing these issues.Conclusions VR technologies demonstrate considerable promise as an innovative educational tool in oncology care,enhancing patient understanding,psychological preparedness,and engagement throughout the cancer journey.Future implementation must address infrastructural,ethical,and user-centered design barriers to facilitate the scalable and sustainable integration of this approach into clinical practice.展开更多
To examine stress redistribution phenomena in bridges subjected to varying operational conditions,this study conducts a comprehensive analysis of three years of monitoring data from a 153-m double-deck road–rail stee...To examine stress redistribution phenomena in bridges subjected to varying operational conditions,this study conducts a comprehensive analysis of three years of monitoring data from a 153-m double-deck road–rail steel arch bridge.An initial statistical comparison of sensor data distributions reveals clear temporal variations in stress redistribution patterns.XGBoost(eXtreme Gradient Boosting),a gradient-boosting machine learning(ML)algorithm,was employed not only for predictive modeling but also to uncover the underlying mechanisms of stress evolution.Unlike traditional numerical models that rely on extensive assumptions and idealizations,XGBoost effectively captures nonlinear and time-varying relationships between stress states and operational/environmental factors,such as temperature,traffic load,and structural geometry.This approach allows for the identification of critical periods and conditions under which stress redistribution becomes significant.Results indicate a clear shift of stress concentrations frombeamends toward mid-span regions following the commencement of metro operations,reflecting both structural adaptation and localized overstress near arch ribs.Furthermore,the model generates robust predictions of stress evolution,demonstrating potential applications in early warning systems and fatigue risk assessment.This work represents the first application of interpretable gradient-boosting techniques to stress redistribution modeling in double-deck bridges.In addition,a Stress Redistribution Index(SRI)is proposed,derived from this monitoring study and finite-element-based transverse load distributions,to quantify temporal stress shifts between midspan and edge beams.The results provide both theoretical contributions and practical guidance for the design,inspection,and maintenance of complex bridge structures.展开更多
Objectives This study aimed to evaluate the effectiveness of a Health Belief Model(HBM)-based electronic education program combined with individualized supervised exercise in improving exercise adherence and pregnancy...Objectives This study aimed to evaluate the effectiveness of a Health Belief Model(HBM)-based electronic education program combined with individualized supervised exercise in improving exercise adherence and pregnancy outcomes among women with gestational hypertension.Methods A randomized controlled trial was conducted from June 2024 to February 2025 at a tertiary hospital in Shenzhen,China.A total of 142 pregnant women diagnosed with gestational hypertension were randomly assigned to either an experimental group or a control group.The experimental group received routine antenatal care plus a 6-week HBM-based e-education intervention delivered via a mobile application and short messaging service(SMS)reminders,complemented by individualized in-person exercise guidance.The control group received routine antenatal care only.After the 6-week intervention,outcomes were assessed using the 6-min walk test,a disease knowledge and attitudes questionnaire,and the Pregnancy Exercise Self-Efficacy Scale.Primary outcomes included exercise adherence,blood pressure control,incidence of preeclampsia,and other pregnancy-related outcomes.Results A total of 129 participants completed the study(the intervention group[n=65],the control group[n=64]).At 6 weeks post-intervention,the experimental group demonstrated significantly greater improvements than the control group in exercise adherence,blood pressure control,preeclampsia incidence,disease-related knowledge and attitudes,and exercise self-efficacy(all P<0.05).Specifically,participants in the experimental group engaged in more frequent and longer-duration exercise sessions(P<0.05).Their blood pressure was maintained within a more stable and clinically optimal range(systolic:135.2±4.7 mmHg;diastolic:85.4±4.5 mmHg),which was significantly better than that of the control group(systolic:138.4±10.4 mmHg;diastolic:90.9±6.9 mmHg;P<0.05).The incidence of preeclampsia was also significantly lower in the experimental group(P<0.05).Additionally,scores for disease knowledge,attitudes,and exercise self-efficacy were higher in the experimental group(P<0.05).Within-group comparisons revealed that the experimental group showed significant improvements from baseline in exercise frequency,duration,total physical activity,and knowledge/attitude scores(P<0.05),whereas the control group showed no significant changes(P>0.05).Conclusion By embedding video-based education,real-time monitoring,and personalized support into routine prenatal care,this intervention facilitated positive behavioral changes in physical activity among pregnant women.The approach offers a scalable model for clinical nurses to delivering tailored remote exercise support for women with other pregnancy-related complications.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
Nursing education in Indonesia experienced a number of changes during the new normal.The biopsychosocial health status reveals how students can complete their studies well at nursing school in the new normal.A quantit...Nursing education in Indonesia experienced a number of changes during the new normal.The biopsychosocial health status reveals how students can complete their studies well at nursing school in the new normal.A quantitative,descriptive correlational study sampled 368 student nurses from2 universities.This study used a biopsychosocial questionnaire,which included biological,physiological,and social dimensions.In this study,there was no significant demographic student nurse relationship with the biological,psychological,and social dimensions of health,at P-value 0.05(Age P=0.70,P=0.27,P=0.93)sex(P=1,P=0.919,P=0.5),as well as grade level(P=0.9,P=0.37,P=0.64).Student nurses were dynamic,such as process input,resulting in coping adaptation and the ability to care for themselves.There was a relationship between both universities with a psychological dimension and a P-value of 0.049.In terms of Generation Z technology,both universities played a role.Lifestyle influences can lead to intense feelings of isolation and loneliness in some teens,including self-negativity,fear of missing out on information,and shame about not meeting appropriate standards for social media.The influence of an unhealthy lifestyle impacts stress and anxiety.The student nurses assigned considered themselves to be“healthy”in terms of their biopsychosocial health status.Student nurses continued to develop in their biopsychosocial health by utilizing different coping strategies to adapt and adjust to their environment in their school of nursing.展开更多
Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai C...Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai County,Shanxi Province,China,to support population health protection,water resource management,and environmental decision-making.Groundwater samples were collected and analyzed,and a Human Health Risk Model(HHRA)was applied to evaluate groundwater quality.The results showed that both contents of F−and Cd in groundwater exceeded the Class III limits of China's national groundwater quality standard(GB/T 14848—2024).Fluoride levels met the Class V threshold,with enrichment area mainly located in the east part of the study area.Cadmium levels reached Class IV,with elevated concentrations primarily observed in the western and northwestern regions.Correlation analysis revealed that F−showed weak or no correlation with other measured substances,indicating independent sources.Health risk assessment results indicated that F−poses potential health risks to rural residents,while cadmium,due to its relatively low concentrations,does not currently present a significant health risk.Among different demographic groups,the health risk levels of F−exposure followed the order:Infants>children>adult females>adult males.The findings highlight that fluoride is the primary contributor to health risks associated with groundwater consumption in the study area.Strengthened monitoring and prevention of F−contamination are urgently needed.This research provides a scientific basis for the prevention and control of fluoride pollution in groundwater and offers practical guidance for safeguarding drinking water safety in rural China.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
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
基金supported by the National Natural Science Foundation of China[Grant No.32200911]the Startup Foundation for Introducing Talent of NUIST[Grant No.2022r047]the International Education Reform Research of NUIST[Grant No.2024GJJY04].
文摘The transition to university life presents unique challenges,increasing the risk of mental health issues amongfirst-year students.This study evaluated the efficacy of an eight-week structured mental health education course in enhancing resilience amongfirst-year college students and reducing their stress levels.Utilizing a cluster-randomized controlled trial,a total of 509first-year students(age range 18–20 years)were allocated to either an intervention group receiving the mental health education course(n=252),or a control group with no intervention(n=257)over an 8 week period.They completed self-reported measures of resilience and perceived stress at baseline and post-intervention.The results from repeated measures analysis of variance(ANOVA)indicated significant group-by-time interactions were found for both resilience and perceived stress.Specifically,students in the intervention group showed significant increases in resilience and significant reductions in perceived stress,whereas the control group showed no significant changes.The brief eight-week mental health education course had efficacy enhancing resilience and reduces perceived stress amongfirst-year students.Thesefindings highlight the value of integrating such mental health education programs into university counseling and student development services,offering a practical approach to supportingfirst-year students’psychological adjustment and overall well-being.
文摘The“Double First-Class”construction focuses on the development of disciplinary connotations and the improvement of talent cultivation quality,posing higher demands on the teaching mode and talent supply of public health and preventive medicine disciplines.Environmental health,as a core course in public health and preventive medicine,directly relates to the cultivation of effective composite public health talents.Based on the core orientation of the“Double First-Class”construction and combining the talent cultivation and course characteristics of environmental health,this paper explores the significance of teaching reform and talent cultivation in environmental health from the perspective of“Double First-Class”construction.It also investigates the paths for teaching reform and talent cultivation from multiple dimensions,aiming to provide references for cultivating high-quality professionals who meet the needs of national public health development and ecological environmental protection.
文摘Analysis Method of ^(131)I Activity in Carbon Cartridge and Internal Dose Assessment for Nuclear Medicine Workers.Shuo Wang1,Fei Tuo1,Jian-feng Zhang1,Xiao-liang Li1,Bao-lu Yang1,Qiang Zhou1,Ze-shu Li1,Shu-ying Kong1,and Wei-hao Qin1(1.National Institute for Radiological Protection,Chinese Center for Disease Control and Prevention,Beijing,100088,China.)
文摘Academic journals,consulting firms,and mainstream media have often published“predictions”about the future develop-ment of medical and health care.These publications often emphasize the potential of cutting-edge scientific or technical breakthroughs.Health Care Science looks at the problem from another perspective.We focus on how these changes enter the health system,how they operate in the real world,and how they reshape the organization and governance of medical services.At the beginning of 2026,we envision the following three major shifts that will reshape healthcare.
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.
文摘Large-scale proteomics studies can refine our understanding of health and disease and enable precision medicine.Here,we provide a detailed atlas of 2,920 plasma proteins linking to diseases(406 prevalent and 660 incident)and 986 health-related traits in 53,026 individuals(median follow-up:14.8 years)from the UK Biobank,representing the most comprehensive proteome profiles to date.This atlas revealed 168,100 protein-disease associations and 554,488 protein-trait associations.
文摘The accelerating pace of population aging,the rising burden of chronic and non-communicable diseases,the increasing frequency of public health emergencies,and the growing imbalance and structural shortage of global healthcare resources are intensifying challenges.In the field of nursing,in particular,the latest State of the World’s Nursing Report[1]highlights that,although the current global number of nurses is approximately 29.8 million.
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Objective:To systematically sort out the application forms and effects of digital health intervention technologies in oral health management,and provide references for the digital development of stomatology.Methods:By reviewing relevant domestic and foreign studies and clinical practices,this paper summarizes and analyzes the main application forms of digital health interventions,including digital health education,intelligent detection equipment,telemedicine platforms,oral health big data platforms,and school-hospital collaborative screening robots.Results:Studies have shown that digital health interventions can effectively improve the public’s oral health knowledge level,optimize personal health behaviors,enhance clinical diagnosis efficiency,reduce overall medical costs,and promote the innovation and upgrading of oral health management models.Conclusion:Digital health intervention represents an inevitable trend in the future development of stomatology.In the future,it is still necessary to improve data security and privacy protection,technology adaptability and popularity,as well as relevant policies and norms,to give full play to its potential value.
基金supported by the Fund for Health Promotion from Osaka Prefecture。
文摘Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered questionnaire was conducted in 2020 and included 33,902 community residents aged 40-64 years from 5 cities in Osaka Prefecture,Japan.Of these,12,446(36.7%)agreed to participate in the survey.After exclusion of those with regular visits to medical institutions and those with missing data,the analysis included 3742 participants.Health literacy was measured by the communicative and critical health literacy(CCHL)scale,and participants were classified into 3 groups(low,medium,and high health literacy groups)by the tertiles of the CCHL scale score.Physical inactivity was defined as not completing at least 150 min of moderate-intensity physical activity throughout the week.Results:After adjustment for age,gender,education level,occupation,economic status,living alone,and stages of health behavior change,the multivariable-adjusted odds ratios(ORs)for physical inactivity were 1.36(95% confidence interval[CI]:1.16-1.59,P<0.001)in the medium health literacy group and 1.70(95%CI:1.36-2.11,P<0.001)in the low health literacy group compared with the high health literacy group.Conclusions:This large-scale study provides compelling evidence that those with inadequate health literacy are at higher risk for physical inactivity among middle-aged adults.
基金supported by the National Institutes of Health for the Kansas Center for Metabolism and Obesity Research(award No.P20GM144269)support from the Center for Advancing Translational Sciences of the National Institutes of Health(award No.KL2TR002367)supported by the National Center for Advancing Translational Sciences of the National Institutes of Health(award No.TL1TR002368)。
文摘Overweight and obesity are significant public health concerns worldwide due to their association with many chronic health conditions.This has resulted in the development of various interventions focused on weight loss to reduce the associated health burden.Physical activity is an important lifestyle behavior associated with enhanced health.Evidence supports that many of the benefits of physical activity are realized independent of initial weight status or whether weight loss is achieved,with some benefits additive to what is achieved with weight loss alone.These benefits include enhanced cardiometabolic,brain,cognitive and psychological health,and others.Moreover,in adults with overweight or obesity,physical activity has independent effects on cardiorespiratory fitness,muscular strength,physical function,and mobility.There are also benefits to body composition,with physical activity improving the quality of key tissues,such as skeletal muscle,which may not occur with diet-induced weight loss.Therefore,physical activity is an important public health target for adults with overweight or obesity to provide a wide range of health benefits that extend beyond those of weight loss alone.However,physical activity recommendations and programming efforts should consider the unique characteristics of adults with overweight or obesity to be most effective,and should support a focus on mobility,physical function,and other health outcomes.
基金supported by a project supported by Scientific Research Fund of Zhejiang Provincial Education Department(Grant number Y202457058).
文摘Objectives This scoping review aimed to identify and summarize the current research on virtual reality(VR)technologies used for health education in cancer patients,as well as to identify key areas of application.Methods In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines,a comprehensive literature search was performed across 11 electronic databases and gray literature sources from inception to 12 September 2025.Studies employing immersive VR tools to improve health education outcomes in cancer patients were included.Data extraction and thematic synthesis were conducted to map evidence regarding VR modalities,educational applications,and outcome measures.Results Twenty-eight studies met the inclusion criteria.VR was applied across four primary educational scenarios,including radiotherapy,chemotherapy,surgery,and healthy behavior(including rehabilitation,smoking cessation,and self-management).Eight distinct VR modalities were identified,namely VR videos,virtual environments,virtual environment for radiotherapy training(VERT),VR interactions,3D models,VR games,VR non-player characters(VR NPCs),and virtual libraries.Among these,VR videos(50.0%),virtual environments(46.4%),and VR interactions(28.6%)were the most frequently employed.The interventions led to significant improvements in patient knowledge,skills,attitudes,health behaviors,and psychological well-being.A clear evolution in VR educational approaches has been observed,shifting from static environmental familiarization toward interactive,gamified,and intelligence-driven experiences.Nevertheless,notable gaps remain regarding safety protocols and data privacy protections,with only a minority of studies addressing these issues.Conclusions VR technologies demonstrate considerable promise as an innovative educational tool in oncology care,enhancing patient understanding,psychological preparedness,and engagement throughout the cancer journey.Future implementation must address infrastructural,ethical,and user-centered design barriers to facilitate the scalable and sustainable integration of this approach into clinical practice.
基金supported by the Key Technologies Research and Development Program under Grant 2021YFB1600300.
文摘To examine stress redistribution phenomena in bridges subjected to varying operational conditions,this study conducts a comprehensive analysis of three years of monitoring data from a 153-m double-deck road–rail steel arch bridge.An initial statistical comparison of sensor data distributions reveals clear temporal variations in stress redistribution patterns.XGBoost(eXtreme Gradient Boosting),a gradient-boosting machine learning(ML)algorithm,was employed not only for predictive modeling but also to uncover the underlying mechanisms of stress evolution.Unlike traditional numerical models that rely on extensive assumptions and idealizations,XGBoost effectively captures nonlinear and time-varying relationships between stress states and operational/environmental factors,such as temperature,traffic load,and structural geometry.This approach allows for the identification of critical periods and conditions under which stress redistribution becomes significant.Results indicate a clear shift of stress concentrations frombeamends toward mid-span regions following the commencement of metro operations,reflecting both structural adaptation and localized overstress near arch ribs.Furthermore,the model generates robust predictions of stress evolution,demonstrating potential applications in early warning systems and fatigue risk assessment.This work represents the first application of interpretable gradient-boosting techniques to stress redistribution modeling in double-deck bridges.In addition,a Stress Redistribution Index(SRI)is proposed,derived from this monitoring study and finite-element-based transverse load distributions,to quantify temporal stress shifts between midspan and edge beams.The results provide both theoretical contributions and practical guidance for the design,inspection,and maintenance of complex bridge structures.
基金supported by the Guangdong Basic and Applied Basic Research Foundation(2025A1515011703).
文摘Objectives This study aimed to evaluate the effectiveness of a Health Belief Model(HBM)-based electronic education program combined with individualized supervised exercise in improving exercise adherence and pregnancy outcomes among women with gestational hypertension.Methods A randomized controlled trial was conducted from June 2024 to February 2025 at a tertiary hospital in Shenzhen,China.A total of 142 pregnant women diagnosed with gestational hypertension were randomly assigned to either an experimental group or a control group.The experimental group received routine antenatal care plus a 6-week HBM-based e-education intervention delivered via a mobile application and short messaging service(SMS)reminders,complemented by individualized in-person exercise guidance.The control group received routine antenatal care only.After the 6-week intervention,outcomes were assessed using the 6-min walk test,a disease knowledge and attitudes questionnaire,and the Pregnancy Exercise Self-Efficacy Scale.Primary outcomes included exercise adherence,blood pressure control,incidence of preeclampsia,and other pregnancy-related outcomes.Results A total of 129 participants completed the study(the intervention group[n=65],the control group[n=64]).At 6 weeks post-intervention,the experimental group demonstrated significantly greater improvements than the control group in exercise adherence,blood pressure control,preeclampsia incidence,disease-related knowledge and attitudes,and exercise self-efficacy(all P<0.05).Specifically,participants in the experimental group engaged in more frequent and longer-duration exercise sessions(P<0.05).Their blood pressure was maintained within a more stable and clinically optimal range(systolic:135.2±4.7 mmHg;diastolic:85.4±4.5 mmHg),which was significantly better than that of the control group(systolic:138.4±10.4 mmHg;diastolic:90.9±6.9 mmHg;P<0.05).The incidence of preeclampsia was also significantly lower in the experimental group(P<0.05).Additionally,scores for disease knowledge,attitudes,and exercise self-efficacy were higher in the experimental group(P<0.05).Within-group comparisons revealed that the experimental group showed significant improvements from baseline in exercise frequency,duration,total physical activity,and knowledge/attitude scores(P<0.05),whereas the control group showed no significant changes(P>0.05).Conclusion By embedding video-based education,real-time monitoring,and personalized support into routine prenatal care,this intervention facilitated positive behavioral changes in physical activity among pregnant women.The approach offers a scalable model for clinical nurses to delivering tailored remote exercise support for women with other pregnancy-related complications.
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.
文摘Nursing education in Indonesia experienced a number of changes during the new normal.The biopsychosocial health status reveals how students can complete their studies well at nursing school in the new normal.A quantitative,descriptive correlational study sampled 368 student nurses from2 universities.This study used a biopsychosocial questionnaire,which included biological,physiological,and social dimensions.In this study,there was no significant demographic student nurse relationship with the biological,psychological,and social dimensions of health,at P-value 0.05(Age P=0.70,P=0.27,P=0.93)sex(P=1,P=0.919,P=0.5),as well as grade level(P=0.9,P=0.37,P=0.64).Student nurses were dynamic,such as process input,resulting in coping adaptation and the ability to care for themselves.There was a relationship between both universities with a psychological dimension and a P-value of 0.049.In terms of Generation Z technology,both universities played a role.Lifestyle influences can lead to intense feelings of isolation and loneliness in some teens,including self-negativity,fear of missing out on information,and shame about not meeting appropriate standards for social media.The influence of an unhealthy lifestyle impacts stress and anxiety.The student nurses assigned considered themselves to be“healthy”in terms of their biopsychosocial health status.Student nurses continued to develop in their biopsychosocial health by utilizing different coping strategies to adapt and adjust to their environment in their school of nursing.
基金supported by the Northeast Geological Science and Technology Innovation Center of China Geological Survey(Grant NO.QCJJ2022-43)the Natural Resources Comprehensive Survey Project(Grant Nos.DD20230470,DD20230508)the National Groundwater Monitoring Network Operation and Maintenance Program(Grant No.DD20251300109).
文摘Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai County,Shanxi Province,China,to support population health protection,water resource management,and environmental decision-making.Groundwater samples were collected and analyzed,and a Human Health Risk Model(HHRA)was applied to evaluate groundwater quality.The results showed that both contents of F−and Cd in groundwater exceeded the Class III limits of China's national groundwater quality standard(GB/T 14848—2024).Fluoride levels met the Class V threshold,with enrichment area mainly located in the east part of the study area.Cadmium levels reached Class IV,with elevated concentrations primarily observed in the western and northwestern regions.Correlation analysis revealed that F−showed weak or no correlation with other measured substances,indicating independent sources.Health risk assessment results indicated that F−poses potential health risks to rural residents,while cadmium,due to its relatively low concentrations,does not currently present a significant health risk.Among different demographic groups,the health risk levels of F−exposure followed the order:Infants>children>adult females>adult males.The findings highlight that fluoride is the primary contributor to health risks associated with groundwater consumption in the study area.Strengthened monitoring and prevention of F−contamination are urgently needed.This research provides a scientific basis for the prevention and control of fluoride pollution in groundwater and offers practical guidance for safeguarding drinking water safety in rural China.
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.
