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:Oral health issues persistently affect the overall health and well-being of rural populations.Village health volunteers(VHVs)play a crucial role in advancing oral health literacy in their community.This stu...Background:Oral health issues persistently affect the overall health and well-being of rural populations.Village health volunteers(VHVs)play a crucial role in advancing oral health literacy in their community.This study aimed to examine the factors related to nutritional literacy for oral health among VHVs.Methods:This was a mixed-methods study employing an explanatory sequential design.The quantitative data were gathered through questionnaires distributed to a cohort of 10,514 VHVs registered in Health Region 1.A stratified random sampling technique was used to ensure adequate representation of various subgroups within the VHV population,considering factors such as age,education level,and geographical distribution across the region.This approach allowed for a more representative sample that accurately reflects the diversity of the VHV population.Qualitative data were obtained through semi-structured interviews with a purposive sampling of 20 participants based on specific criteria.Quantitative data were analyzed using descriptive statistics and biserial correlation techniques,while qualitative data were analyzed using content analysis.Results:The study found that the sample group possessed a moderate level of knowledge of health literacy principles and nutrition for oral health.However,their self-assessed skills in nutritional literacy for oral health were rated as high.A statistically significant negative correlation was found between knowledge of nutrition for oral health and skills in nutritional literacy for oral health.VHVs equated health literacy with knowledge because their public health training had focused more on imparting knowledge rather than developing skills based on health literacy principles.Conclusion:There is a need to emphasize skill-based health literacy training and to use effective skill development techniques that are tailored to the specific roles and responsibilities of health volunteers.It is also recommended to continuously monitor and evaluate the outcomes of these efforts.展开更多
Background:Low awareness of common pediatric eye conditions,such as amblyopia,conjunctivitis,and myopia in rural Chiang Rai,Thailand,prompted the development of a specialized curriculum.This curriculum aimed to provid...Background:Low awareness of common pediatric eye conditions,such as amblyopia,conjunctivitis,and myopia in rural Chiang Rai,Thailand,prompted the development of a specialized curriculum.This curriculum aimed to provide individuals serving these areas with resources to educate and disseminate information within their communities.Methods:A one-hour curriculum covering the causes,signs,diagnosis,treatment,and prevention of amblyopia,conjunctivitis,and myopia was delivered virtually to public health students at a Thai university and in-person to students at this university and rural community members.The in-person seminar included hands-on activities and simulations of these eye conditions.Knowledge acquisition and retention were assessed using pre-tests,immediate post-tests,and one-month post-tests.Results:The seminar was attended by 87 virtual public health students,111 in-person public health students,and 40 in-person rural community members.All groups showed significant improvement in test scores from pre-test to immediate post-test(P<0.001).In-person students had 1.57 times the odds of answering correctly on the immediate post-test compared to virtual students,despite no significant difference in baseline knowledge.However,the subset of in-person students who did not receive bilingual materials showed no significant difference in immediate post-test performance compared to virtual students(P>0.05).Although public health students had more than twice the odds of answering correctly at pre-test compared to rural community members,there were no significant differences between groups on the immediate post-test(P>0.05).Conclusion:A brief seminar significantly improved understanding and retention of pediatric eye conditions,achieving similar levels of understanding among public health students and rural community members,regardless of initial knowledge on this topic.In-person,hands-on seminars with educational materials in participants'preferred language proved more effective than virtual ones in achieving these improvements.展开更多
Chronic diseases,or NCDs(noncommunicable diseases),constitute a major global health challenge,causing millions of deaths and imposing substantial economic burdens annually.This paper introduces the Health Score,a comp...Chronic diseases,or NCDs(noncommunicable diseases),constitute a major global health challenge,causing millions of deaths and imposing substantial economic burdens annually.This paper introduces the Health Score,a comprehensive framework for assessing chronic disease risk by integrating diverse determinants of health,including social,economic,environmental,behavioral,treatment,culture,and nature factors.The Health Score,ranging from 0 to 850,quantifies indivi dual and population-level health risks while identifying protective factors through a structured methodology that supports targeted interventions at individual,corporate,and community scales.The paper highlights the rising prevalence of chronic diseases in the United States,projecting that nearly half of the population will be affected by 2030,alongside a global economic burden expected to reach trillions of dollars.Existing surveillance tools,such as the CDS(Chronic Disease Score)and CDIs(Chronic Disease Indicators),are examined for their roles in monitoring health disparities.The Health Score advances a holistic,proactive approach,emphasizing lifestyle modifications,equitable healthcare access,economic opportunities,social support,nature exposure,cu ltural awareness,and community engagement.By elucidating the complex interplay of health determinants,this framework equips stakeholders with actionable insights to implement effective prevention strategies,ultimately fostering healthier,more resi lient populations.展开更多
The national weight management campaign,part of the broader Healthy China strategy,enhances public health literacy,fosters healthy living habits,and creates supportive environments for sustained weight control.
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
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
With the widespread use of social media,the propagation of health-related rumors has become a significant public health threat.Existing methods for detecting health rumors predominantly rely on external knowledge or p...With the widespread use of social media,the propagation of health-related rumors has become a significant public health threat.Existing methods for detecting health rumors predominantly rely on external knowledge or propagation structures,with only a few recent approaches attempting causal inference;however,these have not yet effectively integrated causal discovery with domain-specific knowledge graphs for detecting health rumors.In this study,we found that the combined use of causal discovery and domain-specific knowledge graphs can effectively identify implicit pseudo-causal logic embedded within texts,holding significant potential for health rumor detection.To this end,we propose CKDG—a dual-graph fusion framework based on causal logic and medical knowledge graphs.CKDG constructs a weighted causal graph to capture the implicit causal relationships in the text and introduces a medical knowledge graph to verify semantic consistency,thereby enhancing the ability to identify the misuse of professional terminology and pseudoscientific claims.In experiments conducted on a dataset comprising 8430 health rumors,CKDG achieved an accuracy of 91.28%and an F1 score of 90.38%,representing improvements of 5.11%and 3.29%over the best baseline,respectively.Our results indicate that the integrated use of causal discovery and domainspecific knowledge graphs offers significant advantages for health rumor detection systems.This method not only improves detection performance but also enhances the transparency and credibility of model decisions by tracing causal chains and sources of knowledge conflicts.We anticipate that this work will provide key technological support for the development of trustworthy health-information filtering systems,thereby improving the reliability of public health information on social media.展开更多
Ambient fine particulate matter(PM_(2.5))pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global we...Ambient fine particulate matter(PM_(2.5))pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global wealth inequality has intensified in recent years,yet the relationship between wealth inequality and health risks related to PM_(2.5) pollution remains poorly understood.In this study,we evaluated the global mortality and health cost at-tributable to PM_(2.5) exposure from 2017 to 2021,and analyzed the relationship between wealth inequality,PM_(2.5) pollution,and the associated health risks across regions with varying economic levels.We found a consistent decline in mortalities and health costs attributable to PM_(2.5) exposure from 2017 to 2020,followed by a rebound after 2020,driven primarily by the resurgence of PM_(2.5) concentrations and a deceleration in the reduction of baseline mortality rates.We also found that the average PM_(2.5) concentration and associated risks decrease as domestic wealth inequality decreases and national income level increases.However,regions with extremely high levels of wealth inequality consistently show lower national average PM_(2.5) concentrations and health risks.These findings highlight the need to consider healthcare security during emergencies,as well as policy fairness across economic regions,in the formulation of global PM_(2.5) pollution control measures to promote sustainable,more equitable economic growth and coordinated air pollution management.展开更多
The intersection of visual impairment and mental health has profound effects on quality of life and warrants attention from healthcare providers,educators,and policymakers.With 20 million children under the age of 14 ...The intersection of visual impairment and mental health has profound effects on quality of life and warrants attention from healthcare providers,educators,and policymakers.With 20 million children under the age of 14 affected globally,older adults also experience significant psychological impact including depression,anxiety,and cognitive impairment.The implications of vision-related challenges extend far beyond mere sight.Depression and anxiety,exacerbated by social isolation and reduced physical activity,underscore the need for comprehensive interventions that address both medical and psychosocial dimensions.By recognizing the profound impact of ocular morbidities like strabismus,myopia,glaucoma,and age-related macular degeneration on mental health and investing in effective treatments and inclusive practices,society can pave the way for a healthier,more equitable future for affected individuals.There is evidence that myopic children experience a higher prevalence of depressive symptoms compared to their normal peers,and interventions like the correction of strabismus can enhance psychological outcome-demonstrating the value of an integrated management approach.展开更多
AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANE...AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANES)were analyzed,a nationally representative U.S.dataset.ERM was identified via retinal imaging based on the presence of cellophane changes.Key predictors included age group,eye surgery history,and refractive error,with additional demographic and health-related covariates.Weighted univariate and multiple logistic regression models were used to assess associations and interaction effects between eye surgery and refractive error.RESULTS:Totally 3925 participants were analyzed.Older age,eye surgery,and refractive errors were significantly associated with ERM.Compared to those under 65y,the odds ratio(OR)for ERM was 3.08 for ages 65–75y(P=0.0014)and 4.76 for ages 75+years(P=0.0069).Eye surgery increased ERM risk(OR=3.48,P=0.0018).Moderate to high hyperopia and myopia were also associated with ERM(OR=2.65 and 1.80,respectively).A significant interaction between refractive error and eye surgery was observed(P<0.0001).Moderate to high myopia was associated with ERM only in those without eye surgery(OR=1.92,P=0.0443).Eye surgery was most strongly associated with ERM in the emmetropic group(OR=3.60,P=0.0027),followed by the moderate to high myopia group(OR=3.01,P=0.0031).CONCLUSION:ERM is significantly associated with aging,eye surgery,and refractive errors.The interaction between eye surgery and refractive error modifies ERM risk and highlights the importance of considering combined effects in clinical risk assessments.These findings may help guide individualized ERM risk assessment that may inform personalized approaches to ERM prevention and management.展开更多
There have been an increasing number of studies on climate change and population health over the past 20 years,with most focusing on health risk assessment,targeting different locations and populations with various di...There have been an increasing number of studies on climate change and population health over the past 20 years,with most focusing on health risk assessment,targeting different locations and populations with various diseases[1−2].While these studies have provided the necessary epidemiological evidence for health authorities in policymaking,it is time to develop and implement tailored health interventions to protect the health and well-being of communities,and particularly that of vulnerable groups.展开更多
There has been an increase in mental health problems in Sub-Saharan Africa.Considering this,it is critical to track the region’s level of mental health literacy(MHL)to identify key mental health priorities and to dir...There has been an increase in mental health problems in Sub-Saharan Africa.Considering this,it is critical to track the region’s level of mental health literacy(MHL)to identify key mental health priorities and to direct the most effective interventions.The purpose of this study was to review the existing literature on MHL in sub-Saharan Africa.EBSCOhost(inclusive of Academic Search Ultimate,MEDLINE,APA PsycINFO,APA Psych Articles,and Global Health),CINAHL with full text,Wiley Online Library,Taylor and Francis Online Journals and Google Scholar databases were searched to retrieve relevant articles.The study only considered original full-text,peer-reviewed,English-written research on MHL carried out in sub-Saharan Africa and published between 2015 and 2023.Scoping review steps by Arksey and O’Malley(2005)were followed.Grey literature,review studies,and review protocols were excluded.The data was analysed using reflexive thematic analysis(RTA).The results showed that MHL varies within the region,making it difficult to determine the exact state.Furthermore,the study uncovered factors that contribute to both poor and better MHL in the region.Poor MHL was linked to residing in the township and being male.Better MHL was associated with higher education levels,being female,urban residence,and having a history of mental illness,among other factors.The studyfindings provide evidence-based recommendations for regional,policy,or legislative-led interventions and prioritisations of mental health education programs and public mental health campaigns to increase awareness of mental health.展开更多
In the rapidly evolving landscape of digital health,the integration of data analytics and Internet healthserviceshasbecome a pivotal area of exploration.To meet keen social needs,Prof.Shan Liu(Xi'an Jiaotong Unive...In the rapidly evolving landscape of digital health,the integration of data analytics and Internet healthserviceshasbecome a pivotal area of exploration.To meet keen social needs,Prof.Shan Liu(Xi'an Jiaotong University)and Prof.Xing Zhang(Wuhan Textile University)have published the timely book Datadriven Internet Health Platform Service Value Co-creation through China Science Press.The book focuses on the provision of medical and health services from doctors to patients through Internet health platforms,where the service value is co-created by three parties.展开更多
Objective:This scoping review explores digital health interventions used to improve maternal health and the health of children under-5-year-olds in rural areas of low-and middle-income countries(LMICs),identifying cur...Objective:This scoping review explores digital health interventions used to improve maternal health and the health of children under-5-year-olds in rural areas of low-and middle-income countries(LMICs),identifying current practices and research gaps.Methods:Guided by PRISMA Extension for Scoping Reviews,a comprehensive search was conducted across PubMed,Web of Science,and grey literature search with Google Scholar,and the South African National Elec-tronic Theses and Dissertations Portal.MeSH terms and Boolean operators were used.Studies were screened using the Population,Concept,and Context framework,and data were extracted systematically.Results:Of 5,114 records,63 met inclusion criteria.Digital health interventions,particularly mobile health,were found to enhance service delivery,education,and support for maternal and child health in LMICs.However,challenges such as limited access to technology,digital literacy,and cultural barriers persist.Contextual factors,including geography and sociocultural norms,significantly influenced implementation success.Conclusion:Digital health interventions show promise in improving maternal and child health in LMICs.How-ever,regional disparities,technological limitations,and cultural misalignment hinder scalability.Future research should focus on culturally adaptive,community-engaged approaches and long-term impact assessments to sup-port sustainable health promotion in low-resource settings.展开更多
BACKGROUND Coronavirus disease 2019(COVID-19)disrupted healthcare and led to increased telehealth use.We explored the impact of COVID-19 on liver transplant evaluation(LTE).AIM To understand the impact of telehealth o...BACKGROUND Coronavirus disease 2019(COVID-19)disrupted healthcare and led to increased telehealth use.We explored the impact of COVID-19 on liver transplant evaluation(LTE).AIM To understand the impact of telehealth on LTE during COVID-19 and to identify disparities in outcomes disaggregated by sociodemographic factors.METHODS This was a retrospective study of patients who initiated LTE at our center from 3/16/20-3/16/21(“COVID-19 era”)and the year prior(3/16/19-3/15/20,“pre-COVID-19 era”).We compared LTE duration times between eras and explored the effects of telehealth and inpatient evaluations on LTE duration,listing,and pretransplant mortality.RESULTS One hundred and seventy-eight patients were included in the pre-COVID-19 era cohort and one hundred and ninety-nine in the COVID-19 era cohort.Twentynine percent(58/199)of COVID-19 era initial LTE were telehealth,compared to 0%(0/178)pre-COVID-19.There were more inpatient evaluations during COVID-19 era(40%vs 28%,P<0.01).Among outpatient encounters,telehealth use for initial LTE during COVID-19 era did not impact likelihood of listing,pretransplant mortality,or time to LTE and listing.Median times to LTE and listing during COVID-19 were shorter than pre-COVID-19,driven by increased inpatient evaluations.Sociodemographic factors were not predictive of telehealth.CONCLUSION COVID-19 demonstrates a shift to telehealth and inpatient LTE.Telehealth does not impact LTE or listing duration,likelihood of listing,or mortality,suggesting telehealth may facilitate LTE without negative outcomes.展开更多
Objective: The health-related quality of life (HRQoL) theory was used to assess the health quality of elderly residents in Southwest China. This was done by using the European Five-Dimensional Health Scale in a compre...Objective: The health-related quality of life (HRQoL) theory was used to assess the health quality of elderly residents in Southwest China. This was done by using the European Five-Dimensional Health Scale in a comprehensive manner and by analysing the factors influencing it. The findings will provide new perspectives and ideas for improving the health-related quality of life of the elderly population and enhancing the precise health management of elderly residents. Methods: The response data of 1892 elderly residents in southwestern China were included in the analysis based on the CLHLS data. The factors influencing the occurrence of problems, EQ-VAS scores and health utility values were analysed by logistic regression, multiple linear regression and Tobit regression, respectively. Results: The primary health concerns among the elderly population in the Southwest region were limited ability to perform daily activities and pain or discomfort. These individuals exhibited an EQ-VAS self-assessment score of 66.51 ± 14.87 and a health utility value of 0.87 (0.70, 1.00). Gender, age, regular medical check-ups, exercise habits and the prevalence of chronic diseases are the main influencing factors. Conclusions: The health quality of elderly people in Southwest China needs to be improved, and a comprehensive management strategy can be adopted in terms of lifestyle management, health needs management and disease management to improve the quality of their healthy lives and promote the development of healthy ageing.展开更多
Rehabilitation for patients with chronic physical conditions,such as stroke,spinal cord injury,and fibromyalgia,is predominantly focused on physical recovery,often neglecting the affective and social dimensions crucia...Rehabilitation for patients with chronic physical conditions,such as stroke,spinal cord injury,and fibromyalgia,is predominantly focused on physical recovery,often neglecting the affective and social dimensions crucial for comprehensive health outcomes.This oversight contributes to a significant mental health burden,with up to40%of rehabilitating patients experiencing depression or anxiety.This perspective article reviews evidence from social and affective neuroscience to highlight the urgent need to integrate well-being as a central component of rehabilitation.We propose a holistic rehabilitation model that includes psychological,affective,and social interventions alongside physical therapies.This model draws on existing studies demonstrating that emotional resilience and social support are key predictors of successful rehabilitation outcomes.Patients with strong social and affective well-being are more likely to adhere to treatment protocols and achieve better physical recovery.Conversely,neglecting these dimensions can exacerbate mental health conditions,leading to what we identify as a"second wave"of health crises—mental health conditions triggered by chronic physical ailments.By adopting this holistic approach,healthcare systems can improve immediate rehabilitation outcomes,prevent the long-term escalation of mental health issues,and reduce the overall burden on global mental health services,ultimately enhancing the quality of life for patients worldwide.展开更多
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Background:Oral health issues persistently affect the overall health and well-being of rural populations.Village health volunteers(VHVs)play a crucial role in advancing oral health literacy in their community.This study aimed to examine the factors related to nutritional literacy for oral health among VHVs.Methods:This was a mixed-methods study employing an explanatory sequential design.The quantitative data were gathered through questionnaires distributed to a cohort of 10,514 VHVs registered in Health Region 1.A stratified random sampling technique was used to ensure adequate representation of various subgroups within the VHV population,considering factors such as age,education level,and geographical distribution across the region.This approach allowed for a more representative sample that accurately reflects the diversity of the VHV population.Qualitative data were obtained through semi-structured interviews with a purposive sampling of 20 participants based on specific criteria.Quantitative data were analyzed using descriptive statistics and biserial correlation techniques,while qualitative data were analyzed using content analysis.Results:The study found that the sample group possessed a moderate level of knowledge of health literacy principles and nutrition for oral health.However,their self-assessed skills in nutritional literacy for oral health were rated as high.A statistically significant negative correlation was found between knowledge of nutrition for oral health and skills in nutritional literacy for oral health.VHVs equated health literacy with knowledge because their public health training had focused more on imparting knowledge rather than developing skills based on health literacy principles.Conclusion:There is a need to emphasize skill-based health literacy training and to use effective skill development techniques that are tailored to the specific roles and responsibilities of health volunteers.It is also recommended to continuously monitor and evaluate the outcomes of these efforts.
基金supported by the National Institutes of Health(Bethesda,MD)through the P30 EY010572 core grantthe Malcolm M.Marquis,MD Endowed Fund for Innovation+1 种基金an unrestricted grant from Research to Prevent Blindness(New York,NY)to the Casey Eye Institute,Oregon Health&Science UniversityAdditional support was provided by Oregon Health&Science University Global Health。
文摘Background:Low awareness of common pediatric eye conditions,such as amblyopia,conjunctivitis,and myopia in rural Chiang Rai,Thailand,prompted the development of a specialized curriculum.This curriculum aimed to provide individuals serving these areas with resources to educate and disseminate information within their communities.Methods:A one-hour curriculum covering the causes,signs,diagnosis,treatment,and prevention of amblyopia,conjunctivitis,and myopia was delivered virtually to public health students at a Thai university and in-person to students at this university and rural community members.The in-person seminar included hands-on activities and simulations of these eye conditions.Knowledge acquisition and retention were assessed using pre-tests,immediate post-tests,and one-month post-tests.Results:The seminar was attended by 87 virtual public health students,111 in-person public health students,and 40 in-person rural community members.All groups showed significant improvement in test scores from pre-test to immediate post-test(P<0.001).In-person students had 1.57 times the odds of answering correctly on the immediate post-test compared to virtual students,despite no significant difference in baseline knowledge.However,the subset of in-person students who did not receive bilingual materials showed no significant difference in immediate post-test performance compared to virtual students(P>0.05).Although public health students had more than twice the odds of answering correctly at pre-test compared to rural community members,there were no significant differences between groups on the immediate post-test(P>0.05).Conclusion:A brief seminar significantly improved understanding and retention of pediatric eye conditions,achieving similar levels of understanding among public health students and rural community members,regardless of initial knowledge on this topic.In-person,hands-on seminars with educational materials in participants'preferred language proved more effective than virtual ones in achieving these improvements.
文摘Chronic diseases,or NCDs(noncommunicable diseases),constitute a major global health challenge,causing millions of deaths and imposing substantial economic burdens annually.This paper introduces the Health Score,a comprehensive framework for assessing chronic disease risk by integrating diverse determinants of health,including social,economic,environmental,behavioral,treatment,culture,and nature factors.The Health Score,ranging from 0 to 850,quantifies indivi dual and population-level health risks while identifying protective factors through a structured methodology that supports targeted interventions at individual,corporate,and community scales.The paper highlights the rising prevalence of chronic diseases in the United States,projecting that nearly half of the population will be affected by 2030,alongside a global economic burden expected to reach trillions of dollars.Existing surveillance tools,such as the CDS(Chronic Disease Score)and CDIs(Chronic Disease Indicators),are examined for their roles in monitoring health disparities.The Health Score advances a holistic,proactive approach,emphasizing lifestyle modifications,equitable healthcare access,economic opportunities,social support,nature exposure,cu ltural awareness,and community engagement.By elucidating the complex interplay of health determinants,this framework equips stakeholders with actionable insights to implement effective prevention strategies,ultimately fostering healthier,more resi lient populations.
文摘The national weight management campaign,part of the broader Healthy China strategy,enhances public health literacy,fosters healthy living habits,and creates supportive environments for sustained weight control.
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.
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.
基金funded by the Hunan Provincial Natural Science Foundation of China(Grant No.2025JJ70105)the Hunan Provincial College Students’Innovation and Entrepreneurship Training Program(Project No.S202411342056)The article processing charge(APC)was funded by the Project No.2025JJ70105.
文摘With the widespread use of social media,the propagation of health-related rumors has become a significant public health threat.Existing methods for detecting health rumors predominantly rely on external knowledge or propagation structures,with only a few recent approaches attempting causal inference;however,these have not yet effectively integrated causal discovery with domain-specific knowledge graphs for detecting health rumors.In this study,we found that the combined use of causal discovery and domain-specific knowledge graphs can effectively identify implicit pseudo-causal logic embedded within texts,holding significant potential for health rumor detection.To this end,we propose CKDG—a dual-graph fusion framework based on causal logic and medical knowledge graphs.CKDG constructs a weighted causal graph to capture the implicit causal relationships in the text and introduces a medical knowledge graph to verify semantic consistency,thereby enhancing the ability to identify the misuse of professional terminology and pseudoscientific claims.In experiments conducted on a dataset comprising 8430 health rumors,CKDG achieved an accuracy of 91.28%and an F1 score of 90.38%,representing improvements of 5.11%and 3.29%over the best baseline,respectively.Our results indicate that the integrated use of causal discovery and domainspecific knowledge graphs offers significant advantages for health rumor detection systems.This method not only improves detection performance but also enhances the transparency and credibility of model decisions by tracing causal chains and sources of knowledge conflicts.We anticipate that this work will provide key technological support for the development of trustworthy health-information filtering systems,thereby improving the reliability of public health information on social media.
基金supported by the National Natural Science Foundation of China(Nos.42305089 and 42175106)the Self-supporting Program of Guangzhou Laboratory(No.SRPG22-007)+1 种基金the Youth Science and Technology Fund Project of Gansu(No.22JR5RA512)the Fundamental Research Funds for the Central Universities(No.lzujbky-2022-pd05).
文摘Ambient fine particulate matter(PM_(2.5))pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global wealth inequality has intensified in recent years,yet the relationship between wealth inequality and health risks related to PM_(2.5) pollution remains poorly understood.In this study,we evaluated the global mortality and health cost at-tributable to PM_(2.5) exposure from 2017 to 2021,and analyzed the relationship between wealth inequality,PM_(2.5) pollution,and the associated health risks across regions with varying economic levels.We found a consistent decline in mortalities and health costs attributable to PM_(2.5) exposure from 2017 to 2020,followed by a rebound after 2020,driven primarily by the resurgence of PM_(2.5) concentrations and a deceleration in the reduction of baseline mortality rates.We also found that the average PM_(2.5) concentration and associated risks decrease as domestic wealth inequality decreases and national income level increases.However,regions with extremely high levels of wealth inequality consistently show lower national average PM_(2.5) concentrations and health risks.These findings highlight the need to consider healthcare security during emergencies,as well as policy fairness across economic regions,in the formulation of global PM_(2.5) pollution control measures to promote sustainable,more equitable economic growth and coordinated air pollution management.
文摘The intersection of visual impairment and mental health has profound effects on quality of life and warrants attention from healthcare providers,educators,and policymakers.With 20 million children under the age of 14 affected globally,older adults also experience significant psychological impact including depression,anxiety,and cognitive impairment.The implications of vision-related challenges extend far beyond mere sight.Depression and anxiety,exacerbated by social isolation and reduced physical activity,underscore the need for comprehensive interventions that address both medical and psychosocial dimensions.By recognizing the profound impact of ocular morbidities like strabismus,myopia,glaucoma,and age-related macular degeneration on mental health and investing in effective treatments and inclusive practices,society can pave the way for a healthier,more equitable future for affected individuals.There is evidence that myopic children experience a higher prevalence of depressive symptoms compared to their normal peers,and interventions like the correction of strabismus can enhance psychological outcome-demonstrating the value of an integrated management approach.
基金Supported by Chengdu Municipal Science and Technology Bureau Key R&D Support Program(No.2023-YF09-00041-SN)。
文摘AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANES)were analyzed,a nationally representative U.S.dataset.ERM was identified via retinal imaging based on the presence of cellophane changes.Key predictors included age group,eye surgery history,and refractive error,with additional demographic and health-related covariates.Weighted univariate and multiple logistic regression models were used to assess associations and interaction effects between eye surgery and refractive error.RESULTS:Totally 3925 participants were analyzed.Older age,eye surgery,and refractive errors were significantly associated with ERM.Compared to those under 65y,the odds ratio(OR)for ERM was 3.08 for ages 65–75y(P=0.0014)and 4.76 for ages 75+years(P=0.0069).Eye surgery increased ERM risk(OR=3.48,P=0.0018).Moderate to high hyperopia and myopia were also associated with ERM(OR=2.65 and 1.80,respectively).A significant interaction between refractive error and eye surgery was observed(P<0.0001).Moderate to high myopia was associated with ERM only in those without eye surgery(OR=1.92,P=0.0443).Eye surgery was most strongly associated with ERM in the emmetropic group(OR=3.60,P=0.0027),followed by the moderate to high myopia group(OR=3.01,P=0.0031).CONCLUSION:ERM is significantly associated with aging,eye surgery,and refractive errors.The interaction between eye surgery and refractive error modifies ERM risk and highlights the importance of considering combined effects in clinical risk assessments.These findings may help guide individualized ERM risk assessment that may inform personalized approaches to ERM prevention and management.
文摘There have been an increasing number of studies on climate change and population health over the past 20 years,with most focusing on health risk assessment,targeting different locations and populations with various diseases[1−2].While these studies have provided the necessary epidemiological evidence for health authorities in policymaking,it is time to develop and implement tailored health interventions to protect the health and well-being of communities,and particularly that of vulnerable groups.
文摘There has been an increase in mental health problems in Sub-Saharan Africa.Considering this,it is critical to track the region’s level of mental health literacy(MHL)to identify key mental health priorities and to direct the most effective interventions.The purpose of this study was to review the existing literature on MHL in sub-Saharan Africa.EBSCOhost(inclusive of Academic Search Ultimate,MEDLINE,APA PsycINFO,APA Psych Articles,and Global Health),CINAHL with full text,Wiley Online Library,Taylor and Francis Online Journals and Google Scholar databases were searched to retrieve relevant articles.The study only considered original full-text,peer-reviewed,English-written research on MHL carried out in sub-Saharan Africa and published between 2015 and 2023.Scoping review steps by Arksey and O’Malley(2005)were followed.Grey literature,review studies,and review protocols were excluded.The data was analysed using reflexive thematic analysis(RTA).The results showed that MHL varies within the region,making it difficult to determine the exact state.Furthermore,the study uncovered factors that contribute to both poor and better MHL in the region.Poor MHL was linked to residing in the township and being male.Better MHL was associated with higher education levels,being female,urban residence,and having a history of mental illness,among other factors.The studyfindings provide evidence-based recommendations for regional,policy,or legislative-led interventions and prioritisations of mental health education programs and public mental health campaigns to increase awareness of mental health.
文摘In the rapidly evolving landscape of digital health,the integration of data analytics and Internet healthserviceshasbecome a pivotal area of exploration.To meet keen social needs,Prof.Shan Liu(Xi'an Jiaotong University)and Prof.Xing Zhang(Wuhan Textile University)have published the timely book Datadriven Internet Health Platform Service Value Co-creation through China Science Press.The book focuses on the provision of medical and health services from doctors to patients through Internet health platforms,where the service value is co-created by three parties.
文摘Objective:This scoping review explores digital health interventions used to improve maternal health and the health of children under-5-year-olds in rural areas of low-and middle-income countries(LMICs),identifying current practices and research gaps.Methods:Guided by PRISMA Extension for Scoping Reviews,a comprehensive search was conducted across PubMed,Web of Science,and grey literature search with Google Scholar,and the South African National Elec-tronic Theses and Dissertations Portal.MeSH terms and Boolean operators were used.Studies were screened using the Population,Concept,and Context framework,and data were extracted systematically.Results:Of 5,114 records,63 met inclusion criteria.Digital health interventions,particularly mobile health,were found to enhance service delivery,education,and support for maternal and child health in LMICs.However,challenges such as limited access to technology,digital literacy,and cultural barriers persist.Contextual factors,including geography and sociocultural norms,significantly influenced implementation success.Conclusion:Digital health interventions show promise in improving maternal and child health in LMICs.How-ever,regional disparities,technological limitations,and cultural misalignment hinder scalability.Future research should focus on culturally adaptive,community-engaged approaches and long-term impact assessments to sup-port sustainable health promotion in low-resource settings.
文摘BACKGROUND Coronavirus disease 2019(COVID-19)disrupted healthcare and led to increased telehealth use.We explored the impact of COVID-19 on liver transplant evaluation(LTE).AIM To understand the impact of telehealth on LTE during COVID-19 and to identify disparities in outcomes disaggregated by sociodemographic factors.METHODS This was a retrospective study of patients who initiated LTE at our center from 3/16/20-3/16/21(“COVID-19 era”)and the year prior(3/16/19-3/15/20,“pre-COVID-19 era”).We compared LTE duration times between eras and explored the effects of telehealth and inpatient evaluations on LTE duration,listing,and pretransplant mortality.RESULTS One hundred and seventy-eight patients were included in the pre-COVID-19 era cohort and one hundred and ninety-nine in the COVID-19 era cohort.Twentynine percent(58/199)of COVID-19 era initial LTE were telehealth,compared to 0%(0/178)pre-COVID-19.There were more inpatient evaluations during COVID-19 era(40%vs 28%,P<0.01).Among outpatient encounters,telehealth use for initial LTE during COVID-19 era did not impact likelihood of listing,pretransplant mortality,or time to LTE and listing.Median times to LTE and listing during COVID-19 were shorter than pre-COVID-19,driven by increased inpatient evaluations.Sociodemographic factors were not predictive of telehealth.CONCLUSION COVID-19 demonstrates a shift to telehealth and inpatient LTE.Telehealth does not impact LTE or listing duration,likelihood of listing,or mortality,suggesting telehealth may facilitate LTE without negative outcomes.
文摘Objective: The health-related quality of life (HRQoL) theory was used to assess the health quality of elderly residents in Southwest China. This was done by using the European Five-Dimensional Health Scale in a comprehensive manner and by analysing the factors influencing it. The findings will provide new perspectives and ideas for improving the health-related quality of life of the elderly population and enhancing the precise health management of elderly residents. Methods: The response data of 1892 elderly residents in southwestern China were included in the analysis based on the CLHLS data. The factors influencing the occurrence of problems, EQ-VAS scores and health utility values were analysed by logistic regression, multiple linear regression and Tobit regression, respectively. Results: The primary health concerns among the elderly population in the Southwest region were limited ability to perform daily activities and pain or discomfort. These individuals exhibited an EQ-VAS self-assessment score of 66.51 ± 14.87 and a health utility value of 0.87 (0.70, 1.00). Gender, age, regular medical check-ups, exercise habits and the prevalence of chronic diseases are the main influencing factors. Conclusions: The health quality of elderly people in Southwest China needs to be improved, and a comprehensive management strategy can be adopted in terms of lifestyle management, health needs management and disease management to improve the quality of their healthy lives and promote the development of healthy ageing.
文摘Rehabilitation for patients with chronic physical conditions,such as stroke,spinal cord injury,and fibromyalgia,is predominantly focused on physical recovery,often neglecting the affective and social dimensions crucial for comprehensive health outcomes.This oversight contributes to a significant mental health burden,with up to40%of rehabilitating patients experiencing depression or anxiety.This perspective article reviews evidence from social and affective neuroscience to highlight the urgent need to integrate well-being as a central component of rehabilitation.We propose a holistic rehabilitation model that includes psychological,affective,and social interventions alongside physical therapies.This model draws on existing studies demonstrating that emotional resilience and social support are key predictors of successful rehabilitation outcomes.Patients with strong social and affective well-being are more likely to adhere to treatment protocols and achieve better physical recovery.Conversely,neglecting these dimensions can exacerbate mental health conditions,leading to what we identify as a"second wave"of health crises—mental health conditions triggered by chronic physical ailments.By adopting this holistic approach,healthcare systems can improve immediate rehabilitation outcomes,prevent the long-term escalation of mental health issues,and reduce the overall burden on global mental health services,ultimately enhancing the quality of life for patients worldwide.
