Objective:The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods.Conditions such as anxiety,depression,stress,bipolar disorder(BD),a...Objective:The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods.Conditions such as anxiety,depression,stress,bipolar disorder(BD),and autism spectrum disorder(ASD)frequently arise from the complex interplay of demographic,biological,and socioeconomic factors,resulting in aggravated symptoms.This review investigates machine intelligence approaches for the early detection and prediction of mental health conditions.Methods:The preferred reporting items for systematic reviews and meta-analyses(PRISMA)framework was employed to conduct a systematic review and analysis covering the period 2018 to 2025.The potential impact of machine intelligence methods was assessed by considering various strategies,hybridization of algorithms,tools,techniques,and datasets,and their applicability.Results:Through a systematic review of studies concentrating on the prediction and evaluation of mental disorders using machine intelligence algorithms,advancements,limitations,and gaps in current methodologies were highlighted.The datasets and tools utilized in these investigations were examined,offering a detailed overview of the status of computational models in understanding and diagnosing mental health disorders.Recent research indicated considerable improvements in diagnostic accuracy and treatment effectiveness,particularly for depression and anxiety,which have shown the greatest methodological diversity and notable advancements in machine intelligence.Conclusions:Despite these improvements,challenges persist,including the need for more diverse datasets,ethical issues surrounding data privacy and algorithmic bias,and obstacles to integrating these technologies into clinical settings.This synthesis emphasizes the transformative potential of machine intelligence in enhancing mental healthcare.展开更多
BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an e...BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.展开更多
Although the English article system is ostensibly composed of two basic forms,“a/an”and“the”actual usage demonstrates a high degree of semantic complexity and cognitive diversity.Traditional grammatical frameworks...Although the English article system is ostensibly composed of two basic forms,“a/an”and“the”actual usage demonstrates a high degree of semantic complexity and cognitive diversity.Traditional grammatical frameworks often treat article usage through a dichotomy of“specific vs.non-specific reference”,yet struggle to effectively explain numerous marginal and unconventional linguistic phenomena,such as expressions like“go to the hospital”and“a Mr.Brown”.With the development of cognitive linguistics,language is viewed as an externalization of mental activity,and the intrinsic connection between linguistic structure and cognitive mechanisms has gained increasing attention.This paper,grounded in Ronald Langacker’s Cognitive Grammar theory,systematically analyzes the semantic construction process and cognitive motivations of English articles by integrating cognitive mechanisms such as figure-ground alignment,subjectivity,and mental spaces.By combining typical sentence examples,the paper reveals the deep cognitive structures underlying article usage from the dual perspectives of semantic representation and communicative function,aiming to provide a more explanatory theoretical framework for the grammatical teaching and cognitive research of English articles.展开更多
With the increasing prevalence of mental disorders,regional mental health service systems face challenges including uneven resource distribution,inefficient referral pathways,and fragmented information.To address thes...With the increasing prevalence of mental disorders,regional mental health service systems face challenges including uneven resource distribution,inefficient referral pathways,and fragmented information.To address these issues,a platform-based bidirectional referral model centered on a municipal psychiatric specialty hospital was developed and implemented,linking community hospitals and county-level psychiatric departments.A unified regional mental health information platform was used to integrate patient data.Community hospitals conducted preliminary screening,county-level psychiatric departments performed referral assessment,and the municipal psychiatric specialty hospital made centralized evaluation and admission decisions.The implementation results demonstrated standardized screening processes,clearer referral pathways,reduced unnecessary hospitalizations,improved accuracy of patient admission,and enhanced mental health service capacity at the primary care level.This model contributes to optimizing mental health resource allocation and improving the efficiency of tiered mental health services.展开更多
Objectives:Recently,the global esports industry has experienced remarkable growth,leading to an expansion in the scale and influence of professional player communities.However,despite this outward growth,systems to pr...Objectives:Recently,the global esports industry has experienced remarkable growth,leading to an expansion in the scale and influence of professional player communities.However,despite this outward growth,systems to protect players’mental health remain inadequate.Comprehensive analysis of structural risk factors,including performance pressure,public evaluation,and career instability,remains insufficient.This study,aimed to explore stressors encountered by esports athletes,coping strategies,and the role of social support systems in safeguarding mental health.Using the transactional model of stress and coping,the job demands–resources model,and social support theory,the study adopts an integrated perspective to examine challenges faced by athletes in the competitive esports environment.Methods:A qualitative case study was conducted involving in-depth interviews and nonparticipant observations with 11 esports athletes who competed at national or international levels,as well as two team managers.Thematic analysis identified recurring patterns in the data,and credibility was ensured through triangulation and cross-review among researchers.Results:Esports athletes experience multiple interacting stressors,including performance demands,emotional strain duringmatches,and continuous evaluation on socialmedia.In response,they employed coping strategies—problem-focused,emotion-focused,and avoidance-based,which provided temporary relief but often led to burnout and self-regulation failure owing to absence of support systems.Social support networks had ambivalent effects:while offering comfort,they also intensified pressure through negative feedback and high expectations from fans and online communities.Conclusion:The findings show that mental health issues among esports athletes are not only related to individual factors but are closely linked to performance-driven structures,competitive environments,and social relationships.This study integrates the transactional model of stress and coping,the JobDemands–Resourcesmodel,and social support theoryto provide comprehensive analysis.It also offers practical recommendations,including psychological counseling,emotional labor programs,and improved communication with families and fan communities.展开更多
BACKGROUND Postpartum depression(PPD)is a prevalent and debilitating psychiatric disorder affecting maternal mental health,infant development,and family well-being.Despite increasing global awareness,significant dispa...BACKGROUND Postpartum depression(PPD)is a prevalent and debilitating psychiatric disorder affecting maternal mental health,infant development,and family well-being.Despite increasing global awareness,significant disparities remain in screening,diagnosis,and treatment,particularly in low-resource and culturally diverse settings.The complex interplay of biological and psychosocial determinants complicates conventional intervention models.Integrating epidemiological patterns,pathophysiological mechanisms,and sociocultural factors will inform more effective and equitable strategies for PPD screening,prevention,and treatment.METHODS A narrative review was conducted following PRISMA 2020 guidelines.Peer-reviewed studies published from January 2010 to May 2025 were systematically searched in PubMed,Web of Science,EMBASE,and PsycINFO.Inclusion criteria comprised studies addressing PPD epidemiology,risk stratification,biological mechanisms,and intervention strategies.After screening and full-text review,84 studies were included.Study designs primarily involved cohort studies,randomized controlled trials,and meta-analyses.Extracted data were categorized thematically and assessed for methodological quality and generalizability.RESULTS PPD arises from multifactorial interactions involving hormonal dysregulation,neurochemical changes,psychosocial stressors,and cultural influences.Primary risk factors include personal or family history of depression,antenatal anxiety,low maternal self-efficacy,and inadequate social support.Evidence-based interventions encompass Edinburgh Postnatal Depression Scale-based screening,cognitive behavioral therapy,interpersonal psychotherapy,psychoeducation,and pharmacological treatments such as brexanolone and zuranolone.Culturally adapted,community-integrated models—including stepped-care approaches and task-shifting—improve feasibility and scalability,particularly in underserved populations.Emerging evidence highlights inflammatory biomarkers(e.g.,interleukin-6 and C-reactive protein),AI-assisted screening tools,and family-inclusive strategies as promising for enhanced detection and outcomes.CONCLUSION Effective PPD management requires integrative,culturally sensitive approaches,prioritizing scalable,personalized non-pharmacological interventions to reduce disparities and enhance maternal mental health equity across diverse populations.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
In this editorial,we comment on the study of the Yu et al on psychological distress in patients with hepatobiliary and pancreatic malignancies.Hepatobiliary and pancreatic malignancies include hepatocellular carcinoma...In this editorial,we comment on the study of the Yu et al on psychological distress in patients with hepatobiliary and pancreatic malignancies.Hepatobiliary and pancreatic malignancies include hepatocellular carcinoma,cholangiocarcinoma,gallbladder cancer and pancreatic cancer.These cancers are among the most aggressive and difficult to treat.Although improvements in surgery,drug treatments and palliative care have led to better survival rates and quality of life,the significant psychological impact on patients remains underrecognized.Anxiety and depression are prevalent at every stage of the disease,from the initial diagnosis to treatment,recurrence and end-of-life care.However,these issues often take a backseat to the urgent need to manage physical symptoms.Mental health challenges can greatly affect how well patients follow treatment plans,recover and their overall outlook.Yu et al explore the causes of psychological distress in hepatobiliary and pancreatic cancers,including disease severity,symptom burden,financial stress and fears about life and death.We highlight the importance of regular mental health screenings,psychological support and teamwork in oncology care.By focusing on emotional health alongside physical treatment,doctors can build resilience,improve outcomes and address a frequently ignored aspect of cancer care.展开更多
BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emoti...BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emotional states is imperative.AIM To evaluate the efficacy of cognitive behavioral therapy(CBT)-based psychological interventions in improving the psychological well-being and quality of life(QoL)of patients with laryngeal carcinoma.METHODS This study enrolled 120 patients admitted from February 2022 to February 2024.The control group,comprising 50 participants,received standard supportive psychological care,while the research group,consisting 70 participants,underwent CBT-based interventions.Several clinical outcomes were systematically assessed that included postoperative recovery metrics(duration of tracheostomy and nasogastric tube dependence and length of hospitalization),psychological status(Self-Rating Anxiety Scale and Self-Rating Depression Scale),nutritional markers(serum albumin and hemoglobin levels),sleep quality(Self-Rating Scale of Sleep and Athens Insomnia Scale),and QoL(Functional Assessment of Cancer Therapy-Head and Neck).RESULTS The results demonstrated that the research group experienced superior outcomes,with significantly reduced durations of tracheostomy and nasogastric tube dependence,as well as shorter hospital stays,compared with the control group.Additionally,the research group exhibited markedly lower post-intervention Self-Rating Anxiety Scale,Self-Rating Depression Scale,Self-Rating Scale of Sleep,and Athens Insomnia Scale scores,along with minimal but higher change in serum albumin and hemoglobin levels compared with the control group.All five domains of Functional Assessment of Cancer Therapy-Head and Neck showed notable improvements in the research group,exceeding those observed in the control group.CONCLUSION CBT-based psychological support positively affects the mental well-being and QoL of patients with laryngeal carcinoma,highlighting its potential for broader clinical application.展开更多
Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve thro...Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve throughout the disease course.This review examined 95 studies(2000-2025)from PubMed,Web of Science,and CNKI databases including longitudinal cohorts,randomized controlled trials,and mixed-methods research,to characterize the complex interplay between biological,psychological,and social factors affecting RA patients’mental health.Findings revealed three distinct vulnerability trajectories(45%persistently low,30%fluctuating improvement,25%persistently high)and four adaptation stages,with critical intervention periods occurring 3-6 months postdiagnosis and during disease flares.Multiple factors significantly influence psychological outcomes,including gender(females showing 1.8-fold increased risk),age(younger patients experiencing 42%higher vulnerability),pain intensity,inflammatory markers,and neuroendocrine dysregulation(48%showing cortisol rhythm disruption).Early psychological intervention(within 3 months of diagnosis)demonstrated robust benefits,reducing depression incidence by 42%with effects persisting 24-36 months,while different modalities showed complementary advantages:Cognitive behavioral therapy for depression(Cohen’s d=0.68),mindfulness for pain acceptance(38%improvement),and peer support for meaning reconstruction(25.6%increase).These findings underscore the importance of integrating routine psychological assessment into standard RA care,developing stage-appropriate interventions,and advancing research toward personalized biopsychosocial approaches that address the dynamic psychological dimensions of the disease.展开更多
Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This...Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.展开更多
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
BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recogn...BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recognized in family-centered clinical practice.Concurrently,against the backdrop of rising rates of delayed marriage and China’s Maternity Incentive Policy,the proportion of women giving birth at an advanced maternal age is increasing.Nevertheless,research specifically examining PPD among spouses of older mothers remains critically scarce,both in China and globally.AIM To investigate PPD and its influencing factors in Chinese advanced maternal age families.METHODS This cross-sectional study included 358 participants;it was conducted among fathers of pregnant women of advanced maternal age at five hospitals in the Pearl River Delta region of China from September 2023 to June 2024.Data were collected via a general information questionnaire,the Social Support Rating Scale,and the Edinburgh Postnatal Depression Scale.Latent profile analysis and regression mixture models(RMMs)were adopted to analyze the latent PPD types and factors that influenced PPD.RESULTS The incidence of PPD was 16.48%,and three profiles were identified:Low-symptomatic(175 cases,48.89%),monophasic(140 cases,39.10%),and high-symptomatic(43 cases,12.01%).The RMM analysis revealed that first pregnancy,low income(<¥3000/month),part-time work,and a history of abnormal pregnancy were positively associated with the high-symptomatic type(P<0.05).Conversely,high subjective support and support utilization were negatively associated with the high-symptomatic type compared with the low-symptomatic type(P<0.05).Good couple relationships,high objective and subjective support,and high support utilization were negatively associated with monophasic disorder(P<0.05).CONCLUSION PPD incidence is high among Chinese fathers with advanced maternal age partners,and the characteristics of depression are varied.Healthcare practitioners should prioritize individuals with low levels of social support.展开更多
Early-life stress is associated with a high prevalence of mental illnesses such as post-traumatic stress disorders,attention-deficit/hyperactivity disorder,schizophrenia,and anxiety or depressive behavior,which consti...Early-life stress is associated with a high prevalence of mental illnesses such as post-traumatic stress disorders,attention-deficit/hyperactivity disorder,schizophrenia,and anxiety or depressive behavior,which constitute major public health problems.In the early stages of brain development after birth,events such as synaptogenesis,neuron maturation,and glial differentiation occur in a highly orchestrated manner,and external stress can cause adverse long-term effects throughout life.Our body utilizes multifaceted mechanisms,including neuroendocrine and neurotransmitter signaling pathways,to appropriately process external stress.Newborn individuals first exposed to early-life stress deploy neurogenesis as a stress-defense mechanism;however,in adulthood,early-life stress induces apoptosis of mature neurons,activation of immune responses,and reduction of neurotrophic factors,leading to anxiety,depression,and cognitive and memory dysfunction.This process involves the hypothalamus-pituitary-adrenal axis and neurotransmitters secreted by the central nervous system,including norepinephrine,dopamine,and serotonin.The rodent early-life stress model is generally used to experimentally assess the effects of stress during neurodevelopment.This paper reviews the use of the early-life stress model and stress response mechanisms of the body and discusses the experimental results regarding how early-life stress mediates stress-related pathways at a high vulnerability of psychiatric disorder in adulthood.展开更多
Mental disorder is defined as a syndrome characterized by clinically significant disturbance in an individual’s cognition, emotion, or behavior that reflects a dysfunction in the psychological, biological, or develop...Mental disorder is defined as a syndrome characterized by clinically significant disturbance in an individual’s cognition, emotion, or behavior that reflects a dysfunction in the psychological, biological, or developmental processes underlying mental functioning (DSM-V).展开更多
AIM To investigate which foods are the most nutrient dense sources of nutrients demonstrated by the scientific literature to play a role in the prevention and promotion of recovery from depressive disorders. METHODS A...AIM To investigate which foods are the most nutrient dense sources of nutrients demonstrated by the scientific literature to play a role in the prevention and promotion of recovery from depressive disorders. METHODS A systematic literature review was conducted to derive a list of Antidepressant Nutrients from the 34 nutrients known to be essential for humans using level of evidence criteria. Nutritional data was extracted for a subset of foods with a high content of at least 1 Antidepressant Nutrient using a USDA database. These foods were analyzed for Antidepressant Nutrient density resulting in an Antidepressant Food Score(AFS). Plant and animal foods were analyzed separately. RESULTS Twelve Antidepressant Nutrients relate to the prevention and treatment of depressive disorders: Folate, iron, longchain omega-3 fatty acids(EPA and DHA), magnesium, potassium, selenium, thiamine, vitamin A, vitamin B6, vitamin B12, vitamin C, and zinc. The highest scoring foods were bivalves such as oysters and mussels, various seafoods, and organ meats for animal foods. The highest scoring plant foods were leafy greens, lettuces, peppers, and cruciferous vegetables. CONCLUSION The AFS is based on a nutrient profiling system devised to identify foods with the highest nutrient density of nutrients with clinical evidence to support theirrole in depressive disorders. This list of foods and food categories with the highest density of the 12 Antidepressant Nutrients, the Antidepressant Foods, should be considered by researchers in the design of future intervention studies and clinicians as dietary options to support prevention and recovery from depression disorders.展开更多
BACKGROUND Sleep problems are particularly prevalent in people with depression or anxiety disorder.Although mindfulness has been suggested as an important component in alleviating insomnia,no comprehensive review and ...BACKGROUND Sleep problems are particularly prevalent in people with depression or anxiety disorder.Although mindfulness has been suggested as an important component in alleviating insomnia,no comprehensive review and meta-analysis has been conducted to evaluate the effects of different mindfulness-based intervention(MBI)programs on sleep among people with depression or anxiety disorder.AIM To compare the effects of different MBI programs on sleep among people with depression or anxiety disorder.METHODS Related publications in Embase,Medline,PubMed and PsycINFO databases were systematically searched from January 2010 to June 2020 for randomised controlled trials.Data were synthesized using a random-effects or a fixed-effects model to analyse the effects of various MBI programs on sleep problems among people with depression or anxiety disorder.The fixed-effects model was used when heterogeneity was negligible,and the random-effects model was used when heterogeneity was significant to calculate the standardised mean differences(SMDs)and 95%confidence intervals(CIs).RESULTS We identified 397 articles,of which 10 randomised controlled trials,involving a total of 541 participants,were included in the meta-analysis.Studies of internet mindfulness meditation intervention(IMMI),mindfulness meditation(MM),mindfulness-based cognitive therapy(MBCT),mindfulness-based stress reduction(MBSR)and mindfulness-based touch therapy(MBTT)met the inclusion criteria.The greatest effect sizes are reported in favour of MBTT,with SMDs of-1.138(95%CI:-1.937 to-0.340;P=0.005),followed by-1.003(95%CI:-1.645 to-0.360;P=0.002)for MBCT.SMDs of-0.618(95%CI:-0.980 to-0.257;P=0.001)and-0.551(95%CI:-0.842 to-0.260;P<0.0001)were reported for IMMI and MBSR in the pooling trials,respectively.Significant effects on sleep problem improvement are shown in all reviewed MBI programs,except MM,for which the effect size was shown to be nonsignificant.CONCLUSION All MBI programs(MBTT,MBCT,IMMI and MBSR),except MM,are effective options to improve sleep problems among people with depression or anxiety disorder.展开更多
BACKGROUND Children diagnosed with autism spectrum disorder(ASD)may have great difficulties when their routines change,and this may affect the psychological wellbeing of their parents.For this reason,it is important t...BACKGROUND Children diagnosed with autism spectrum disorder(ASD)may have great difficulties when their routines change,and this may affect the psychological wellbeing of their parents.For this reason,it is important to examine studies that address the mental health of parents in order to adapt to the coronavirus disease 2019(COVID-19)pandemic.AIM To determine the mental health status of parents with children diagnosed with ASD in the COVID-19 pandemic.METHODS The study,which is a systematic review,was conducted between December 15,2020 and December 30,2020 by scanning articles in English.The Scopus,Science Direct,PubMed,Cochrane,Web of Science,and Google Scholar databases were used for scanning.The keywords COVID-19 AND(“autism”OR“autistic”OR“autism spectrum disorder”)AND parent AND(“mental health”OR“anxiety”OR“stress”)were used in the search process.The inclusion criteria in the study were findings regarding the mental health of parents with children diagnosed with ASD in the COVID-19 pandemic,addressing their anxiety and stress situations,being a research article,and accessing the full text of the article.RESULTS In the study,a total of 6389 articles were reached,and the full texts of 173 articles were evaluated for eligibility.After the articles excluded by the full-text search were eliminated,12 studies involving 7105 parents were included in the analysis.The findings obtained from the articles containing data on mental health in the COVID-19 pandemic of parents with children with autism spectrum disorder were discussed in three groups.These were findings on the experiences of parents with children with ASD in the COVID-19 pandemic regarding the areas where parents with children with ASD need support in the COVID-19 pandemic and methods of coping with the COVID-19 pandemic for parents with children with ASD.In the systematic review,it was determined that the anxiety and stress of the parents increased,they needed more support compared to the pre-pandemic period,and they had difficulty coping.CONCLUSION In this systematic review,it was concluded that the COVID-19 pandemic negatively affected the mental health of the parents of children with ASD.展开更多
Objective:This study examined patients with systemic lupus erythematosus(SLE)as a means to explore the impacts of chronic disease on life courses.Methods:A semi-structured in-depth interviews were conducted with nine ...Objective:This study examined patients with systemic lupus erythematosus(SLE)as a means to explore the impacts of chronic disease on life courses.Methods:A semi-structured in-depth interviews were conducted with nine patients in China in 2017;participants were included based on their having or having had facial butterfly erythema.Results:The study focused on both the disease's impact on the patients'health and on their daily lives.Four core themes emerged:visible changes in the patient's bodies,social dilemmas,"the encouragement of disease",and a new perspective on the relationship between disease and health.One important finding was that the occurrence of a chronic disease did not have only negative repercussions;some patients felt that there were advantages to being sick.Chronic disease resulted in a reworking of daily life.The patients developed a self-referential model of healing.Conclusion:The distinct interpretations of the same disease offered by different patients served to yield a more complete understanding of the disease.People with SLE adjust their thinking about the disease based on personal feelings as well as experiences and pursue a dialogue on their illness based on the disease pattern unique to them.The meaning that disease had for the patients was not limited to negative connotations.展开更多
BACKGROUND Over the last few decades,3 pathogenic pandemics have impacted the global population;severe acute respiratory syndrome coronavirus(SARS-CoV),Middle East respiratory syndrome coronavirus(MERS-CoV)and SARS-Co...BACKGROUND Over the last few decades,3 pathogenic pandemics have impacted the global population;severe acute respiratory syndrome coronavirus(SARS-CoV),Middle East respiratory syndrome coronavirus(MERS-CoV)and SARS-CoV-2.The global disease burden has attributed to millions of deaths and morbidities,with the majority being attributed to SARS-CoV-2.As such,the evaluation of the mental health(MH)impact across healthcare professionals(HCPs),patients and the general public would be an important facet to evaluate to better understand short,medium and long-term exposures.AIM To identify and report:(1)MH conditions commonly observed across all 3 pandemics;(2)Impact of MH outcomes across HCPs,patients and the general public associated with all 3 pandemics;and(3)The prevalence of the MH impact and clinical epidemiological significance.METHODS A systematic methodology was developed and published on PROSPERO(CRD42021228697).The databases PubMed,EMBASE,ScienceDirect and the Cochrane Central Register of Controlled Trials were used as part of the data extraction process,and publications from January 1,1990 to August 1,2021 were searched.MeSH terms and keywords used included Mood disorders,PTSD,Anxiety,Depression,Psychological stress,Psychosis,Bipolar,Mental Health,Unipolar,Self-harm,BAME,Psychiatry disorders and Psychological distress.The terms were expanded with a‘snowballing’method.Cox-regression and the Monte-Carlo simulation method was used in addition to I2 and Egger’s tests to determine heterogeneity and publication bias.RESULTS In comparison to MERS and SARS-CoV,it is evident SAR-CoV-2 has an ongoing MH impact,with emphasis on depression,anxiety and post-traumatic stress disorder.CONCLUSION It was evident MH studies during MERS and SARS-CoV was limited in comparison to SARS-CoV-2,with much emphasis on reporting symptoms of depression,anxiety,stress and sleep disturbances.The lack of comprehensive studies conducted during previous pandemics have introduced limitations to the“know-how”for clinicians and researchers to better support patients and deliver care with limited healthcare resources.展开更多
文摘Objective:The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods.Conditions such as anxiety,depression,stress,bipolar disorder(BD),and autism spectrum disorder(ASD)frequently arise from the complex interplay of demographic,biological,and socioeconomic factors,resulting in aggravated symptoms.This review investigates machine intelligence approaches for the early detection and prediction of mental health conditions.Methods:The preferred reporting items for systematic reviews and meta-analyses(PRISMA)framework was employed to conduct a systematic review and analysis covering the period 2018 to 2025.The potential impact of machine intelligence methods was assessed by considering various strategies,hybridization of algorithms,tools,techniques,and datasets,and their applicability.Results:Through a systematic review of studies concentrating on the prediction and evaluation of mental disorders using machine intelligence algorithms,advancements,limitations,and gaps in current methodologies were highlighted.The datasets and tools utilized in these investigations were examined,offering a detailed overview of the status of computational models in understanding and diagnosing mental health disorders.Recent research indicated considerable improvements in diagnostic accuracy and treatment effectiveness,particularly for depression and anxiety,which have shown the greatest methodological diversity and notable advancements in machine intelligence.Conclusions:Despite these improvements,challenges persist,including the need for more diverse datasets,ethical issues surrounding data privacy and algorithmic bias,and obstacles to integrating these technologies into clinical settings.This synthesis emphasizes the transformative potential of machine intelligence in enhancing mental healthcare.
基金Supported by Inter Disciplinary Direction Cultivation Project of Hunan University of Chinese Medicine,No.2025JC01032025 Hunan Province Science and Technology Innovation Plan Project,No.2025RC9012+2 种基金2022"Unveiling and Leading"Project of Discipline Construction at Hunan University of Chinese Medicine,No.22JBZ044Changsha Municipal Natural Science Foundation,No.kq2402174Hunan Provincial Science Popularization Fund Project,No.2025ZK4223.
文摘BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.
文摘Although the English article system is ostensibly composed of two basic forms,“a/an”and“the”actual usage demonstrates a high degree of semantic complexity and cognitive diversity.Traditional grammatical frameworks often treat article usage through a dichotomy of“specific vs.non-specific reference”,yet struggle to effectively explain numerous marginal and unconventional linguistic phenomena,such as expressions like“go to the hospital”and“a Mr.Brown”.With the development of cognitive linguistics,language is viewed as an externalization of mental activity,and the intrinsic connection between linguistic structure and cognitive mechanisms has gained increasing attention.This paper,grounded in Ronald Langacker’s Cognitive Grammar theory,systematically analyzes the semantic construction process and cognitive motivations of English articles by integrating cognitive mechanisms such as figure-ground alignment,subjectivity,and mental spaces.By combining typical sentence examples,the paper reveals the deep cognitive structures underlying article usage from the dual perspectives of semantic representation and communicative function,aiming to provide a more explanatory theoretical framework for the grammatical teaching and cognitive research of English articles.
文摘With the increasing prevalence of mental disorders,regional mental health service systems face challenges including uneven resource distribution,inefficient referral pathways,and fragmented information.To address these issues,a platform-based bidirectional referral model centered on a municipal psychiatric specialty hospital was developed and implemented,linking community hospitals and county-level psychiatric departments.A unified regional mental health information platform was used to integrate patient data.Community hospitals conducted preliminary screening,county-level psychiatric departments performed referral assessment,and the municipal psychiatric specialty hospital made centralized evaluation and admission decisions.The implementation results demonstrated standardized screening processes,clearer referral pathways,reduced unnecessary hospitalizations,improved accuracy of patient admission,and enhanced mental health service capacity at the primary care level.This model contributes to optimizing mental health resource allocation and improving the efficiency of tiered mental health services.
文摘Objectives:Recently,the global esports industry has experienced remarkable growth,leading to an expansion in the scale and influence of professional player communities.However,despite this outward growth,systems to protect players’mental health remain inadequate.Comprehensive analysis of structural risk factors,including performance pressure,public evaluation,and career instability,remains insufficient.This study,aimed to explore stressors encountered by esports athletes,coping strategies,and the role of social support systems in safeguarding mental health.Using the transactional model of stress and coping,the job demands–resources model,and social support theory,the study adopts an integrated perspective to examine challenges faced by athletes in the competitive esports environment.Methods:A qualitative case study was conducted involving in-depth interviews and nonparticipant observations with 11 esports athletes who competed at national or international levels,as well as two team managers.Thematic analysis identified recurring patterns in the data,and credibility was ensured through triangulation and cross-review among researchers.Results:Esports athletes experience multiple interacting stressors,including performance demands,emotional strain duringmatches,and continuous evaluation on socialmedia.In response,they employed coping strategies—problem-focused,emotion-focused,and avoidance-based,which provided temporary relief but often led to burnout and self-regulation failure owing to absence of support systems.Social support networks had ambivalent effects:while offering comfort,they also intensified pressure through negative feedback and high expectations from fans and online communities.Conclusion:The findings show that mental health issues among esports athletes are not only related to individual factors but are closely linked to performance-driven structures,competitive environments,and social relationships.This study integrates the transactional model of stress and coping,the JobDemands–Resourcesmodel,and social support theoryto provide comprehensive analysis.It also offers practical recommendations,including psychological counseling,emotional labor programs,and improved communication with families and fan communities.
文摘BACKGROUND Postpartum depression(PPD)is a prevalent and debilitating psychiatric disorder affecting maternal mental health,infant development,and family well-being.Despite increasing global awareness,significant disparities remain in screening,diagnosis,and treatment,particularly in low-resource and culturally diverse settings.The complex interplay of biological and psychosocial determinants complicates conventional intervention models.Integrating epidemiological patterns,pathophysiological mechanisms,and sociocultural factors will inform more effective and equitable strategies for PPD screening,prevention,and treatment.METHODS A narrative review was conducted following PRISMA 2020 guidelines.Peer-reviewed studies published from January 2010 to May 2025 were systematically searched in PubMed,Web of Science,EMBASE,and PsycINFO.Inclusion criteria comprised studies addressing PPD epidemiology,risk stratification,biological mechanisms,and intervention strategies.After screening and full-text review,84 studies were included.Study designs primarily involved cohort studies,randomized controlled trials,and meta-analyses.Extracted data were categorized thematically and assessed for methodological quality and generalizability.RESULTS PPD arises from multifactorial interactions involving hormonal dysregulation,neurochemical changes,psychosocial stressors,and cultural influences.Primary risk factors include personal or family history of depression,antenatal anxiety,low maternal self-efficacy,and inadequate social support.Evidence-based interventions encompass Edinburgh Postnatal Depression Scale-based screening,cognitive behavioral therapy,interpersonal psychotherapy,psychoeducation,and pharmacological treatments such as brexanolone and zuranolone.Culturally adapted,community-integrated models—including stepped-care approaches and task-shifting—improve feasibility and scalability,particularly in underserved populations.Emerging evidence highlights inflammatory biomarkers(e.g.,interleukin-6 and C-reactive protein),AI-assisted screening tools,and family-inclusive strategies as promising for enhanced detection and outcomes.CONCLUSION Effective PPD management requires integrative,culturally sensitive approaches,prioritizing scalable,personalized non-pharmacological interventions to reduce disparities and enhance maternal mental health equity across diverse populations.
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In this editorial,we comment on the study of the Yu et al on psychological distress in patients with hepatobiliary and pancreatic malignancies.Hepatobiliary and pancreatic malignancies include hepatocellular carcinoma,cholangiocarcinoma,gallbladder cancer and pancreatic cancer.These cancers are among the most aggressive and difficult to treat.Although improvements in surgery,drug treatments and palliative care have led to better survival rates and quality of life,the significant psychological impact on patients remains underrecognized.Anxiety and depression are prevalent at every stage of the disease,from the initial diagnosis to treatment,recurrence and end-of-life care.However,these issues often take a backseat to the urgent need to manage physical symptoms.Mental health challenges can greatly affect how well patients follow treatment plans,recover and their overall outlook.Yu et al explore the causes of psychological distress in hepatobiliary and pancreatic cancers,including disease severity,symptom burden,financial stress and fears about life and death.We highlight the importance of regular mental health screenings,psychological support and teamwork in oncology care.By focusing on emotional health alongside physical treatment,doctors can build resilience,improve outcomes and address a frequently ignored aspect of cancer care.
文摘BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emotional states is imperative.AIM To evaluate the efficacy of cognitive behavioral therapy(CBT)-based psychological interventions in improving the psychological well-being and quality of life(QoL)of patients with laryngeal carcinoma.METHODS This study enrolled 120 patients admitted from February 2022 to February 2024.The control group,comprising 50 participants,received standard supportive psychological care,while the research group,consisting 70 participants,underwent CBT-based interventions.Several clinical outcomes were systematically assessed that included postoperative recovery metrics(duration of tracheostomy and nasogastric tube dependence and length of hospitalization),psychological status(Self-Rating Anxiety Scale and Self-Rating Depression Scale),nutritional markers(serum albumin and hemoglobin levels),sleep quality(Self-Rating Scale of Sleep and Athens Insomnia Scale),and QoL(Functional Assessment of Cancer Therapy-Head and Neck).RESULTS The results demonstrated that the research group experienced superior outcomes,with significantly reduced durations of tracheostomy and nasogastric tube dependence,as well as shorter hospital stays,compared with the control group.Additionally,the research group exhibited markedly lower post-intervention Self-Rating Anxiety Scale,Self-Rating Depression Scale,Self-Rating Scale of Sleep,and Athens Insomnia Scale scores,along with minimal but higher change in serum albumin and hemoglobin levels compared with the control group.All five domains of Functional Assessment of Cancer Therapy-Head and Neck showed notable improvements in the research group,exceeding those observed in the control group.CONCLUSION CBT-based psychological support positively affects the mental well-being and QoL of patients with laryngeal carcinoma,highlighting its potential for broader clinical application.
基金Supported by Chongqing Health Commission and Chongqing Science and Technology Bureau,No.2023MSXM182。
文摘Rheumatoid arthritis(RA)patients face significant psychological challenges alongside physical symptoms,necessitating a comprehensive understanding of how psychological vulnerability and adaptation patterns evolve throughout the disease course.This review examined 95 studies(2000-2025)from PubMed,Web of Science,and CNKI databases including longitudinal cohorts,randomized controlled trials,and mixed-methods research,to characterize the complex interplay between biological,psychological,and social factors affecting RA patients’mental health.Findings revealed three distinct vulnerability trajectories(45%persistently low,30%fluctuating improvement,25%persistently high)and four adaptation stages,with critical intervention periods occurring 3-6 months postdiagnosis and during disease flares.Multiple factors significantly influence psychological outcomes,including gender(females showing 1.8-fold increased risk),age(younger patients experiencing 42%higher vulnerability),pain intensity,inflammatory markers,and neuroendocrine dysregulation(48%showing cortisol rhythm disruption).Early psychological intervention(within 3 months of diagnosis)demonstrated robust benefits,reducing depression incidence by 42%with effects persisting 24-36 months,while different modalities showed complementary advantages:Cognitive behavioral therapy for depression(Cohen’s d=0.68),mindfulness for pain acceptance(38%improvement),and peer support for meaning reconstruction(25.6%increase).These findings underscore the importance of integrating routine psychological assessment into standard RA care,developing stage-appropriate interventions,and advancing research toward personalized biopsychosocial approaches that address the dynamic psychological dimensions of the disease.
文摘Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.
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 High-level Professional Groups in Gangdong Province,No.GSPZYQ2020101Guangdong Province Educational Research Planning Project,No.2024GXJK742。
文摘BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recognized in family-centered clinical practice.Concurrently,against the backdrop of rising rates of delayed marriage and China’s Maternity Incentive Policy,the proportion of women giving birth at an advanced maternal age is increasing.Nevertheless,research specifically examining PPD among spouses of older mothers remains critically scarce,both in China and globally.AIM To investigate PPD and its influencing factors in Chinese advanced maternal age families.METHODS This cross-sectional study included 358 participants;it was conducted among fathers of pregnant women of advanced maternal age at five hospitals in the Pearl River Delta region of China from September 2023 to June 2024.Data were collected via a general information questionnaire,the Social Support Rating Scale,and the Edinburgh Postnatal Depression Scale.Latent profile analysis and regression mixture models(RMMs)were adopted to analyze the latent PPD types and factors that influenced PPD.RESULTS The incidence of PPD was 16.48%,and three profiles were identified:Low-symptomatic(175 cases,48.89%),monophasic(140 cases,39.10%),and high-symptomatic(43 cases,12.01%).The RMM analysis revealed that first pregnancy,low income(<¥3000/month),part-time work,and a history of abnormal pregnancy were positively associated with the high-symptomatic type(P<0.05).Conversely,high subjective support and support utilization were negatively associated with the high-symptomatic type compared with the low-symptomatic type(P<0.05).Good couple relationships,high objective and subjective support,and high support utilization were negatively associated with monophasic disorder(P<0.05).CONCLUSION PPD incidence is high among Chinese fathers with advanced maternal age partners,and the characteristics of depression are varied.Healthcare practitioners should prioritize individuals with low levels of social support.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.2021R1C1C100328611)Pusan National University Research Grant,2020(both to EMJ)。
文摘Early-life stress is associated with a high prevalence of mental illnesses such as post-traumatic stress disorders,attention-deficit/hyperactivity disorder,schizophrenia,and anxiety or depressive behavior,which constitute major public health problems.In the early stages of brain development after birth,events such as synaptogenesis,neuron maturation,and glial differentiation occur in a highly orchestrated manner,and external stress can cause adverse long-term effects throughout life.Our body utilizes multifaceted mechanisms,including neuroendocrine and neurotransmitter signaling pathways,to appropriately process external stress.Newborn individuals first exposed to early-life stress deploy neurogenesis as a stress-defense mechanism;however,in adulthood,early-life stress induces apoptosis of mature neurons,activation of immune responses,and reduction of neurotrophic factors,leading to anxiety,depression,and cognitive and memory dysfunction.This process involves the hypothalamus-pituitary-adrenal axis and neurotransmitters secreted by the central nervous system,including norepinephrine,dopamine,and serotonin.The rodent early-life stress model is generally used to experimentally assess the effects of stress during neurodevelopment.This paper reviews the use of the early-life stress model and stress response mechanisms of the body and discusses the experimental results regarding how early-life stress mediates stress-related pathways at a high vulnerability of psychiatric disorder in adulthood.
基金supported by the National Institutes of Health National Institute on Drug Abuse (R21DA040777)
文摘Mental disorder is defined as a syndrome characterized by clinically significant disturbance in an individual’s cognition, emotion, or behavior that reflects a dysfunction in the psychological, biological, or developmental processes underlying mental functioning (DSM-V).
文摘AIM To investigate which foods are the most nutrient dense sources of nutrients demonstrated by the scientific literature to play a role in the prevention and promotion of recovery from depressive disorders. METHODS A systematic literature review was conducted to derive a list of Antidepressant Nutrients from the 34 nutrients known to be essential for humans using level of evidence criteria. Nutritional data was extracted for a subset of foods with a high content of at least 1 Antidepressant Nutrient using a USDA database. These foods were analyzed for Antidepressant Nutrient density resulting in an Antidepressant Food Score(AFS). Plant and animal foods were analyzed separately. RESULTS Twelve Antidepressant Nutrients relate to the prevention and treatment of depressive disorders: Folate, iron, longchain omega-3 fatty acids(EPA and DHA), magnesium, potassium, selenium, thiamine, vitamin A, vitamin B6, vitamin B12, vitamin C, and zinc. The highest scoring foods were bivalves such as oysters and mussels, various seafoods, and organ meats for animal foods. The highest scoring plant foods were leafy greens, lettuces, peppers, and cruciferous vegetables. CONCLUSION The AFS is based on a nutrient profiling system devised to identify foods with the highest nutrient density of nutrients with clinical evidence to support theirrole in depressive disorders. This list of foods and food categories with the highest density of the 12 Antidepressant Nutrients, the Antidepressant Foods, should be considered by researchers in the design of future intervention studies and clinicians as dietary options to support prevention and recovery from depression disorders.
文摘BACKGROUND Sleep problems are particularly prevalent in people with depression or anxiety disorder.Although mindfulness has been suggested as an important component in alleviating insomnia,no comprehensive review and meta-analysis has been conducted to evaluate the effects of different mindfulness-based intervention(MBI)programs on sleep among people with depression or anxiety disorder.AIM To compare the effects of different MBI programs on sleep among people with depression or anxiety disorder.METHODS Related publications in Embase,Medline,PubMed and PsycINFO databases were systematically searched from January 2010 to June 2020 for randomised controlled trials.Data were synthesized using a random-effects or a fixed-effects model to analyse the effects of various MBI programs on sleep problems among people with depression or anxiety disorder.The fixed-effects model was used when heterogeneity was negligible,and the random-effects model was used when heterogeneity was significant to calculate the standardised mean differences(SMDs)and 95%confidence intervals(CIs).RESULTS We identified 397 articles,of which 10 randomised controlled trials,involving a total of 541 participants,were included in the meta-analysis.Studies of internet mindfulness meditation intervention(IMMI),mindfulness meditation(MM),mindfulness-based cognitive therapy(MBCT),mindfulness-based stress reduction(MBSR)and mindfulness-based touch therapy(MBTT)met the inclusion criteria.The greatest effect sizes are reported in favour of MBTT,with SMDs of-1.138(95%CI:-1.937 to-0.340;P=0.005),followed by-1.003(95%CI:-1.645 to-0.360;P=0.002)for MBCT.SMDs of-0.618(95%CI:-0.980 to-0.257;P=0.001)and-0.551(95%CI:-0.842 to-0.260;P<0.0001)were reported for IMMI and MBSR in the pooling trials,respectively.Significant effects on sleep problem improvement are shown in all reviewed MBI programs,except MM,for which the effect size was shown to be nonsignificant.CONCLUSION All MBI programs(MBTT,MBCT,IMMI and MBSR),except MM,are effective options to improve sleep problems among people with depression or anxiety disorder.
文摘BACKGROUND Children diagnosed with autism spectrum disorder(ASD)may have great difficulties when their routines change,and this may affect the psychological wellbeing of their parents.For this reason,it is important to examine studies that address the mental health of parents in order to adapt to the coronavirus disease 2019(COVID-19)pandemic.AIM To determine the mental health status of parents with children diagnosed with ASD in the COVID-19 pandemic.METHODS The study,which is a systematic review,was conducted between December 15,2020 and December 30,2020 by scanning articles in English.The Scopus,Science Direct,PubMed,Cochrane,Web of Science,and Google Scholar databases were used for scanning.The keywords COVID-19 AND(“autism”OR“autistic”OR“autism spectrum disorder”)AND parent AND(“mental health”OR“anxiety”OR“stress”)were used in the search process.The inclusion criteria in the study were findings regarding the mental health of parents with children diagnosed with ASD in the COVID-19 pandemic,addressing their anxiety and stress situations,being a research article,and accessing the full text of the article.RESULTS In the study,a total of 6389 articles were reached,and the full texts of 173 articles were evaluated for eligibility.After the articles excluded by the full-text search were eliminated,12 studies involving 7105 parents were included in the analysis.The findings obtained from the articles containing data on mental health in the COVID-19 pandemic of parents with children with autism spectrum disorder were discussed in three groups.These were findings on the experiences of parents with children with ASD in the COVID-19 pandemic regarding the areas where parents with children with ASD need support in the COVID-19 pandemic and methods of coping with the COVID-19 pandemic for parents with children with ASD.In the systematic review,it was determined that the anxiety and stress of the parents increased,they needed more support compared to the pre-pandemic period,and they had difficulty coping.CONCLUSION In this systematic review,it was concluded that the COVID-19 pandemic negatively affected the mental health of the parents of children with ASD.
文摘Objective:This study examined patients with systemic lupus erythematosus(SLE)as a means to explore the impacts of chronic disease on life courses.Methods:A semi-structured in-depth interviews were conducted with nine patients in China in 2017;participants were included based on their having or having had facial butterfly erythema.Results:The study focused on both the disease's impact on the patients'health and on their daily lives.Four core themes emerged:visible changes in the patient's bodies,social dilemmas,"the encouragement of disease",and a new perspective on the relationship between disease and health.One important finding was that the occurrence of a chronic disease did not have only negative repercussions;some patients felt that there were advantages to being sick.Chronic disease resulted in a reworking of daily life.The patients developed a self-referential model of healing.Conclusion:The distinct interpretations of the same disease offered by different patients served to yield a more complete understanding of the disease.People with SLE adjust their thinking about the disease based on personal feelings as well as experiences and pursue a dialogue on their illness based on the disease pattern unique to them.The meaning that disease had for the patients was not limited to negative connotations.
基金Supported by Southern Health NHS Foundation Trust.
文摘BACKGROUND Over the last few decades,3 pathogenic pandemics have impacted the global population;severe acute respiratory syndrome coronavirus(SARS-CoV),Middle East respiratory syndrome coronavirus(MERS-CoV)and SARS-CoV-2.The global disease burden has attributed to millions of deaths and morbidities,with the majority being attributed to SARS-CoV-2.As such,the evaluation of the mental health(MH)impact across healthcare professionals(HCPs),patients and the general public would be an important facet to evaluate to better understand short,medium and long-term exposures.AIM To identify and report:(1)MH conditions commonly observed across all 3 pandemics;(2)Impact of MH outcomes across HCPs,patients and the general public associated with all 3 pandemics;and(3)The prevalence of the MH impact and clinical epidemiological significance.METHODS A systematic methodology was developed and published on PROSPERO(CRD42021228697).The databases PubMed,EMBASE,ScienceDirect and the Cochrane Central Register of Controlled Trials were used as part of the data extraction process,and publications from January 1,1990 to August 1,2021 were searched.MeSH terms and keywords used included Mood disorders,PTSD,Anxiety,Depression,Psychological stress,Psychosis,Bipolar,Mental Health,Unipolar,Self-harm,BAME,Psychiatry disorders and Psychological distress.The terms were expanded with a‘snowballing’method.Cox-regression and the Monte-Carlo simulation method was used in addition to I2 and Egger’s tests to determine heterogeneity and publication bias.RESULTS In comparison to MERS and SARS-CoV,it is evident SAR-CoV-2 has an ongoing MH impact,with emphasis on depression,anxiety and post-traumatic stress disorder.CONCLUSION It was evident MH studies during MERS and SARS-CoV was limited in comparison to SARS-CoV-2,with much emphasis on reporting symptoms of depression,anxiety,stress and sleep disturbances.The lack of comprehensive studies conducted during previous pandemics have introduced limitations to the“know-how”for clinicians and researchers to better support patients and deliver care with limited healthcare resources.
