Nature mental health最新文献

{"title":"Improving refugee mental health through resilience and research","authors":"","doi":"10.1038/s44220-024-00363-6","DOIUrl":"10.1038/s44220-024-00363-6","url":null,"abstract":"The dramatic increase in refugees and people who have been displaced by climate-driven natural disasters, as well as by political unrest and conflict, requires broad rethinking about how aid is provided. In addition to covering basic physical needs, the mental health needs of refugees must also be considered.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1263-1264"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00363-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A health-equity framework for tailoring digital non-pharmacological interventions in aging","authors":"Adam Turnbull, Michelle C. Odden, Christine E. Gould, Ehsan Adeli, Robert M. Kaplan, Feng Vankee Lin","doi":"10.1038/s44220-024-00347-6","DOIUrl":"10.1038/s44220-024-00347-6","url":null,"abstract":"If designed with health equity in mind, digital non-pharmacological interventions (NPIs) represent a cost-effective, scalable means of reducing health disparities associated with age-related mental health disorders in older adults in the USA. However, disparities in technological access, literacy and effectiveness can limit the impact of these interventions in older adults from disadvantaged groups. We present a health-equity-promoting framework for the development of digital NPIs for age-related mental health disorders and provide an example from the literature that highlights how interventions can be targeted at specific groups to increase technological access, literacy and effectiveness to ensure that these interventions can meet their potential of reducing health disparities. Presenting a health-equity-promoting framework, this Perspective argues for considering access to technology, health literacy and effectiveness in digital non-pharmacological interventions for older adults.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1277-1284"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strengthening autonomy in mental health care through a relational approach","authors":"Paola Buedo, Timothy Daly","doi":"10.1038/s44220-024-00337-8","DOIUrl":"10.1038/s44220-024-00337-8","url":null,"abstract":"Respect for autonomy is foundational to all types of clinical care, and receiving mental health care places people in a vulnerable situation that has a direct impact on their ability to live as they choose, making concerns about autonomy central. The classical understanding of personal autonomy, which still influences medical guidelines, is based on an individualistic framework and is inadequate for ethical mental health care. The goal of this Comment is to articulate why the relational autonomy model, developed in feminist bioethics, is a necessary approach for the mental health field.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1271-1272"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A dual-continuum framework to evaluate climate change impacts on mental health","authors":"Francis Vergunst, Rachel Williamson, Alessandro Massazza, Helen L. Berry, Miranda Olff","doi":"10.1038/s44220-024-00326-x","DOIUrl":"10.1038/s44220-024-00326-x","url":null,"abstract":"Climate change is driving a suite of stressors that could increase the global mental health burden. In this Perspective we consider three mental health frameworks to evaluate this burden. The pathogenic framework focuses on symptom management in the presence or absence of mental disorders. The salutogenic framework emphasizes factors related to psychological wellbeing such as personal strengths, resilience and socio-environmental resources. The third approach—the dual-continuum or ‘complete state’ framework—considers mental disorders and psychological wellbeing simultaneously. Drawing on the cross-disciplinary literature, we find that the dual-continuum framework is a practical and empirically valid approach to evaluate climate-related impacts on mental health. This is because mental disorders and reduced wellbeing, though related, are conceptually and empirically distinct, and encompass different climate-related antecedents and psychosocial endpoints. Both are necessary to evaluate the full burden of climate change. In this Perspective, the authors present a framework for evaluating the burden of climate change to mental health that considers both mental disorders and psychological wellbeing.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1318-1326"},"PeriodicalIF":0.0,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New insights from gene expression patterns on the neurobiological basis of risky behavior","authors":"Gökhan Aydogan, Christian C. Ruff","doi":"10.1038/s44220-024-00333-y","DOIUrl":"10.1038/s44220-024-00333-y","url":null,"abstract":"The tendency to engage in risky behavior relates to genetic predispositions and brain structure, but the molecular pathways linking genes to neuroanatomical changes remain elusive. A recent study reveals how specific gene expression patterns shape brain structures associated with risk-taking, suggesting a mechanistic pathway from genes to maladaptive behavior.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1273-1274"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors","authors":"Ran Goldblatt, Nathalie Holz, Garrett W. Tate, Kari Sherman, Selamawit Ghebremicael, Soumitra S. Bhuyan, Yazan A. Al-Ajlouni, Sara Santillanes, Ghermay Araya, Shermaine Abad, Megan M. Herting, Wesley K. Thompson, Bishal Thapaliya, Ram Sapkota, Jiayuan Xu, Jingyu Liu, The environMENTAL consortium, Gunter Schumann, Vince D. Calhoun","doi":"10.1038/s44220-024-00318-x","DOIUrl":"10.1038/s44220-024-00318-x","url":null,"abstract":"Although numerous studies over the past decade have highlighted the influence of environmental factors on mental health, globally applicable data on physical surroundings such as land cover and urbanicity are still limited. The urban environment is complex and composed of many interacting factors. To understand how urban living affects mental health, simultaneous measures of multiple environmental factors need to be related to symptoms of mental illness, while considering the underlying brain structure and function. So far, most studies have assessed individual urban environmental factors, such as greenness, in isolation and related them to individual symptoms of mental illness. We have refined the satellite-based ‘Urban Satellite’ (UrbanSat) measures, consisting of 11 satellite-data-derived environmental indicators, and linked them through residential addresses with participants of the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is the largest ongoing longitudinal and observational study exploring brain development and child health, involving 11,800 children, assessed at 9–16 years of age, from 21 sites across the USA. Here we describe linking of the ABCD Study data with UrbanSat variables, including each subject’s residential address at their baseline visit, including land cover and land use, nighttime lights and population characteristics. We also highlight and discuss important links of the satellite-data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides an important tool for advancing neurobehavioral research on urbanicity during the critical developmental periods of childhood and adolescence. In this Perspective, the authors present a model of assessing urban environmental factors’ impact on mental health by using UrbanSat measures and data from adolescents in the ABCD Study.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1285-1297"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing brain health in the global south through a sex and gender lens","authors":"Sandra Baez, Laura Castro-Aldrete, Gabrielle B. Britton, Agustin Ibañez, Antonella Santuccione-Chadha","doi":"10.1038/s44220-024-00339-6","DOIUrl":"10.1038/s44220-024-00339-6","url":null,"abstract":"Gender inequality substantially impacts society, disproportionately disadvantaging women, especially in the global south. This inequality correlates with brain health outcomes for women, including a higher risk of cognitive decline and dementia. Here we highlight how sex-linked biology and gender disparities affect women’s brain health in the global south through various pathways, such as a differential exposomes, health behaviors and gender biases in research and healthcare systems. Alzheimer’s disease and other brain health conditions exemplify how sex-specific risk factors and gender-related health barriers interact to influence brain health. We advocate for incorporating sex/gender considerations in research, policy and clinical practice to improve brain health interventions in the global south. Additionally, we propose using the patient and public involvement framework to effectively tailor health strategies that address these factors. This Perspective discusses how gender disparities affect women’s brain health in the global south and proposes strategies to improve brain health outcomes by incorporating sex and gender considerations in research, policy and clinical practice and using the patient and public involvement framework.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1308-1317"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing computational psychiatry through a social lens","authors":"Shawn A. Rhoads, Xiaosi Gu, Joseph M. Barnby","doi":"10.1038/s44220-024-00343-w","DOIUrl":"10.1038/s44220-024-00343-w","url":null,"abstract":"Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1268-1270"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing a consent-forward paradigm for digital mental health data","authors":"Sachin R. Pendse, Logan Stapleton, Neha Kumar, Munmun De Choudhury, Stevie Chancellor","doi":"10.1038/s44220-024-00330-1","DOIUrl":"10.1038/s44220-024-00330-1","url":null,"abstract":"The field of digital mental health is advancing at a rapid pace. Passively collected data from user engagements with digital tools and services continue to contribute insights into mental health and illness. As the field of digital mental health grows, a concerning norm has been established—digital service users are given little say over how their data are collected, shared or used to generate revenue for private companies. Given a long history of service-user exclusion from data collection practices, we propose an alternative approach that is attentive to this history: the consent-forward paradigm. This paradigm embeds principles of affirmative consent in the design of digital mental health tools and services, which may strengthen trust around individual choices and needs, and proactively protect users from unexpected harm. In this Perspective, we outline practical steps to implement this paradigm, toward ensuring that people searching for care have the safest experiences possible. In this Perspective, the authors discuss a consent-forward paradigm that embeds principles of affirmative consent in the design of digital mental health tools and services and protects users from unexpected harm.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1298-1307"},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building personalized machine learning models using real-time monitoring data to predict idiographic suicidal thoughts","authors":"Shirley B. Wang, Ruben D. I. Van Genugten, Yaniv Yacoby, Weiwei Pan, Kate H. Bentley, Suzanne A. Bird, Ralph J. Buonopane, Alexis Christie, Merryn Daniel, Dylan DeMarco, Adam Haim, Lia Follet, Rebecca G. Fortgang, Flynn Kelly-Brunyak, Evan M. Kleiman, Alexander J. Millner, Onyinye Obi-Obasi, J. P. Onnela, Narise Ramlal, Jordyn R. Ricard, Jordan W. Smoller, Tida Tambedou, Kelly L. Zuromski, Matthew K. Nock","doi":"10.1038/s44220-024-00335-w","DOIUrl":"10.1038/s44220-024-00335-w","url":null,"abstract":"Suicide risk is highest immediately after psychiatric hospitalization, but the field lacks methods for identifying which patients are at greatest risk, and when. We built personalized models predicting suicidal thoughts after psychiatric hospital visits (N = 89 patients), using ecological momentary assessment (EMA; average EMA responses per participant = 311). We built several idiographic models, including baseline autoregressive and elastic net models (using single train/test split) and Gaussian process (GP) models (using an iterative rolling-forward prediction method). Simple GP models provided the best prediction of suicidal urges (R2average = 0.17), outperforming baseline autoregressive (R2average = 0.10) and elastic net (R2average = 0.06) models. Similarly, simple GP models provided the best prediction of suicidal intent (R2average = 0.12) compared to autoregressive (R2average = 0.08) and elastic net (R2average = 0.04). Here we show that idiographic prediction of suicidal thoughts is possible, although the accuracy is currently modest. Building GP models that iteratively update and learn symptom dynamics over time could provide important information to inform the development of just-in-time adaptive interventions. Using ecological monetary assessment, this study presents findings from idiographic models built to predict suicidal ideation in individuals after psychiatric hospitalization.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1382-1391"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}