Nature mental health最新文献

{"title":"Effects of exposure to pandemic-related stressors on anxiety and mood difficulty during versus before the COVID-19 pandemic in United States Army soldiers and veterans.","authors":"Ronald C Kessler, Amy M Millikan-Bell, Emily R Edwards, Sarah M Gildea, Andrew J King, Howard Liu, Maria V Petukhova, Nancy A Sampson, Hannah N Ziobrowski, James R Wagner, Murray B Stein, Robert J Ursano","doi":"10.1038/s44220-025-00505-4","DOIUrl":"https://doi.org/10.1038/s44220-025-00505-4","url":null,"abstract":"<p><p>Military personnel are routinely involved in pandemic relief efforts, placing them at risk of increased exposure to pandemic-related stressors. Although ample research suggests exposure to pandemic-related stressors contributed to decrements in mental health among civilians during the COVID-19 pandemic, limited work has examined whether these patterns were also salient in military populations. The Army Study to Assess Risk and Resilience in Servicemembers (STARRS) Longitudinal Study screened for 30-day prevalence of major depressive episode, generalized anxiety disorder, post-traumatic stress disorder, and panic attack among n=10,206 US Army soldiers and veterans before (2018-2019) and then again during (2020-2022) the COVID-19 pandemic. Statistically significant increases were found in prevalence, with relative-risk (RR) comparable to those observed in civilian samples (RR=1.28-1.40). Greatest increases occurred among women, Blacks, Hispanics, those of lower socio-economic status, and Regular Army soldiers relative to reservists and those separated from service. Exposures to pandemic-related stressors, although associated with significantly increased mental health difficulty (RR=1.06-1.17), did not explain associations of socio-demographics and Army career characteristics with difficulty RR. No significant interactions were found between pandemic-related stressors and either baseline difficulty prevalence, socio-demographics or Army career characteristics predicting difficulty RR. Results suggest military personnel may experience pandemic-related decrements in mental health comparable to those observed in civilian samples, with largest changes among personnel with greater socioeconomic vulnerability and/or greatest exposure to pandemic-related stress. Findings emphasize the importance of ensuring accessibility of appropriate supports for military personnel during pandemic conditions.</p>","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":" ","pages":""},"PeriodicalIF":8.7,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12490745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234458","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":"Mapping Multimodal Risk Factors to Mental Health Outcomes.","authors":"Robert J Jirsaraie, Deanna M Barch, Ryan Bogdan, Scott A Marek, Janine D Bijsterbosch, Aristeidis Sotiras, Nicole R Karcher","doi":"10.1038/s44220-025-00500-9","DOIUrl":"10.1038/s44220-025-00500-9","url":null,"abstract":"<p><p>A key challenge in predicting a person's state of mind is that there are a wide range of contributing factors that each have a subtle, yet significant, influence on mental health. We applied data mining techniques to identify the most important risk factors for predicting current symptoms and longitudinal outcomes from the Adolescent Brain Cognitive Developmental study (n = 11,552). Our results consistently revealed that social conflicts were the strongest predictors of psychopathology, especially family fighting and reputational damage between peers. Sex-differences also emerged as a critical factor for predicting long-term mental health outcomes. Neuroimaging derived metrics were consistently the least informative. While these findings provide novel insight into the developmental origins of psychopathology, our best performing models could only explain up to 40% of the variation between individuals. Future research is needed to obtain a more complete understanding of all the factors that meaningfully contribute to mental health.</p>","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":" ","pages":""},"PeriodicalIF":8.7,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12442533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088354","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":"Changing the narrative in suicide prevention","authors":"","doi":"10.1038/s44220-025-00504-5","DOIUrl":"10.1038/s44220-025-00504-5","url":null,"abstract":"Despite progress, suicide remains one of the leading causes of death worldwide. Changing the narrative means moving beyond stigma and embracing a collective agenda across communities, health systems and policy to implement solutions and to prevent avoidable deaths.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"957-958"},"PeriodicalIF":8.7,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00504-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123492","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":"Changes in polygenic burden for psychiatric disorders across two decades of birth cohorts","authors":"Mette Lise Lousdal,&nbsp;Sonja LaBianca,&nbsp;Esben Agerbo,&nbsp;Clara Albiñana,&nbsp;Bjarni J. Vilhjálmsson,&nbsp;John J. McGrath,&nbsp;Andrew J. Schork,&nbsp;Oleguer Plana-Ripoll","doi":"10.1038/s44220-025-00478-4","DOIUrl":"10.1038/s44220-025-00478-4","url":null,"abstract":"During recent decades, the incidence of several psychiatric disorders has increased, but no previous study has investigated whether the polygenic burden based on common variants for psychiatric disorders in diagnosed individuals has changed over time. Here we aimed to explore changes in polygenic scores for schizophrenia, depression, autism and attention deficit hyperactivity disorder (ADHD) in the general population and in case populations according to birth cohorts. The iPSYCH2015 is a Danish population-based case–cohort study, including individuals born between 1981 and 2008, who were followed for a psychiatric diagnosis between 1994 and 2015. We included 41,132 individuals from the random subcohort and 60,293 individuals diagnosed with schizophrenia spectrum disorders, depression, autism or ADHD. We estimated changes in polygenic scores across birth years based on linear regression. The average polygenic score was stable in the random subcohort but decreased across birth years in case populations, most predominantly for schizophrenia (per 10 years: −0.13 s.d., 95% confidence interval (CI) −0.18 to −0.07) but also for depression (−0.06 s.d., 95% CI −0.10 to −0.03) and autism (−0.08 s.d., 95% CI −0.13 to −0.04) and to a limited degree for ADHD (−0.03 s.d., 95% CI −0.08 to 0.02). Moreover, we estimated how the hazard ratio for being diagnosed given a 1 s.d. increase in polygenic score changed according to birth year, which decreased for schizophrenia but remained stable for the other disorders. Finally, we estimated the number of additional cases per 1 s.d. increase in polygenic score according to birth year, which decreased for both schizophrenia and depression, whereas autism and ADHD showed increases. In conclusion, the polygenic burden for psychiatric disorders changed across two decades among diagnosed individuals in Denmark. For schizophrenia, the polygenic score itself and its predictive ability decreased over time, whereas depression, autism and ADHD showed diverse changes. Lousdal et al. investigate the changes in polygenic scores for schizophrenia, depression, autism and attention deficit hyperactivity disorder using data from a Danish population-based case–cohort study that includes individuals born between 1981 and 2008.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1037-1045"},"PeriodicalIF":8.7,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123482","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 co-produced national study of suicide bereavement: from experience to evidence","authors":"Eve Griffin,&nbsp;Selena O’Connell,&nbsp;Karl Andriessen,&nbsp;Ella Arensman,&nbsp;Fiona Tuomey","doi":"10.1038/s44220-025-00488-2","DOIUrl":"10.1038/s44220-025-00488-2","url":null,"abstract":"In this Comment, we describe the design, conduct and impact of a collaborative co-produced national study of suicide bereavement, including people with lived or living experience in the research. We highlight crucial gaps and challenges that need to be addressed.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"966-968"},"PeriodicalIF":8.7,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123490","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":"Saving lives, one voice at a time","authors":"Ana Donnelly","doi":"10.1038/s44220-025-00492-6","DOIUrl":"10.1038/s44220-025-00492-6","url":null,"abstract":"In this Q&amp;A, we speak to Lakshmi Vijayakumar, a psychiatrist, researcher and founder of SNEHA , a suicide-prevention organization in India. Over the past four decades, her work — from tackling youth suicides to shaping laws and working with refugees — has saved countless lives, mainly because of her unshakeable belief in change. Here she speaks candidly about her journey, the challenges of changing minds, and the urgency of treating suicide as both a mental health and social issue.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"961-962"},"PeriodicalIF":8.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123488","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":"Understanding the ‘silent crisis’ of suicide in the construction industry and the way forward","authors":"Olivia Remes","doi":"10.1038/s44220-025-00487-3","DOIUrl":"10.1038/s44220-025-00487-3","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"959-960"},"PeriodicalIF":8.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123642","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":"Rethinking suicide prevention: insights from the global south for a new global agenda","authors":"Daiane B. Machado","doi":"10.1038/s44220-025-00491-7","DOIUrl":"10.1038/s44220-025-00491-7","url":null,"abstract":"Despite decades of scientific advances, suicide remains a global public health challenge shaped by deep social, economic and cultural inequalities. Although substantial resources have been allocated to prevention efforts, these strategies have overwhelmingly been designed, tested and implemented based on evidence generated in high-income countries. As a result, the models and interventions commonly adopted worldwide often fail to adequately capture the diverse realities of the global south. Here we argue that the global south offers critical insights for rethinking suicide prevention, illustrating how socioeconomic factors, cultural practices and community connection and resilience shape mental health outcomes and suicide risk. Rather than relying exclusively on individual-centered, clinical approaches, a broader and more context-sensitive framework is necessary, one that integrates structural determinants, promotes social justice and values epistemological diversity. Through an analysis of epidemiological trends, mental health constructs, cultural practices, theoretical frameworks and public policy interventions, this Perspective proposes a reconceptualization of suicide-prevention strategies that move beyond traditional paradigms. This Perspective challenges the traditional approaches to suicide prevention research, which are often rooted in studies from high-income countries. It advocates for culturally informed, community-based strategies, drawing on successful examples from the global south.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"982-990"},"PeriodicalIF":8.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00491-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123485","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":"Functional neuroimaging highlights sex as a critical variable in depression research","authors":"Malvika Sridhar,&nbsp;Wiebke Struckmann,&nbsp;Noriah D. Johnson,&nbsp;Martin Tik,&nbsp;Cammie E. Rolle,&nbsp;Ian H. Kratter,&nbsp;Nolan R. Williams","doi":"10.1038/s44220-025-00477-5","DOIUrl":"10.1038/s44220-025-00477-5","url":null,"abstract":"Major depressive disorder (MDD) is a prevalent psychiatric illness marked by notable changes in mood, behavior and cognition. Emerging evidence indicates that depression can differ by sex in terms of onset, symptoms and treatment response. While modern psychiatry acknowledges sex differences in epidemiology, we are yet to identify biomarkers that could guide sex-specific interventions. Recent discoveries in MDD research point towards alterations in functional brain network patterns. This Perspective highlights the rationale for using resting-state functional magnetic resonance imaging (rs-fMRI) to identify sex differences in MDD. We present preliminary evidence for sex-based differences in depression from the limited existing rs-fMRI literature. Although limited and heterogeneous in their design, the results point towards the need for larger research studies. Furthermore, in female individuals, hormonal fluctuations during specific life phases pose a substantial risk for the onset of depressive episodes. We advocate that future studies integrate sex as an essential factor in MDD research and utilize resting-state functional connectivity to identify sex-specific neural features and biomarkers. We finally recommend ways to incorporate menstrual and reproductive cycle data into depression research to develop better diagnostic tools and personalized treatment strategies. Major depressive disorder (MDD) exhibits sex-specific differences in onset, symptoms and treatment response, yet biomarkers for guiding sex-specific interventions remain unidentified. Here the authors propose the use of resting-state functional magnetic resonance imaging to uncover sex-based neural differences in MDD, advocating for larger studies to enhance diagnostic tools and personalized treatments.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"974-981"},"PeriodicalIF":8.7,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123408","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":"An encompassing Mendelian randomization study of the causes and consequences of major depressive disorder","authors":"Joëlle A. Pasman,&nbsp;Jacob Bergstedt,&nbsp;Arvid Harder,&nbsp;Tong Gong,&nbsp;Ying Xiong,&nbsp;Sara Hägg,&nbsp;Fang Fang,&nbsp;Jorien L. Treur,&nbsp;Karmel W. Choi,&nbsp;Patrick F. Sullivan,&nbsp;Yi Lu","doi":"10.1038/s44220-025-00471-x","DOIUrl":"10.1038/s44220-025-00471-x","url":null,"abstract":"Major depressive disorder (MDD) is a prevalent and debilitating disorder whose causes and consequences remain insufficiently understood. Genetic variants can be used to study causal relationships with other traits. Here we reviewed 201 MDD-associated traits and performed genetic correlation analyses for 115 traits, two-sample Mendelian randomization for 89 of them, and one-sample Mendelian randomization for an additional 43 outcomes, applying sensitivity tests and power analyses. We show that MDD liability increases risk for poorer circadian, cognitive, diet, medical disease, endocrine, functional, inflammatory, metabolic, mortality, physical activity, reproduction, risk behavior, social, socioeconomic and suicide outcomes. Most associations were bidirectional, although with weaker evidence for diet, disease and endocrine traits causing MDD risk. These findings provide a systematic overview of traits putatively causally linked to MDD—confirming known links and identifying new ones—and underscore MDD as a cross-cutting risk factor across medical, functional and psychosocial domains. The authors analyze genetic correlations and perform Mendelian randomization to reveal bidirectional links between major depressive disorder and various traits, highlighting its role as an important risk factor across medical, functional and psychosocial domains and identifying potential causal relationships.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1002-1011"},"PeriodicalIF":8.7,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042341","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}