Nature mental health最新文献

{"title":"Rethinking suicide prevention in schools starts with implementation","authors":"Jo Robinson, Samuel McKay, Belén Vargas","doi":"10.1038/s44220-025-00484-6","DOIUrl":"10.1038/s44220-025-00484-6","url":null,"abstract":"Schools offer unparalleled reach for youth suicide prevention, particularly in low- and middle-income countries, where access to mental health care is limited. However, poor integration into education systems, short-term funding and weak links between health and education limit the impact of many programs. We call for systemic implementation approaches that embed prevention within school priorities, increase cross-sector collaboration, build on existing initiatives such as anti-bullying programs, and align policy and data to deliver sustainable, scalable strategies that reduce suicide risk among young people.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"963-965"},"PeriodicalIF":8.7,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123489","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 systematic review of conceptualizations and statistical methods in longitudinal studies of resilience","authors":"Dieter Wolke, Yanlin Zhou, Yiwen Liu, Robert Eves, Marina Mendonça, E. Sabrina Twilhaar","doi":"10.1038/s44220-025-00479-3","DOIUrl":"10.1038/s44220-025-00479-3","url":null,"abstract":"Resilience research seeks to understand how protective factors interact with adversity to yield positive outcomes over time. However, inconsistent conceptualizations and diverse methodologies limit comparability across studies. In this systematic review (preregistered on PROSPERO CRD42019138732 ), we examined 193 longitudinal psychosocial resilience studies published over the past 30 years, including 805,660 participants across all age groups. We analyzed (1) conceptualizations of resilience as a trait, outcome or process; (2) statistical approaches (variable-centered, person-centered or combined); (3) types of models and their relationship to adversity (for example, protective, promotive, vulnerability, differential susceptibility); and (4) heterogeneity in adversity, outcomes and promotive or protective factors. Most studies lacked an explicit resilience definition, and only 32% explicitly defined it as a trait (6%), an outcome (19%) or a process (8%). Variable-centered approaches predominated (85%), with most studies testing moderation and identifying protective/promotive effects, while few supported differential susceptibilities. Adversities were primarily childhood- or family-based, with mental health outcomes most common. Protective factors spanned individual, family and community levels, while neurobiological factors were rarely considered. We offer recommendations from our review to improve clarity and consistency in conceptualizing, operationalizing and interpreting resilience in longitudinal research. This research systematically reviewed 193 longitudinal studies on psychosocial resilience, revealing inconsistent definitions, predominant variable-centered methodologies and a focus on childhood adversities, while highlighting the need for clearer conceptual frameworks and improved operationalization in future investigations.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1088-1099"},"PeriodicalIF":8.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00479-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123483","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":"Global, regional and national trends in suicide mortality rates across 102 countries from 1990 to 2021 with projections up to 2050","authors":"Soeun Kim, Selin Woo, Namwoo Kim, Hyeri Lee, Jaeyu Park, Tae Kim, Guillaume Fond, Laurent Boyer, Masoud Rahmati, Lee Smith, Guillermo F. López Sánchez, Elena Dragioti, Christa J. Nehs, Jinseok Lee, Hayeon Lee, Hyeon Jin Kim, Jiseung Kang, Dong Keon Yon","doi":"10.1038/s44220-025-00474-8","DOIUrl":"10.1038/s44220-025-00474-8","url":null,"abstract":"Global trends and future projections of suicide mortality are crucial to providing policy decision-makers with insights into estimating the global and future burden of suicide; however, they require techniques accounting for the effects of age, period and cohort on trends in suicide mortality and considering various factors such as population growth and aging. Therefore, we aimed to estimate the global trends in suicide mortality rates from 1990 to 2021 and the future projection of suicide deaths until 2050 across 102 countries. Global trends were calculated using a locally weighted scatter-plot smoother (LOESS) curve, and the association between the rates and socioeconomic and geographical indicators was investigated. The study also projected future suicide mortality rates up to 2050 using the Bayesian age–period–cohort model. In addition, a decomposition analysis was performed to identify the variations in suicide deaths, specifically examining factors such as population growth, aging and epidemiological changes. Of the 102 countries included in the analysis of suicide mortality, 54 were high-income countries (HICs) and 48 were low- and middle-income countries (LMICs). The LOESS estimate of the global suicide mortality rate decreased from 10.33 (95% confidence interval, 9.67–10.99) deaths per 100,000 people in 1990 to 7.24 (6.58–7.90) deaths per 100,000 people in 2021. Notably, overall global suicide mortality rates were higher among males compared with females, with males showing a decline from 16.41 (15.23–17.58) in 1990 to 11.51 (10.33–12.68) in 2021, and females from 4.65 (4.41–4.89) in 1990 to 3.22 (2.98–3.46) in 2021. In addition, HICs also had higher suicide mortality rates, from 12.68 (11.96–13.40) in 1990 to 8.61 (7.89–9.33) in 2021, compared with LMICs, which showed 7.88 (6.93–8.84) in 1990 and 5.73 (4.77–6.69) in 2021. We also identified an association between the age-standardized suicide rates and several parameters, including the Human Development Index (β, 24.250; P = 0.001), Sociodemographic Index (β, 0.091; P < 0.001), reverse Gender Gap Index (β, −39.913; P = 0.002), Gender Inequality Index (β, 13.229; P = 0.016) and latitude (β, 23.732; P < 0.001). The future predicted number of global suicide deaths up to 2050 would slightly decrease from 8.60 (95% credible interval, 8.40–8.83) deaths in 2021 to 8.42 (6.60–10.61) in 2030, 7.39 (4.25–13.17) in 2040 and 6.49 (2.19–17.57) in 2050. Although population growth and aging had contributed to an increase in the number of deaths, the overall count in 2021 had decreased compared with 1990, primarily due to the decline in the age-standardized suicide mortality rates. A global trend for a decrease in suicide mortality rate was observed from 1990 to 2021. Reflecting the overall decline, future suicide deaths are forecasted to decrease up to 2050 at the global level, with certain groups and countries remaining more vulnerable to suicide deaths. Therefore, these findings suggest the nee","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"991-1001"},"PeriodicalIF":8.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123491","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":"Perceived life expectancy and life purpose mediate relation between discrimination and suicide attempts in LGBTQ+ youth","authors":"Steven Hobaica, Derrick D. Matthews, Jonah P. DeChants, Ronita Nath","doi":"10.1038/s44220-025-00483-7","DOIUrl":"10.1038/s44220-025-00483-7","url":null,"abstract":"Discrimination related to one’s sexual orientation or gender identity (SOGI) is associated with suicide risk in LGBTQ+ youth, and protective factors, such as greater perceived life expectancy and life purpose, are associated with reduced risk. However, no research has examined the relationship between SOGI-based discrimination, life purpose, and perceived life expectancy in LGBTQ+ youth, especially considering suicide risk. After implementing a conditional process modeling approach with LGBTQ+ youth (N = 28,524; cross-sectional), we found that life purpose and perceived life expectancy partially mediated the relationship between SOGI-based discrimination and attempting suicide in the past year. Perceived life expectancy also partially mediated the relationship between life purpose and attempting suicide, with lower life purpose being associated with lower perceived life expectancy. Recommendations for researchers, providers, policymakers and other LGBTQ+ facing adults are included that can inform policy and crisis intervention, as well as methods of improving the perceived life expectancy and life purpose of LGBTQ+ youth. In this study, Hobaica and colleagues investigate how perceived life expectancy and life purpose mediate the relationship between gender- and sexual orientation-based discrimination and suicide risk in a large US sample of LGBTQ+ youth.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1070-1077"},"PeriodicalIF":8.7,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123484","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":"Insulin resistance as an early marker in youth with mood disorders","authors":"Mirim Shin, Jacob J. Crouse, Meltem Weger, Sarah McKenna, Naomi R. Wray, Elizabeth M. Scott, Ian B. Hickie, Frédéric Gachon","doi":"10.1038/s44220-025-00472-w","DOIUrl":"10.1038/s44220-025-00472-w","url":null,"abstract":"Insulin resistance is emerging as an early metabolic risk marker in youth with mood disorders. In this Comment, we examine the interplay of insulin resistance, inflammation and circadian disruption that worsens both metabolic symptoms and mood symptoms, highlighting the potential for early integrated interventions.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"969-971"},"PeriodicalIF":8.7,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123486","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":"Dimensional approaches improve prediction of antidepressant outcomes via neuromodulation","authors":"","doi":"10.1038/s44220-025-00490-8","DOIUrl":"10.1038/s44220-025-00490-8","url":null,"abstract":"Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive treatment for depression. However, few studies have explored whether pretreatment functional neuroimaging can be used to predict rTMS-induced changes in depressive symptoms. Using machine learning, we identified that changes in a distinct symptom cluster of core mood and anhedonia, could be predicted more accurately than overall symptom severity.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"972-973"},"PeriodicalIF":8.7,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123487","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":"Reduced cerebello-thalamo-cortical functional connectivity during traumatic memory retrieval in PTSD","authors":"Breanne E. Kearney, Maria Densmore, Jean Théberge, Rakesh Jetly, Margaret C. McKinnon, Saurabh B. Shaw, Ruth A. Lanius","doi":"10.1038/s44220-025-00476-6","DOIUrl":"10.1038/s44220-025-00476-6","url":null,"abstract":"Traumatic memory retrieval is marked by vivid sensations, temporal fragmentation and a sense of reliving the past. Here we apply an unrestricted, whole-brain connectome approach to examine neutral and traumatic memory retrieval using functional magnetic resonance imaging in 90 individuals: those with post-traumatic stress disorder (PTSD, n = 46) and its dissociative subtype (PTSD + DS, n = 19) versus trauma-exposed controls (n = 25). Both PTSD and PTSD + DS exhibited hypoconnectivity in cerebrocerebellar and basal ganglia–cerebellar circuits alongside increased intracerebellar connectivity during traumatic memory retrieval only, reflecting a segregated cerebellar topology and a breakdown in long-range cortical connections. Brainstem–cerebellar hyperconnectivity was observed in PTSD + DS relative to controls during traumatic memory retrieval and in all participants with PTSD when directly comparing traumatic versus neutral memory retrieval. PTSD + DS exhibited additional hypoconnectivity between occipital regions and the thalamus and basal ganglia. These findings suggest a disruption to subcortical–cortical ‘vertical’ integration during traumatic memory retrieval, where cerebellar-based predictive processes may be markedly altered. This study uses whole-brain connectome analysis via functional MRI to investigate memory retrieval in individuals with post-traumatic stress disorder and its dissociative subtype, revealing distinct connectivity patterns and disruptions in subcortical–cortical integration during traumatic versus neutral memory processing.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1057-1069"},"PeriodicalIF":8.7,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123481","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":"Cognitive and global morphometry trajectories as predictors of persistent distressing psychotic-like experiences in youth","authors":"Nicole R. Karcher, Fanghong Dong, Sarah E. Paul, Emma C. Johnson, Can M. Kilciksiz, Hans Oh, Jason Schiffman, Arpana Agrawal, Ryan Bogdan, Joshua J. Jackson, Deanna M. Barch","doi":"10.1038/s44220-025-00481-9","DOIUrl":"10.1038/s44220-025-00481-9","url":null,"abstract":"Psychotic-like experiences (PLEs) may result from genetic and environmental risk factors that contribute to progressive declines in cognition and brain morphometry, which in turn exacerbate PLEs over time. Here we used three waves of unique longitudinal Adolescent Brain Cognitive Development Study data (ages 9–13 years) to test whether changes in cognition and global morphometry metrics attenuate associations between genetic and environmental risk with persistent distressing PLEs. Multigroup univariate latent growth models examined three waves of cognitive metrics and global morphometry separately for three PLEs groups: persistent distressing PLEs (n = 356), transient distressing PLEs (n = 408) and low-level PLEs (n = 7,901). Persistent distressing PLEs showed greater decreases (that is, more negative slopes) of cognition and morphometry metrics over time compared with those in low-level PLEs groups. Analyses also provided evidence for extant theories that worsening cognition and global morphometry metrics may partially account for associations between environmental risk with persistent distressing PLEs. Karcher et al. use data from the Adolescent Brain Cognitive Development Study to explore how changes in cognition and brain structure influence the relationship between risk factors and persistent distressing psychotic-like experiences in children aged 9–13 years.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1012-1019"},"PeriodicalIF":8.7,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145016825","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":"The overlapping genetic architecture of psychiatric disorders and cortical brain structure","authors":"Zhiqiang Sha, Varun Warrier, Richard A. I. Bethlehem, Laura M. Schultz, Alison Merikangas, Kevin Y. Sun, Ruben C. Gur, Raquel E. Gur, Russell T. Shinohara, Michael J. Gandal, Jakob Seidlitz, Laura Almasy, Ole A. Andreassen, Aaron F. Alexander-Bloch","doi":"10.1038/s44220-025-00475-7","DOIUrl":"10.1038/s44220-025-00475-7","url":null,"abstract":"Both psychiatric vulnerability and cortical structure are shaped by the cumulative effect of common genetic variants across the genome. However, the shared genetic underpinnings between psychiatric disorders and brain structural phenotypes, such as thickness and surface area of the cerebral cortex, remain elusive. Here we use pleiotropy-informed conjunctional false discovery rate analysis to investigate shared loci across genome-wide association scans of regional cortical thickness, surface area and eight psychiatric disorders in individuals of European ancestry. Aggregating regional measures, we identified 55 independent genetic loci shared between psychiatric disorders and surface area, as well as 29 independent genetic loci shared with cortical thickness. Risk alleles exhibited bidirectional effects on both cortical thickness and surface area, such that some risk alleles for each disorder were associated with increased regional brain size while other risk alleles were associated with decreased regional brain size. Due to bidirectional effects, in many cases we observed extensive pleiotropy between an imaging phenotype and a psychiatric disorder even in the absence of a significant genetic correlation between them. The impact of genetic risk for psychiatric disorders on regional brain structure did exhibit a consistent pattern across highly comorbid psychiatric disorders, with 80% of the independent genetic loci shared across multiple disorders displaying consistent directions of effect. Cortical patterning of genetic overlap revealed a hierarchical genetic architecture, with the association cortex and sensorimotor cortex representing two extremes of shared genetic influence on psychiatric disorders and brain structural variation. Integrating multiscale functional annotations and transcriptomic profiles, we observed that shared genetic loci were enriched in active genomic regions, converged on neurobiological and metabolic pathways and showed differential expression in postmortem brain tissue from individuals with psychiatric disorders. Cumulatively, these findings provide a significant advance in our understanding of the overlapping polygenic architecture between psychopathology and cortical brain structure. This study highlights sex differences in major depressive disorder using resting-state functional magnetic resonance imaging. Findings suggest hormonal fluctuations influence onset, emphasizing the need for larger investigations to identify sex-specific biomarkers and improve personalized treatment strategies.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1020-1036"},"PeriodicalIF":8.7,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123493","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":"Predicting dimensional antidepressant response to repetitive transcranial magnetic stimulation using pretreatment resting-state functional connectivity","authors":"Benjamin S. C. Wade, Tracy A. Barbour, Kristen K. Ellard, Joan A. Camprodon","doi":"10.1038/s44220-025-00469-5","DOIUrl":"10.1038/s44220-025-00469-5","url":null,"abstract":"Repetitive transcranial magnetic stimulation is an effective treatment for depression that modulates resting-state functional connectivity (RSFC) of depression-relevant neural circuits. So far, however, few studies have investigated whether individual treatment-related symptom changes are predictable from pretreatment RSFC. Here we use machine learning to predict dimensional changes in depressive symptoms using pretreatment RSFC. We hypothesized that changes in dimensional depressive symptoms would be predicted more accurately than scale total scores. Patients with depression (n = 26) underwent pretreatment RSFC magnetic resonance imaging. Depressive symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HDRS-17). Random forest regression models were trained to predict treatment-related symptom changes captured by the HDRS-17, HDRS-6 and three previously identified HDRS subscales: core mood and anhedonia (CMA), somatic disturbances and insomnia. Changes along the CMA, HDRS-17 and HDRS-6 were predicted significantly above chance, with 9%, 2% and 2% of out-of-sample outcome variance explained, respectively (all P values <0.001). CMA changes were predicted more accurately than the HDRS-17 (P < 0.05). Higher baseline global connectivity (GC) of default mode network subregions and the somatomotor network predicted poorer outcomes, while higher GC of the right dorsal attention frontoparietal control and visual networks predicted reduced CMA symptoms. HDRS-17 and HDRS-6 changes were predicted with similar GC patterns. These results suggest that RSFC spanning the default mode, somatomotor, dorsal attention, frontoparietal control and visual network subregions predict dimensional changes with significantly greater accuracy than syndromal changes after repetitive transcranial magnetic stimulation. These findings highlight the need to assess more granular clinical dimensions in therapeutic studies and echo earlier studies supporting that dimensional outcomes improve model accuracy. This study investigates the predictability of treatment-related symptom changes in depression using pretreatment resting-state functional connectivity. Machine learning models demonstrated significant accuracy in forecasting dimensional symptom changes, emphasizing the importance of assessing granular clinical dimensions for improved therapeutic outcomes.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"1046-1056"},"PeriodicalIF":8.7,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145123643","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}