Pub Date : 2025-12-22DOI: 10.1038/s44220-025-00553-w
Leah S. Richmond-Rakerd, Barry J. Milne, Renate M. Houts, Gabrielle Davie, Stephanie D’Souza, Sidra Goldman-Mellor, Lara Khalifeh, Avshalom Caspi, Terrie E. Moffitt, Fartein Ask Torvik
Mental health conditions are associated with an increased risk of chronic physical diseases, but their implications for other physical health outcomes, including injuries, are less established. In this prospective cohort study, we tested whether mental health conditions antedate unintentional as well as self-harm and assault injuries, using administrative data from Norway (N = 2,753,646) and New Zealand (N = 2,238,813). In Norway, after accounting for pre-existing injuries, individuals with a primary care encounter for a mental health condition had an elevated risk of subsequent primary care-recorded injury. In New Zealand, as expected, individuals with a mental health-related inpatient hospital admission had an elevated risk of subsequent inpatient hospital-recorded self-harm injury, as well as assault injury. However, they also had an elevated risk of unintentional injuries. Associations extended to injury insurance claims. Associations were evident across mental health conditions, sex, age and after accounting for indicators of socioeconomic status. Risk was particularly increased for brain and head injuries. Patients with mental health conditions are an important group for injury prevention. In this two-nation administrative register study (~5 million individuals), mental health conditions were linked to subsequent unintentional, self-harm and assault injuries. These results highlight the need for targeted injury prevention strategies.
{"title":"Mental health conditions are associated with increased risk of subsequent self-harm, assault and unintentional injuries in two nations","authors":"Leah S. Richmond-Rakerd, Barry J. Milne, Renate M. Houts, Gabrielle Davie, Stephanie D’Souza, Sidra Goldman-Mellor, Lara Khalifeh, Avshalom Caspi, Terrie E. Moffitt, Fartein Ask Torvik","doi":"10.1038/s44220-025-00553-w","DOIUrl":"10.1038/s44220-025-00553-w","url":null,"abstract":"Mental health conditions are associated with an increased risk of chronic physical diseases, but their implications for other physical health outcomes, including injuries, are less established. In this prospective cohort study, we tested whether mental health conditions antedate unintentional as well as self-harm and assault injuries, using administrative data from Norway (N = 2,753,646) and New Zealand (N = 2,238,813). In Norway, after accounting for pre-existing injuries, individuals with a primary care encounter for a mental health condition had an elevated risk of subsequent primary care-recorded injury. In New Zealand, as expected, individuals with a mental health-related inpatient hospital admission had an elevated risk of subsequent inpatient hospital-recorded self-harm injury, as well as assault injury. However, they also had an elevated risk of unintentional injuries. Associations extended to injury insurance claims. Associations were evident across mental health conditions, sex, age and after accounting for indicators of socioeconomic status. Risk was particularly increased for brain and head injuries. Patients with mental health conditions are an important group for injury prevention. In this two-nation administrative register study (~5 million individuals), mental health conditions were linked to subsequent unintentional, self-harm and assault injuries. These results highlight the need for targeted injury prevention strategies.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 1","pages":"102-111"},"PeriodicalIF":8.7,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00553-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145931248","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}
Pub Date : 2025-12-15DOI: 10.1038/s44220-025-00546-9
Yiran Li, Tian Xie, Lin Li, Jing Lin, Melissa Vos, Zheng Chang, Harold Snieder, Catharina A. Hartman
Autism has been associated with cardiometabolic conditions mainly in cross-sectional studies of children, but evidence in adults remains limited. Here we conducted the largest cohort study, using Dutch register data of 8,690,286 individuals aged 12–65 years. These individuals were followed up from 1 January 2014 to their first incidence of cardiometabolic conditions, emigration, death or 31 December 2020. Cox proportional hazards models indicated that autism was associated with higher risks of cardiometabolic conditions (hazard ratio (HR) 1.20, 95% confidence interval (CI) 1.18–1.23), specifically hypertension (HR 1.16, CI 1.14–1.19), dyslipidemia (HR 1.17, CI 1.12–1.23), diabetes (HR 1.22, CI 1.14–1.30), stroke (HR 1.23, CI 1.14–1.34) and heart failure (HR 1.28, CI 1.07–1.53). Sex-stratified findings were similar. Associations were observed in adolescent, young and middle-aged but not older individuals (41–65 years), indicating earlier onset in individuals with autism compared with those without. Our results underscore the need for monitoring and treatment of cardiometabolic conditions among individuals with autism. In this study analyzing data from 8,690,286 individuals in the Netherlands, autism significantly increased the risks for various cardiometabolic conditions. Cox proportional hazards models demonstrated heightened hazard ratios, emphasizing the importance of monitoring these health issues in people with autism.
自闭症主要在儿童的横断面研究中与心脏代谢状况有关,但在成人中的证据仍然有限。在这里,我们进行了最大的队列研究,使用荷兰登记的8,690,286名年龄在12-65岁之间的人的数据。从2014年1月1日起对这些人进行随访,直到他们首次出现心脏代谢疾病、移民、死亡或2020年12月31日。Cox比例风险模型显示,自闭症与心脏代谢疾病的高风险相关(风险比(HR) 1.20, 95%可信区间(CI) 1.18-1.23),特别是高血压(HR 1.16, CI 1.14-1.19)、血脂异常(HR 1.17, CI 1.12-1.23)、糖尿病(HR 1.22, CI 1.14-1.30)、中风(HR 1.23, CI 1.14-1.34)和心力衰竭(HR 1.28, CI 1.07-1.53)。性别分层的结果相似。在青少年、年轻人和中年人中观察到这种关联,但在老年人(41-65岁)中没有,这表明自闭症患者比非自闭症患者发病更早。我们的结果强调了监测和治疗自闭症患者心脏代谢状况的必要性。这项研究分析了荷兰8,690,286人的数据,自闭症显著增加了各种心脏代谢疾病的风险。Cox比例风险模型显示了更高的风险比,强调了在自闭症患者中监测这些健康问题的重要性。
{"title":"Cardiometabolic conditions in people with autism: a nationwide prospective cohort study from the Netherlands","authors":"Yiran Li, Tian Xie, Lin Li, Jing Lin, Melissa Vos, Zheng Chang, Harold Snieder, Catharina A. Hartman","doi":"10.1038/s44220-025-00546-9","DOIUrl":"10.1038/s44220-025-00546-9","url":null,"abstract":"Autism has been associated with cardiometabolic conditions mainly in cross-sectional studies of children, but evidence in adults remains limited. Here we conducted the largest cohort study, using Dutch register data of 8,690,286 individuals aged 12–65 years. These individuals were followed up from 1 January 2014 to their first incidence of cardiometabolic conditions, emigration, death or 31 December 2020. Cox proportional hazards models indicated that autism was associated with higher risks of cardiometabolic conditions (hazard ratio (HR) 1.20, 95% confidence interval (CI) 1.18–1.23), specifically hypertension (HR 1.16, CI 1.14–1.19), dyslipidemia (HR 1.17, CI 1.12–1.23), diabetes (HR 1.22, CI 1.14–1.30), stroke (HR 1.23, CI 1.14–1.34) and heart failure (HR 1.28, CI 1.07–1.53). Sex-stratified findings were similar. Associations were observed in adolescent, young and middle-aged but not older individuals (41–65 years), indicating earlier onset in individuals with autism compared with those without. Our results underscore the need for monitoring and treatment of cardiometabolic conditions among individuals with autism. In this study analyzing data from 8,690,286 individuals in the Netherlands, autism significantly increased the risks for various cardiometabolic conditions. Cox proportional hazards models demonstrated heightened hazard ratios, emphasizing the importance of monitoring these health issues in people with autism.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 1","pages":"157-164"},"PeriodicalIF":8.7,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145931244","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}
Pub Date : 2025-12-12DOI: 10.1038/s44220-025-00541-0
Xiaoyu Tong, Kanhao Zhao, Gregory A. Fonzo, Hua Xie, Nancy B. Carlisle, Corey J. Keller, Desmond J. Oathes, Yvette Sheline, Charles B. Nemeroff, Madhukar Trivedi, Amit Etkin, Yu Zhang
Major depressive disorder (MDD) is a prevalent condition that profoundly impairs quality of life across diverse populations. Despite widespread use, current antidepressant and psychotherapeutic treatments exhibit limited efficacy and unsatisfactory response rates. Progress in developing effective therapies is hampered by the insufficiently understood heterogeneity of MDD and its elusive underlying mechanisms. Here, to address these challenges, we develop a novel machine learning framework that identifies structure–function covariation through target-oriented fusion of structural and functional connectivity, which robustly predicts individual-level antidepressant response (sertraline, R2 = 0.31; placebo, R2 = 0.22). Validation in an independent escitalopram-medicated MDD cohort confirms the biomarker’s generalizability (P = 0.01) and suggests an overlap of psychopharmacological signatures across selective serotonin reuptake inhibitors. Our models highlight the right precuneus as a common key region for both sertraline and placebo responses, with the right middle frontal gyrus and left fusiform gyrus specific to sertraline and the left inferior and middle frontal gyri to placebo. We also find that structural connectivity is more predictive of sertraline response, while functional connectivity better predicts placebo response. The framework further decomposes the overall predictive patterns into three constitutive network constellations (default-mode regulatory, affective and sensory processing), which exhibit distinct generalizable structure–function covariation and treatment-specific association with personality traits and behavioral/cognitive profiles. These findings provide unique insights to the structure–function covariation in patients with MDD, its association to the heterogeneity in antidepressant response and the dissection of the intricate MDD neuropsychopharmacology, paving the way for precision medicine and development of more targeted antidepressant therapeutics. Clinicaltrials.gov registration: Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC), NCT01407094. Using a machine learning framework to predict antidepressant response in major depressive disorder by analyzing structural and functional connectivity, this study reveals distinct predictive patterns and highlights specific brain regions associated with treatment efficacy, advancing personalized therapeutic approaches.
{"title":"Generalizable structure–function covariation predictive of antidepressant response revealed by target-oriented multimodal fusion","authors":"Xiaoyu Tong, Kanhao Zhao, Gregory A. Fonzo, Hua Xie, Nancy B. Carlisle, Corey J. Keller, Desmond J. Oathes, Yvette Sheline, Charles B. Nemeroff, Madhukar Trivedi, Amit Etkin, Yu Zhang","doi":"10.1038/s44220-025-00541-0","DOIUrl":"10.1038/s44220-025-00541-0","url":null,"abstract":"Major depressive disorder (MDD) is a prevalent condition that profoundly impairs quality of life across diverse populations. Despite widespread use, current antidepressant and psychotherapeutic treatments exhibit limited efficacy and unsatisfactory response rates. Progress in developing effective therapies is hampered by the insufficiently understood heterogeneity of MDD and its elusive underlying mechanisms. Here, to address these challenges, we develop a novel machine learning framework that identifies structure–function covariation through target-oriented fusion of structural and functional connectivity, which robustly predicts individual-level antidepressant response (sertraline, R2 = 0.31; placebo, R2 = 0.22). Validation in an independent escitalopram-medicated MDD cohort confirms the biomarker’s generalizability (P = 0.01) and suggests an overlap of psychopharmacological signatures across selective serotonin reuptake inhibitors. Our models highlight the right precuneus as a common key region for both sertraline and placebo responses, with the right middle frontal gyrus and left fusiform gyrus specific to sertraline and the left inferior and middle frontal gyri to placebo. We also find that structural connectivity is more predictive of sertraline response, while functional connectivity better predicts placebo response. The framework further decomposes the overall predictive patterns into three constitutive network constellations (default-mode regulatory, affective and sensory processing), which exhibit distinct generalizable structure–function covariation and treatment-specific association with personality traits and behavioral/cognitive profiles. These findings provide unique insights to the structure–function covariation in patients with MDD, its association to the heterogeneity in antidepressant response and the dissection of the intricate MDD neuropsychopharmacology, paving the way for precision medicine and development of more targeted antidepressant therapeutics. Clinicaltrials.gov registration: Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC), NCT01407094. Using a machine learning framework to predict antidepressant response in major depressive disorder by analyzing structural and functional connectivity, this study reveals distinct predictive patterns and highlights specific brain regions associated with treatment efficacy, advancing personalized therapeutic approaches.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 1","pages":"85-101"},"PeriodicalIF":8.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145931255","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}
Pub Date : 2025-12-10DOI: 10.1038/s44220-025-00550-z
Claire L. Niedzwiedz, Shamal M. Kankawale, Srinivasa Vittal Katikireddi
Eco-anxiety refers to distress arising from climate and environmental changes, with children and young people particularly affected. Here we systematically reviewed social, political and geographic factors associated with eco-anxiety among children and young people. Database searches were conducted up to August 2024, and citations to January 2025. Quality was assessed using the Mixed Methods Appraisal Tool. Sixty-nine studies (42 quantitative, 16 qualitative, 11 mixed methods) were included in the narrative synthesis. Most studies used non-probability sampling, covering the Global North. Findings were grouped into 3 overarching categories and 13 sub-categories: social (age and developmental stage, gender, ethnicity, media, socioeconomic context, intergenerational relations, peer and cultural norms), political (distrust, government inaction, individual views and participation) and geographic (exposure to environmental hazards, cross-country differences, urban–rural residence). More consistent findings were found for age, developmental stage and gender, with young adults and particularly young women reporting higher levels of eco-anxiety. Media exposure and perceived government inaction were also consistent factors related to eco-anxiety. Further study is needed to understand how adaptive strategies can target specific factors to foster the positive benefits of eco-anxiety and prevent adverse effects on mental health. Children and young people are particularly vulnerable to eco-anxiety. Here the authors systematically review evidence linking social, political and geographic factors to eco-anxiety among children and young people and identify age, gender, media exposure and perceived government inaction among key contributors.
{"title":"A systematic review of social, political and geographic factors associated with eco-anxiety in children and young people","authors":"Claire L. Niedzwiedz, Shamal M. Kankawale, Srinivasa Vittal Katikireddi","doi":"10.1038/s44220-025-00550-z","DOIUrl":"10.1038/s44220-025-00550-z","url":null,"abstract":"Eco-anxiety refers to distress arising from climate and environmental changes, with children and young people particularly affected. Here we systematically reviewed social, political and geographic factors associated with eco-anxiety among children and young people. Database searches were conducted up to August 2024, and citations to January 2025. Quality was assessed using the Mixed Methods Appraisal Tool. Sixty-nine studies (42 quantitative, 16 qualitative, 11 mixed methods) were included in the narrative synthesis. Most studies used non-probability sampling, covering the Global North. Findings were grouped into 3 overarching categories and 13 sub-categories: social (age and developmental stage, gender, ethnicity, media, socioeconomic context, intergenerational relations, peer and cultural norms), political (distrust, government inaction, individual views and participation) and geographic (exposure to environmental hazards, cross-country differences, urban–rural residence). More consistent findings were found for age, developmental stage and gender, with young adults and particularly young women reporting higher levels of eco-anxiety. Media exposure and perceived government inaction were also consistent factors related to eco-anxiety. Further study is needed to understand how adaptive strategies can target specific factors to foster the positive benefits of eco-anxiety and prevent adverse effects on mental health. Children and young people are particularly vulnerable to eco-anxiety. Here the authors systematically review evidence linking social, political and geographic factors to eco-anxiety among children and young people and identify age, gender, media exposure and perceived government inaction among key contributors.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1579-1615"},"PeriodicalIF":8.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00550-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754658","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}
Pub Date : 2025-12-09DOI: 10.1038/s44220-025-00544-x
A large-scale global meta-analysis highlights the efficacy of creative arts-based interventions in reducing symptoms of post-traumatic stress disorder (PTSD) among children and adolescents, especially those from underrepresented, non-Western populations.
{"title":"Creative arts interventions reduce PTSD symptoms in children and adolescents worldwide","authors":"","doi":"10.1038/s44220-025-00544-x","DOIUrl":"10.1038/s44220-025-00544-x","url":null,"abstract":"A large-scale global meta-analysis highlights the efficacy of creative arts-based interventions in reducing symptoms of post-traumatic stress disorder (PTSD) among children and adolescents, especially those from underrepresented, non-Western populations.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1470-1471"},"PeriodicalIF":8.7,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00544-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754669","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}
Pub Date : 2025-12-05DOI: 10.1038/s44220-025-00570-9
With rising temperatures and widening inequities, researchers, clinicians and policymakers all must confront the consequences of climate change. From the mental health burden associated with humid heat and eco-anxiety to the need for climate-aware clinical training and digital mental health, this issue underscores both the urgency and complexity of adapting health systems to a warming world.
{"title":"Climate change and the most vulnerable populations","authors":"","doi":"10.1038/s44220-025-00570-9","DOIUrl":"10.1038/s44220-025-00570-9","url":null,"abstract":"With rising temperatures and widening inequities, researchers, clinicians and policymakers all must confront the consequences of climate change. From the mental health burden associated with humid heat and eco-anxiety to the need for climate-aware clinical training and digital mental health, this issue underscores both the urgency and complexity of adapting health systems to a warming world.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1453-1454"},"PeriodicalIF":8.7,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00570-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754660","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}
Pub Date : 2025-12-05DOI: 10.1038/s44220-025-00530-3
Rachel E. Williamson, Josef I. Ruzek, Jiaqing O, Britt Wray, Debra L. Safer, Janne L. Punski-Hoogervorst, Jennifer S. Robohm, Jinhee Hyun
The ongoing climate crisis contributes to a cascade of social stressors, physical threats and widespread mental health impacts. Mental health professionals across the globe are reporting an increasing prevalence of climate-change-related concerns from their patients, while simultaneously reporting uncertainty about how best to address these concerns. Given the escalating nature of climate change and, by extension, climate-related mental health challenges, the mental healthcare profession must adapt. We argue that an important first step is for mental health training programs to incorporate climate-aware competencies aimed at preparing trainees to work within the context of the climate crisis. We propose three specific competencies: (1) adapt and develop assessment and intervention strategies to be ‘climate-aware’; (2) include community adaptation and resilience as therapeutic goals with individuals, groups and organizations; and (3) engage in an expanded scope of professional responsibilities. Additionally, we provide preliminary suggestions for defining and incorporating these competencies. In this Perspective, Williamson et al. argue for the integration of climate-aware competencies into mental health training to better prepare professionals for the challenges posed by the climate crisis.
{"title":"Training clinicians for climate-informed mental healthcare","authors":"Rachel E. Williamson, Josef I. Ruzek, Jiaqing O, Britt Wray, Debra L. Safer, Janne L. Punski-Hoogervorst, Jennifer S. Robohm, Jinhee Hyun","doi":"10.1038/s44220-025-00530-3","DOIUrl":"10.1038/s44220-025-00530-3","url":null,"abstract":"The ongoing climate crisis contributes to a cascade of social stressors, physical threats and widespread mental health impacts. Mental health professionals across the globe are reporting an increasing prevalence of climate-change-related concerns from their patients, while simultaneously reporting uncertainty about how best to address these concerns. Given the escalating nature of climate change and, by extension, climate-related mental health challenges, the mental healthcare profession must adapt. We argue that an important first step is for mental health training programs to incorporate climate-aware competencies aimed at preparing trainees to work within the context of the climate crisis. We propose three specific competencies: (1) adapt and develop assessment and intervention strategies to be ‘climate-aware’; (2) include community adaptation and resilience as therapeutic goals with individuals, groups and organizations; and (3) engage in an expanded scope of professional responsibilities. Additionally, we provide preliminary suggestions for defining and incorporating these competencies. In this Perspective, Williamson et al. argue for the integration of climate-aware competencies into mental health training to better prepare professionals for the challenges posed by the climate crisis.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1472-1481"},"PeriodicalIF":8.7,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754664","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}
Residents of low-latitude megacities face growing vulnerability to humid-heat stress under urbanization and global warming, yet limited research has assessed the morbidity burden of mental and behavioral disorders (MBDs) linked to humid-heat exposures in these cities. Here we quantify the hospital admissions of MBDs in Shanghai, a megacity of over 25 million inhabitants, attributable to humid heat, and project future burdens under various greenhouse gas (GHG)-emission and population scenarios. Humid heat drives a higher morbidity burden than high temperature alone, especially in humid-heat nights. Without population change, the humid-heat-related morbidity burden of MBDs would increase by 68.2% (95% empirical confidence interval 56.7%–81.6%) under the highest-GHG-emission scenario by the 2090s, while 8,465 (95% empirical confidence interval 6,928–10,053) cases would be avoided by reducing emissions to the lowest pathway. With projected population decline, the attributable hospital admissions will decrease toward century’s end. These findings highlight the benefit of GHG mitigation in reducing the growing MBD risks posed by extreme humid heat. This research quantifies hospital admissions in Shanghai for mental and behavioral disorders linked to humid heat, projecting a 68.2% increase by the 2090s under high greenhouse gas emissions and emphasizing the importance of mitigation strategies to reduce future morbidity burdens.
{"title":"Projecting the morbidity burden of mental and behavioral disorders associated with increasing humid heat in Shanghai","authors":"Chen Liang, Jiacan Yuan, Renhe Zhang, Xu Tang, Gunter Schumann, the environMENTAL Consortium","doi":"10.1038/s44220-025-00519-y","DOIUrl":"10.1038/s44220-025-00519-y","url":null,"abstract":"Residents of low-latitude megacities face growing vulnerability to humid-heat stress under urbanization and global warming, yet limited research has assessed the morbidity burden of mental and behavioral disorders (MBDs) linked to humid-heat exposures in these cities. Here we quantify the hospital admissions of MBDs in Shanghai, a megacity of over 25 million inhabitants, attributable to humid heat, and project future burdens under various greenhouse gas (GHG)-emission and population scenarios. Humid heat drives a higher morbidity burden than high temperature alone, especially in humid-heat nights. Without population change, the humid-heat-related morbidity burden of MBDs would increase by 68.2% (95% empirical confidence interval 56.7%–81.6%) under the highest-GHG-emission scenario by the 2090s, while 8,465 (95% empirical confidence interval 6,928–10,053) cases would be avoided by reducing emissions to the lowest pathway. With projected population decline, the attributable hospital admissions will decrease toward century’s end. These findings highlight the benefit of GHG mitigation in reducing the growing MBD risks posed by extreme humid heat. This research quantifies hospital admissions in Shanghai for mental and behavioral disorders linked to humid heat, projecting a 68.2% increase by the 2090s under high greenhouse gas emissions and emphasizing the importance of mitigation strategies to reduce future morbidity burdens.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1532-1544"},"PeriodicalIF":8.7,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754666","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}
Pub Date : 2025-12-02DOI: 10.1038/s44220-025-00548-7
Residents of low-latitude megacities face rising humid-heat vulnerability as climate warms. We reveal that humid heat — especially at night — worsens the current morbidity burden of mental and behavioral disorders (MBDs) in Shanghai more than high temperatures alone. We project that high greenhouse gas emissions will sharply increase the morbidity burden of MBDs by the 2090s, stressing the need for mitigation.
{"title":"Humid heat increases mental health risks in a warming world","authors":"","doi":"10.1038/s44220-025-00548-7","DOIUrl":"10.1038/s44220-025-00548-7","url":null,"abstract":"Residents of low-latitude megacities face rising humid-heat vulnerability as climate warms. We reveal that humid heat — especially at night — worsens the current morbidity burden of mental and behavioral disorders (MBDs) in Shanghai more than high temperatures alone. We project that high greenhouse gas emissions will sharply increase the morbidity burden of MBDs by the 2090s, stressing the need for mitigation.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1468-1469"},"PeriodicalIF":8.7,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754659","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}
Pub Date : 2025-12-01DOI: 10.1038/s44220-025-00545-w
Julian De Freitas
Dementia affects more than 55 million people worldwide, and AI companions powered by large language models are emerging as a scalable option for prevention and care. This Comment considers the unique promise, concerns, and regulations surrounding AI companions for dementia.
{"title":"AI companions for dementia","authors":"Julian De Freitas","doi":"10.1038/s44220-025-00545-w","DOIUrl":"10.1038/s44220-025-00545-w","url":null,"abstract":"Dementia affects more than 55 million people worldwide, and AI companions powered by large language models are emerging as a scalable option for prevention and care. This Comment considers the unique promise, concerns, and regulations surrounding AI companions for dementia.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 12","pages":"1462-1464"},"PeriodicalIF":8.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754600","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}