Npj mental health research最新文献

Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines. 将语言模型应用于自杀预防：评估新闻文章对世卫组织报告准则的遵守情况。

Npj mental health research Pub Date : 2025-06-20 DOI: 10.1038/s44184-025-00139-5

Zohar Elyoseph, Inbar Levkovich, Eyal Rabin, Gal Shemo, Tal Szpiler, Dorit Hadar Shoval, Yossi Levi Belz

{"title":"Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.","authors":"Zohar Elyoseph, Inbar Levkovich, Eyal Rabin, Gal Shemo, Tal Szpiler, Dorit Hadar Shoval, Yossi Levi Belz","doi":"10.1038/s44184-025-00139-5","DOIUrl":"10.1038/s44184-025-00139-5","url":null,"abstract":"The responsible reporting of suicide in media is crucial for public health, as irresponsible coverage can potentially promote suicidal behaviors. This study examined the capability of generative artificial intelligence, specifically large language models, to evaluate news articles on suicide according to World Health Organization (WHO) guidelines, potentially offering a scalable solution to this critical issue. The research compared assessments of 40 suicide-related articles by two human reviewers and two large language models (ChatGPT-4 and Claude Opus). Results showed strong agreement between ChatGPT-4 and human reviewers (ICC = 0.81-0.87), with no significant differences in overall evaluations. Claude Opus demonstrated good agreement with human reviewers (ICC = 0.73-0.78) but tended to estimate lower compliance. These findings suggest large language models' potential in promoting responsible suicide reporting, with significant implications for public health. The technology could provide immediate feedback to journalists, encouraging adherence to best practices and potentially transforming public narratives around suicide.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"25"},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181428/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337308","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}

引用次数: 0

Assessing the mental health impact of China's housing boom through national and city-level data analysis. 通过国家和城市层面的数据分析评估中国房地产繁荣对心理健康的影响。

Npj mental health research Pub Date : 2025-06-03 DOI: 10.1038/s44184-025-00135-9

Yige Xiao, Xin Liu, Lijie Ren, Shufang Lai

引用次数: 0

Exploring the link between adverse childhood experiences and cancer development - insights and intervention recommendations from a scoping review. 探索不良童年经历与癌症发展之间的联系-来自范围审查的见解和干预建议。

Npj mental health research Pub Date : 2025-06-02 DOI: 10.1038/s44184-025-00138-6

Bethany Karnes, Alise Hanissian, Brianna M White, Jason A Yaun, Arash Shaban-Nejad, David L Schwartz

引用次数: 0

Transition and dynamic reconfiguration in late-life depression based on hidden Markov model. 基于隐马尔可夫模型的老年抑郁症的转变与动态重构。

Npj mental health research Pub Date : 2025-05-27 DOI: 10.1038/s44184-025-00137-7

Hairong Xiao, Caili Kang, Wei Zhao, Shuixia Guo

{"title":"Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.","authors":"Hairong Xiao, Caili Kang, Wei Zhao, Shuixia Guo","doi":"10.1038/s44184-025-00137-7","DOIUrl":"10.1038/s44184-025-00137-7","url":null,"abstract":"Late-life depression is characterized by persistent emotional distress and cognitive dysfunction, yet understanding the specific brain dynamics and molecular mechanisms involved remains limited. Here, we employed a hidden Markov model to analyze resting-state functional magnetic resonance imaging data from 154 patients with late-life depression and 147 healthy controls. This analysis revealed 12 recurring brain states with distinct spatiotemporal patterns and identified atypical dynamic features across several networks. Notably, patients exhibited significantly higher transition probabilities for entering, exiting, and maintaining in the positive activation state of the default mode network, with genes linked to this state mainly enriched in regulation of neuronal synaptic plasticity and cognitive processes. Hierarchical clustering further found a critical entry and exit point between two high-level meta-states with opposing activation patterns, highlighting large-scale network dysfunction and potential molecular mechanisms associated with late-life depression through the decoding of brain states.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12106808/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152949","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}

引用次数: 0

Mental health impacts of particulate matter exposure and non-optimal temperature among rural and urban children in eastern China. 中国东部城乡儿童颗粒物暴露和非最适温度对心理健康的影响

Npj mental health research Pub Date : 2025-05-19 DOI: 10.1038/s44184-025-00132-y

Yangyang Wu, Jing Wei, Biran Cheng, Hong Sun, Yidong Zhou, Chen Li, Peng Wang, Hao Zhang, Yiyi Wang, Lei Huang, Kai Chen

{"title":"Mental health impacts of particulate matter exposure and non-optimal temperature among rural and urban children in eastern China.","authors":"Yangyang Wu, Jing Wei, Biran Cheng, Hong Sun, Yidong Zhou, Chen Li, Peng Wang, Hao Zhang, Yiyi Wang, Lei Huang, Kai Chen","doi":"10.1038/s44184-025-00132-y","DOIUrl":"10.1038/s44184-025-00132-y","url":null,"abstract":"Over 100 million children worldwide suffer from mental distress, with incidence rates steadily increasing. However, the combined impacts of air pollution and non-optimal temperature on schoolchildren's mental health, as well as the disparities across urban and rural schools and between genders, remain insufficiently explored. Utilizing 95,658 mental distress records from school children in eastern China, we developed nine composite exposure scenarios to evaluate the mental health impacts of short-term (0-14 days) exposure to particulate matter (PM) air pollution (i.e., PM1, PM2.5, PM10), average temperature, and temperature variability (including both intra-day and inter-day temperature fluctuations). We found that children's mental distress was significantly associated with PM pollution, particularly in urban schools, with rising risk trends and intensified hazards for finer particles (PM10 < PM2.5 < PM1). For each 10 μg/m³ increase, the relative risks of mental distress absenteeism for PM1, PM2.5, and PM10 were 1.017, 1.011, and 1.008, respectively. Polluted days coupled with warming temperature >10 °C and large intra-day (>10 °C) and inter-day fluctuations (<-2.5 or >0 °C) consistently exhibited higher and increasing risks, with relative risks ranging from 1.031 to 1.534 (p < 0.05). Girls, constituting 61.4% of the cases examined, exhibited greater vulnerability than boys, with higher threats and rising trends across all scenarios. Among the affected children, 77.9% didn't receive medical assistance. Given the global warming trend, it's crucial to address the combined impacts of extreme weather and PM pollution on schoolchildren's mental health, particularly for girls and in rapidly urbanizing areas.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089432/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103304","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}

引用次数: 0

Randomized trial testing a self-guided digital mental health intervention teaching calming skills for Ukrainian children. 随机试验测试一种自我引导的数字心理健康干预，为乌克兰儿童教授镇静技巧。

Npj mental health research Pub Date : 2025-05-16 DOI: 10.1038/s44184-025-00134-w

Joshua S Steinberg, Jingxuan Sun, Katherine E Venturo-Conerly, Gauri Sood, Patrick Mair, Oksana Davydenko, Robert Porzak, Dennis Ougrin, John R Weisz

{"title":"Randomized trial testing a self-guided digital mental health intervention teaching calming skills for Ukrainian children.","authors":"Joshua S Steinberg, Jingxuan Sun, Katherine E Venturo-Conerly, Gauri Sood, Patrick Mair, Oksana Davydenko, Robert Porzak, Dennis Ougrin, John R Weisz","doi":"10.1038/s44184-025-00134-w","DOIUrl":"10.1038/s44184-025-00134-w","url":null,"abstract":"Ukraine's war-exposed youth face a myriad of barriers to receiving mental health services, perhaps most notably a dearth of mental health professionals. Experts recommend evaluating digital mental health interventions (DMHIs), which require minimal clinician support. Based on the content of empirically supported treatments for war-exposed youth (e.g., Teaching Recovery Techniques), one strategy that might be useful is self-calming (e.g., paced breathing, progressive muscle relaxation). In this pre-registered randomized controlled trial (ClinicalTrials.gov Record: NCT06217705 ; first submitted January 12, 2024), we assessed the acceptability, utility, and clinical efficacy of one such DMHI (Project Calm) relative to a usual schoolwork control among a sample of Ukrainian students in grades 4-11. We analyzed outcomes for the full sample and subsamples with elevated symptoms at baseline. Although Calm was perceived favorably, there were no significant between-group differences in the full sample (N = 626); differences in subsample analyses demonstrated that while internalizing, externalizing, and trauma symptoms held steady for the Calm group, control participants' symptoms reduced. We generated potential explanations for these results (e.g., interference with youths' natural coping skills or fear extinction) through a focus group with school staff. Given that we found no evidence that calming skills taught via DMHI are effective for Ukrainian youth, we suggest that researchers test other strategies delivered by DMHI and that calming skills continue to be taught in provider-guided formats.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084600/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087085","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}

引用次数: 0

Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning. 基于使用机器学习的纵向症状轨迹对首发精神病进行分型。

Npj mental health research Pub Date : 2025-05-15 DOI: 10.1038/s44184-025-00129-7

Yanan Liu, Sara Jalali, Ridha Joober, Martin Lepage, Srividya Iyer, Jai Shah, David Benrimoh

{"title":"Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning.","authors":"Yanan Liu, Sara Jalali, Ridha Joober, Martin Lepage, Srividya Iyer, Jai Shah, David Benrimoh","doi":"10.1038/s44184-025-00129-7","DOIUrl":"10.1038/s44184-025-00129-7","url":null,"abstract":"Clinical course after first episode psychosis (FEP) is heterogeneous. Subgrouping and predicting longitudinal symptom trajectories after FEP may help develop personalized treatment approaches. We utilized k-means clustering to identify clusters of 411 FEP patients based on longitudinal positive and negative symptoms. Three clusters were identified. Cluster 1 exhibits lower positive and negative symptoms (LS), lower antipsychotic dose, and relatively higher affective psychosis; Cluster 2 shows lower positive symptoms, persistent negative symptoms (LPPN), and intermediate antipsychotic doses; Cluster 3 presents persistently high levels of both positive and negative symptoms (PPNS), and higher antipsychotic doses. We predicted cluster membership (AUC of 0.74) using ridge logistic regression on baseline data. Key predictors included lower levels of apathy, affective flattening, and anhedonia/asociality in the LS cluster, compared to the LPPN cluster. Hallucination severity, positive thought disorder and manic hostility predicted PPNS. These results help parse the FEP trajectory heterogeneity and may facilitate the development of personalized treatments.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12081720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082361","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}

引用次数: 0

Canonical and non-canonical roles of oligodendrocyte precursor cells in mental disorders. 少突胶质前体细胞在精神障碍中的典型和非典型作用。

Npj mental health research Pub Date : 2025-05-15 DOI: 10.1038/s44184-025-00133-x

Giulia Poggi, Giulia Treccani, Martina von der Bey, Arnaud Tanti, Michael J Schmeisser, Marianne Müller

引用次数: 0

Electrocardiography-derived autonomic profiles in depression and suicide risk with insights from the UK Biobank. 来自英国生物银行的见解在抑郁症和自杀风险中的心电图衍生的自主神经谱。

Npj mental health research Pub Date : 2025-05-14 DOI: 10.1038/s44184-025-00130-0

Samantha Weber, Mario Müller, Golo Kronenberg, Erich Seifritz, Vladeta Ajdacic-Gross, Sebastian Olbrich

{"title":"Electrocardiography-derived autonomic profiles in depression and suicide risk with insights from the UK Biobank.","authors":"Samantha Weber, Mario Müller, Golo Kronenberg, Erich Seifritz, Vladeta Ajdacic-Gross, Sebastian Olbrich","doi":"10.1038/s44184-025-00130-0","DOIUrl":"https://doi.org/10.1038/s44184-025-00130-0","url":null,"abstract":"The role of the autonomic nervous system (ANS) in depression and suicidality is multifaceted. This study examined whether distinct electrocardiography based ANS profiles exist, associated with a lifetime/recent at-risk cohort or a resilient group. Using data from 15,768 participants from the UK Biobank, four unique ANS activity patterns related to heart rate variability (HRV) measures were identified. Two specific clusters, both with low HRV, showed different risks: one characterized by high relative sympathetic tonus and lower breathing rate, indicated higher resilience with less likely depressive symptoms and suicidal thoughts whereas another cluster with dominant relative parasympathetic activity and high breathing rate, aligned with greater depression and suicide attempt prevalence, potentially representing a high-risk cluster. Resilience to depression might be defined by different psychophysiological entities and coping strategies, where the resilient cluster might be characterized by cognitive coping strategies, and increased susceptibility might be linked to more rigid maladaptive coping strategies.","PeriodicalId":74321,"journal":{"name":"Npj mental health research","volume":"4 1","pages":"17"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12078707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082298","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}

引用次数: 0

Assessing the impact of AI on physician decision-making for mental health treatment in primary care. 评估人工智能对初级保健中心理健康治疗医生决策的影响。

Npj mental health research Pub Date : 2025-05-10 DOI: 10.1038/s44184-025-00124-y

Katie Ryan, Hyun-Joon Yang, Bohye Kim, Jane Paik Kim

引用次数: 0