BMC Psychiatry最新文献

{"title":"Correction: Reasons for disengagement in first-episode psychosis- perspectives from service users and their caregivers.","authors":"Yi Chian Chua, Kumarasan Roystonn, K Pushpa, Swapna Verma, Charmaine Tang","doi":"10.1186/s12888-025-07028-3","DOIUrl":"https://doi.org/10.1186/s12888-025-07028-3","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"747"},"PeriodicalIF":3.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144759098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"\"All I want is the best for my brother\": interest in a Community Reinforcement and Family Training (CRAFT)-based group intervention among concerned significant others of individuals on office-based medications for opioid use disorder.","authors":"Mandy D Owens, Addy Adwell, Samyukta Singh, Karen Osilla, Megan Tweedy, Judith Tsui","doi":"10.1186/s12888-025-07132-4","DOIUrl":"https://doi.org/10.1186/s12888-025-07132-4","url":null,"abstract":"<p><strong>Background: </strong>Medications for opioid use disorder (MOUD) are frontline treatments for opioid use disorder, but retention is low. Community Reinforcement and Family Training (CRAFT) is an evidence-based intervention with concerned significant others (CSOs; family, friends) that improves treatment engagement among people with substance use disorder, but is rarely available. This study aimed to assess the interest in and preferences for a CRAFT-based intervention among CSOs of patients receiving MOUD.</p><p><strong>Methods: </strong>Patients receiving MOUD were recruited from outpatient clinics to complete a brief survey to identify CSOs who might be willing to give feedback on a CRAFT-based group. CSOs who agreed to participate were interviewed virtually using a semi-structured guide assessing preferences for a group intervention.</p><p><strong>Results: </strong>Over half of patient participants (n = 28/48; 58%) listed a CSO. Of n = 36 CSOs contacted, fourteen (39%) completed interviews. Interviews were transcribed and coded using thematic analysis on reasons for participating and preferences for the group. All interviewed CSOs were interested in doing the group, with the most common reasons being to learn skills, get evidence-based education, and interact with others in similar situations. Most CSOs preferred doing a virtual group in the evenings or on weekends.</p><p><strong>Conclusions: </strong>Among patients receiving MOUD, a third had a CSO willing to engage in a group intervention for their family/friend. Findings will inform a pilot study of a CRAFT-based group intervention delivered by an MOUD nurse care manager. The current and future studies add to ongoing efforts to involve CSOs and to improve outcomes among individuals on MOUD.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"748"},"PeriodicalIF":3.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144759096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Psychiatrist-led hepatitis C (HCV) treatment at an opioid agonist treatment clinic in Stockholm- a model to enhance the HCV continuum of care.","authors":"Per-Erik Klasa, Mikael Sandell, Soo Aleman, Martin Kåberg","doi":"10.1186/s12888-025-07203-6","DOIUrl":"https://doi.org/10.1186/s12888-025-07203-6","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"746"},"PeriodicalIF":3.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144759097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overweight and POMC methylation: epigenetic associations with adolescent depression.","authors":"Ye Ye, Jia-Hui Hu, Xing-Yu Xiao, Ting Ji, Fei Wang, Fu-Jun Jia, Cai-Lan Hou","doi":"10.1186/s12888-025-07162-y","DOIUrl":"https://doi.org/10.1186/s12888-025-07162-y","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"749"},"PeriodicalIF":3.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144759099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum folate and homocysteine as biomarkers for suicide risk in major depressive disorder: insights in males and younger patients.","authors":"Anqi Zhang, Yuncong Qin, Han Wang, Nan Lyu, Qian Zhao, Ling Zhang, Juan Huang","doi":"10.1186/s12888-025-07183-7","DOIUrl":"https://doi.org/10.1186/s12888-025-07183-7","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"745"},"PeriodicalIF":3.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144759100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial.","authors":"Julia R Pozuelo, Anuja Lahiri, Rahul S P Singh, Arvind Kushwah, Mimansa Khanduri, Akanksha Shukla, Azaz Khan, Sruthi G, Varun Shende, Yashika Parashar, Yashwant K Mehra, Anant Bhan, Ronald C Kessler, Daisy R Singla, John A Naslund, Karmel W Choi, Pim Cuijpers, Robert DeRubeis, Mohammad M Herzallah, Chunling Lu, Jordan W Smoller, Tyler J VanderWeele, Abhijit R Rozatkar, Tamonud Modak, Michelle Melwyn Joel, Debasis Biswas, Shubham Atal, Umay Kulsum, Steven D Hollon, Vikram Patel","doi":"10.1186/s12888-025-07030-9","DOIUrl":"https://doi.org/10.1186/s12888-025-07030-9","url":null,"abstract":"<p><strong>Background: </strong>Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. However, treatment response varies widely across patients, and neither approach is universally effective. Identifying the most effective treatment for each patient is critical everywhere, but particularly in low-resource settings where access to mental health care is limited. The Optimizing Depression (OptimizeD) trial aims to explore whether different patients respond differently to behavioral activation therapy versus antidepressant medication and if providing each patient with their optimal treatment improves outcomes in primary care.</p><p><strong>Methods: </strong>We plan to randomize 1,500 patients with moderate to severe depression (defined as a Patient Health Questionnaire [PHQ-9] score ≥ 10) from primary healthcare settings in Bhopal, India, with equal allocation either to a culturally adapted behavioral activation therapy delivered by trained counselors (Healthy Activity Program) or to antidepressant medication (fluoxetine). Treatment will last 3 months, with remission (defined as PHQ-9 score < 5) at 3 months as the primary endpoint. Using machine learning, we will attempt to develop a precision treatment rule that leverages baseline clinical, psychological, cognitive, socioeconomic, and biological data to predict which treatment is most likely to achieve remission for each patient. Cost-effectiveness analysis will then assess whether the added costs of optimizing treatment are justified by improvements in remission, recovery, and cost savings at the health system and societal levels. Secondary and exploratory objectives include assessing the effectiveness of optimization in a range of secondary outcomes, evaluating treatment mechanisms, and exploring whether incorporating genetic and biological markers as predictors improves treatment optimization.</p><p><strong>Discussion: </strong>The OptimizeD trial will evaluate whether baseline information collected in routine care can inform optimal depression treatment selection and identify predictors of nonresponse to facilitate timely specialist referrals. Findings have the potential to enhance personalized depression care in primary health systems, particularly in low-resource settings, with broader implications for global public health.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov (NCT05944926; registered July 2, 2023) and Clinical Trials Registry India (CTRI/2024/01/061932; registered January 29, 2024).</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"744"},"PeriodicalIF":3.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative multi-omics data from early development to identify the genes and cell types underlying attention-deficit/hyperactivity disorder.","authors":"Shufen Jiao, Li Bao, Xiaowen Lu, Yong Wu, Yichen Li","doi":"10.1186/s12888-025-07209-0","DOIUrl":"https://doi.org/10.1186/s12888-025-07209-0","url":null,"abstract":"<p><strong>Background: </strong>Genome-wide association studies (GWASs) have identified numerous loci significantly associated with attention-deficit/hyperactivity disorder (ADHD); however, the majority of these loci are located in non-coding regions, limiting our understanding of the disorder's underlying pathogenesis.</p><p><strong>Methods: </strong>We applied the summary data-based Mendelian randomization (SMR) approach to integrate expression quantitative trait loci (eQTL) data derived from bulk post-mortem tissues, fetal brain tissues, and single-cell types from induced pluripotent stem cell (iPSC)-derived neurons and post-mortem brain samples with ADHD GWAS data. Additionally, we performed cell-type enrichment analysis to identify specific cell types implicated in ADHD.</p><p><strong>Results: </strong>Our integrative analysis identified LSM6 and RPS26 as significantly associated with ADHD, based on eQTL data from fetal brain and iPSC-derived neurons. Genes highlighted in fetal brain and iPSC-derived neurons showed high expression levels during early development, whereas genes identified from post-mortem brain samples tended to be expressed at low levels before the peak onset period of ADHD. Furthermore, cell-type enrichment analysis revealed that SNP-based heritability for ADHD was predominantly enriched in excitatory glutamatergic neurons, with relatively lower enrichment observed in glial cells.</p><p><strong>Conclusions: </strong>The findings highlight the importance of considering developmental gene expression dynamics in integrative analyses. Genetic variants may contribute to ADHD pathogenesis by modulating gene expression in the fetal brain, thereby impacting early neurodevelopmental processes.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"741"},"PeriodicalIF":3.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The prevalence and clinical correlates of severe anxiety symptoms in first-episode drug-naïve schizophrenia: a Chinese population study.","authors":"Ping Xu, Shanshan Wu, Jie Zhao, Junjun Liu, Xiangyang Zhang","doi":"10.1186/s12888-025-07197-1","DOIUrl":"10.1186/s12888-025-07197-1","url":null,"abstract":"<p><strong>Objective: </strong>Although anxiety symptoms frequently co-occur with schizophrenia and may substantially influence disease progression and treatment outcomes, systematic investigations of this comorbidity remain limited. This study aimed to investigate the prevalence and clinical correlations of severe anxiety symptoms among Chinese patients with first-episode drug-naive (FEDN) schizophrenia.</p><p><strong>Methods: </strong>This cross-sectional study enrolled 255 FEDN schizophrenia patients. Comprehensive clinical and demographic data were collected from all participants. Psychiatric symptoms were assessed using PANSS, while anxiety and depression symptoms were evaluated using the 14-item Hamilton Anxiety Rating Scale (HAMA-14) and the 24-item Hamilton Depression Rating Scale (HAMD-24), respectively. Participants were stratified into two groups based on the presence or absence of severe anxiety symptoms, defined by a HAMA score ≥ 29. Multivariate logistic regression analysis was employed to identify potential correlates associated with severe anxiety symptoms in FEDN schizophrenia patients.</p><p><strong>Results: </strong>The prevalence of severe anxiety symptoms among patients with FEDN schizophrenia was 51.8% (132/255). Multivariable logistic regression analysis revealed that both elevated HAMD-24 scores (OR = 1.17, 95% CI: 1.11-1.22, p < 0.001) and higher high-density lipoprotein cholesterol (HDL-c) levels (OR = 4.70, 95% CI: 1.53-14.4, p = 0.007) were independently associated with increased risk of severe anxiety symptoms. The area under the curve (AUC) analysis revealed distinct predictive capabilities: HAMD-24 demonstrated strong standalone predictive ability (AUC = 0.868), while HDL-c showed limited discriminative capacity (AUC = 0.592) despite statistical significance in multivariable regression.</p><p><strong>Conclusion: </strong>This study highlights the substantial prevalence of severe anxiety symptoms among patients with FEDN schizophrenia. Our multivariable analysis identified HAMD-24 scores and HDL-c levels as significant factors associated with severe anxiety symptoms in this population. These findings enhance our understanding of anxiety mechanisms in FEDN schizophrenia, potentially informing future treatment strategies.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"743"},"PeriodicalIF":3.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MentalAId: an improved DenseNet model to assist scalable psychosis assessment.","authors":"Muxi Li, Farong Liu, Fei Du, Guolin Hong, Qing Hu, Zhi-Liang Ji, Pan You","doi":"10.1186/s12888-025-07194-4","DOIUrl":"10.1186/s12888-025-07194-4","url":null,"abstract":"<p><strong>Background: </strong>The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessment face inherent limitations in large-scale and longitudinal screening, likely delaying early intervention.</p><p><strong>Methods: </strong>We developed MentalAId, an improved densely connected convolutional network (DenseNet) model, to assist automated psychosis recognition, leveraging accessible routine laboratory data without requiring additional specialized tests. MentalAId learned subtle variations in 49 routine clinical hematological tests and two demographic variables (sex and age) across 28,746 individuals spanning four distinct cohorts: psychotic inpatients (n = 9,271), non-psychotic inpatients with various diseases (n = 14,508), healthy controls (n = 1,826), and drug-naïve first-episode psychosis (FEP) patients (n = 3,141).</p><p><strong>Results: </strong>The MentalAId model achieved high accuracy in generally discriminating psychoses from both healthy individuals and patients with other physical diseases, achieving 93.3% accuracy and AUC of 0.983. Further validating its robustness, MentalAId demonstrated high performance under real-world clinical conditions, accurately handling extreme values and missing values, with accuracies of 92.4% and 92.0%, respectively. Even encompassing the drug-naïve FEPs, MentalAId maintained an accuracy of 91.9%, underscoring its translational potential for early FEP recognition. Interpretability analyses identified indirect bilirubin, direct bilirubin, and basophil ratio as potential metabolic indicators.</p><p><strong>Conclusions: </strong>Collectively, MentalAId offers an accessible, affordable, and scalable solution to assist timely psychosis assessment and monitoring, irrespective of the complexity of pathology or manifestation of symptoms. By requiring standard blood tests solely, it can be easily integrated into existing healthcare workflow. This empowers long-term and population-wide monitoring of disease progression and prognosis, particularly during public health crises like COVID-19.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"740"},"PeriodicalIF":3.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of and risk factors for suicidal ideation among perinatal women with HIV infection: a systematic review, meta-analysis, and meta-regression.","authors":"Sobhan Shahiri, Seyedeh-Tarlan Mirzohreh, Hosein Azizi, Elham Davtalab Esmaeili, Laleh Pourmousavi, Leila Hosseini, Laya Farzadi","doi":"10.1186/s12888-025-07210-7","DOIUrl":"10.1186/s12888-025-07210-7","url":null,"abstract":"<p><strong>Background: </strong>The prevalence of suicidal ideation (SI) among HIV-positive pregnant women is a complex issue influenced by multiple risk factors. By addressing these risk factors and focusing on vulnerable regions, healthcare providers and policymakers can strive to alleviate the burden of SI in this population. The objective of this systematic review, meta-analysis, and meta-regression was to estimate the prevalence and identify risk factors for SI among HIV-positive pregnant women.</p><p><strong>Methods: </strong>The review systematically searched PubMed, Scopus and Web of Science to identify relevant studies published until December 2024. A meta-analysis was conducted to summarize the prevalence and risk factors for SI among pregnant women with HIV infection. Sensitivity and meta-regression analysis were performed to explore the potential sources of heterogeneity in the distribution and determinants of suicidal behaviors within this at-risk group.</p><p><strong>Results: </strong>The review identified 18 studies involving 5,242 participants. The overall prevalence of SI was 20.5%; 95% CI: 14.6 - 28.0% in pregnant women living with HIV, 19.8%; 95% CI: 12.6 - 29.6% in perinatal, and 14.9%; 95% CI: 7.8 - 26.5% in prenatal. The prevalence of SI was 17.1%, 20.3%, and 34.5% for the periods 2020-2024, 2015-2019, and 2000-2014, respectively. By gross domestic product (GDP), the prevalence was 16.9% in low, 23.0% in moderate, and 24.1% in high GDP countries, with the highest prevalence in the USA (24.2%). Among various risk factors, partner violence (OR = 1.44; 95% CI: 1.05-1.98), and higher education (OR = 0.80; 95% CI: 0.64-0.99) were identified as significant risk factors and protective factors, respectively. Meta-regression analysis indicated that GDP, partner violence, year, age, and depression were potential sources of heterogeneity, respectively.</p><p><strong>Conclusion: </strong>The results indicated a high prevalence of SI among perinatal women living with HIV. The educational level, GDP, partner violence, and year were significant risk factors and potential sources of heterogeneity. It is crucial to incorporate specific questions about suicidal ideation into routine prenatal care for this population, even when depressive symptoms are not apparent. These findings underscore the need for a multifaceted approach to addressing suicidal ideation in HIV-positive prenatal women.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"742"},"PeriodicalIF":3.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}