BMC Psychiatry最新文献

{"title":"Correction: Understanding adolescent self-harm attempts in Ghana: a qualitative analysis of family and social risk factors.","authors":"Wisdom Kudzo Axame, Lebene Kpodo, James Kofi Bilabam, Rebecca Assiam, Nuworza Kugbey, Sitsofe Gbogbo","doi":"10.1186/s12888-025-06870-9","DOIUrl":"10.1186/s12888-025-06870-9","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"596"},"PeriodicalIF":3.4,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12199481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Effect of inhibition of reactivated alcohol-associated memories with propranolol on alcohol craving.","authors":"Shuai Yu, Peng-Jiao Xu, Le Shi, Xiao-Yang Zhang, Chuan-Sheng Wang, Fang Wu, Xiao Li, Ping Cui, RuiLing Zhang, Lin Lu, Ya-Hui Xu","doi":"10.1186/s12888-025-07086-7","DOIUrl":"10.1186/s12888-025-07086-7","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"595"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175425/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychiatrists' experiences with the implementation of safewards and other quality improvement work: an explorative, qualitative interview study.","authors":"Martin Lindow, Mårten J Tyrberg, Veikko Pelto-Piri, Anna Björkdahl","doi":"10.1186/s12888-025-07058-x","DOIUrl":"10.1186/s12888-025-07058-x","url":null,"abstract":"<p><strong>Background: </strong>Restrictive practices, such as seclusion and restraint, in psychiatric inpatient settings carry significant risks of harm and raise critical ethical concerns, which has prompted efforts to minimize their use. Models like Safewards, with its ten interventions, have shown promise in reducing conflict and containment but require active engagement from all healthcare professionals. Despite their leadership roles, psychiatrists' engagement in implementing Safewards remains underexplored, even though their involvement is likely critical for the model's success. This study aimed to identify key facilitators and barriers to psychiatrists' engagement in implementing Safewards and other quality improvement work.</p><p><strong>Methods: </strong>In this qualitative exploratory study, semi-structured interviews and inductive content analysis were utilized. Ten psychiatrists from nine psychiatric clinics in Sweden, providing both voluntary and involuntary care and implementing Safewards to varying extents, were recruited via convenience sampling. Participants, equally distributed by gender, had an average of 12 years of experience in their roles. Interviews were conducted in person or digitally, lasting 30-90 min, and transcribed verbatim. Data were analyzed using qualitative content analysis, with coding and categorization conducted collaboratively to ensure consistency. Reflexive practice and the COREQ checklist were applied to enhance trustworthiness.</p><p><strong>Results: </strong>Psychiatrists' engagement in Safewards and quality improvement efforts was influenced by factors tied to their professional role and the clinical work environment. Positive influences included leadership aspects, professional training, and visible benefits for patient care, such as improved communication with patients and staff. Barriers included a narrow care perspective, feelings of detachment from holistic patient care, and the unpredictable nature of psychiatrists' work. Time allocation, prioritization, and support from local management also played crucial roles in shaping engagement.</p><p><strong>Conclusions: </strong>This study identifies key facilitators and barriers to psychiatrists' engagement in implementing Safewards, offering guidance for enhancing their participation. Strengthening leadership, broadening perspectives, and ensuring protected time for quality improvement initiatives may optimize multidisciplinary collaboration. Future research should examine whether increased psychiatrist participation positively affects Safewards outcomes.</p><p><strong>Trial registration: </strong>Clinical trial number: not applicable.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"593"},"PeriodicalIF":3.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12153107/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144274151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI for mental health: clinician expectations and priorities in computational psychiatry.","authors":"Leo Fischer, Paula Antonia Mann, Minh-Hieu H Nguyen, Stefan Becker, Shiva Khodadadi, Antonia Schulz, Sharmili Edwin Thanarajah, Jonathan Repple, Tim Hahn, Andreas Reif, Amir Salamikhanshan, Sarah Kittel-Schneider, Winfried Rief, Christoph Mulert, Stefan G Hofmann, Udo Dannlowski, Tilo Kircher, Felix P Bernhard, Hamidreza Jamalabadi","doi":"10.1186/s12888-025-06957-3","DOIUrl":"10.1186/s12888-025-06957-3","url":null,"abstract":"<p><p>Mental disorders represent a major global health challenge, with an estimated lifetime prevalence approaching 30%. Despite the availability of effective treatments, access to mental health care remains inadequate. Computational psychiatry, leveraging advancements in artificial intelligence (AI) and machine learning (ML), has shown potential for transforming mental health care by improving diagnosis, prognosis, and the personalization of treatment. However, integrating these technologies into routine clinical practice remains limited due to technical and infrastructure challenges. While ongoing computational developments will enhance AI's precision, many studies focus on its broad potential without providing specific, clinician-informed guidance for immediate application. To address this gap and the urgent need for clinically actionable AI tools, we surveyed 53 psychiatrists and clinical psychologists to identify their priorities for AI in mental health care. Our findings reveal a strong preference for tools enabling continuous monitoring and predictive modeling, particularly in outpatient settings. Clinicians prioritize accurate predictions of symptom trajectories and proactive patient monitoring over interpretability and explicit treatment recommendations. Self-reports, third-party observations, and sleep quality and duration emerged as key data inputs for effective models. Together, this study provides a clinician-driven roadmap for AI integration, emphasizing predictive models based on ecological momentary assessment (EMA) data to forecast disorder trajectories and support real-world practice.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"584"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12143059/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Personality functioning in bipolar 1 disorder and borderline personality disorder.","authors":"Karin Feichtinger, Clarissa Laczkovics, Johanna Alexopoulos, Maria Gruber, Miriam Klauser, Karoline Parth, Antonia Wininger, Michael Ossege, Josef Baumgartner, Stephan Doering, Victor Blüml","doi":"10.1186/s12888-025-06993-z","DOIUrl":"10.1186/s12888-025-06993-z","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"586"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12142980/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An individual-specific understanding of how synchrony becomes curative: study protocol.","authors":"Sigal Zilcha-Mano, Yael Bouknik, Michal Malka, Tal Krasovsky","doi":"10.1186/s12888-025-06539-3","DOIUrl":"10.1186/s12888-025-06539-3","url":null,"abstract":"<p><strong>Background: </strong>Interpersonal interactions are a fundamental part of daily life, shaping mental health in profound ways. Yet, the mechanisms by which these interactions influence mental health remain poorly understood.</p><p><strong>Aims: </strong>This research is the first to systematically and prospectively test the conceptual framework proposed by Zilcha-Mano (2024), which introduces the concept of an individual-specific synchrony signature-a trait-like characteristic that distinguishes individuals based on their unique patterns of synchronizing across interpersonal relationships and contexts. It builds on the framework's challenge to the prevailing assumption that higher levels of synchrony are universally beneficial, instead positing that synchrony becomes curative when tailored corrections are made to an individual's signature. Specifically, for synchrony to serve as a mechanism of therapeutic change, the direction and magnitude of the required synchrony adjustments must be tailored to align with the unique characteristics of the individual's synchrony signature.</p><p><strong>Methods: </strong>This research uses psychotherapy as a case demonstration of curative relationships, offering a contained environment that combines the authenticity of real interpersonal dynamics with the sterile precision of laboratory conditions for examining synchrony dynamics. Study 1 uses the innovative Synchrony Interaction Paradigm to investigate the existence and characteristics of individual-specific synchrony signatures in a sample of 68 participants, including individuals with major depressive disorder (MDD; N = 34). Study 2 examines how tailored adjustments to these signatures facilitate therapeutic change, using a randomized controlled trial with 78 individuals diagnosed with MDD assigned to therapy targeting interpersonal mechanisms or to a waiting list. Both studies employ multimodal markers (e.g., motion, acoustic, physiological, hormones, and facial expressions) to disentangle the stable trait-like components of synchrony from state-like deviations occurring in real-time interactions with humans and virtual humans.</p><p><strong>Implications: </strong>This research redefines synchrony as an individual-specific mechanism of change, offering insights into its multi-modal nature and advancing a personalized framework for understanding its effect on mental health. The findings bridge critical gaps in synchrony research and contribute to more targeted and effective therapeutic interventions.</p><p><strong>Trial registration: </strong>clinicaltrials.gov Identifier: NCT06749392 submitted on December 12 st 2024.</p><p><strong>Trial status: </strong>Recruitment has not started yet.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"587"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12142965/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of sleep modifiable factors and the correlation with non-suicidal self-injury: the important role of problematic mobile phone use and mental health.","authors":"Li Zhu, Keyan Hu, Qingqing Kang, Yijing Chen, Li Gong, Qiu Zhang, Yi Zhang","doi":"10.1186/s12888-025-07022-9","DOIUrl":"10.1186/s12888-025-07022-9","url":null,"abstract":"<p><strong>Backgrounds: </strong>Non-suicidal self-injury (NSSI) has long affected people's lives and is an important and serious public health issue, especially among college students. This study aims to identify modifiable factors, including problematic mobile phone use (PMPU) and mental health (MH), etc. Only a few studies have mentioned the correlation between PMPU and NSSI, this study focus on its association with suicide, and whether this association is moderated by chronotype and MH needs to be confirmed by research.</p><p><strong>Methods: </strong>A cross-sectional study design investigated the association between PMPU, chronotype and MH and NSSI. We collected information from participants using an electronic questionnaire that included general demographics, PMPU, NSSI, and sleep-related variables (chronotype, weekday and weekend sleep duration). Participants completed standardized questionnaires, including mobile phone addiction tendency scale (MPATS) for PMPU, the Morningness-Eveningness Questionnaire (MEQ) for chronotype, Patient Health Questionnaire (PHQ-9) for depression symptoms, Generalized Anxiety Scale (GAD-7) for anxiety symptoms, and the non-suicidal self-injury (NSSI) for suicide risk. A multivariable linear regression model measure these variables, and moderation model which using the PROCESS method examined the relationship of PMPU, chronotype and MH and NSSI.</p><p><strong>Results: </strong>A total of 5639 adolescents were included in the study, with a mean age of 19.64 [± 0.90] years), and 46.3% of the participants were male. The prevalence of NSSI was 12.1%, in multivariate linear regression, high levels of PMPU (β = 0.362), eveningness (β = 0.665), depression (β = 1.183), and anxiety (β = 1.308) were all associated with higher NSSI, indicating a significant association. In the analysis results of moderation, chronotype and MH also moderated the relationship between PMPU and NSSI, indicating that there was a relationship between PMPU, chronotype, MH and NSSI.</p><p><strong>Conclusions: </strong>This study highlights the important role of PMPU and mental health in predicting NSSI. Interventions targeting these modifiable factors may help reduce the prevalence of NSSI among young adults. Improving sleep hygiene, reducing mobile phone abuse, and providing appropriate psychological support are effective strategies to prevent NSSI. Educational institutions and society should strengthen guidance on the proper use of digital media by young people, especially among college students, promote healthy lifestyles, and establish early identification and support systems to help those individuals at risk.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"591"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12144720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of depression and associated anxiety symptoms on clinical outcomes in elderly inpatients with digestive system diseases in Southwest China: a retrospective cohort study.","authors":"Defang Ren, Xingyue Wang, Hongping Shen, Tao Li, Xingyu Sun","doi":"10.1186/s12888-025-07038-1","DOIUrl":"10.1186/s12888-025-07038-1","url":null,"abstract":"<p><strong>Background: </strong>Anxiety and depression are prevalent among elderly inpatients and may significantly influence clinical outcomes, particularly in patients with chronic diseases. However, limited research has explored these psychological conditions in elderly patients with digestive system diseases in the Southwest China region.</p><p><strong>Objective: </strong>This study aimed to evaluate the associations between depression symptoms and clinical outcomes in elderly inpatients with digestive system diseases in Southwest China. Anxiety symptoms were examined as an associated variable and further analyzed in exploratory subgroup assessments.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted using data from 1,290 elderly inpatients aged 60 years or older hospitalized with a primary diagnosis of digestive system disease between January 2018 and December 2022 at a tertiary care hospital in Southwest China. Anxiety and depression symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS), with a score ≥ 8 indicating clinically relevant symptoms. Clinical outcomes included prolonged hospital stay (≥ 14 days), hospitalization costs, complications during hospitalization, 30-day readmission, and in-hospital mortality. Multivariable logistic regression models were used to examine the associations, and subgroup analyses stratified by gender and age were performed.</p><p><strong>Results: </strong>Anxiety symptoms were observed in 33.2% of patients, while 37.4% exhibited depression symptoms. Depression was significantly associated with longer hospital stays (14.2 ± 6.3 vs. 11.3 ± 5.2 days, P < 0.001), higher hospitalization costs (¥12,300 vs. ¥10,800, P < 0.001), and increased complication rates, including infections (29.5% vs. 20.8%, P < 0.001) and gastrointestinal bleeding (19.1% vs. 11.6%, P < 0.001). Subgroup analyses revealed that anxiety symptoms were strongly associated with prolonged hospital stays, particularly among female patients aged ≥ 70 years (adjusted OR: 2.35, 95% CI: 1.68-3.30, P < 0.001). Multivariable analysis identified poor sleep quality, cognitive impairment, and digestive system tumors as variables independently associated with anxiety symptoms.</p><p><strong>Conclusion: </strong>Anxiety and depression symptoms are prevalent among elderly inpatients with digestive system diseases in Southwest China and are associated with adverse clinical outcomes, including prolonged hospital stay, increased healthcare costs, and higher complication rates. Female patients and those aged ≥ 70 years are particularly vulnerable. Early psychological assessment and targeted interventions may improve clinical outcomes in this population.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"585"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12142909/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attempted suicide short intervention program for older adults 65+ (ASSIP-OA): a study protocol for a multicentre randomised controlled trial.","authors":"Sara Hed, Anne Ingeborg Berg, Maria Tillfors, Anna Ehnvall, Åsa Westrin, Stefan Wiktorsson, Anja Gysin-Maillart, Margda Waern","doi":"10.1186/s12888-025-07016-7","DOIUrl":"10.1186/s12888-025-07016-7","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"588"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12142994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study.","authors":"Yueying Wang, Jinle Wang, Pei Chen, Jiahui Zhang, Qin Lin, Bilgay Izci-Balserk, Yan Li, Bei Bei, Bingqian Zhu","doi":"10.1186/s12888-025-07026-5","DOIUrl":"10.1186/s12888-025-07026-5","url":null,"abstract":"<p><strong>Background: </strong>Depression is common among pregnant women and identifying modifiable risk factors is critical (e.g., sleep). Individual sleep dimensions, e.g., short sleep duration and poor sleep quality, were associated with a higher risk of depression, while whether the multidimensional construct of sleep health could be a protective or risk factor for prenatal depression remains unknown. This study aimed to examine the relationship between multidimensional sleep health and depression during late pregnancy.</p><p><strong>Methods: </strong>This study was conducted among women during late pregnancy (28-40 weeks). Sleep health was measured by self-report questionnaires. Each dimension (sleep quality, duration, efficiency, timing, regularity and daytime sleepiness) was categorized as \"good\" or \"poor\". A composite sleep health score was calculated. Depression was measured using the Edinburgh Postnatal Depression Scale. Logistic regression analyses were used to examine the associations between individual sleep health dimensions and depression. Restricted cubic spline analysis was used to explore the dose-response relationship between overall sleep health and depression.</p><p><strong>Results: </strong>A total of 329 women were included. Their mean age was 31.6 years and the mean gestational age was 34.7 weeks. Sixty (18.2%) had clinically elevated depression. There was a dose-response relationship between composite sleep health score and depression, with a higher sleep health score associated with a lower risk of depression (OR = 0.572, 95%CI = 0.423-0.774, p for linearity < 0.001). Controlling for covariates, poor sleep quality (OR = 3.485, 95%CI = 1.817-6.683, p < 0.001), short sleep duration (OR = 3.462, 95%CI = 1.513-7.924, p = 0.003), and excessive daytime sleepiness (OR = 3.409, 95%CI = 1.804-6.442, p < 0.001) were associated with a higher risk of depression.</p><p><strong>Conclusion: </strong>Both overall sleep health and individual dimensions (sleep quality, short sleep duration, and daytime sleepiness) were associated with depression during late pregnancy. These findings highlight the potential benefits of maintaining sleep health to achieve mental wellbeing in pregnant women. Healthcare providers may consider adding the assessment and management of sleep health as part of routine prenatal care.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"592"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12144837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}