Asian journal of psychiatry最新文献

{"title":"From intent to impact: Reflections on India’s approach to scaling mental health services","authors":"K.M. Surapaneni, R.F. D’Souza, Rajiv Tandon","doi":"10.1016/j.ajp.2026.104836","DOIUrl":"10.1016/j.ajp.2026.104836","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104836"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145922069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional neurological symptoms and their correlates across four Asian samples: Should they be classified as a dissociative disorder?","authors":"Tsz Lam Chan ,&nbsp;Valerie Yan Tung Siu ,&nbsp;Shan-yan Huang ,&nbsp;Amos En Zhe Lian ,&nbsp;Marc Eric S. Reyes ,&nbsp;Görkem Derin ,&nbsp;Aslı Dila Akiş ,&nbsp;Audrey Zatopek ,&nbsp;Stanley Kam Ki Lam ,&nbsp;Peejay D. Bengwasan ,&nbsp;Hong Wang Fung","doi":"10.1016/j.ajp.2026.104831","DOIUrl":"10.1016/j.ajp.2026.104831","url":null,"abstract":"<div><div>Whether functional neurological symptom disorder should be classified as a dissociative disorder remains a subject of debate. This multi-site, cross-cultural study investigated functional neurological symptoms and psychoform dissociation among college students in the Philippines (N = 219), Turkey (N = 160), Malaysia (N = 240), and Taiwan (N = 766). Across the four samples, between 50.0 % and 74.2 % of participants with functional neurological symptoms exhibited co-occurring psychoform dissociative symptoms. Controlling for confounding variables (e.g., age, gender, childhood adversities, and symptoms of depression, anxiety, and complex PTSD), psychoform dissociative symptoms emerged as the strongest and most robust correlate of functional neurological symptoms in three out of four samples (Philippines: β = .502, Turkey: β = .665, Malaysia: β = .541). Psychoform dissociative symptoms were also significantly associated with functional neurological symptoms in the Taiwan sample (β = .122), although not the strongest predictor. The results that were replicated across four culturally different samples support classifying functional neurological symptom disorder as possibly dissociative in nature in future ICD and DSM. Individuals who present with functional neurological symptoms should be screened for dissociative disorders.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104831"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145922070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From childhood trauma to body distortion in schizophrenia: The mediating role of early maladaptive schemas","authors":"Clément Dondé ,&nbsp;Catherine Bortolon ,&nbsp;Lison Demartini ,&nbsp;Marine Mondino ,&nbsp;Jerome Brunelin","doi":"10.1016/j.ajp.2025.104820","DOIUrl":"10.1016/j.ajp.2025.104820","url":null,"abstract":"<div><h3>Background</h3><div>Disturbances in body perception are increasingly recognized as core features of schizophrenia, yet the psychological mechanisms linking childhood trauma to body distortion remain unclear. Young’s Early maladaptive schemas (EMS), pervasive cognitive-affective patterns rooted in early adversity, may mediate this relationship.</div></div><div><h3>Methods</h3><div>Twenty-two adults with schizophrenia were assessed for childhood trauma (Childhood Trauma Questionnaire), early maladaptive schemas (Young Schema Questionnaire–Short Form), and body distortion experiences (Cardiff Anomalous Perception Scale). Spearman correlations explored associations between variables. Mediation analyses, employing nonparametric bootstrapping, tested whether EMS mediated the relationship between childhood trauma and body distortion.</div></div><div><h3>Results</h3><div>Higher childhood trauma scores were associated with greater body distortion (r = 0.50, p = .031). Among EMS, Mistrust/abuse and Entitlement/grandiosity were significantly correlated with both childhood trauma and body distortion. Mediation analyses revealed significant average causal mediation effects for the Mistrust/abuse schema (estimate = 0.026, p = .008) and Entitlement/grandiosity schema (estimate = 0.020, p = .018), with non-significant direct effects, suggesting full mediation. The proportion of mediation was 59 % and 45 %, respectively.</div></div><div><h3>Conclusions</h3><div>These findings suggest that specific maladaptive schemas mediate the impact of childhood trauma on bodily self-disturbances in schizophrenia. The Mistrust/abuse schema may disrupt embodied self-perception through hypervigilance and dissociative processes, whereas Entitlement/grandiosity may alter internal body representations as a defensive strategy. Targeting EMS in trauma-focused interventions may help reduce body-related anomalies in schizophrenia. Further longitudinal studies are warranted to confirm these preliminary results.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104820"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145881671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From exclusion to inclusion: Why premenstrual dysphoric disorder (PMDD) research must include transgender and gender-diverse (TGD) menstruators","authors":"Raja Babu Ramawat ,&nbsp;Omar Afroz ,&nbsp;Rajesh Sagar","doi":"10.1016/j.ajp.2025.104810","DOIUrl":"10.1016/j.ajp.2025.104810","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104810"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting psychiatrists' admission decisions for suicide attempters: Development and validation of the Japanese modified SAD PERSONS scale (MSPS-J)","authors":"Kakusho Chigusa Nakajima-Ohyama ,&nbsp;Mika Ninomiya ,&nbsp;Yoshiko Uehara ,&nbsp;Kana Yamamoto ,&nbsp;Kei Nakamura ,&nbsp;Takahiro Takeuchi ,&nbsp;Ryota Sato ,&nbsp;Shotaro Uchiyama ,&nbsp;Yasuhiro Kishi","doi":"10.1016/j.ajp.2025.104817","DOIUrl":"10.1016/j.ajp.2025.104817","url":null,"abstract":"<div><h3>Background</h3><div>Suicide remains a major public health challenge across Asia, where psychiatrist shortages are severe. In Japan, psychiatric emergencies for suicide attempts frequently occur during times without psychiatrist availability. Accurate prediction of suicide itself remains difficult, therefore, the decision by psychiatrists to hospitalize suicide attempters might be a practical outcome for triage.</div></div><div><h3>Objective</h3><div>As a pilot study, we aimed to develop a Japanese version of the Modified SAD PERSONS Scale (MSPS-J), evaluate its reliability and validity for psychiatrists’ hospitalization decisions among suicide attempters, and determine whether inclusion of an agitation item improves the performance.</div></div><div><h3>Methods</h3><div>This retrospective study analyzed medical records of 203 consecutive suicide attempters from 2022 to 2024. After excluding 59 cases with missing data, 144 cases were included. The primary outcome was psychiatrists' admission decisions. Receiver operating characteristic (ROC) analysis assessed predictive accuracy. Reliability was evaluated using K-fold cross-validation and bootstrapping. Sensitivity analyses using multiple imputation were performed for missing data.</div></div><div><h3>Results</h3><div>The MSPS-J achieved an AUC of 0.867 (95 % CI 0.805–0.930). At a cut-off ≥ 6, specificity was 76.3 % and sensitivity 78.7 %. Adding a one‑point agitation item raised the AUC to 0.879 and two points to 0.885. K-fold cross-validation and bootstrapping demonstrated high reproducibility. Sensitivity analysis using multiple imputation suggested robustness although selection bias of excluded cases remained.</div></div><div><h3>Conclusions</h3><div>The MSPS-J is expected to be a practical tool to support non-specialists’ decisions regarding psychiatric hospitalization in suicide attempters when psychiatrists are unavailable. MSPS-J could support suicide prevention in resource-limited clinical settings. Further study is needed.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104817"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145910286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in psychiatry: Current and emerging trends, clinical applications, and research gaps explored through a bibliometric analysis","authors":"Ezgi Cellat ,&nbsp;Emre Demir","doi":"10.1016/j.ajp.2026.104828","DOIUrl":"10.1016/j.ajp.2026.104828","url":null,"abstract":"<div><h3>Objective</h3><div>The aim of this study is to analyze AI-based scientific publications in psychiatry using bibliometric methods to identify prominent themes, research trends, and future opportunities.</div></div><div><h3>Methods</h3><div>Original articles published between 1980 and 2025 and indexed in the “Psychiatry” category of the Web of Science were screened. The search strategy included keywords such as “artificial intelligence,” “machine learning,” and “deep learning.” A total of 2328 original research articles were included in the analysis. Bibliometric analyses were conducted using the Bibliometrix package in RStudio. Publication trends over the years, keyword analysis, trend analysis, and factor analysis were applied.</div></div><div><h3>Results</h3><div>Keyword analyses revealed that themes such as depressive disorders, schizophrenia, suicide, anxiety, bipolar disorder, psychosis, and digital health were central. Trend analyses showed that neurobiological markers dominated between 2014 and 2017; early psychosis, symptom severity, and fMRI were prominent between 2018 and 2020; and neurodegenerative disorders and connectivity concepts gained importance after 2021. The rise of themes such as “mental health,” “digital health,” and “interpretability” in 2024–2025 reflects both the digitalization of healthcare delivery and the growing demand for algorithmic transparency.</div></div><div><h3>Conclusion</h3><div>The findings indicate that AI in psychiatry holds transformative potential not only for diagnosis and prediction but also for digital health, personalized treatment, ethical governance, and community mental health. Moreover, the intensive examination of focus areas such as depression, schizophrenia, and suicide highlights the strong alignment of the field with clinical priorities. However, external validity, data heterogeneity, explainability, and ethical integration remain critical research gaps to be addressed.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104828"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145916740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of spatial and intensity level augmentation of structural magnetic resonance images on autism diagnosis model","authors":"D. Swainson Sujana,&nbsp;Peter Augustin D","doi":"10.1016/j.ajp.2026.104830","DOIUrl":"10.1016/j.ajp.2026.104830","url":null,"abstract":"<div><div>In deep learning, the robustness and generalizability of models significantly depend on diverse and heterogeneous training data. Acquiring such an extensive dataset is challenging in fields like disorder prediction due to data scarcity, which can be attributed to factors such as privacy concerns, limited patient population, or inadequate facilities. Data augmentation can be an ideal solution to this problem, particularly in the field of disorder prediction, like autism, using medical imaging. Data augmentation can expand and balance datasets by generating high-quality and varied data, thereby improving the generalizability of deep learning models. This study proposed two types of augmentation methods: 1. Spatial level 2. Intensity level augmentation techniques. Eight different levels of augmentations were experimented with across these categories. This study found that the combination of spatial and intensity level augmentations enhanced the model’s generalizability and robustness, achieving an AUC value of 0.7433. Additionally, it was observed that the Left to Right flip method, under spatial augmentation, diminished the model’s performance, whereas random noise injection, under intensity level augmentation, improved prediction accuracy.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104830"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145916666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between Muslim population, legal status, political system, geography, income category, human development index, and suicide rates in Asian countries: An ecological analysis","authors":"S.M. Yasir Arafat,&nbsp;Marthoenis Marthoenis,&nbsp;Rizwana Amin,&nbsp;David Lester,&nbsp;Nafia Farzana Chowdhury,&nbsp;Mohsen Rezaeian","doi":"10.1016/j.ajp.2025.104825","DOIUrl":"10.1016/j.ajp.2025.104825","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104825"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145916675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of risk features for methamphetamine dependence using a machine learning model and comprehensive multimodal measures","authors":"Arsalan Haider ,&nbsp;Farhan Haider,&nbsp;Ana Estéveze,&nbsp;Dong-Mei Wang ,&nbsp;Xiang-Yang Zhang","doi":"10.1016/j.ajp.2025.104823","DOIUrl":"10.1016/j.ajp.2025.104823","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104823"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145910302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital innovation for scaling evidence-based interventions: A balanced approach to bridging implementation gaps in let's talk about children","authors":"Styo Mahendra Wasita Aji,&nbsp;Vivi Astuti Nurlaily,&nbsp;Mujahidin Farid,&nbsp;Nanda Veruna Enun Kharisma,&nbsp;Eva Amalia,&nbsp;Herti Prastitasari,&nbsp;Aldy Ferdiyansyah","doi":"10.1016/j.ajp.2025.104812","DOIUrl":"10.1016/j.ajp.2025.104812","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104812"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145910304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}