Asian journal of psychiatry最新文献

{"title":"Multi-omic dissection of clinically diagnosed and self-reported major depressive disorder reveals phenotype-specific genetic and proteomic architecture in East Asian populations","authors":"Weidi Wang , Xuechen Wang , Miaohan Deng , Yueyang Li, Lei Ding, Xia Li, Yao Yang, Zhe Liu, Yu Fang, Peijun Ju, Guan Ning Lin, Daihui Peng","doi":"10.1016/j.ajp.2025.104651","DOIUrl":"10.1016/j.ajp.2025.104651","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104651"},"PeriodicalIF":4.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780781","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":"Diagnosed by geography: The global divide in autism care","authors":"Najaf Ahmed Rajpar, Muskan Kumari, Sanya Ashraf Khaskheli, Sabahat Ul Ain Munir Abbasi","doi":"10.1016/j.ajp.2025.104650","DOIUrl":"10.1016/j.ajp.2025.104650","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104650"},"PeriodicalIF":4.5,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780687","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 Chinese Shorten Version of the Autism-Spectrum Quotient (AQ-CSV): Simplification and evaluation of psychometric properties","authors":"Zihan Xu , Zheng Zhang , Han Bao , Jiaying Wang , Tianyi Gu , Binyuan Su , Yuanyuan Wang , Pengmin Qin","doi":"10.1016/j.ajp.2025.104647","DOIUrl":"10.1016/j.ajp.2025.104647","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104647"},"PeriodicalIF":4.5,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780780","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":"Letter to the Editor: Toward personalized, evidence-based medicine for the use of esketamine in treatment-resistant depression","authors":"Yassine Benhaddouch, Adil El Ammouri","doi":"10.1016/j.ajp.2025.104649","DOIUrl":"10.1016/j.ajp.2025.104649","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104649"},"PeriodicalIF":4.5,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768333","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":"Bridging the mental health gap in oncology: A pharmacist-led stepped care model for China","authors":"Dandan Fan ,&nbsp;Pengcheng Liu ,&nbsp;Hua Liu ,&nbsp;Lei Chen ,&nbsp;Feng Cheng ,&nbsp;Zhu Shen","doi":"10.1016/j.ajp.2025.104648","DOIUrl":"10.1016/j.ajp.2025.104648","url":null,"abstract":"<div><div>Cancer patients in China face a significant mental health care gap due to systemic underprioritization and limited psychiatric resources. This comment proposes a pharmacist-led stepped care model (SCM) to bridge this disparity. The model stratifies patients by distress severity, offering tiered interventions from psychoeducation (mild symptoms) to specialist referrals (severe cases), coordinated by oncology pharmacists. By capitalizing on pharmacists’ medication management roles and collaboration with oncologists and psychiatrists, the SCM ensures culturally-grounded support through stigma-reduced terminology and family-inclusive decision protocols while optimizing resource allocation. This framework aligns with China’s hierarchical medical system and may serve as a blueprint for low- and middle-income countries confronting similar challenges in psycho-oncology integration.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104648"},"PeriodicalIF":4.5,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770735","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":"Barriers and facilitators to implementing the Let’s Talk about Children intervention in China: A qualitative study","authors":"Xun Wang ,&nbsp;Tianhang Zhou ,&nbsp;Lingzi Xu ,&nbsp;Zhi Sheng ,&nbsp;Liping Wen ,&nbsp;Xiujun Liu ,&nbsp;Xianmei Yang ,&nbsp;Xuehong Ma ,&nbsp;Xu Hong ,&nbsp;Guangming Liang ,&nbsp;Rui He ,&nbsp;Yong Dong ,&nbsp;Hong Ma ,&nbsp;Xin Yu ,&nbsp;Dafang Chen ,&nbsp;Lili Guan ,&nbsp;Graham Thornicroft","doi":"10.1016/j.ajp.2025.104645","DOIUrl":"10.1016/j.ajp.2025.104645","url":null,"abstract":"<div><h3>Background</h3><div>Evidence-based interventions often fail to translate into practice. This study aims to identify facilitators and barriers that affect the implementation of Let’s Talk about Children (LTC), a family-focused intervention for families of children with parental mental illness (COPMI). Furthermore, we aim to offer actionable strategies to scale up LTC in China.</div></div><div><h3>Method</h3><div>We assessed 48 Consolidated Framework for Implementation (CFIR) constructs and selected 10 constructs. We conducted focus groups guided by the CFIR to describe diverse stakeholders’ experience during the implementation process. Eight sites in China were selected based on geographic and economic feasibility. Focus groups were audio-recorded and transcribed for analysis.</div></div><div><h3>Results</h3><div>Implementation facilitators identified included: (1) acceptance of advantages, (2) adaptability, (3) access to knowledge and information, (4) fulfilled needs, (5) strong motivation, (6) teamwork. Study participants expressed mixed views on: (1) compatibility, that is, integration with workflow processes, and (2) engagement, that is, effect of attracting and encouraging participation. Implementation barriers included: (1) local attitudes on mental health, and (2) local resources, both of which were in the Outer Setting domain. Actionable strategies scaling up the implementation of LTC intervention were summarized.</div></div><div><h3>Conclusion</h3><div>As the advantages of the LTC program were widely recognized during our initial implementation, tailored training for mental health staff is essential to facilitate the development of family-focused practices to address the needs of COPMI and their families. Long-term efforts are necessary to decrease the negative impact of the identified barriers and refine the LTC program for future scalability.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104645"},"PeriodicalIF":4.5,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770734","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":"Exploring the differences in psychometric properties of commonly used self-rating depression scales across various populations in China: A quantitative systematic review","authors":"Yan-Jie Zhao ,&nbsp;Ping-Ping Gui ,&nbsp;Jin-Jie Xu ,&nbsp;Tong Guo ,&nbsp;Jing Li ,&nbsp;Jing Wang ,&nbsp;Gang Wang ,&nbsp;Linghui Meng","doi":"10.1016/j.ajp.2025.104635","DOIUrl":"10.1016/j.ajp.2025.104635","url":null,"abstract":"<div><h3>Background</h3><div>Depression, a mental health condition affecting millions globally, poses significant challenges in clinical diagnosis and treatment due to its unclear pathophysiological mechanism and lack of effective diagnostic biomarkers. While rating scales remain crucial for identifying and evaluating depression, their reliability and validity across diverse populations remain understudied. This study aims to systematically compare the internal consistency reliability and criterion validity of four commonly used self-rating depression scales, the Patient Health Questionnaire-9 (PHQ-9), the Zung Self-Rating Depression Scale (SDS), the Beck Depression Inventory (BDI), and the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) in Chinese populations.</div></div><div><h3>Methods</h3><div>A quantitative systematic review was conducted, encompassing a literature search of Chinese and English medical databases, screening and selection of eligible studies, and data extraction. Internal consistency reliability (Cronbach's α) and criterion validity (correlation coefficients) of each scale were compared across studies and sub-populations. Data analyses were performed using R language version 4.3.1.</div></div><div><h3>Results</h3><div>A total of 53 studies involving 35,676 participants were included. PHQ-9 was validated in more diverse sub-populations than the other scales. The BDI exhibited the highest overall internal consistency reliability. PHQ-9 and QIDS-SR demonstrated lower internal consistency reliabilities among older adults. BDI had relatively lower Cronbach’s α in female patients with infertility, while SDS had relatively lower Cronbach’s α among patients with liver cirrhosis and women in rural areas. Criterion validities varied across scales, with the most frequently used criterion being the Hamilton Depression Scale-17 (HAMD-17).</div></div><div><h3>Conclusion</h3><div>This systematic review provides valuable insights into the psychometric properties of commonly used depression scales in Chinese populations. The findings highlight the need for further research on the adaptability of these scales across diverse populations, particularly in older adults and those with specific health conditions.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104635"},"PeriodicalIF":4.5,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768332","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":"Urban built density and brain connectivity predict antipsychotic response in a sex-specific manner in Schizophrenia","authors":"Urvakhsh Meherwan Mehta ,&nbsp;Neelabja Roy ,&nbsp;Aishwarya Narayana ,&nbsp;Shashwath Ravisundar ,&nbsp;Jagadisha Thirthalli","doi":"10.1016/j.ajp.2025.104631","DOIUrl":"10.1016/j.ajp.2025.104631","url":null,"abstract":"<div><h3>Background</h3><div>Urbanicity is a well-established environmental risk factor for schizophrenia, particularly in males, yet it is also associated with better antipsychotic treatment response. We aimed to identify resting-state functional connectivity (rsFC) correlates of neighborhood geospatial features in a hypothesis-free, whole-brain analysis of individuals with first-episode schizophrenia (FES). We further examined whether these geospatial variables and their rsFC correlates interact with sex to predict response to oral risperidone over six weeks.</div></div><div><h3>Methods</h3><div>We studied 48 antipsychotic-naïve individuals with FES residing in or around Bangalore, India. Whole-brain within-network connectivity analyses were conducted to identify rsFC correlates of neighborhood built-density and green space. We tested whether sex moderated the relationship between geospatial variables (or their rsFC correlates) and treatment response using a moderation analysis framework implemented through structural equation modelling.</div></div><div><h3>Results</h3><div>Higher built density was associated with increased connectivity in the superior occipital and default mode networks, and decreased connectivity in the basal ganglia–thalamic network. While built density and rsFC measures were not significantly associated with treatment response in the overall sample, sex-specific disordinal interactions were observed: in males, higher built density and associated rsFC predicted greater symptom improvement; in females, the same features predicted poorer treatment response.</div></div><div><h3>Conclusions</h3><div>In FES, built density and its rsFC correlates are associated with treatment response in opposite directions, depending on sex – beneficial in males and detrimental in females – supporting a differential susceptibility model. These findings highlight the importance of incorporating neurourbanism and sex-specific approaches into personalized psychiatric care.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104631"},"PeriodicalIF":3.8,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703281","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":"Early diagnosis of mild cognitive impairment and Alzheimer’s disease using multimodal feature-based deep learning models in a Chinese elderly population","authors":"Chu Wang ,&nbsp;Zhengyi Wang ,&nbsp;María Trinidad Herrero ,&nbsp;Tao Xu ,&nbsp;Fengfeng Chu ,&nbsp;Hong Zeng ,&nbsp;Ming Tao","doi":"10.1016/j.ajp.2025.104632","DOIUrl":"10.1016/j.ajp.2025.104632","url":null,"abstract":"<div><h3>Background</h3><div>Alzheimer’s disease (AD) and mild cognitive impairment (MCI) are progressive neurodegenerative disorders with no effective treatments currently, underscoring the urgent need for early diagnosis. Electroencephalography and event-related potentials (ERP) provide noninvasive, cost-effective methods with high temporal resolution for detecting cognitive decline, while traditional Chinese medicine (TCM) features such as body constitutions have been identified as risk factors for MCI. Recent developments in artificial intelligence (AI) especially deep learning architectures have further improved the diagnostic accuracies of AD and MCI. This study aimed to assess the efficacy of deep learning models based on fused ERP and TCM features in the cross-subject classification of cognitive impairment.</div></div><div><h3>Methods</h3><div>Visual oddball ERP tasks under Neutral, Happiness, or Sadness stimulus were conducted among 30 healthy controls (HC, 12 males and 18 females), 30 MCI (10 males and 20 females), and 30 AD (10 males and 20 females) patients. Deep learning models, including EEGNet, Convolutional Neural Network - Long Short-Term Memory, Graph Convolutional Network, (GCN), and multi-scale feature reconstruction GCN, were employed to extract differential entropy features from ERP data, and multilayer perceptron was utilized to extract features from TCM questionnaires. After feature fusion, 10-fold cross-subject binary (HC vs. MCI+AD; MCI vs. AD) and ternary (HC, MCI, AD) classification tasks were performed subsequently.</div></div><div><h3>Results</h3><div>GCN significantly outperformed other models in all three cross-subject classification tasks. In binary classification tasks distinguishing HC from MCI and AD, GCN achieved accuracies of 90.17 ± 5.58 %, 86.73 ± 2.34 %, and 84.73 ± 4.28 % under Neutral, Happiness, and Sadness, respectively. Similarly, in ternary classification of HC, MCI, and AD, GCN reached the highest accuracy of 72.67 ± 1.89 % under Neutral stimulus.</div></div><div><h3>Conclusions</h3><div>Leveraging fused ERP and TCM features, deep learning models have demonstrated robust cross-subject efficacy in the early diagnosis of cognitive decline. Particularly in distinguishing HC from MCI and AD, the performance of GCN was comparable to that of hematological biomarkers. Our study, therefore, highlights a reliable and effective AI-driven methodology for the early diagnosis of cognitive impairment in clinical settings.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104632"},"PeriodicalIF":4.5,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750127","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":"Developing and pilot testing a collaborative, locally contextualized supported employment program for persons with mental illness in Chennai, Tamil Nadu","authors":"Aravind Guru ,&nbsp;Abhinav Ajay ,&nbsp;J. Selva Savari Raj ,&nbsp;Harini Kannan ,&nbsp;K.R. Manjukashika ,&nbsp;C.H. Manisha ,&nbsp;Durairaj Jothilakshmi ,&nbsp;T. Siva Ilango ,&nbsp;P.P. Kannan ,&nbsp;Sharon Joe Daniel ,&nbsp;Jayakumar Menon ,&nbsp;R. Mangala ,&nbsp;Vijaya Raghavan","doi":"10.1016/j.ajp.2025.104633","DOIUrl":"10.1016/j.ajp.2025.104633","url":null,"abstract":"<div><h3>Background</h3><div>Employment is a key factor aiding in the recovery and social reintegration of persons with mental illness (PwMI). However, the PwMI demographic in India faces high rates of unemployment, highlighting a need for the development of structured, culturally sensitive, and regionally adapted supported employment programs.</div></div><div><h3>Aim</h3><div>This study aimed to develop and pilot test a supported employment program designed to enhance job opportunities for PwMI in Chennai, India.</div></div><div><h3>Methods</h3><div>A desk review was conducted to examine existing employment support models for PwMI in India. Qualitative interviews were held with key stakeholders, including PwMI, caregivers, mental health professionals, and employers, to identify employment barriers and facilitators. An expert panel used these insights to co-design and develop a locally relevant supported employment program. The program was pilot-tested in Chennai from May 2023 to May 2024. Job placement and dropout rates were used to assess feasibility and effectiveness.</div></div><div><h3>Results</h3><div>Of the 213 participants, 63 secured competitive employment, 37 were enrolled in skill training programs, and 40 remained in active job placement efforts. However, 54 individuals were deemed not readily employable due to functional limitations, and 16 dropped out. A total of 12 employers and 20 training organizations partnered with the program, contributing to its 62.8 % job placement rate.</div></div><div><h3>Conclusion</h3><div>The study demonstrates the operational potential of a regionally adapted supported employment program for PwMI in India. Future research should examine long-term job retention, workplace integration, and employment sustainability.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"111 ","pages":"Article 104633"},"PeriodicalIF":3.8,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703280","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}