Asian journal of psychiatry最新文献

{"title":"Associations between antenatal depressive symptoms in different trimesters and perinatal outcomes: A prospective multicenter cohort study in China","authors":"","doi":"10.1016/j.ajp.2024.104165","DOIUrl":"10.1016/j.ajp.2024.104165","url":null,"abstract":"<div><h3>Background</h3><p>Evidence exists that maternal antenatal depression may have adverse impacts on perinatal outcomes. However, the results of those studies are inconsistent and mainly focus on maternal depressive symptoms in the second or third trimester.</p></div><div><h3>Methods</h3><p>This prospective cohort study used a sub-sample of participants from the Sino-Canadian Healthy Life Trajectories Initiative trial. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for depressive symptoms in the first, second, and third trimesters, respectively. Infant growth indicator measurements were conducted in the first year of life. Logistic regression, Spearman correlation analyses and Generalized estimation equation (GEE) models were used to test the hypotheses.</p></div><div><h3>Results</h3><p>2053 participants were recruited in this study, 326 of whom had at least one EPDS score ≥ 10 during pregnancy. A higher EPDS score in the first (aOR=1.053, 95 % CI: 1.004–1.103) or in the second trimester (aOR=1.060, 95 % CI: 1.007–1.115) was associated with greater risk of macrosomia. A higher EPDS score in the third trimester was associated with higher risks of preterm birth (aOR=1.079, 95 % CI: 1.006–1.157) and the infant being small for gestational age (aOR=1.097, 95 % CI: 1.015–1.185). GEE models showed that a greater EPDS score in the third trimester was associated with higher infant subscapular skinfold thickness (adjusted β=0.026, 95 % CI: 0.003–0.050).</p></div><div><h3>Conclusion</h3><p>Maternal depressive symptoms in different trimesters were differentially associated with infant weight and growth parameters at birth and postnatally. The present study further highlights the importance of depression screening in all trimesters of pregnancy, including the first trimester.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141911562","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":"Differential manifestations of anhedonia in people with social anhedonia and subsyndromal depression","authors":"","doi":"10.1016/j.ajp.2024.104188","DOIUrl":"10.1016/j.ajp.2024.104188","url":null,"abstract":"<div><p>Empirical findings suggested that anhedonia, a reduced capability to access pleasure and a core symptom in both schizophrenia and the major depressive disorder, can be present in people with high levels of social anhedonia and people with subsyndromal depression. Few studies have adopted a multidimensional framework to investigate anhedonia in these subclinical samples. We recruited 35 participants with high social anhedonia (SA), 53 participants with subsyndromal depression (SD), 20 participants with co-occurrence of both traits (CO), and 47 participants with low levels of both traits (CN) to complete a self-report questionnaire capturing the pleasure experience, and the Monetary Incentives Delay (MID) Task and the Social Incentives Delay (SID) Task capturing the motivation of reward. Results indicated that people with SA, SD and CO exhibited lower abstract anticipatory pleasure compared to CN. Moreover, people with SD and CO exhibited specific impairment in response to social incentives. Together, our findings characterized the multidimensional features of anhedonia performances of subclinical samples with SA, SD and CO, which may contribute to the formulation of early identification of at-risk groups.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141874016","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 adolescent depression and adult suicidal behavior: A systematic review and meta-analysis","authors":"","doi":"10.1016/j.ajp.2024.104185","DOIUrl":"10.1016/j.ajp.2024.104185","url":null,"abstract":"<div><p>This meta-analysis aims to estimate the association between adolescent depression and adult suicidal behavior, while systematically evaluating gender differences reported in literature. A random-effects model was used to determine the pooled association, reporting odds ratios (ORs) with corresponding 95 % confidence intervals (CIs). Nine articles comprising over 6084 adolescents together showed that people with a history of depression in adolescence are more likely to gain suicidal behaviors during adulthood (OR = 3.97, 95 % Cl: 2.79, 5.63). Sex-specific analysis indicated that males who experienced depression in adolescence developed a higher incidence of suicidal behavior in adulthood compared to females with a similar history (Males: OR = 3.61, 95 % Cl: 1.02, 12.78; Females: OR = 3.56, 95 % Cl: 1.71, 7.43). Furthermore, suicide attempts emerged as the predominant outcome among various suicidal behaviors (OR = 3.43, 95 % Cl: 1.75, 6.71). This meta-analysis provides robust evidence that depression in adolescence significantly increases the risk of suicidal behavior in adulthood.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141896647","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":"Impact of telehealth implementation on no-show rates in mental health psychology outpatient services in Qatar: A comparative analysis","authors":"","doi":"10.1016/j.ajp.2024.104187","DOIUrl":"10.1016/j.ajp.2024.104187","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141874017","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":"Anticipating influential factors on suicide outcomes through machine learning techniques: Insights from a suicide registration program in western Iran","authors":"","doi":"10.1016/j.ajp.2024.104183","DOIUrl":"10.1016/j.ajp.2024.104183","url":null,"abstract":"<div><p>Suicide is a global public health concern, with increasing rates observed in various regions, including Iran. This study focuses on the province of Hamadan, Iran, where suicide rates have been on the rise. The research aims to predict factors influencing suicide outcomes by leveraging machine learning techniques on the Hamadan Suicide Registry Program data collected from 2016 to 2017. The study employs Naïve Bayes and Random Forest algorithms, comparing their performance to logistic regression. Results highlight the superiority of the Random Forest model. Based on the variable importance and multiple logistic regression analyses, the most important determinants of suicide outcomes were identified as suicide method, age, and timing of attempts, income, and motivation. The findings emphasize the cultural context's impact on suicide methods and underscore the importance of tailoring prevention programs to address specific risk factors, especially for older individuals. This study contributes valuable insights for suicide prevention efforts in the region, advocating for context-specific interventions and further research to refine predictive models and develop targeted prevention strategies.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141854634","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":"Cost-related medication nonadherence among US adults with severe mental disorder, 2011–2018: A nationally cross-sectional study","authors":"","doi":"10.1016/j.ajp.2024.104186","DOIUrl":"10.1016/j.ajp.2024.104186","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846296","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":"Ketamine-dependent patients with persistent psychosis have higher neurofilament light chain levels than patients with schizophrenia","authors":"","doi":"10.1016/j.ajp.2024.104167","DOIUrl":"10.1016/j.ajp.2024.104167","url":null,"abstract":"<div><h3>Objectives</h3><p>Ketamine can induce persisting psychosis in a subset of individuals who use it chronically and heavily. Previously, we found that the psychopathology and cognitive impairments in patients with ketamine dependence (KD) exhibiting persistent psychosis (KPP) bear resemblances with schizophrenia, albeit with less severity in those with no persistent psychosis (KNP). Furthermore, we also showed that patients with KD had higher blood levels of neurofilament light chain (NFL), a biomarker for neuroaxonal injury, compared to healthy controls. In this study, we aimed to investigate the differences in NFL levels between patients with KPP and KNP while comparing the levels of individuals with schizophrenia and healthy controls.</p></div><div><h3>Methods</h3><p>We enrolled 64 treatment-seeking ketamine-dependent patients (53 with KNP and 11 with KPP), 37 medication-free patients with schizophrenia, and 80 healthy controls. Blood NFL levels were measured by single molecule array immunoassay.</p></div><div><h3>Results</h3><p>NFL levels were highest in the KPP subgroup, followed by the KNP subgroup, and then the schizophrenia and control groups (mean ± SD: 24.5 ± 24.7, 12.9 ± 10.9, 9.2 ± 12.2, and 6.2 ± 2.2 pg/mL, respectively), with no significant difference observed between the schizophrenia and control groups.</p></div><div><h3>Conclusions</h3><p>We found that KD is associated with higher NFL levels compared to schizophrenia, with the KPP subgroup showing the most consistent alterations. The observation of accentuated neuroaxonal pathology in individuals with KPP implies that this clinical manifestation is associated with a specific neurobiological phenotype, despite prior evidence suggesting syndromal similarity between schizophrenia and KPP.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848058","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":"Indonesian patient health questionnaire's clinical utility in psychiatric outpatients: Ruling out conditions per ICD-11 criteria","authors":"","doi":"10.1016/j.ajp.2024.104184","DOIUrl":"10.1016/j.ajp.2024.104184","url":null,"abstract":"<div><p>This study aimed to assess the diagnostic accuracy of the Patient Health Questionnaire (PHQ) for identifying common mental disorders in an outpatient clinical psychologist office setting in Indonesia. A total of 661 outpatients from a clinical psychology office in Jakarta, Indonesia, participated in the study. The complete PHQ was administered, and its results were compared with diagnoses made by clinical psychologists based on ICD-11 criteria, including somatoform disorder (n = 6), depression (n = 117), Generalized Anxiety Disorder (GAD, n = 50), panic disorder (n = 42), bulimia nervosa (n = 2), binge eating disorder (n = 2), and other diagnoses such as OCD and BPD (n = 442). Receiver operating characteristics were computed to examine cut-off points, and optimal cut-off points based on the Youden Index were identified for somatoform disorder (PHQ-15 ≥ 13), depression (PHQ-9 ≥ 13), GAD (GAD- 7 ≥ 10), and panic disorder (PHQ-PD ≥ 7). Cut-off points for the alcohol abuse and eating disorder modules of the PHQ could not be determined due to a lack of sample, and AUC was suboptimal for PHQ-9, GAD-7, and PHQ-ED. The Indonesian PHQ demonstrated good sensitivity but low specificity in identifying somatoform disorder, depression, GAD, and panic disorders based on ICD-11 criteria among Indonesian clinical psychologist office outpatients. In the Indonesian outpatient psychiatric context, the utility of the Indonesian PHQ appeared to be most effective in ruling out diagnoses.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847437","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":"National trends of suicidality 1999–2020 among Asian American Pacific Islander young adults across sex","authors":"","doi":"10.1016/j.ajp.2024.104180","DOIUrl":"10.1016/j.ajp.2024.104180","url":null,"abstract":"<div><p>This study analyzes 21 years of suicide trend among Asian American Pacific Islander (AAPI) young adults aged 18–25. Analyzing NCHS data (1999–2020) through the Joinpoint Regression, we examined temporal trends of suicide death across sexes and identified trend shifts. Findings indicate a significant and steady increasing trend in AAPI female suicides from 1999 to 2020. Alarmingly, AAPI males displayed a significant and sharp increasing trend of suicide from 2008 onwards. It is important to consider other risk factors of suicide, including cultural factors and gendered racial experiences, to understand the context of AAPI young adults’ suicide patterns.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141787155","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":"Diagnostic accuracy of large language models in psychiatry","authors":"","doi":"10.1016/j.ajp.2024.104168","DOIUrl":"10.1016/j.ajp.2024.104168","url":null,"abstract":"<div><h3>Introduction</h3><p>Medical decision-making is crucial for effective treatment, especially in psychiatry where diagnosis often relies on subjective patient reports and a lack of high-specificity symptoms. Artificial intelligence (AI), particularly Large Language Models (LLMs) like GPT, has emerged as a promising tool to enhance diagnostic accuracy in psychiatry. This comparative study explores the diagnostic capabilities of several AI models, including Aya, GPT-3.5, GPT-4, GPT-3.5 clinical assistant (CA), Nemotron, and Nemotron CA, using clinical cases from the DSM-5.</p></div><div><h3>Methods</h3><p>We curated 20 clinical cases from the DSM-5 Clinical Cases book, covering a wide range of psychiatric diagnoses. Four advanced AI models (GPT-3.5 Turbo, GPT-4, Aya, Nemotron) were tested using prompts to elicit detailed diagnoses and reasoning. The models' performances were evaluated based on accuracy and quality of reasoning, with additional analysis using the Retrieval Augmented Generation (RAG) methodology for models accessing the DSM-5 text.</p></div><div><h3>Results</h3><p>The AI models showed varied diagnostic accuracy, with GPT-3.5 and GPT-4 performing notably better than Aya and Nemotron in terms of both accuracy and reasoning quality. While models struggled with specific disorders such as cyclothymic and disruptive mood dysregulation disorders, others excelled, particularly in diagnosing psychotic and bipolar disorders. Statistical analysis highlighted significant differences in accuracy and reasoning, emphasizing the superiority of the GPT models.</p></div><div><h3>Discussion</h3><p>The application of AI in psychiatry offers potential improvements in diagnostic accuracy. The superior performance of the GPT models can be attributed to their advanced natural language processing capabilities and extensive training on diverse text data, enabling more effective interpretation of psychiatric language. However, models like Aya and Nemotron showed limitations in reasoning, indicating a need for further refinement in their training and application.</p></div><div><h3>Conclusion</h3><p>AI holds significant promise for enhancing psychiatric diagnostics, with certain models demonstrating high potential in interpreting complex clinical descriptions accurately. Future research should focus on expanding the dataset and integrating multimodal data to further enhance the diagnostic capabilities of AI in psychiatry.</p></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841196","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}