Alpha psychiatry最新文献

{"title":"Efficacy of Transcranial Alternating Current Stimulation for Major Depressive Disorder and the Role of Intensity: A Systematic Review and Exploratory Meta-Analysis.","authors":"Li Qi, Yue Yu, Xiaomin Pan, Jin Li, Zhishun Gao, Ting Zhang, Wenjia Wang, Kai Wang, Qianqian Li, Tongjian Bai","doi":"10.31083/AP47383","DOIUrl":"10.31083/AP47383","url":null,"abstract":"<p><strong>Background: </strong>Current treatments for major depressive disorder (MDD) are limited by efficacy and adverse effects. Transcranial alternating current stimulation (tACS) has emerged as a promising alternative. However, there is still a lack of systematic evaluation of its effectiveness. Recent studies suggest that currents greater than 7 milliamperes (mA) may be necessary to significantly alter potentials in deep brain regions associated with depression. We conducted a systematic review and exploratory meta-analysis to assess the overall efficacy and safety of tACS for MDD and to explore potential associations regarding current intensity by comparing high-intensity tACS (HI-tACS) and low-intensity tACS (LI-tACS) protocols.</p><p><strong>Methods: </strong>A systematic search of Embase, PubMed, Web of Science, the Cochrane Library, ClinicalTrials.gov, and WHO ICTRP was conducted from inception to January 5, 2026. Data were analyzed using a random-effects model, assessing changes in depressive scale scores, response and remission rates, discontinuation, and adverse events.</p><p><strong>Results: </strong>Randomized controlled trials with 438 participants were included. Compared to sham stimulation, active tACS was associated with a significant reduction in depressive symptoms (moderate effect size). In an exploratory subgroup analysis, HI-tACS was associated with a larger effect size (large effect) than LI-tACS (small effect), with lower heterogeneity observed within subgroups. The HI-tACS group also showed significantly higher response and remission rates. No significant differences in adverse events or treatment discontinuations were observed between the two subgroups.</p><p><strong>Conclusions: </strong>Our results suggest that tACS may be a potentially effective treatment for MDD. Data from exploratory subgroup analyses provide preliminary, hypothesis-generating evidence that higher intensity may be associated with improved outcomes. However, given the limited evidence base and substantial heterogeneity, as well as the fact that intensity co-varied with stimulation frequency and other parameters in the included trials, these findings do not establish a sole causal link for intensity. Future large-scale, controlled, multi-arm trials are needed to disentangle these factors and confirm these preliminary observations.</p><p><strong>The prospero registration: </strong>The study has been registered on https://www.crd.york.ac.uk/prospero/ (registration number: CRD42024589889; registration link: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024589889).</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 4","pages":"47383"},"PeriodicalIF":2.9,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540047/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148889762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disentangling Anhedonia and Self-Stigma in Schizophrenia Using Bayesian Network Analysis.","authors":"Jiabao Chai, Dayun Jiang, Hanxue Yang, Lin Liu, Fuquan Liu, Weigang Pan, Xiaohong Li","doi":"10.31083/AP50731","DOIUrl":"10.31083/AP50731","url":null,"abstract":"<p><strong>Background: </strong>The interrelationships among the negative symptoms of schizophrenia and factors affecting quality of life remain unclear. To address this gap, the present study explores the complex interrelationships among anhedonia, self-stigma, self-esteem, psychological resilience, and social support in individuals with schizophrenia.</p><p><strong>Methods: </strong>A comprehensive battery of measures was used to assess 447 patients with schizophrenia. Undirected network analysis was employed to examine the centrality of various factors, and Bayesian network analysis was used to explore the indirect influence of upstream variables on anhedonia through psychological factors.</p><p><strong>Results: </strong>Self-stigma was identified as the most central factor. Among the subdimensions of anhedonia, abstract anticipatory pleasure and contextual consummatory pleasure demonstrated the highest centrality. Negative symptoms of schizophrenia and social support were found to indirectly influence different aspects of anhedonia through psychological factors such as self-esteem and resilience. In one of the identified pathways, social support influenced psychological resilience, which in turn affected abstract anticipatory pleasure, contextual consummatory pleasure, and contextual anticipatory pleasure.</p><p><strong>Conclusions: </strong>Our findings suggest that social support is associated with pleasure experiences partly through psychological resilience and underscore the potential mediating role of psychological factors in linking clinical symptoms, social resources, and hedonic capacity in schizophrenia.</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 4","pages":"50731"},"PeriodicalIF":2.9,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13540050/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148889723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Executive Function Deficit and Medial Temporal Lobe Atrophy in Late-Life Depression: Pathophysiological and Therapeutic Implications.","authors":"Qianqian Zhang, Chaomeng Liu, Qinge Zhang","doi":"10.31083/AP51117","DOIUrl":"10.31083/AP51117","url":null,"abstract":"","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 4","pages":"51117"},"PeriodicalIF":2.9,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13539990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148889244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Interference Stimulation Targeting the Right Amygdala in Adolescents With Depression: A Pilot Feasibility Study.","authors":"Fang Wang, Minjia Liu, Hengfen Gong, Shupei Zhou, Fan Wu, Qi Zhang, Lulu Zhang, Na Zhu, Simeng Zhang, Tian Liu, Wei Lu, Jingjing Huang","doi":"10.31083/AP50313","DOIUrl":"10.31083/AP50313","url":null,"abstract":"<p><strong>Background: </strong>Adolescent depression necessitates the development of novel therapeutic approaches. Temporal interference stimulation (TIS) is a promising noninvasive neuromodulation technique capable of modulating deep-brain circuits; however, its feasibility in adolescent populations has not yet been established. This open-label pilot study evaluated the feasibility, safety, and tolerability of a five-day TIS protocol targeting the right amygdala in adolescents with depression. Clinical outcomes and neuroimaging findings were assessed as exploratory, hypothesis-generating objectives.</p><p><strong>Methods: </strong>Twelve adolescents with depression received five consecutive daily sessions of TIS (2000 Hz carrier frequency with a 100 Hz difference frequency; 20 min/day) targeting the right amygdala. Feasibility was evaluated on the basis of tolerability and adherence rates. Clinical outcomes were assessed using the 17-item Hamilton Depression Rating Scale (HAMD-17), Montgomery-Åsberg Depression Rating Scale (MADRS), 14-item Hamilton Anxiety Rating Scale (HAMA-14), and the THINC-integrated tool (THINC-it) at baseline, post-treatment, and at one-week and four-week follow-up assessments. Exploratory resting-state functional magnetic resonance imaging (fMRI) was performed to investigate neuromodulatory effects.</p><p><strong>Results: </strong>Nine participants completed the study, corresponding to a completion rate of 75%, with a tolerability rate of 100%. No device-related adverse events were reported. Trends toward improvement were observed in depressive symptoms, anxiety symptoms, and subjective cognitive functioning. From baseline to post-treatment, HAMD-17 and HAMA-14 scores decreased by 52.0% and 56.7%, respectively, and these improvements were maintained at the four-week follow-up, with a 53.3% reduction in depression severity. Exploratory fMRI analyses demonstrated acute increases in functional connectivity between the right amygdala and sensorimotor cortical regions during the first stimulation session.</p><p><strong>Conclusions: </strong>A five-day course of right amygdala-targeted TIS was feasible, safe, and well tolerated in adolescents with depression. The observed improvements in depressive and anxiety symptoms, together with acute alterations in amygdala-cortical functional connectivity, provide hypothesis-generating signals that warrant further investigation in rigorously designed sham-controlled trials. However, given the open-label and uncontrolled nature of the study, these improvements cannot be causally attributed to the intervention.</p><p><strong>Clinical trial registration: </strong>The study has been registered on https://clinicaltrials.gov/ (registration number: No: NCT06452849; registration link: https://clinicaltrials.gov/study/NCT06452849).</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 4","pages":"50313"},"PeriodicalIF":2.9,"publicationDate":"2026-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13539988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148889378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic Differentiation Between Unipolar and Bipolar Depression: A Machine Learning Analysis of Demographic and Clinical Features.","authors":"Lishan Ren, Youdan Wei, Mingjian Cai, Mingfen Song, Kaiyuan Zhang, Zhenghe Yu, Hongjing Mao, Wenjuan Liu","doi":"10.31083/AP47274","DOIUrl":"10.31083/AP47274","url":null,"abstract":"<p><strong>Background: </strong>Differentiating between bipolar depression (BD) and unipolar depression (UD) presents a significant clinical challenge. Identifying the potential clinical features that distinguish between these two disorders is essential for optimizing personalized management strategies for individuals with depression. In this study, we employed machine learning to develop a classification model to distinguish between BD and UD based on demographic and clinical features.</p><p><strong>Methods: </strong>Patients with either BD or UD were included in this study. Three machine learning classifiers, including logistic regression (LR), random forest (RF), and support vector machine (SVM) were developed and compared using a dual evaluation strategy: (i) nested stratified cross-validation (5-fold outer, 3-fold inner) for unbiased model comparison; and (ii) an independent stratified hold-out split for final validation. In the latter phase, hyperparameters were optimized on the training set via grid search, with performance reported on the test set using bootstrapped 95% confidence intervals. Shapley Additive Explanations (SHAP) analysis was applied to the optimal model to elucidate feature importance.</p><p><strong>Results: </strong>A total of 449 patients (239 UD and 210 BD) were included. All three models achieved a consistent area under the receiver operating characteristic curve (ROC-AUC) of approximately 0.78, indicating moderate discriminative capacity, with the RF model demonstrating a more balanced error distribution. The top six predictive features were: family history, age, sleep disturbance (Patient Health Questionnaire-9 [PHQ9] item 3), fatigue (PHQ9 item 4), use of sleep medication (Pittsburgh Sleep Quality Index [PSQI] item 6), and suicidal ideation (PHQ9 item 9). The SHAP analysis suggested that younger age, \"uncertain/unknown\" family history, and the use of sleep medication tended to push predictions toward BD, whereas suicidal ideation, sleep disturbance, and fatigue tended to push predictions toward UD.</p><p><strong>Conclusions: </strong>Our machine learning approach identified key predictors-including age, family history, and sleep-related symptoms-to differentiate UD from BD in adolescent and young adult patients. Although achieving moderate accuracy, the model may serve as a supportive screening tool to enhance clinical decision-making.</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 3","pages":"47274"},"PeriodicalIF":2.9,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13339793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Phenotyping of High-Risk Gaming Behavior Using Wearable Devices.","authors":"Yijie Song, Yawen Shi, Yiqun Tu, Haidi Shan, Chuanning Huang, Yue Wang, Shuo Li, Zhekai Li, Hang Su, Na Zhong, Tianzhen Chen, Min Zhao, Jiang Du","doi":"10.31083/AP48256","DOIUrl":"10.31083/AP48256","url":null,"abstract":"<p><strong>Background: </strong>Gaming addiction is a serious mental health issue. Early identification of high-risk gaming behaviors (HRGB) is crucial for prevention, yet research using wearable data for detection remains limited. This study analyzed the temporal dynamics of gaming behavior and health indicators using 28-day summary statistics derived from longitudinal data in young adults with HRGB, thereby providing a basis for gaming disorder prevention and intervention.</p><p><strong>Methods: </strong>This 28-day longitudinal study employed a self-designed system implemented on the Huawei Research Platform for participant recruitment and data collection. Participants completed daily mobile app questionnaires between 18:00 and 23:00 assessing gaming time, mood, and sleep, while a smart band continuously collected physiological and activity data. Emotional states were assessed weekly using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7. Machine learning models were applied to compare the predictive performance of active (self-report), passive (wearable), and combined data in identifying HRGB, and to determine key predictive factors relevant for intervention.</p><p><strong>Results: </strong>The final sample comprised 37 participants in the HRGB group and 23 in the non-HRGB group. Significant between-group differences were observed across multiple indicators. Combined data yielded the highest area under the receiver operating characteristic curve (AUROC) in five of six models (logistic regression: 0.86 vs 0.81). Wearable-derived data enhanced early classification of HRGB, with depression severity (PHQ-9), heart rate, and sleep metrics emerging as potential markers. A one-standard-deviation increase in PHQ-9 scores was associated with a 3.51-point increase in Gaming Disorder Screening Scale (GDSS) scores (89% credible interval [CrI], 1.85-5.20), while a higher heart rate index was associated with a 1.36-point increase in GDSS scores (89% CrI, 0.13-2.60). The population attributable fraction was 15.51% for PHQ-9.</p><p><strong>Conclusions: </strong>Wearable data enhances early HRGB classification. PHQ-9, heart rate, and sleep metrics are key predictors, showing clinical utility.</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 3","pages":"48256"},"PeriodicalIF":2.9,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13339874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expert Consensus on the Use of Lurasidone for Bipolar I Depression in Asian Patients.","authors":"Ahmad Hatim Sulaiman, Mo-Ching Eileena Chui, Ronnachai Kongsakon, Jen-Chin Lee, Chien-Heng Lin, Beng Yeong Ng, Marcus Wee Lun Tan, Joe Hang Ting, Meor Hakimi Meor Idris","doi":"10.31083/AP49358","DOIUrl":"10.31083/AP49358","url":null,"abstract":"<p><p>​​Eight psychiatrists from Malaysia, Singapore, Taiwan, Hong Kong, and Thailand participated in three meetings using the RAND Corporation/University of California Los Angeles (RAND/UCLA) appropriateness method to establish expert consensus on the use of lurasidone for bipolar I depression in Asian patients. The first meeting generated clinical questions and statements for voting, the second refined these statements, and the third addressed disagreements or areas of uncertainty. Consensus was defined as ≥66% agreement that a statement was appropriate or extremely appropriate. Nearly all proposed statements achieved consensus, including the use of lurasidone as a first-line treatment for first-episode bipolar I depression in adults, with a starting dose of 20 mg/day and titration up to 120 mg/day as needed, as well as its use as adjunctive therapy with mood stabilizers. For elderly patients, a lower dose range of 20-80 mg/day was recommended, while for children and adolescents, a dose range of 20-80 mg/day with careful monitoring was suggested. Lurasidone was considered to have a lower risk of inducing mania or hypomania compared with placebo, conventional antidepressants, and certain antipsychotics, and was associated with a favorable cardiometabolic profile and generally manageable side effects, including nausea, akathisia, and somnolence. Caution was advised when prescribing lurasidone during pregnancy, particularly in the first trimester. This expert consensus provides practical guidance for the use of lurasidone in the treatment of bipolar I depression in Asian patients, complementing existing treatment guidelines and addressing dosing strategies, side effect management, and use in special populations.</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 3","pages":"49358"},"PeriodicalIF":2.9,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13339877/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148407055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subjective-Device-Estimated Sleep Discrepancies in Late-Life Depression: Agreement and Associated Factors.","authors":"Qianlong Wang, Yuandong Gong, Jiacui Ji, Yan Zhang, Meixu Lu, Meiyu Song, Xia Zhang, Yuping Zhao, Qi Miao","doi":"10.31083/AP50350","DOIUrl":"10.31083/AP50350","url":null,"abstract":"<p><strong>Background: </strong>This study examined the agreement between subjective sleep assessments and device-estimated sleep parameters in patients with late-life depression, and explored potential factors associated with the discrepancies between the two measures.</p><p><strong>Methods: </strong>This cross-sectional study enrolled 94 patients with late-life depression. Device-estimated sleep parameters were obtained via portable sleep respiratory monitoring. Participants also reported the previous night's total sleep time (TST), sleeponset latency (SOL), and sleep efficiency (SE) using a self-designed form. Agreement between subjective and device-estimated measures was evaluated with Bland-Altman analysis. Multivariate regression was conducted to identify factors associated with subjective-device-estimated sleep discrepancies.</p><p><strong>Results: </strong>Compared with device-estimated measures, subjective reports differed significantly across all three sleep parameters (Wilcoxon signed-rank test: TST, <i>Z</i> = -6.94, <i>p</i> < 0.001; SOL, <i>Z</i> = -2.98, <i>p</i> = 0.003; SE, <i>Z</i> = -5.02, <i>p</i> < 0.001). These results indicate a pronounced subjective-device-estimated sleep discrepancy in late-life depression, with subjective underestimation of TST and SE and overestimation of SOL. Greater depressive symptom severity was associated with greater subjective underestimation of TST (<i>p</i> = 0.037), whereas later age at first onset was associated with greater subjective underestimation of SE (<i>p</i> = 0.013). The association between age at first onset and subjective overestimation of SOL observed in the main analysis (<i>p</i> = 0.047) was no longer significant after additional inclusion of sex in the model (<i>p</i> = 0.054).</p><p><strong>Conclusions: </strong>Patients with late-life depression exhibited subjective-device-estimated discrepancies in sleep parameters. Heavier depressive symptom burden was linked to greater underestimation of total sleep time, while later age at first onset was more closely related to underestimation of sleep efficiency. A later age at first onset showed a trend toward an association with overestimation of sleep onset latency, but this finding still requires further validation. In clinical practice, combining device-estimated sleep monitoring with subjective sleep assessment should be considered in order to obtain a more comprehensive understanding of patients' sleep status.</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 3","pages":"50350"},"PeriodicalIF":2.9,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13339800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148407166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transdiagnostic Assessment of Mental Health and Sleep Registry: Protocol for a Cross-Sectional Study.","authors":"Azusa Ishii, Kei Muroi, Hiroku Noma, Makoto Nishimura, Shio Maeda, Kaichiro Furutani, Minori Machida, Sumin Lee, Hitomi Oi, Mayu Koike, Aiko Eto, Hui Huang, Shun Nakajima","doi":"10.31083/AP51115","DOIUrl":"10.31083/AP51115","url":null,"abstract":"<p><strong>Background: </strong>Mental disorders impose a substantial burden on individuals and society that cannot be fully captured by diagnostic labels or clinial indicators alone. Accordingly, the need for approaches that comprehensively assess patients' subjective experiences and daily functioning is growing. Patient-reported outcomes (PROs) enable multidimensional assessment from the patient's perspective and are increasingly important in mental health research. However, prior studies have frequently assessed these domains in isolation using different instruments and assessment schedules, limiting individual-level integration and cross-study comparability. The focus on single diagnostic groups has further impeded transdiagnostic understanding, and the lack of harmonized data standards has restricted data sharing and reuse. This study protocol describes the establishment of the Transdiagnostic Assessment of Mental Health and Sleep (TAMS) registry, a multidimensional PROs registry designed to enable transdiagnostic comparisons across individuals with mental disorders and physical conditions, as well as healthy participants.</p><p><strong>Methods and analysis: </strong>We will conduct a nationwide registry-based cross-sectional study in Japan. Participants will include adults with mental disorders, those with physical conditions, and healthy participants, recruited through an online survey company. After providing electronic consent, all participants will complete an online survey providing information on demographics, diagnoses, and treatment. The registry will also capture information on Quality of Life (QOL) as well as related psychosocial factors, psychiatric symptoms, sleep characteristics, and attitudes toward digital health technology. Data collection is planned for March 2026, with a target enrollment of 3300 participants. Planned analyses will validate patient-reported instruments and characterize how these variables are related to QOL.</p><p><strong>Ethics and dissemination: </strong>This study has received ethical approval (ID R07-137) and will be conducted in accordance with national information security guidelines, with voluntary participation, digital informed consent, and findings will be disseminated through peer-reviewed publications and plain-language summaries. The registry will be released as a publicly accessible dataset in accordance with the data-sharing guidelines of the FAIR principles (Findable, Accessible, Interoperable, and Reusable).</p><p><strong>Clinical trial registration: </strong>The study has been registered on https://jrct.mhlw.go.jp/ (registration number: jRCT1030250737; registration link: https://jrct.mhlw.go.jp/latest-detail/jRCT1030250737).</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 3","pages":"51115"},"PeriodicalIF":2.9,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13339798/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148407124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Adverse Childhood Experiences With Health-Related Quality of Life and Quality-Adjusted Life-Years Among Adolescents in the United Kingdom: Findings From Two General Population Cohorts.","authors":"Amarech Obse, Kamaldeep Bhui, Laura Havers, Sania Shakoor, Georgina Hosang, Siobhan Hugh-Jones, Minhua Ma, Anna Mankee-Williams, Alexis Karamanos, Seeromanie Harding, Paul McCrone","doi":"10.31083/AP49284","DOIUrl":"10.31083/AP49284","url":null,"abstract":"<p><strong>Background: </strong>Evidence on the impact of adverse childhood experiences (ACEs) on multidimensional wellbeing, including health-related quality of life (HRQoL) and quality-adjusted life-years (QALYs), remains inadequate, particularly among young people. This study examines how ACEs and their interactions with sex, ethnicity, and socioeconomic status (SES) are associated with HRQoL and QALYs in United Kingdom (UK) adolescents.</p><p><strong>Methods: </strong>Baseline and follow-up data from the Determinants of Adolescent Social Well-being and Health (DASH) Study (N = 6648) and HeadStart Cornwall (HeadStart) (N = 4575) were used. ACE data were sourced from self-reports and official records and measured as binary and count variables. The Strengths and Difficulties Questionnaire (SDQ) was mapped to the Child Health Utility 9D (CHU9D) to calculate utility values for QALY estimation.</p><p><strong>Results: </strong>Over the 3- and 2-year follow-up periods, mean accumulated QALYs were 2.30 (standard error [SE]: 0.002) (DASH) and 1.45 (SE: 0.004) (HeadStart). The occurrence of any ACEs, self-reported and officially recorded, respectively, reduced QALYs by 0.064 (SE: 0.021) (DASH) and 0.060 (SE: 0.021) (HeadStart). These translate to losses of 23 (DASH) and 22 (HeadStart) days over the follow-up period. A greater count of ACEs was associated with stronger effects. Dose-dependent interactions were significant only for ACEs-ethnicity and ACEs-sex (≥2 ACEs), with White adolescents and females experiencing greater QALY losses as the number of ACEs increased.</p><p><strong>Conclusions: </strong>ACEs, whether self-reported or officially recorded, were associated with greater QALY losses, with the strength of association increasing as the number of ACEs increased. Furthermore, White and female adolescents exposed to a greater number of ACEs had the highest QALY losses. Further studies are needed to investigate the moderation of these associations and the mechanisms underlying the associations between ACEs and HRQoL/QALYs to inform targeted interventions.</p>","PeriodicalId":72151,"journal":{"name":"Alpha psychiatry","volume":"27 3","pages":"49284"},"PeriodicalIF":2.9,"publicationDate":"2026-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13339791/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}