Psychiatry Research

Aim: The Patient Safety Screener-3 (PSS-3) is a brief suicide-risk screening tool. Item 1 of this scale assesses depressive mood but is not included in the total score. We examined the association of item 1 with depressive symptom severity and characterized the suicide-related risk captured by PSS-3 total positivity. Methods: We conducted a nationwide cross-sectional survey among resident physicians in Japan. Associations between PSS-3 item 1 endorsement and Patient Health Questionnaire-9 (PHQ-9) scores were evaluated using the Wilcoxon rank-sum test. Diagnostic performance of item 1 was evaluated using PHQ-9 positivity ([&ge;]10) as reference standard. We also compared Short-form Scale for Suicide Ideation (SIS-6) scores according to PSS-3 total positivity and PHQ-9 item 9 positivity. Results: A total of 1,844 participants were included. PSS-3 item 1 was endorsed by 443 physicians (24.0%), and 47 (2.5%) met the criteria for PSS-3 total positivity. Item 1 showed 79.3% sensitivity and 79.5% specificity for PHQ-9 positivity. SIS-6 scores were higher in the PSS-3 total-positive group than in the total-negative group (median [IQR], 6 [5-9] vs 0 [0-1]; p<0.001). The SIS-6 showed a higher area under the receiver operating characteristic curve (AUC) and Youden index using PSS-3 total positivity (AUC, 0.961; optimal cutoff, 3) than PHQ-9 item 9 positivity (AUC, 0.907; optimal cutoff, 2). Discussion: PSS-3 may support brief, simultaneous screening for depressive symptoms and suicide-related risk. Compared with PHQ-9 item 9, PSS-3 may capture a more severe spectrum of suicide-related risk. PSS-3 may facilitate identification of individuals requiring further mental health assessment.

Background Youth involved in child protection systems are at increased risk of psychiatric disorders and are overrepresented in inpatient mental health services. However, few studies have directly compared the clinical characteristics and mental health service use of youth across different child protection pathways. Objective To compare clinical characteristics, psychosocial risk factors, clinical complexity, and mental health service use among psychiatrically hospitalised youth in foster care, adoption, and child welfare supervision. Participants and Setting This retrospective observational study included 236 children and adolescents across three child protection pathways admitted to a Child and Adolescent Inpatient Psychiatry Unit between 2018 and 2024. Methods Clinical, psychosocial, and service-use data were extracted from medical records and compared using univariate analyses, multilevel mixed-effects models, logistic regression, and time-to-event analyses. Results All groups showed high comorbidity and clinical severity, but distinct clinical profiles emerged. Youth in foster care more frequently presented with externalising disorders, trauma exposure, and substance use; adopted youth showed higher rates of neurodevelopmental and prenatal adversity-related conditions; and youth under child welfare supervision more often presented with affective symptoms and suicidal ideation. Post-discharge emergency department re-consultation differed significantly between groups (p = 0.007) and was most frequent among adopted youth, who also had higher odds of psychiatric readmission. Youth in foster care had the shortest median time to emergency re-consultation, although time-to-event differences were not significant (p = 0.476). Conclusions Distinct clinical and service-use profiles across child protection pathways support trauma-informed, placement-sensitive mental health care and stronger coordination between child protection and mental health services.

Introduction: In 2020, Oregon became the first US state to legalize state-regulated psilocybin services. This study aims to examine: 1) the clinical and demographic characteristics, 2) psilocybin use motivations, and 3) differences in preparedness among patients seeking care in a Oregon- based pilot consult service specializing in psilocybin risk reduction. Methods: This retrospective chart review abstracted sociodemographics, trauma history, and medical and psychiatric risks of patients (November 2023 - September 2025). The Psychedelic Preparedness Scale (PPS), a validated self-report questionnaire, measured preparedness. Two sample t-tests examined associations of PPS scores by insurance, consult motivations, and prior psychedelic use. Results: Patients (N=29) had a mean age of 47.14 years (SD=15.9), were majority female (55.2%); White (82.8%); and privately insured (62.1%). Patients mostly sought psilocybin to address only a psychiatric concern (75.9%); 27.6% anticipated naturalistic (non-state regulated) use. Most patients were deemed low risk for adverse events. Prevalence of prior challenging psychedelic experiences (CPE) was 17.2%; 58.6% reported lifetime psilocybin use. 86.2% endorsed >1 form of lifetime trauma. Of PPS completers (N=23, 79%), mean score was 91.3 (SD = 23.99). Scores did not significantly differ by insurance; consultation motivation; CPE; prior psilocybin or psychedelic use. Conclusion: Patients utilizing a novel consultation service demonstrate a high prevalence of trauma, prior psilocybin use, and baseline preparedness. While preliminary, this is among the first descriptions of patients seeking medical and psychiatric consultation when considering psilocybin and highlight the potential role of healthcare systems in providing evidence-based patient education and risk reduction as interest in psychedelics grows.

Background The prevalence and pattern of secondary causes of first-onset psychosis (FEP) in Asian populations are understudied. Our objectives are to investigate the prevalence and pattern of secondary causes of FEP presenting in an acute medical setting in a metropolitan, Chinese-predominant population, and to investigate the prevalence and pattern of undiagnosed conditions presenting as psychosis. Method This is a retrospective observational study. We reviewed medical records of patients referred to the consultation psychiatry team at a tertiary acute teaching hospital in Hong Kong from January 2015 to Apr 2025. The inclusion criteria of the study are 1) age 18-64 at the time of the assessment, and 2) FEP confirmed by the consultation liaison team. Patients diagnosed with delirium were excluded. Result Among the 384 patients included in the study (mean age = 40.0 {+/-}13.7 years, 69% female), secondary causes of psychosis were found in 9.6% (n=37) of the cohort. Substance use is the most common secondary cause found (n=11, 2.9% of all FEPs) overall. Among those with secondary psychoses, patients' underlying conditions were revealed only by the workup in relation to the FEP in 16 of them, of which definitive or probable autoimmune encephalitis (n=5) and early-onset dementia (n=4) were the most common conditions uncovered. Conclusion The prevalence of secondary psychoses in our FEP cohort is lower than published international figures. Clinicians need to be aware of the suspicious clinical features suggestive of autoimmune encephalitis and early-onset dementia in FEP patients with otherwise unremarkable past history and toxicology test.

Background: COVID-19 has been associated with persistent neuropsychiatric symptoms after recovery, including sleep disturbance and depressive symptoms. Patients who required hospitalization may be particularly vulnerable to post-acute psychological complications. This study aimed to determine the prevalence of insomnia and its association with depression among patients who had recovered from COVID-19 after hospitalization. Methods: This analytical cross-sectional study was conducted in 2023 at Shahid Beheshti Hospital, Zanjan, Iran. A total of 70 patients who had been hospitalized with PCR-confirmed COVID-19 and had recovered for at least 6 months were included. Data were collected from medical records and telephone interviews. Insomnia severity was assessed using the Insomnia Severity Index. Descriptive statistics, univariable and multivariable linear regression were used to analyze factors associated with insomnia severity. Results: The mean ISI score was 8.06 + 6.57. Overall, 40.0% of participants had at least subthreshold insomnia, and 17.1% had moderate to severe clinical insomnia. 30.0% of participants had some degree of depressive symptoms. In univariable analysis, higher depression score and lower educational level were associated with greater insomnia severity. In the multivariable regression model, depressive symptom severity remained independently associated with insomnia severity; each one-point increase in BDI-II score was associated with a 0.50-point increase in ISI score (adjusted {beta} = 0.50; 95% CI: 0.34-0.66; p < 0.001). Conclusion: Insomnia and depressive symptoms were common among patients who had recovered from COVID-19 after hospitalization. Depressive symptom severity was independently associated with greater insomnia severity. Routine screening for sleep disturbance and depressive symptoms may be beneficial in post-COVID follow-up care, particularly among previously hospitalized patients.

Background: Adolescents frequently consult online resources regarding sensitive health topics, including suicide. Although content analyses demonstrate that online platforms contain both suicide-preventive and pro-suicide material, they rarely incorporate subjective data from adolescents at elevated suicide risk. Aims: This exploratory study examined associations between reasons for seeking suicide-related information online and the digital media used to access such content among adolescents with suicidal ideation. Method: Over one year, 131 adolescents aged 13 to 18 with current or past suicidal ideation were recruited from the Emergency Department of an urban pediatric hospital to complete a cross-sectional survey. Participants reported whether they had sought suicide-related information online, the type of information sought, and the online locations used. Mixed-effects regression models examined associations between reasons for online searches and digital media used. Results: Of 131 enrolled adolescents, 113 completed the survey; 69 (61.1%) reported ever seeking suicide-related information online. Searches were more often intended to assist with acting on suicidal thoughts than to reduce suicidal thoughts (63.7% vs. 55.1%). Social media were used for help-seeking searches slightly more often than professional health organization websites (42.1% vs. 31.6%). Among adolescents who used social media for their searches, discussion forums were significantly more likely to be used when seeking information to act on suicidal thoughts (OR=7.0, p=.02). Conclusion: The majority of adolescents with suicidal ideation may seek out suicide-related content online, particularly to facilitate suicide planning. Social media may be used as frequently as professional mental health websites like 988 or The Trevor Project for suicide-related searches.

Background Children of parents with schizophrenia (SZ) or bipolar disorder (BP) show elevated rates of mental disorders. Longitudinal studies comparing offspring at familial risk with the background population are lacking. Method This study is an eight-year follow-up of the Danish High Risk and Resilience study. We examined four-year prevalence from age 11 to age15 (n=416), cumulative incidence by age 15 (n=516), persistency of mental disorders from age 11to age 15 (n=396) and global functioning in 15-year-old adolescents with familial high risk of SZ (FHR-SZ) or BP (FHR-BP) compared to population-based controls (PBC). We assessed mental disorders and global functioning with the Kiddie Schedule for Affective Disorders and Schizophrenia - Present and Lifetime Version (K-SADS-PL) and the Childrens Global Assessment Scale (CGAS). Results Four-year prevalence of any mental disorder was higher in FHR-SZ (51.3%, OR=2.39, 95% CI 1.49-3.83) and FHR-BP (45.9%, OR=1.98, 95% CI 1.16-3.37) compared with PBC (30.5%). Cumulative incidence of mental disorders by age 15 was higher in FHR-SZ (67.2%, OR=3.19, 95% CI 2.11-4.82) and FHR-BP (64.4%, OR=2.82, 95% CI 1.75-4.54) than in PBC (39.1%). Adolescents with FHR-SZ showed the highest rate of persistent mental disorders (33.3%), followed by FHR-BP (24.5%), and PBC the lowest (12.9%). Global functioning at age 15 was lower in FHR-SZ than in both FHR-BP and PBC, and FHR-BP showed lower scores compared with PBC. Between-group differences in cumulative incidences of mental disorders and in global functioning scores remained stable across ages 7,11 and 15. Conclusion Adolescents at FHR-SZ or FHR-BP show elevated risks of a range of mental disorders, psychiatric comorbidity, and lower global functioning from childhood to mid-adolescence, not confined to the disorders for which they carry familial risk. This vulnerability underscores the need for early detection and support for FHR offspring and their families.

Background: In the age of TikTok, YouTube, and Netflix, video streaming (VS) is highly popular among adolescents. Yet, risky to addiction-like viewing patterns (i.e., problematic (P)VS) may adversely affect well-being. Prevalence estimates based on established criteria and etiological understanding of this phenomenon remain scarce. It is associated with de-pression, a major issue within the youth mental health crisis. However, causality remains unclear. This study investigated prevalence trends of adolescent PVS and its temporal rela-tionship with depression. Methods: Population-based data were drawn from four annual waves (2022-2025) of a rep-resentative online survey among 3,477 German adolescents (aged 10-17 years). Weighted annual PVS prevalence estimates were calculated based on standardized measures applying ICD-11 criteria of behavioural addictions distinguishing pathological from hazardous behav-ioural patterns. A cross-lagged panel analysis examined the reciprocal relationship between PVS and depression over four years. Results: Prevalence of pathological VS ranged between 2 to 4% across waves. Hazardous VS prevalence was 13-14% from 2022 to 2024, before increasing to 25% in 2025. Up to 81% of adolescents with pathological VS (21% with hazardous VS) showed clinically relevant symptoms of depression, versus 8-9% of non-affected adolescents. Depression significantly predicted PVS in two of three lags ({beta}W1-W2=0.233, {beta}W2-W3=0.155), but not vice versa. Conclusions: Prevalence rates and their divergent associations with depression support dis-tinguishing hazardous from pathological VS and underline the clinical relevance of PVS. Depression preceded PVS, pointing to the role of maladaptive coping. This has direct impli-cations for effective intervention measures. Future research should clarify the mechanisms underlying this relationship.

Background: Dissociative identity disorder (DID) is associated with frequent psychiatric comorbidity. Its complex and overlapping symptom profile can complicate recognition of both DID and co-occurring psychiatric conditions, contributing to diagnostic uncertainty. Evidence regarding psychiatric comorbidity is limited and prevalence estimates vary across studies. Aims: This meta-analysis aimed to examine the prevalence of psychiatric comorbidities in DID and factors associated with variation in prevalence estimates. Methods: Eligible studies were identified through PubMed, Scopus, Embase, PsycINFO, and MEDLINE from 1980 to 25 April 2026 (PROSPERO, no. CRD420261335819). Studies reporting psychiatric comorbidity in adults with DID were independently screened by two reviewers. Risk of bias was assessed. Random-effects meta-analyses using logit-transformed prevalence estimates were conducted. Meta-regressions examined moderators, whilst influence and sensitivity analyses assessed robustness. Certainty was evaluated using the GRADE approach. Results: Twenty-four studies (N = 858) contributed to the meta-analysis across 23 psychiatric comorbidities. Among individuals with DID, posttraumatic stress disorder had the highest pooled prevalence (87.44%, 95% CI 71.79-94.96), followed by major depressive disorder (62.64%, 95% CI 33.45-84.84), and borderline personality disorder (47.05%, 95% CI 34.21-60.32). Substantial heterogeneity was noted across most estimates. Meta-regressions identified significant associations with participant characteristics, recruitment, study quality, and diagnostic method. Risk of bias and certainty of evidence were heterogenous. Conclusions: Psychiatric comorbidity in DID is substantial and spans multiple diagnostic categories, although considerable heterogeneity and methodological variation limit confidence in prevalence estimates. Standardised diagnostic assessment, more representative sampling, and longitudinal research are needed to clarify the extent and clinical significance of comorbidity in DID.

Depression is one of the most prevalent mental health disorders globally. Social media content can reflect emotional states, offering real-time signals of depressive symptoms. This study aimed to develop a deep learning model to predict depression using Twitter/X data, and to characterize potential causes of depression using a large language model (LLM). Twitter/X posts from April 20, 2023, to July 24, 2024, were obtained using the key phrase ("I" or "me") and "diagnosed with depression". After data cleaning and GPT-4o labelling, 2,275 depressive Twitter users, and an additional 1,661 non-depressive users from tweets using the keyword "today", were identified. A deep learning RoBERTa model for predicting depression was built on tweets from both user groups, with an 80/20 training-testing split. GPT-4o models were subsequently employed to analyze depressive users posts to understand potential causes for depression. The RoBERTa model achieved strong performance in predicting depression among Twitter users from their tweets, with an accuracy of 0.822, an F1 score of 0.855, and an AUC of 0.809. Common reasons for depression identified by GPT-4o models included societal pressure, low self-esteem, cultural influences, and identity-related challenges. These findings highlight the potential of deep learning models in early screening of depression using social media data. Insights into potential reasons for depression may inform targeted prevention strategies, public health interventions, and improved mental health support for at-risk populations.

Non-suicidal self-injury (NSSI) is highly prevalent and exhibits substantial fluctuations among adolescents with mood disorders, yet the heterogeneity and differential treatment responses accompanied by such fluctuations remain unclear. The current study employed ecological momentary assessment (EMA) and latent profile analysis to identify latent subtypes of NSSI ideation via temporal features, and constructed machine-learning models to validate the predictive value of dynamic features for post-treatment self-injury risk. Thirty-five Chinese female adolescents with mood disorders and co-occurring NSSI (Mage = 14.4 years) receiving inpatient psychiatric treatment completed baseline assessments and 5 daily surveys of NSSI ideation throughout the course of treatment. Two subtypes were identified: the high-mean paroxysmal subtype (54.3%) and the low-mean sporadic subtype (45.7%). The high-mean paroxysmal subtype exhibited significantly more severe clinical symptoms, more emotional abuse experiences, lower self-esteem, higher impulsivity and greater difficulties in emotion regulation. The temporal-feature-based model outperformed the baseline-feature-based model in predicting self-injury risk. These findings underscore the dynamic nature and heterogeneity of NSSI ideation among adolescents with mood disorders, and offering implications for tailoring interventions to distinct youth subgroups.

Objective This study aimed at analyzing changes in the prevalence of excessive internet use and to analyze its associations with mental and cognitive health problems among adolescents. Method We used repeated cross-sectional data from the School Health Promotion study, a population-based nationwide classroom survey in Finland. All adolescents in grades 8-11 were invited, with a total of 602,226 responses in 2017-2023. Excessive internet use was measured with the five-item Excessive Internet Use Scale covering core behavioral addiction symptoms. Depressive symptoms, generalized anxiety, and social anxiety were measured with validated questionnaires. Problems in cognitive functioning were assessed with one-item indicators. Analyses were done with Chi-square tests and logistic regression. Results From 2017 to 2023, the prevalence of excessive internet use increased, especially among girls. The increasing trend was significantly (p<0.001) steeper among girls, with the OR for time (in years) being 1.12 in grades 8-9 and 1.14 in grades 10-11, while among boys the corresponding ORs were 1.00 and 1.04, respectively. Excessive internet use associated with short sleep, depressive, generalized anxiety, and social anxiety symptoms (ORs between 1.73-2.42 in boys; 1.92-2.26 in girls; p<0.001) and with difficulties in tasks requiring reading, writing, and mathematics, and difficulties in concentrating (ORs 1.84-2.31 in boys; 1.83-1.98 in girls; p<0.001). Conclusion The prevalence of excessive internet use showed an increasing trend, especially among girls. The associations of excessive internet use with mental health symptoms and cognitive challenges were clear.

Importance: Clozapine is the only evidence-based treatment for treatment-resistant schizophrenia (TRS), yet substantial international variation in its use has been reported. Objective: To provide a comprehensive and updated assessment of international clozapine utilisation by estimating prevalence across countries using a standardised methodology and examining factors associated with variation in use. Design, Setting, and Participants: Repeated cross-sectional study using population-based data from 2015 to 2024. Individual-level data were obtained from 36 countries and 1 special administrative region, supplemented by national clozapine consumption data from 5 additional countries. Analyses were conducted separately for adults (20-64 years; primary analysis), adolescents (10-19 years), and older adults ([&ge;]65 years). Main Outcomes and Measures: Annual outpatient clozapine utilisation prevalence per 100,000 population by age group, sex, country and calendar year. Associations between clozapine utilisation prevalence and country-level health system, demographic, and socioeconomic indicators were also examined. Results: We analysed data from more than 1.1 billion people across all inhabited continents. In 2024, crude adult clozapine use prevalence was highest in Croatia (415.3 per 100,000 population) and Finland (302.0 per 100,000), and lowest in Oman (0.5 per 100,000) and Ethiopia (0.3 per 100,000), representing a 1,384-fold difference. Across most countries, utilisation peaked among individuals aged 50 to 59 years. The male-to-female prevalence ratio ranged from 0.4 in the United Arab Emirates to 2.8 in Colombia. Among adolescents, prevalence was highest in Colombia (42.7 per 100,000) and Croatia (24.4 per 100,000), while among older adults it was highest in Croatia (406.9 per 100,000) and Iceland (339.7 per 100,000). Across all countries, adult clozapine utilisation increased by 17% (95% CI, 16%-18%), from 44.7 per 100,000 population (95% CI, 44.5-44.9) to 52.2 per 100,000 population (95% CI, 51.1-52.4). Country-specific trends ranged from a 71% decrease to a 342% increase. None of the examined indicators explained variation in clozapine utilisation across countries. Conclusion and relevance: Clozapine use increased modestly over the past decade but remained highly variable between countries. This variation was not explained by national socioeconomic, healthcare-system, or monitoring-related factors, suggesting an important role for clinical and service-level barriers. The concentration of clozapine use in later adulthood is consistent with delayed initiation and highlights opportunities to improve timely access to evidence-based treatment for TRS.

Introduction: Auditory verbal hallucinations (AVH) affect 60-80% of people with schizophrenia, yet existing assessment tools inadequately capture their phenomenological complexity. Aim: To determine whether individuals with schizophrenia spectrum disorders could accurately match auditory verbal hallucination loudness to an external audio track, and to explore participant perspectives on this approach. Methods: Eight participants with schizophrenia spectrum disorders and active AVHs rated loudness via a Likert scale and by adjusting a headphone audio track to match their experience. Structured interviews and thematic analysis captured participant viewpoints. Results: No significant correlation was found between audio tool and Likert scale scores. Seven of eight participants reported the audio tool provided greater precision in quantifying AVH loudness and better enabled them to convey their internal experience to others. Discussion: Audio-matching tools may offer meaningful advantages over traditional scales for quantifying AVH loudness, even where statistical convergence with existing measures is absent. Limitations: Small sample size; loudness alone cannot fully capture the qualitative experience of hearing voices. Implications: This tool shows promise for longitudinal tracking of AVH loudness. Recommendations: Further investigation of digital approaches to AVH assessment is warranted.

Objectives: This research aimed to characterize longitudinal changes in dose-normalized psychotropic exposure around transfer to a specialized older adult mental health service in Peru, with the primary contrast comparing the last eligible pre-transfer consultation (T0) with six months after transfer. We additionally explored characteristics associated with average medication-score levels and potential modification of the T0-to-6-month change. Methods: A retrospective longitudinal single-cohort study was conducted using routine clinical records from the Instituto Nacional de Salud Mental Honorio Delgado-Hideyo Noguchi in Lima, Peru. The primary analytic cohort comprised patients transferred to the older adult service who had valid longitudinal medication data at or before transfer and after transfer. A dose-normalized psychotropic medication score was calculated at approximately -6 months, -3 months, T0 (the last eligible consultation before transfer), +3 months, and +6 months. Longitudinal change was estimated using linear mixed-effects models with categorical time and participant-specific random intercepts; the prespecified primary contrast compared +6 months with T0. Sensitivity analyses evaluated alternative score definitions, age restrictions, influential observations, and participant-level cluster bootstrap resampling. Results: The primary analytic cohort included 213 participants; mean age at T0 was 65.5 years (SD 7.2), 59.2% were female, and the most frequent diagnostic categories were psychotic disorders (52.1%) and depressive disorders (29.1%). The medication score was 17.87 points higher at +6 months than at T0 (95% CI 12.18 to 23.57; p < 0.001), and the exploratory adjusted estimate was similar (17.82 points; 95% CI 12.10 to 23.54; p < 0.001). The primary contrast remained positive across alternative score definitions, age-restricted analyses, influence analyses, and participant-level bootstrap resampling. In exploratory effect-modification analyses, each 10-year increase in age was associated with a 10.94-point greater T0-to-+6-month change (95% CI 2.33 to 19.55; p = 0.013), although this association did not remain statistically significant after false-discovery-rate correction (FDR-adjusted p = 0.091); no other tested modifier showed evidence of interaction after FDR correction. Conclusions: Dose-normalized prescribed psychotropic exposure increased from a relative pre-transfer low point at T0 to 6 months after transfer, with similar estimates across sensitivity analyses. In the absence of a contemporaneous comparison group, this finding should be interpreted as a temporal association around service transfer rather than evidence that transfer itself caused the increase or that the resulting prescribing was clinically beneficial, harmful, or inappropriate.

Background Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are widely prescribed for type 2 diabetes and obesity, yet their neuropsychiatric safety profile remains incompletely characterized. We aimed to systematically evaluate neuro-adverse event (AE) signals for six GLP-1RAs and to validate key findings using population-based data. Methods We conducted disproportionality analysis of FAERS data for semaglutide, liraglutide, dulaglutide, tirzepatide, exenatide, and lixisenatide. RORs were calculated for 93 predefined neuro-AE MedDRA PTs across 11 neurological categories. External validation used NHANES 2013-2018 (n=17,057; 70 GLP-1RA users) with survey-weighted regression. Results We identified 41 significant neuro-AE signals. Semaglutide showed the strongest neuromuscular signal, muscle atrophy (ROR 3.94; 95%CI 3.42-4.54), corroborated by tirzepatide (ROR 2.35; 95%CI 2.04-2.71). Exenatide generated the highest psychiatric signal: nervousness (ROR 4.03; 95%CI 3.70-4.40). NHANES confirmed higher depression odds (OR 2.05; 95%CI 1.32-3.19; P=0.001) and reduced sleep hours (beta -0.35; P=0.033). Conclusions GLP-1RAs carry multiple neuropsychiatric safety signals, including muscle atrophy as a potential class effect and depression risk corroborated by population-level data. These findings support heightened clinical monitoring.

Background: Mental health conditions represent a significant public health burden in sub-Saharan Africa, where access to specialist services remains limited. Sokoto State, Nigeria, has an estimated population exceeding 5.4 million with fewer than five psychiatrists, leaving frontline health workers to provide much of the mental health care. LUMANA is a human-centred artificial intelligence (AI) system developed to support mental health screening in resource-constrained settings. Methods: We conducted a field validation of LUMANA in Sokoto State, Nigeria, on 28-29 January 2026 following ethical approval (SKHREC/014/2026). Twenty stakeholders were enrolled, of whom 17 completed structured evaluations across eight standardized clinical scenarios using five assessment tools. The evaluation examined AI output safety, Hausa language performance, human-AI workflow integration, trust and cultural appropriateness, and implementation readiness. Results: A total of 136 AI output safety assessments were completed. Overall, 113/136 (83%) AI outputs were rated acceptable as shown, while 23/136 (17%) were considered acceptable only with human review; no AI output was rated unacceptable. Religion and culture were identified as important determinants of trust by 14/17 (82%) participants, while 17/17 (100%) agreed that disclosures of self-harm or suicide should always involve a human clinician. Mean language quality scores were 9.9/10 for Hausa transcription, 9.9/10 for Hausa-to-English translation, and 9.2/10 for English-to-Hausa summary generation. Clinicians considered 7/8 (88%) human-AI workflow scenarios comfortable for routine practice. Three operational improvements were identified before pilot implementation: clearer protocols for interpreting distress, refinement of language to minimise potentially stigmatizing expressions, and automatic escalation of suspected psychotic symptoms. Conclusions: This scenario-based field validation provides preliminary evidence that LUMANA is perceived as culturally appropriate, acceptable and capable of supporting human-supervised mental health screening in a low-resource setting. However, the findings are based on a small convenience sample using standardized scenarios rather than live clinical use. Accordingly, the results support progression to a carefully monitored pilot implementation following completion of the identified system improvements, with prospective evaluation of safety, workflow integration and implementation outcomes before consideration of wider deployment.

BackgroundPsychotic-like experiences (PLEs) have been shown to increase the risk for mental health problems in later life, especially psychosis. Following previously raised methodological concerns about the assessment of PLEs in adolescents, this study sought to differentiate subtypes of PLEs and to explore their trajectories. MethodsLongitudinally matched data of 671 German adolescents from three surveys over the time span of one year were analysed. Four trajectories were identified, including persisting, subsiding, and emerging highly indicative PLEs (HIPs), and non-highly indicative PLEs (non-HIPs), and longitudinally compared in terms of associated distress, psychopathology, and substance use. A differentiated never PLEs group was considered as a control. ResultsThe persisting HIPs group reported greater distress than the non-HIP group over time and was consistently associated with higher rates of internalising symptoms. The subsiding HIP group showed significant reductions in distress and internalising symptoms over time, but no significant changes regarding externalising symptoms and substance use. There was no difference in the extent of substance use between the groups. ConclusionsScreenings of PLEs should be mindful of different subtypes of PLEs that indicate a greater associated risk of poor mental health. PLE screening should not stop at whether PLEs are present but ask which ones.

Background: Childhood trauma is a well-established risk factor for adverse mental health outcomes, yet large-scale cross-national evidence from the Arab region remains limited. This study examined the prevalence of childhood trauma and its associations with multiple transdiagnostic outcomes across 17 Arab countries. Methods: A cross-sectional online survey was conducted between September and October 2025 among 6,181 adults from 17 Arab countries. Childhood trauma was assessed using the Childhood Trauma Questionnaire-Short Form (CTQ-SF). Transdiagnostic mental health outcomes included depression, anxiety, posttraumatic stress symptoms (PTSS), maladaptive behavior, and social/functional impairment. Descriptive statistics, Pearson correlations, and multiple linear regression analyses were performed via IBM SPSS Statistics. Confirmatory factor analysis and structural equation modeling were conducted via R (Lavaan) to evaluate a second-order latent construct representing global childhood trauma. Results: Childhood trauma was widely reported across the sample, with physical neglect and emotional neglect emerging as the most frequently endorsed domains. All trauma domains were significantly associated with poorer mental health outcomes (p < .001). In regression analyses adjusted for demographic factors, emotional abuse emerged as the strongest predictor of depression ({beta} = .472, p < .001) and PTSS ({beta} =.439, p < .001). Structural equation modeling supported a second-order global trauma construct, which showed strong associations with depression ({beta} = .70), anxiety ({beta} = .64), PTSS ({beta} = .68), maladaptive behavior ({beta} = .68), and social impairment ({beta} = .67). This latent factor showed strong associations with all mental health outcomes, explaining substantial variance in depression (R2 = .52), anxiety (R2 = .43), and PTSS (R2 = .48). The structural model demonstrated borderline-to-acceptable fit (CFI = .899, TLI = .890, RMSEA = .058, SRMR = .085), supporting the hypothesized latent structure while indicating scope for further model refinement. Conclusions: Childhood trauma is highly prevalent across the Arab region and is strongly associated with multiple dimensions of psychological distress, highlighting the urgent need for trauma-informed prevention, screening, and early intervention programs in the Arab region.

BackgroundAtypical antipsychotics (AAPs) are increasingly prescribed for paediatric patients with autism spectrum disorder (ASD). However, pharmacovigilance data from Saudi Arabia remain scarce. The aim of this study is to detect and characterise signals associated with AAPs and assess gender- and age-related ADR reporting patterns. MethodsA retrospective cross-sectional study with disproportionality analysis was conducted on paediatric patients (0-19 years) using the Saudi Food and Drug Authority (SFDA) database (2021-2024). Disproportionality analyses were performed using the reporting odds ratio (ROR), proportional reporting ratio (PRR), and Bayesian confidence propagation neural network (BCPNN). Age and gender were assessed using odds ratios (ORs), with Firth penalized logistic regression to confirm associations. ResultsOverall, 701 ADR reports were analysed. Most involved males (59.91%) and children aged 0-9 years (82.88%). Olanzapine had the highest proportion of serious reports (44.44%). At the system organ class (SOC) level, signals included nervous system disorders with risperidone (ROR 32.61 [16.62-64.00]; PRR 3.49 [2.22-5.47]; IC025 0.08); cardiac and general disorders with quetiapine; haematological, metabolic, and psychiatric disorders with olanzapine; and gastrointestinal disorders with aripiprazole. Gender-adjusted analyses indicated significant variation in selected ADR signals across age groups, while no significant differences were observed by gender. ConclusionsThis study highlights disproportionality signals associated with AAP use in paediatric patients. Age-related ADR variation supports consideration of age-specific ADR monitoring within current paediatric recommendations. While these findings do not establish causality, they generate hypotheses for further evaluation. Regional pharmacovigilance may complement international paediatric safety monitoring frameworks.