<strong>Background:</strong> Nearly 1 in 5 students aged 12-18 years report being bullied in the United States. Both targets and students who witness bullying experience negative mental health outcomes. School-based programs are effective in decreasing negative outcomes associated with bullying; however, significant implementation barriers associated with in-person programs limit program adoption, fidelity, and sustainability. STAC-T (Stealing the Show; Turning it Over; Accompanying Others; Coaching Compassion; Technology Version), an interactive bullying bystander app, was developed to reduce implementation barriers. However, little is known about what will be required to successfully translate STAC-T into routine practice in schools. As a first step, we examined school personnel perspectives on school-specific implementation strategies that would be both highly important and feasible (“go-zone” strategies) for delivering STAC-T. Identifying specific implementation strategies can further support implementation and program outcomes. Although researchers have developed a taxonomy of 33 school-specific “go-zone” implementation strategies, there is no research examining these strategies specifically for STAC-T. <strong>Objective:</strong> The aim of this study was to identify implementation strategies for STAC-T using “go-zone” methodology. “Go-zone” methodology categorizes implementation strategies into four zones: (1) zone 1: high importance, high feasibility; (2) zone 2: low importance, high feasibility; (3) zone 3: low importance, low feasibility; and (4) zone: 4 high importance, low feasibility. Objectives included (1) identifying “go-zone” strategies for STAC-T and (2) identifying zone 4 strategies for STAC-T and understanding how to increase the feasibility of these strategies. <strong>Methods:</strong> A self-selected convenience sample of school counselors and school social workers (N=195) recruited from national professional organizations completed an online survey. A subsample (n=14) completed qualitative interviews. “Go-zone” methodology was used to identify zone 1 (“go-zone”) and zone 4 strategies. Thematic analysis was used to extract themes related to increasing the feasibility of zone 4 strategies. <strong>Results:</strong> Fifteen implementation strategies were classified as “go-zone” strategies. The three most important strategies were (1) <i>make implementation easier by removing burdensome documentation tasks</i>, (2) <i>develop a detailed implementation plan or blueprint</i>, and (3) <i>obtain and use student and family feedback</i>. The most feasible strategy was <i>distribute educational materials</i>. Four strategies were classified in zone 4: (1) <i>develop instruments to monitor and evaluate core components of the innovative or new practice</i>, (2) <i>conduct educational meetings</i>, (3) <i>build partnerships to support implementation</i>, and (4) <i>provide ongoing consultation</i>. Qualitative data revealed that feasibility of zone 4 strategies can be increased by keeping evaluative assessments short and simple, using various modes of communication for educational meetings, building partnerships with support from school administration, and enhancing consultation through hybrid or virtual meetings and appointing a leader. <strong>Conclusions:</strong> Findings represent a first step in identifying implementation strategies that can be used to inform STAC-T implementation. Directions for future research include testing the efficacy of these strategies on improving both implementation and program outcomes.

Association between platelet-to-albumin ratio and major depressive disorder: findings from a Chinese clinical cohort supported by population-based evidence
BackgroundPlatelet dysfunction has been increasingly implicated in the pathophysiology of major depressive disorder (MDD), yet conventional platelet indices have shown inconsistent associations with the disease. The platelet-to-albumin ratio (PAR), a composite biomarker integrating inflammatory and nutritional status, has not been comprehensively investigated in relation to MDD across different populations. This study aimed to examine the association between PAR and depression using two independent cross-sectional cohorts.MethodsWe analyzed data from a population-based NHANES cohort (n = 34,068) and a Chinese clinical cohort (n = 735). Depression in the NHANES cohort was assessed using the Patient Health Questionnaire-9 (PHQ-9), whereas MDD in the clinical cohort was diagnosed by psychiatrists according to DSM-5 criteria. Multivariable logistic and linear regression, subgroup analyses, and restricted cubic spline (RCS) models were used to examine the associations of platelet count (PLT), mean platelet volume (MPV), and PAR with depression. Bonferroni correction was applied to account for multiple comparisons in the regression analyses.ResultsPAR was consistently and positively associated with depression across both cohorts after adjustment for potential confounders and Bonferroni correction. In the fully adjusted model, each unit increase in PAR was associated with higher odds of depression in both the NHANES cohort (OR = 1.047, 95% CI: 1.013–1.081, P = 0.006, Bonferroni-adjusted P = 0.018) and the clinical cohort (OR = 1.446, 95% CI: 1.267–1.659, P < 0.001, Bonferroni-adjusted P < 0.001). In contrast, PLT and MPV showed no consistent associations across the two cohorts. PAR was positively associated with depressive symptom severity in NHANES, whereas no significant association was observed in the clinical cohort. RCS analyses suggested an approximately linear association in NHANES but a nonlinear association in the clinical cohort. Stronger associations were observed among smokers, alcohol drinkers, and individuals without a partner in the clinical cohort.ConclusionsAcross two independent cross-sectional cohorts with different population characteristics and outcome assessments, PAR showed a consistent positive association with depression, whereas conventional platelet indices did not. These findings suggest that PAR may provide additional information on depression-related inflammatory and nutritional alterations beyond individual platelet parameters. Prospective studies are warranted to clarify the temporal relationship and evaluate its potential clinical utility.
Clinimetric properties of the Chinese version of the subjective incompetence scale: an extended paradigm
ObjectivesThis is the first validation study to evaluate the measurement properties (i.e., construct, concurrent, incremental, and relative validity) and determine the clinical utility of the Chinese version of the 12-item subjective incompetence scale (SIS-12) based on the science of clinimetrics.MethodsConsecutive general hospital inpatients (n= 232) in the Departments of Neurology and Obstetrics & Gynecology were assessed for SIS-12, along with measures of anxiety, depression, stress levels, and demographic information. Mokken analysis was employed to evaluate construct validity, while relative validity was assessed through relative weight analysis.ResultsMokken analysis indicated inadequate construct validity for items 1, 4, 8, and 10, leading to the development of an 8-item version of the scale (SIS-8), which was found to have optimal scalability. The SIS-8 also entailed the clinimetric properties of concurrent validity, incremental validity, and relative validity.ConclusionThe findings of the present clinimetric validation indicate that the SIS-8 can potentially be used both as a screening measure for the early detection of individuals at increased risk for demoralization and as a dimensional measure to assess the severity of feelings of subjective incompetence. This dual utility suggests its relevance in both clinical research and practice, particularly in managing inpatients suffering from psychological distress.
Depression in autism spectrum disorder: a scoping review of pharmacologic, neuromodulation, and psychosocial interventions
IntroductionMajor depressive disorder is common in autism spectrum disorder, but diagnosis and treatment are complicated by symptom overlap, atypical presentations, alexithymia, and limited ASD-specific evidence.MethodsWe conducted a scoping review of PubMed, PsycINFO, and reference lists for studies published from 1995 through 2025 examining pharmacologic, neuromodulation, and psychosocial interventions for depressive symptoms in ASD.ResultsPsychosocial interventions, including autism-adapted cognitive behavioral therapy, mindfulness-based therapy, dialectical behavior therapy-informed approaches, behavioral activation, PEERS, exercise, and animal-assisted therapy, were associated with improvements in depressive symptoms in open-label studies and small randomized trials. Neuromodulation findings were preliminary, while evidence for electroconvulsive therapy and deep brain stimulation was primarily case-based. Pharmacologic recommendations were based largely on expert consensus and indirect evidence rather than ASD-specific controlled trials.DiscussionDepression treatment in ASD remains understudied. Larger controlled trials using ASD-validated depression measures, broader representation across support needs, and assessment of functional and long-term outcomes are needed.
Integrated bioinformatics analysis identifies a ubiquitination-related gene signature in schizophrenia with peripheral clinical validation
BackgroundDysregulation of the ubiquitin proteasome pathway is implicated in the pathogenesis of schizophrenia (SCZ). The objective of this study is to identify the dysregulation of the ubiquitin-proteasome pathway and the potential mechanisms associated with SCZ by comprehensive analysis using integrated GEO datasets.MethodsWe integrated three SCZ related datasets containing 1847 ubiquitination-related genes (URGs) from GeneCards and PubMed, addressing batch effects and normalization with R packages. Subsequent Gene Ontology enrichment analysis was applied to the identified URGs, and an 8-gene molecular signature was constructed to distinguish schizophrenia from control brain tissues, and the discriminatory performance was evaluated by the area under the Receiver Operating Characteristic curve. SCZ samples were categorized into high-risk and low-risk groups based on median Risk Scores, followed by gene set enrichment analysis.ResultsA total of 13 SCZ-associated ubiquitin-related differentially expressed genes were significantly identified, with eleven being extremely statistically significant and two highly statistically significant. An 8-gene LASSO-derived molecular signature was constructed and validated, effectively discriminating SCZ patients from controls and classifying SCZ patients into high-risk and low-risk subgroups. The study also constructed protein-protein interaction and regulatory networks and conducted immune infiltration analysis, indicating statistically significant differences in six types of immune cells between the SCZ group and the control group, including CD56bright natural killer cells and central memory CD4+ T cells. ELISA validation in an independent clinical cohort confirmed elevated plasma S100A8 in SCZ patients versus controls, with no significant correlation to PANSS five-factor scores, suggesting S100A8 as a candidate peripheral biomarker reflecting disease state rather than current symptom severity.ConclusionsTogether with the identification of 13 ubiquitination-related DEGs and an eight-gene LASSO signature demonstrating moderate discriminative accuracy for stratifying SCZ patients, this multi-faceted analysis reveals altered ubiquitination patterns in SCZ and provides a hypothesis-generating foundation for future prospective studies incorporating drug-naïve first-episode patients, longitudinal sampling, and appropriate disease controls.
Longitudinal trajectories of benefit finding and its associations with emotion regulation, social connectedness, depression, and anxiety among Chinese college students following the removal of COVID-19 restrictions. a multivariate latent growth curve analysis
BackgroundBenefit finding may be associated with better mental health after the pandemic, but its longitudinal trajectory and its associations with psychosocial resources and mental health symptoms during recovery remain unclear.ObjectiveThis study examined trajectories of benefit finding among Chinese college students from approximately 3 to 15 months after COVID-19 restrictions were lifted. We also examined its associations with emotion regulation, social connectedness, depressive symptoms, and anxiety symptoms, together with indirect association patterns involving benefit finding.MethodsA three-wave longitudinal study was conducted among 1,155 Chinese college students. Data were analyzed using parallel-process latent growth curve modeling.ResultsSocial connectedness and benefit finding increased linearly over time, whereas depressive and anxiety symptoms decreased. Cognitive reappraisal was positively associated with the benefit finding intercept but negatively associated with its slope, whereas expressive suppression was not significantly associated with either growth factor. Social connectedness showed stronger associations with benefit finding trajectories than the emotion regulation variables. Benefit finding was negatively associated with depressive and anxiety symptoms at both the intercept and slope levels. Indirect association patterns through benefit finding were supported for social connectedness and both depressive and anxiety symptoms at the intercept and slope levels when inference was based on bias-corrected bootstrap confidence intervals.ConclusionsBenefit finding increased during the post-pandemic recovery period and was associated with lower depressive and anxiety symptoms. Social connectedness showed relatively strong associations with benefit finding trajectories, while cognitive reappraisal was associated with higher initial benefit finding but a slower subsequent increase. The indirect association patterns linked social connectedness with both symptom domains through benefit finding at the intercept and slope levels. These findings highlight psychosocial resources that merit further study in campus mental health research, while the observational design does not establish causal direction or temporal precedence.
Effectiveness of the Autism Pupil Screen (APS) Detect Pupillometer for Identifying Autism Spectrum Disorder (ASD) in Routine Healthcare
Conditions: Autism Spectrum Disorder
Interventions: Device: Autism Pupil Screen (APS) Detect PLR Assessment #1; Other: Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT/R-F); Other: Social Responsiveness Scale, Second Edition (SRS-2); Diagnostic Test: Autism Diagnostic Observation Schedule, Second Edition (ADOS-2); Other: Mullen Scales of Early Learning (MSEL); Other: Adaptive Behavior Assessment System, Third Edition (ABAS-3); Device: Autism Pupil Screen (APS) Detect PLR Assessment #2; Device: Autism Pupil Screen (APS) Detect Assessment #3; Procedure: Well-child check
Sponsors: Schweitzer Engineering Laboratories; Palouse Pediatrics; Pullman Regional Hospital; Washington State University; SEL Health Clinic
Recruiting
Interventions: Device: Autism Pupil Screen (APS) Detect PLR Assessment #1; Other: Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT/R-F); Other: Social Responsiveness Scale, Second Edition (SRS-2); Diagnostic Test: Autism Diagnostic Observation Schedule, Second Edition (ADOS-2); Other: Mullen Scales of Early Learning (MSEL); Other: Adaptive Behavior Assessment System, Third Edition (ABAS-3); Device: Autism Pupil Screen (APS) Detect PLR Assessment #2; Device: Autism Pupil Screen (APS) Detect Assessment #3; Procedure: Well-child check
Sponsors: Schweitzer Engineering Laboratories; Palouse Pediatrics; Pullman Regional Hospital; Washington State University; SEL Health Clinic
Recruiting
Evaluation of a Novel Quantum-Inspired Intervention (QII) for Children With Autism Spectrum Disorder: A Global Confirmatory Study
Conditions: Autism Spectrum Disorder; Autism Spectrum Disorder (ASD; ASD
Interventions: Other: Quantum-Inspired Intervention (QII)
Sponsors: BlissBot, Inc
Not yet recruiting
Interventions: Other: Quantum-Inspired Intervention (QII)
Sponsors: BlissBot, Inc
Not yet recruiting
Connectedness as a candidate pathway linking psilocybin retreat experiences to sustained wellbeing: a prospective naturalistic study
BackgroundPsychedelic retreats are increasingly used to promote wellbeing outside clinical settings, yet the psychological processes associated with sustained improvements in wellbeing remain poorly understood. From a public mental health perspective, identifying mechanisms that support positive mental health beyond symptom reduction is of growing importance.MethodsThis naturalistic longitudinal study followed 173 participants attending guided psilocybin retreats conducted within a structured framework of preparation, dosing, and integration. Mental wellbeing was reported before the retreat and across a 12-month follow-up period. Longitudinal changes were examined using linear mixed-effects models. Mediation analyses investigated whether changes in connectedness, neuroticism (anxiety facet), spiritual transcendence, and absorption were associated with changes in wellbeing. Mystical-type experiences were examined as potential predictors of these psychological changes.ResultsParticipants reported substantial and sustained improvements in mental wellbeing over 12 months, moving from levels below Swedish population norms at baseline toward comparable levels at follow-up. Connectedness showed the strongest statistical association with improvements in wellbeing and accounted for the largest proportion of variance in wellbeing change, followed by reductions in the anxiety facet of neuroticism and absorption. Spiritual transcendence was associated with wellbeing improvements when examined separately but did not retain unique effects in the multiple mediation model. More intense mystical-type experiences predicted greater increases in connectedness, spirituality, and absorption, as well as greater reductions in neuroticism (trait anxiety). The association between mystical experiences and wellbeing was substantially attenuated when connectedness was included in the model, suggesting that connectedness may act as a candidate mediator linking mystical-type experiences to longer-term wellbeing, though the observational design precludes causal inference.ConclusionsThese findings extend prior work on psychedelic-assisted therapy to naturalistic retreat settings, suggesting that connectedness may represent a key psychological process linking psychedelic retreat experiences to sustained improvements in mental wellbeing. From a public mental health perspective, the results highlight the potential importance of social and relational factors in promoting wellbeing beyond the treatment of mental illness. Future controlled studies are needed to clarify the relative contributions of psychedelic, social, and contextual components.
Pediatric psychotropic prescribing and polypharmacy, 2019-2022: a retrospective electronic health record study in Qatar
BackgroundReal-world evidence on pediatric psychotropic prescribing and polypharmacy in Gulf health systems remains limited. Characterizing medication-class patterns and multi-class prescribing is essential for medication safety surveillance in children and adolescents. This study examined psychotropic prescribing, potential polypharmacy, and recorded medication combinations among children and adolescents using public-sector electronic health records in Qatar.MethodsA retrospective observational study used electronic health record data from Hamad Medical Corporation and the Primary Health Care Corporation, Qatar’s principal public healthcare providers, from January 2019 to December 2022. Children and adolescents aged 0–17 years with at least one psychotropic prescription were included. Medications were classified as antidepressants, antipsychotics, anxiolytics, mood stabilizers, or attention-deficit/hyperactivity disorder (ADHD) medications. Potential cross-class polypharmacy was assessed as the recording of two or more medication classes per patient during the study period; available duration information did not permit confirmation of concurrent exposure. Logistic regression examined patient-level associations with this outcome.ResultsThe dataset included 2,941 eligible prescription records corresponding to 2,221 unique patients. The proportion of prescriptions for ADHD medications decreased from 28.7% in 2019 to 13.7% in 2022, whereas the proportion assigned to anxiolytics increased from 26.0% to 37.5%. ADHD medications predominated among prescriptions for children aged 5–11 years, while antidepressants and antipsychotics predominated among those for adolescents aged 12–17 years. The potential-polypharmacy criterion was met by 322 patients (14.5%), reaching 21.6% among adolescents. In a gender-adjusted model restricted to patients aged 1–17 years, each additional year of age was associated with higher odds of meeting the criterion (adjusted OR 1.13, 95% CI 1.10-1.16). After excluding patients with prescription-linked seizure disorder or cerebral palsy, the corresponding proportion was 16.96% (259/1,527). Among patients meeting the criterion, antidepressant-antipsychotic and ADHD medication-antipsychotic pairs were most frequent; methylphenidate-risperidone was the most common recorded individual-drug pair.ConclusionsThis study characterizes pediatric psychotropic prescribing and potential polypharmacy in Qatar’s public healthcare records and helps address the limited regional evidence from Gulf health systems. The observed patterns identify potential medication-safety surveillance priorities, particularly among adolescents and patients with antipsychotic-containing medication histories. Further assessment incorporating exposure duration and clinical outcomes is needed to establish concurrency and clinical significance.

