Journal of Affective Disorders Reports

BackgroundNon-suicidal self-injury (NSSI) represents a growing public health concern, particularly in adolescents. Emotion dysregulation is central to prevailing NSSI models, yet it remains unclear whether acceptance-based emotion regulation (ER) and its underlying neural processes are disrupted in naturalistic, dynamic contexts. MethodsPre-registered neuroimaging trial in recently diagnosed and treatment-naive adolescents with NSSI (n=25) and healthy controls (n=25) using an ER paradigm with dynamic video clips and concomitant functional magnetic resonance imaging. Behavioral, neural activity, and connectivity indices during emotion reactivity and acceptance-based regulation were compared between groups. ResultsAdolescents with NSSI experienced elevated negative feelings during neutral clips, reflecting heightened baseline negativity. In comparison to controls, they displayed reduced temporal and ventrolateral prefrontal engagement during emotional reactivity, but increased engagement of regions implicated in both emotion reactivity (right amygdala, insula) and ER (right dlPFC, dmPFC, vlPFC) when utilizing acceptance. Higher activation in the right dlPFC was positively associated with difficulties in accessing ER strategies in everyday life. Adolescents with NSSI showed reduced functional connectivity between the right amygdala and left dlPFC. ConclusionsAdolescents with NSSI exhibited a baseline negativity bias and altered neural engagement during both negative emotional reactivity and acceptance-based regulation, characterized by increased activation and reduced amygdala-dlPFC connectivity. These findings highlight atypical emotion processing in real-life contexts in individuals with NSSI. Targeting acceptance-based regulation and prefrontal-limbic circuitry may represent a promising intervention approach for adolescents with NSSI.

Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infection, potentially impacting their mental health. This study aimed to investigate the prevalence of antenatal depression (AD) post-lockdown and develop predictive models for AD risk using machine learning. Methods A cross-sectional study utilizing the Edinburgh Postnatal Depression Scale was conducted in Beijing and Guizhou, China, from January to August 2023. Data was randomly split into training and test datasets (6:4 ratio), with logistic regression (LR), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Gradient Boosting Decision Tree (GBDT) models trained and compared. The best model underwent further examination, including SHapley Additive exPlanations (SHAP) for feature importance, calibration curve (CC) for discrimination, and decision curve analysis (DCA) for clinical benefit. Results The effective response rate was 91.07% (459/504), with 25.7% (118/459) testing positive for AD. Multivariate analysis identified "sleep disorders," "family support level," and "COVID-19 symptom severity" as independent predictors. RF model showed the highest area under the curve in both training (0.842) and testing (0.724) datasets, with SHAP emphasizing the greatest impact of "sleep disorders" on AD. The RF model's calibration (P > 0.05) and clinical utility across thresholds (8%-95% and 10%-58%) were confirmed by CC and DCA, respectively. Conclusions AD strongly correlated with "sleep disorders," "family support level," and "COVID-19 symptom severity" post-lockdown, and the EPDS-based RF model effectively predicted AD risk.

IntroductionThere is a growing body of research showing that the menstrual cycle can affect mood, although research in those with an existing depressive disorder is still scarce. Studies estimate that 60% of women with depression experience premenstrual exacerbation (PME) of their depressive symptoms. AimsWith the TIDE study, we aim to 1) examine the feasibility of daily symptom tracking for two consecutive menstrual cycles to track PME, 2) estimate the prevalence of PME in depression in a clinical cohort and 3) examine whether PME is associated with other hormone-related mood symptoms (i.e., hormonal contraceptive side effects, peripartum depression). MethodsWe aim to recruit 60 female participants aged 18 to 45, who are in treatment for a depressive episode and who have a regular natural menstrual cycle. Participants will participate in questionnaires at baseline, inquiring about demographic characteristics and previous experiences with hormonal contraceptives and pregnancy. Participants will complete retrospective menstruation questionnaires on days 1 and 10 of each menstrual cycle, as well as daily diaries for two consecutive menstrual cycles, inquiring about menstruation and mood symptoms. After completion of the diaries, participants will receive a symptom report, as well as a study evaluation questionnaire. Results and conclusionWe expect that providing the menstrual cycle overview of symptom severity will lead to increased symptom course insights in participants with PME, and that participants with PME will find it clinically relevant and significant to gain insight into symptom trajectories across the menstrual cycle. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/26352210v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1d6545eorg.highwire.dtl.DTLVardef@3ceb57org.highwire.dtl.DTLVardef@17ea0faorg.highwire.dtl.DTLVardef@7aa9f6_HPS_FORMAT_FIGEXP M_FIG C_FIG

Depression remains a major public health concern globally, particularly in low resource settings where access to quality mental health care is limited and treatment outcomes are often suboptimal. In this context, the quality of the clinician patient relationship has been increasingly recognised as a critical determinant of therapeutic success. This study examined the influence of clinician patient therapeutic alliance and relational factors on treatment outcomes among patients with depression in Benue State, Nigeria. A crosssectional correlational design was adopted, involving patients diagnosed with depression and receiving care in selected health facilities. Data were analysed using Structural Equation Modelling to test hypothesised relationships among therapeutic alliance, relational factors, and treatment outcomes. The measurement model demonstrated strong psychometric properties, with all factor loadings exceeding 0.60, composite reliability above 0.90, and adequate convergent and discriminant validity. Results revealed that therapeutic alliance significantly predicted treatment outcomes, while relational factors also had a significant positive effect. Therapeutic alliance further significantly predicted relational factors. The model explained 61 percent of the variance in treatment outcomes. Mediation analysis indicated that relational factors partially mediated the relationship between therapeutic alliance and treatment outcomes, accounting for 29 percent of the total effect. The study concludes that therapeutic alliance, strengthened through trust, empathy, and collaboration, plays a central role in improving depression outcomes. Strengthening relational competencies in clinical practice is therefore essential for enhancing mental health care delivery in Nigeria.

BackgroundHealthcare workers are at increased risk of post-traumatic stress disorder (PTSD) due to prolonged exposure to high-stress clinical environments. Although the Health Belief Model (HBM) has been widely used to explain health behaviors, its application to psychological outcomes such as PTSD remains limited. The role of cognitive-emotional processes, particularly experiential avoidance, in linking health beliefs to trauma symptoms is not well understood. MethodsThis study adopted a quantitative cross-sectional design to collect data from 475 healthcare workers in Ekiti State, Nigeria. Participants completed standardized measures assessing Health Belief Model constructs, experiential avoidance, and PTSD symptoms. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with bootstrapping used to test direct, indirect (mediation), and moderation effects. Cluster analysis was also conducted using SPSS to validate differences in PTSD symptom severity across psychological constructs and demographic variables. ResultsExperiential avoidance significantly predicted PTSD symptoms ({beta} = 0.395, 95% CI [0.231, 0.565]). HBM constructs were negatively associated with experiential avoidance ({beta} = - 0.198, 95% CI [-0.270, -0.108]) and PTSD symptoms ({beta} = -0.119, 95% CI [-0.216, -0.006]). Mediation analysis indicated that experiential avoidance partially mediated the relationship between HBM constructs and PTSD ({beta} = -0.078, 95% CI [-0.132, -0.037]), with a total effect of - 0.197. Age moderated the relationship between HBM and experiential avoidance ({beta} = -0.114, 95% CI [-0.207, -0.025]) as well as the indirect pathway to PTSD. Sex significantly predicted PTSD symptoms ({beta} = 0.358, 95% CI [0.214, 0.501]). Cluster analysis showed that experiential avoidance and perceived barriers significantly differentiated high and low PTSD symptom groups. ConclusionThe findings support a conditional cognitive-emotional model in which Health Belief Model constructs influence PTSD symptoms both directly and indirectly through experiential avoidance. Demographic factors shape the strength of these relationships, while perceived barriers and experiential avoidance emerge as key determinants of trauma-related distress among healthcare workers.

Background: Childhood adversity (CA) is recognized as a distal risk-factor for suicide attempts (SA) in individuals with psychiatric disorders. However, not all individuals with experiences of CA will engage in SA. Contributing to this relationship may be proximal factors such as impulsivity, inward anger and self-aggression. However, these factors are often conceptually blended and measured in different samples. We sought to clarify association among CA and personality factors in persons with SA. Methods: Participants from two studies comprised individuals with a diagnosed psychiatric disorder and history of SA (n= 139) and individuals with depressive disorder (clinical controls, CC; n= 24). We investigated self-reported levels of CA, impulsivity, inward anger, and self-aggression between the SA and CC (pcorr< .012). We tested the relationship among the factors using regression (pcorr<.017) and mediation model (indirect effects, p<.05) within the SA group. Sensitivity models were run controlling for age, gender, symptom severity, trait anger, and externally oriented aggression. Results: SA group had higher impulsivity (pcorr=.067) in a model controlled for age and gender. Other factors did not differ among groups. Within the SA group the analyses revealed positive association among CA and personality factors (pcorr<.06) in basic and model with age and gender, however the association was not specific for internally (self) oriented factors (coefficient comparison, p<.07). Parallel mediation model indicated that CA had indirect effect on self-aggression through impulsivity (p=.001) and to a lesser extent through inward anger (p=.066). Generally, models controlling for cognitive depression symptoms showed less prominent effects (pcorr>.1). Limitations: The study was cross-sectional and did not include behavioral tasks (state) measures of proximal factors. Conclusions: CA and personality factors showed similar severity levels among the SA and CC groups suggesting they may relate to broader psychopathologies, rather than specifically to SA. The association of CA with anger and aggression was unspecific to internally oriented factors indicating the need for more precise measuring instruments developed specifically for individuals with SA. Overall, the study highlights personality factors as being associated with risk in broader vulnerable populations.

BackgroundHigh-demand sanitary crises, such as the COVID-19 pandemic, impose a high burden on healthcare professionals, increasing their risk of burnout. Healthcare postgraduate (HCP) trainees compound the general healthcare professional workforce and may face unique risks and challenges. This study aimed to evaluate the incidence of burnout and identify its predictors among healthcare postgraduate trainees during a high-demand sanitary crisis. MethodsA longitudinal observational study was conducted during the pandemic among healthcare postgraduate trainees from 67 Brazilian healthcare institutions. Participants were assessed at baseline (July to September 2020) and after an 18-months follow-up. Individuals with burnout at baseline were excluded. Several questionnaires, including the Oldenburg Burnout Inventory (OLBI) and the depressive disorder PHQ-9 scale were applied. Associations between baseline characteristics and the development of burnout were analyzed using chi-squared and t tests, and log-binomial regression. The study received ethical approval (CAAE: 33493920.0.0000.5558). ResultsA total of 313 participants were included; mean (SD) age: 28.2 (4.6) years; 80.1% (n=250) were biological females; 58.5% (n=183) whites; 51.1% (n=160) physicians; 12.5% (n=39) nurses; 36.4% (n=114) other HCP trainees; 47.9% (n=150) had depressed symptoms at baseline. Burnout incidence rate [95% CI] was 202.9 [166.5, 239.3] cases per 1000 person-years. In bivariate analyses, depressive mood at baseline predicted future burnout (relative risk [95% CI] = 2.14 [1.49, 3.08]; p<0.001), while older age (mean difference, MD [95% CI] = 1.10 [0.16, 2.09] years; p=0.029), higher autonomy (MD [95% CI] = 0.57 [0.10, 1.04] on a 10-point visual numerical scale, VNS; p=0.018) and adequate professional training (MD [95% CI] =0.85 [0.30, 1.40] on VNS; p=0.003) showed protective effects. Sex, race and weekly workload could not predict burnout. In multivariate analyses, depressive symptoms at baseline remained independently associated with higher risk of burnout (risk ratio, RR [95% CI] = 1.84 [1.26, 2.71]; p=0.002), while having adequate professional training showed a protective effect (RR [95% CI] = 0.61 [0.43, 0.87]; p=0.007). ConclusionsVery high incidence of burnout among HCP trainees was observed under a global sanitary crisis. Depressed mood at baseline was the most relevant predictor of subsequent burnout. Providing mental health support for HCP trainees in future widespread sanitary crises seems advisable to preserve the workforce.

BackgroundMost studies seeking to identify youth at increased risk for depression have developed prediction models using a limited set of risk factors in general population samples. It is unclear whether these models generalize to high-risk youth. Here, we developed machine learning algorithms to predict first-onset depression in youth from the general population and high-risk youth with attention-deficit/hyperactivity disorder (ADHD). MethodsParticipants were 4803 unrelated children from the ABCD study with no prior mood disorder and complete data at baseline (age 9-10 years) and 2-year follow-up. Support Vector Machine, Random Forest, and Elastic Net models were used to predict first-onsets from clinically-relevant risk factors spanning mental and physical health, cognitive, dispositional, interpersonal, and socio-environmental domains. Predictive performance was evaluated in the full sample and separately in participants with ADHD (N=584, 12.16%). ResultsModels trained on the full sample achieved good discriminative predictive power (area under the curve [AUC]=0.70 and accuracy=0.70-0.82). Predictors that replicated across models included earlier pubertal development, higher behavioral inhibition and aggression, and more time spent passively watching media content. In the ADHD subsample, model performance declined (AUC=0.46-0.61) and predictors only partly overlapped with those identified in the full sample. ConclusionsModels effectively predicted depression in the general population but showed poor generalization to high-risk youth with ADHD, suggesting different risk factors in this group. These findings highlight that models trained in general population samples may not generalize to high-risk groups, pointing to the need for more tailored efforts to predict depression in youth at increased risk.

Background: Hydrogen sulfide (H2S) is an endogenous gasotransmitter synthesised in the central nervous system (CNS) primarily by cystathionine {beta}-synthase (CBS) and cystathionine {gamma}-lyase (CSE). Pre-clinical studies consistently implicates H2S deficiency in the pathophysiology of depression through disruption of synaptic plasticity, neuroinflammation, oxidative stress, and brain-derived neurotrophic factor (BDNF) signalling. Yet, we still lack direct clinical evidence quantifying circulating H2S in patients with Major Depressive Disorder (MDD), particularly from South Asian populations. In this study, we measured serum H2S levels in drug-naive patients with MDD and compared them with healthy controls at a tertiary care center in eastern India. We examined the associations between serum H2S and depression severity as assessed by the 17-item Hamilton Depression Rating Scale (HAM-D-17). This institution-based, cross-sectional analytical study was conducted at North Bengal Medical College and Hospital (NBMCH), West Bengal, India, over 12 months. Fifty drug-naive patients fulfilling DSM-5 criteria for MDD and fifty age- and sex-matched healthy controls were enrolled by consecutive sampling. We quantified serum H2S using the spectrophotometric methylene blue method and depression severity was assessed using HAM-D-17. Statistical analyses included independent-samples t-test, chi-square test, and linear regression. Serum H2S was markedly and significantly lower in MDD patients (0.068 {+/-} 0.044 {micro}mol/L) compared with healthy controls (0.524 {+/-} 0.272 {micro}mol/L; p < 0.001), representing an approximately 7.7-fold reduction. HAM-D-17 scores were significantly higher in MDD patients (28.94 {+/-} 12.78) than in controls (3.96 {+/-} 2.31; p < 0.001). Linear regression across the combined cohort revealed a significant negative association between serum H2S and HAM-D score (R{superscript 2} = 0.287; y = 24.64 - 26.84x; p < 0.001), indicating that higher serum H2S was associated with lower depression severity. Within the MDD group alone, the regression was weak (R{superscript 2} = 0.061), consistent with a floor effect. Within the control group alone, the regression was strong (R{superscript 2} = 0.772). No significant associations were found between serum H2S and any sociodemographic variable in either group. Drug-naive MDD patients exhibited substantially reduced serum H2S levels compared with healthy controls, and lower H2S was associated with greater depression severity. These findings provide direct clinical evidence from an Indian population supporting the H2S deficiency hypothesis of depression and suggest that the CBS/CSE-H2S axis may represent a novel biomarker and therapeutic target in MDD. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/26352330v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1ce64f6org.highwire.dtl.DTLVardef@1465ca2org.highwire.dtl.DTLVardef@6bba64org.highwire.dtl.DTLVardef@9a1411_HPS_FORMAT_FIGEXP M_FIG C_FIG

Background/Objectives People living with HIV face overlapping hardship through medical, behavioral, and social needs that require an integrated and coordinated approach. Harlem United multiservice model provides healthcare, food assistance, housing support, harm reduction services, behavioral health counseling, case management, and much more to support their clients. This study is an examination on how the participation in the Harlem United multiservice model is associated with changes over time in client health, behavioral health, and social outcomes. Methods This study performed a longitudinal program evaluation examining Harlem United clients enrolled between January 2020 and January 2025 who remained engaged in services for a minimum of one year. Client outcomes were assessed across three time points: Baseline, Year 1, and Year 2. The sample included 154 clients at baseline (N=154) with a total of 428 observations (N=428). Quantitative measures that were assessed included program involvement, housing stability, PHQ4 scores, food insecurity, medication adherence, and viral suppression. Data was analyzed using IBM SPSS Statistics through descriptive statistics, frequency tables, and generalized estimating equation models (GEE) to account for repeated observation over time. Results Medication adherence and viral suppression remained consistently high across all time points in the longitudinal study suggesting that most clients were virally suppressed or undetectable at baseline. Housing stability was statistically significant Wald X2 (2) = 156.073, p < 0.001 with improvements noted in Year 1 and Year 2 compared to baseline. Program level was significantly associated with PHQ4 scores, Wald X2 (1) = 7.902, p = 0.005. Food insecurity was also associated with PHQ4 scores, Wald X2 (1) = 5.462, p = 0.019. Findings suggest that clients with higher PHQ4 scores were involved in more programs compared to clients only enrolled in 1-2 programs. Additionally, clients with higher PHQ4 scores were more food insecure highlighting the relationship between social needs and mental health. Conclusion: Findings suggest that the Harlem United multiservice model played a supportive role in the maintenance of health and social outcomes through medication adherence and viral suppression. Although, significant improvement was not reflected across several outcomes, the association between PHQ4 scores, food insecurity, and an increase in program involvement suggest that the multiservice is reaching more clients with complex behavioral and social needs. Continued integration of these services is important for sustaining client stability while addressing social determinants of health.

Background: The incidence of antidepressant withdrawal reactions in longer-term users and the influence of dosage is insufficiently understood. Objectives: Informed by neuropharmacological models and user surveys, this study examined symptom change during tapering and if increases were specifically associated with reductions below 75% of the minimum effective dose. Design: This was a prospective longitudinal cohort study with seven assessments over six months. Methods: Altogether 32 Swiss adult primary care patients who were on antidepressants for at least six months and in stable remission were assessed at baseline (week 0) before they started tapering and after 2, 4, 6, 8, 16, and 26 weeks. Withdrawal symptoms were measured repeatedly using an adapted version of the Discontinuation-Emergent Signs and Symptoms Scale (DESS) and the main outcome was intra-individual symptom change during intervals. Antidepressant dose was standardized relative to the minimum effective dose in the treatment of depressive and anxiety disorders. Results: Across intervals, reductions below 75% of the minimum effective dose were associated with symptom increases, while reductions above that threshold or no reductions were associated with symptom decreases. After adjusting for potential confounders, the rate of clinically relevant symptom increases contingent on dose reductions below 75% of the minimum effective dose was 33%, as compared to 13% during intervals with no dose reductions (OR=3.2, 1.4 to 7.4). We thus estimated that 60% of the risk of clinically relevant symptom increases was attributable to pharmacological withdrawal effects. The adjusted incidence rates for clinically relevant and severe withdrawal reactions were 32% and 11%, respectively. Conclusions: Consistent with neuropharmacological research findings, we found that antidepressant withdrawal symptoms emerge mostly following reductions below 75% of the minimum effective dose, affecting about one-third of patients. Even small reductions may trigger clinically relevant withdrawal reactions in this lowest dose-range, stressing the need for personalized tapering plans.

Objectives and study: This study aimed to examine predictors of post-partum maternal mental health (MMH) and coping during COVID-19 lockdown across seven countries (the UK, China, Japan, Malaysia, Mexico, Argentina, and Thailand). Methods: An anonymous questionnaire, developed in the UK in English and translated into local languages, was used in 2021-2022 to collect data on MMH and perceived coping ability from women aged [&ge;]18 years with an infant born before or during lockdowns. Five MMH components (worry, sadness, loneliness, difficulty relaxing, annoyance) and coping were assessed on a 4-point Likert scale, then dichotomised. MMH and coping were compared across countries using Chi-square tests with post-hoc pairwise comparisons conducted via Bonferroni-adjusted z-tests. Predictors of MMH and coping were examined using multivariable logistic regression. Results: A total of 7,650 women were analysed. Younger infant age, higher income, walking and exercise, and level of support were associated with better MMH and coping, whereas higher education was associated with better coping but poorer MMH. MMH and coping differed across countries (all p<0.001), which remained after adjusting for covariates: mothers in Asian countries reported better MMH, while those in the UK and Thailand reported better coping. Conclusions: Postpartum MMH and coping during lockdown were shaped by both individual and contextual factors. Findings highlight cross-country differences and underscore the need to strengthen maternal support system during future disruptions to perinatal care. Keywords: Mental Health, COVID-19, Postpartum Period, Coping Behaviour, Social Support, Cross-Cultural Comparison

Structured AbstractO_ST_ABSBackgroundC_ST_ABSPost-Traumatic Stress Disorder (PTSD) is a mental health condition affecting people who experience traumatic events. Trauma-exposed occupational groups report higher rates of PTSD than the general population. Current treatments, and access, often take months and may cause distress when people are required to talk about the trauma. ObjectiveTo determine the proof of concept of FIRST, a brief, non-trauma focussed therapy, in two separate populations with employment-associated PTSD. MethodTwo independent, single-arm, experimental therapy pilot trials were conducted. Trial one recruited 20 military veterans who received FIRST therapy via trained third-sector therapists. Trial two recruited 16 health and social care workers with FIRST therapy delivered by healthcare provider therapists. All participants were adults with PTSD (confirmed via CAPS-5 in trial one, and symptom score of [&ge;]33 on the PCL5 in trial two). Primary outcomes were recruitment feasibility, retention, data quality and reduction in PTSD symptoms. Secondary outcomes were anxiety and depression symptoms, daily life functioning and perceived health status. Veterans were followed up at 12 weeks post-enrolment and healthcare workers at 8 weeks. ResultsThe veteran trial progression criteria to main trial were met. Seventy-nine people screened eligible, 43 attended a CAPS-5 assessment; 20 had confirmed PTSD and were enrolled. Seventeen completed therapy and 12-week outcome measures. Mean PCL-5 scores decreased from 48.7 (SD = 13.02, n=20) at baseline to 23.5 (SD = 15.30, n=17) at 12-weeks. The healthcare worker trial obtained informed consent from 16 participants, 10 commenced therapy and were included in analysis with eight completing therapy. Mean PCL-5 scores decreased from 42.60 (12.23, (n=10) at baseline to 22.00 (19.92, n=8) at 8-weeks. ConclusionsProof of concept of FIRST was established. PTSD symptom reductions exceeded the PCL-5 minimal clinically important difference. Undertaking a fully powered randomised controlled trial of FIRST therapy is feasible within both healthcare and third sectors. HighlightsO_LIPost-traumatic stress disorder (PTSD) is more common in military veterans and health workers than the general population C_LIO_LITherapy can be challenging to commence and complete when it requires a focus on the trauma incident C_LIO_LIFIRST offers a promising, brief, non-trauma focused therapy for the treatment of PTSD C_LI

Patient portals are online tools that enhance patients access to various aspects of their health care, including provider communication, medication information, and lab results. As portals continue to be integrated into health systems, it is imperative to understand the experiences of various groups who utilize their functions. Womens experiences of using patient portals have been scantly explored in the literature, including their perceptions about use for mental health care. The purpose of this study was to explore womens experiences of accessing and using a variety of patient portals, including their perceptions of usefulness for mental health care. A qualitative descriptive methodology was used to explore womens experiences of accessing and using patient portals across Canada. Purposive sampling was used to recruit ten women, who completed semi-structured, one-to-one interviews between April-June 2025. Conventional qualitative content analysis was used to analyze the data. Each woman had used at least one patient portal for their health care at the time of their interview. Four main themes emerged from the data, including: (1) the health care lived experience, (2) individual autonomy, (3) provider partnership, and (4) portal improvement. The interrelated themes contain narrative descriptions of individual experiences of accessing and using patient portals, and implications for using portals for womens mental health care. These results demonstrate a variety of womens experiences. Patient portals were found to impact their lived experiences with health care, enhance individual autonomy, and foster partnerships with their health care providers. The women also suggested various areas of improvement in portal design elements, features, and privacy functions. Future research should focus on evaluating the design of new portals to ensure they meet the needs of the population they serve. Author SummaryA patient portal is an example of a digital tool that is being integrated into various health organizations to supplement in-person care. Depending on the design and the complexity of the portal, patients may be able to complete online prescription renewals, access medication schedules, virtually communicate with their providers, and review their clinical notes. However, as digital tools continue to be produced and adapted within health settings, it is crucial to understand how they can best serve different populations. In this study, we explored womens experiences with using patient portals for their health care in Canada. We also aimed to understand womens perspectives on how patient portal use can be optimized for mental health care. We performed virtual interviews with 10 women who had used at least one patient portal for their health care, and gained their perspectives on accessibility, useful features, and how using a patient portal impacted their experiences of receiving health care. The women discussed how portal use improved their health care experiences and they suggested a variety of features to support mental health care as patient portal designs continue to be adapted to different settings.

BackgroundSuicide is one of the leading causes of death among adolescents. Suicidal thoughts and behaviors are significant risk factors for suicide, whilst depressive symptoms are significant risk factors for suicidal thoughts and behaviors. Multimodal school-based interventions that address these risk factors are considered the appropriate approach to suicide prevention. Method1,593 adolescents (aged 11-15 years) from 15 high schools in the Netherlands took part in the study, which was designed as a pragmatic cluster-randomized trial. The experimental condition consisted of (1) screening for depressive symptoms and suicidal thoughts and behaviors, followed by referral of those who scored positive; (2) gatekeeper training for school mentors; (3) a serious game to reduce stigma, promote health literacy and improve help seeking behavior; and (4) eight CBT-based sessions for adolescents with elevated depressive symptoms. The control group consisted of screening and the gatekeeper training. Both suicidal thoughts and behaviors and depressive symptoms were assessed at baseline, after 6 months and after 12-months follow-up. ResultsMultilevel mixed-model analysis revealed that, over the entire 12-month follow-up period, both suicidal thoughts and behaviors and depressive symptoms increased significantly in the experimental group, but not in the control group. No clinically relevant change was observed in either group. ConclusionsThe multimodal stepped-prevention program tested in the present study did not lead to a reduction in suicidal thoughts and behaviors or depressive symptoms. However, it is likely that the adverse impact of COVID-19-related school closures overwhelmed the programs effectiveness. Furthermore, few high-risk adolescents participated in the CBT-based sessions. Key Practitioner MessagesO_ST_ABSWhat is known?C_ST_ABSO_LISchool-based prevention programs aim to reduce suicidal thoughts, behaviors, and depressive symptoms among adolescents. C_LIO_LIMulti-modal interventions are increasingly promoted, but evidence of their effectiveness is limited under real-world conditions. C_LI What is new?O_LIThe multimodal stepped STORM program did not reduce STBs or depressive symptoms at 12-month follow-up; a small group-level increase was observed in the experimental group. C_LIO_LIParticipation in the indicated CBT-based module was low, revealing critical implementation gaps school programs. C_LI What is significant for clinical practice?O_LISchool-based programs should prioritize early identification with active referral, gatekeeper training. C_LIO_LIActive referral to a brief CBT-based intervention for high-risk students need to be implemented in close collaboration with both students and teachers to better assure its uptake C_LI

BackgroundBipolar disorder (BD) is frequently underdiagnosed, particularly in patients presenting with depressive disorders, leading to delays in appropriate treatment. Artificial intelligence (AI) applied to electronic health records (EHRs) may improve early detection by identifying clinically relevant symptom patterns. ObjectiveTo evaluate the diagnostic performance of a natural language processing (NLP)-based AI model for detecting BD-related features in EHRs of patients with affective diagnoses. MethodsA retrospective diagnostic accuracy study was conducted using 500 EHRs from a psychiatric referral hospital in Bogota, Colombia (2020-2024). The model extracted 18 predefined clinical domains from unstructured text and classified patients into four risk categories. Diagnostic performance was assessed in a validation subset of 100 records using independent psychiatric evaluation as the reference standard. Sensitivity, specificity, positive and negative predictive values, F1-score, and area under the receiver operating characteristic curve (AUC-ROC) were calculated. ResultsThe model achieved high agreement in symptom extraction (mean 91.1%). Sensitivity was 96.4% (95% CI: 87.7%-99.0%) and specificity was 84.4% (95% CI: 71.2%-92.3%), with an F1-score of 0.92 and an AUC-ROC of 0.932 (95% CI: 0.881-0.975). A substantial proportion of patients with depressive diagnoses were identified as having confirmed BD or clinically relevant risk. The model analyzed complete EHRs 120 times faster than human reviewers. ConclusionsNLP-based analysis of EHRs can achieve clinically meaningful performance in identifying BD-related patterns while substantially reducing review time. The model may be useful as a clinical decision support tool for earlier identification of bipolar disorder.

IntroductionThe anterior limb of the internal capsule (ALIC) is a major white matter highway connecting prefrontal cortical (PFC) regions to the thalamus, brainstem, and subthalamic nucleus. Structural and functional abnormalities within the ALIC circuit have been associated with many neuropsychiatric disorders, including obsessive-compulsive disorder (OCD) and depression, and deep brain stimulation (DBS) may provide effective treatment to some of these patients. However, it remains unclear whether the well-characterized topographic organization of the ALIC observed in healthy individuals and preclinical models is preserved in treatment-resistant psychiatric populations. MethodsWe first used diffusion tractography to evaluate the topography of PFC and subcortical fibers through the ALIC in patients with treatment-resistant OCD (n=18) and depression (n=5). In depression patients, we also evaluated ALIC topography using cerebro-cerebral evoked potentials (CCEPs) elicited by single-pulse electrical stimulation (SPES) of DBS leads in the ALIC and recordings in the ventral PFC (vPFC). ResultsThe topographic organization of PFC and subcortical projections is preserved in the ALIC among treatment-resistant psychiatric patients, consistent with patterns observed in healthy individuals and preclinical models. CCEP recordings in the ventral PFC showed a ventral ALIC to medial vPFC/dorsal ALIC to lateral vPFC response pattern in the left hemisphere, but not in the right. ConclusionOur findings confirm that topographic patterns within the ALIC previously identified using preclinical models and healthy controls are preserved in treatment-resistant psychiatric patients. Furthermore, by linking white matter topography to stimulation effects, this work supports more precise and individualized neuromodulatory strategies for neuropsychiatric disorders.

Background People with severe mental health conditions (SMHC) and caregivers in South Africa experience high rates of poverty. The PRIZE feasibility trial found that recovery groups were broadly acceptable and feasible and potentially effective in reducing relapse. Addressing economic needs was identified as a means to increase impact. This study aimed to understand experiences of financial insecurity and acceptability of poverty alleviation interventions as an adjunct to psychosocial interventions amongst people with SMHC and caregivers. Methods We conducted two focus group discussions and 12 in-depth interviews in isiXhosa with a total of 14 people with SMHC and 13 caregivers who had participated in PRIZE in Eastern Cape Province, South Africa. An inductive thematic analysis was conducted. Results We identified four major themes. Theme 1: Financial insecurity as a defining influence on life. We found that financial security was crucial to recovery, through bringing status and dignity. However, participants experienced substantial financial insecurity, which impacted on social and mental wellbeing. Financial insecurity was entrenched due to fractured and violent communities, cycles of debt and stigma amongst employers. Theme 2: Government disability grants are not a panacea. Difficulties accessing disability grants included problems attending assessments and rejection of applications. Whilst they were generally welcomed, receipt of disability grants sometimes caused problems such as increased stigma and family disagreements about how the money should be spent. Theme 3: Group savings offer conditional hope if carefully managed. Several caregivers had longstanding experiences of stokvels (community-based credit unions). However, some were fearful of group members absconding with funds. Participants emphasised that trust, safety and fairness are essential for successful group savings. Theme 4: Income-generating activities are desired but need capital and come with safety concerns. Many had ideas and motivation for small businesses but stressed the need for financial capital, skills training and financial literacy support. There were serious concerns that owning a business or gaining wealth could make one a target of crime. Conclusion Poverty alleviation interventions could positively impact on the wellbeing of people with SMHC and caregivers in South Africa as an adjunct to psychosocial interventions and psychiatric care. Approaches could include supporting access to social protection or existing savings groups, and nesting new savings groups or income generation initiatives into psychosocial interventions. Any model would need to incorporate robust mechanisms to ensure the safety of participants. All approaches would be enhanced by parallel social and public health interventions to build social capital and reduce violence in neighbourhoods.

IntroductionOccupational stress among rescue workers is a major global public health concern. Rescue workers, including paramedics, firefighters, and disaster response teams, are consistently exposed to traumatic events, long working hours, physical hazards, and emotionally charged situations. These chronic stressors make them one of the most vulnerable groups to psychological distress, burnout, anxiety, depression, and post-traumatic stress disorders. In the local context of Pakistan, workplace mental health remains a neglected area. Despite stress and burnout being widely reported in these sectors, limited evidence-based interventions are available. Therefore, the study aims to develop and evaluate a locally tailored intervention to improve the mental health and psychosocial well-being of rescue workers. ObjectivesO_LITo develop a culturally appropriate stress management intervention to promote mental health for rescue workers in Rawalpindi. C_LIO_LITo validate the content and structure of stress management intervention for rescue workers C_LIO_LITo evaluate the effectiveness of stress management intervention for rescue workers in Rawalpindi C_LI MethodThe ethical approval of the study has already been obtained from the ethical review board of Health Services Academy (00013/HSA/PhD-2022) and Rescue 1122 District Headquarters, Rawalpindi. Data will be collected after obtaining informed written consent from relevant stakeholders. Data collection will start from April 2026 and will be completed in six months. Data compilation and results are expected by December 2026. Data collection will involve a scoping review to explore stress determinants and intervention components, and then a qualitative phase in which data will be collected through focus group discussions from potential Stakeholders (rescue workers, mental health experts, and program managers) to identify and validate stress determinants. Triangulation of data will be done to integrate qualitative findings with findings from the review. In the second phase, validation will be done by intervention development experts. The third phase aims to evaluate the effectiveness of the developed intervention using a quasi-experimental pre-post design. A total of 154 participants evaluated with the Perceived Stress Scale Score will be employed through a stratified sampling technique. The primary outcome is defined as remission from stress at 3 months, measured with the PSS. DiscussionIt is anticipated that the study will result in the development of a culturally appropriate and evidence-based stress management intervention for rescue workers, thus contributing to sustainable improvement in rescuers mental health and job performance.

Objective: To assess the feasibility and acceptability of VISON-ACT, a standalone, mobile app psychosocial intervention for psychological distress in individuals with primary open-angle glaucoma (POAG). Design: Single-arm pilot. Participants: Patients (N=28) with a diagnosis of POAG, self-reporting at least mild (>3) distress on the 4-item Patient Health Questionnaire, were recruited from the Duke Eye Center between April 2025-December 2025. Methods: Patients (n=28) were consented and completed a baseline (A1) self-report assessment. VISION-ACT was comprised of 6 weekly modules. Follow-up self-report assessments occurred at post- (A2) and 1-month post-intervention (A3) and included measures of psychological distress, vision and health-related quality of life, psychological flexibility, disease acceptance, self-efficacy for symptom management, mindfulness, and social support. Participants were invited to complete an exit interview at 1-month post-intervention to gather qualitative feedback on the VISION-ACT protocol. Descriptive statistics were used to assess feasibility and acceptability metrics and patterns of pre-post change on patient reported outcomes were explored with linear mixed mdels using R Statistical Software. Main Outcome Measures: Feasibility (target accrual (n=25) in 12 months, <20% attrition at post-intervention); Acceptability (>75% reporting use of VISION-ACT skills or ideas at post-intervention, >80% reporting M>3.00/4.00 at post-intervention on the Client Satisfaction Questionnaire); Psychological Distress (Hospital Anxiety and Depression Scale [HADS], Subjective Units of Distress Scale [SUDS]). Results: VISION-ACT was highly feasible; accrual target was surpassed (N=28) in 6 months, and attrition was low (3.85%) at post-intervention (A2). Acceptability was strong with 100% of participants reporting use of VISION-ACT skills or ideas at A2 and M=3.27/4.00 intervention satisfaction. Adherence was remarkable with 88.5% of participants completing all six VISION-ACT modules. Pre-post change patterns were in the expected direction for psychological distress (HADS A1 M=13.88, A2 M=11.21; SUDS A1 M=35.54, A2 M=26.46) and all other patient-reported outcomes across baseline, post- and 1-month post-intervention assessments. Data on participant perspectives highlighted valuable aspects of VISION-ACT, and areas for refinement. Conclusions: Robust feasibility and acceptability data seen here provide support a fully-powered, randomized trial to evaluate the efficacy of VISION-ACT for reducing psychological distress and improving related patient-reported and clinical outcomes.