Bipolar disorders are a major cause of disability worldwide, with most of the disease burden attributed to those in low- and middle-income countries, including Nigeria. There is limited evidence on culturally appropriate interventions for bipolar disorders in Nigeria.

The study aims to examine the feasibility, and acceptability of culturally adapted psychoeducation (CaPE) for treating bipolar disorders.

A randomised controlled trial (RCT) compared CaPE plus treatment as usual (TAU) with TAU alone among 34 persons with bipolar disorders in Jos, Nigeria. CaPE comprised 12 group sessions of in-person psychoeducation lasting approximately 90 min each, delivered on a weekly basis by clinical researchers supervised by clinical psychologists and consultant psychiatrists. The primary outcome was feasibility, measured by participants’ recruitment and retention rates. Other outcomes included acceptability as measured by the Service Satisfaction Scale (SSS), Brief Bipolar Disorder Symptom Scale (BBDSS), Patient Health Questionnaire (PHQ-9) and Quality-of-Life scale (EQ5D). Outcomes were assessed at baseline and weeks 12 and 24. Focus group (n = 10) and individual interviews (n = 5) were conducted with the CaPE + TAU group, recorded, transcribed verbatim and analysed using interpretative phenomenological analysis.

The CaPE+TAU group (n = 17) recorded a high participant recruitment and retention rate of 86% across 12 sessions, and also recorded a higher level of satisfaction with SSS compared with the TAU alone group; 87.5% indicated very satisfied compared with 66.7% indicated not sure in the TAU group. In terms of clinical outcomes, for PHQ-9 scores the intervention group showed a reduction from baseline to end of intervention (EOI) and follow-up, with differences of −12.01 and −7.39, respectively (both P < 0.001). The EQ5D index showed a notable improvement in the intervention group at both EOI and follow-up (P < 0.001). Lastly, BBDS scores decreased significantly in the CaPE+TAU group at both EOI and follow-up, with differences of −21.45 and −15.76 (both P < 0.001).

The RCT of CaPE is a feasible, acceptable and culturally appropriate treatment option for bipolar disorders in Nigeria. Further adequately powered RCTs evaluating the intervention’s clinical and cost-effectiveness are warranted.

Mental health disorders such as depression and anxiety are highly prevalent among ophthalmic patients, particularly those with progressive vision impairment. Despite the strong interconnection between mental health and vision-related disabilities, mental health support remains underintegrated into ophthalmic care. The economic burden of untreated mental health conditions in visually impaired patients is understudied, particularly in middle-income countries such as Turkey and Bulgaria.

This study aims to examine the economic impact of untreated mental health disorders among ophthalmic patients, focusing on financial burden, healthcare access disparities and quality of life outcomes. In addition, the study compares barriers to mental healthcare across ophthalmic conditions and between Turkey and Bulgaria.

A qualitative study was conducted using structured surveys and in-depth interviews with 214 ophthalmic patients (107 in Turkey, 107 in Bulgaria). Mental health symptoms were assessed using the Patient Health Questionnaire-9 (for depression) and Generalized Anxiety Disorder-7 (for anxiety) scales. Thematic analysis was applied to qualitative responses.

Over 50% of participants exhibited moderate-to-severe depression and anxiety, with diabetic retinopathy and retinal disease patients experiencing the highest distress levels. Financial barriers were more pronounced in Bulgaria, whereas long psychiatric wait times disproportionately affected retinal patients. Mental health stigma was higher in Bulgaria, limiting care access.

Findings underscore the urgent need for integrating mental health services into ophthalmic care. Policy interventions should focus on financial support, stigma reduction and improved interdisciplinary care models to enhance mental health outcomes for visually impaired individuals.

Women’s authorship position in science, technology, engineering, mathematics and medicine research reflects career progression, especially the transition from first to last (usually senior) author. Employment of women in mental health sciences has increased, and so should have had an impact on the change to senior author position.

To identify if first or last women’s authorship has changed, and mental health has better representation.

We investigated women’s authorship position in a systematic review and meta-analyses, following PRISMA guidelines and using random-effects regression analyses.

We identified 149 studies with sampling periods from 1975 to 2020 (excluding potential COVID-19 pandemic effects) that showed a large variation of women authors, and found an average proportion for first (26.2%) and last (16.1%) author position. In mental health (psychology and psychiatry), there was a higher representation, with 40% first author and 36.7% last author position, whereas medicine was 25.9% and 19.5%, respectively. The rate of change for psychology and psychiatry women authors was also higher every 10 years: 8.56% (95% CI 6.44–10.69%) for first and 6.86% (95% CI 4.57–9.15%) for last author, and rate was 2.35% higher for first author and 2.65% higher for last author than in medicine. Different methods of classifying gender and identification method did not affect our results.

Although mental health topics seem to fare better, our comprehensive review highlighted that the proportions of women first compared with last authors shows the same leaky pipeline as in other analyses, so we cannot be complacent about gender equality and career progression.

Differences in social behaviours are common in young people with neurodevelopmental conditions (NDCs). Recent research challenges the long-standing hypothesis that difficulties in social cognition explain social behaviour differences.

We examined how difficulties regulating one's behaviour, emotions and thoughts to adapt to environmental demands (i.e. dysregulation), alongside social cognition, explain social behaviours across neurodiverse young people.

We analysed cross-sectional behavioural and cognitive data of 646 6- to 18-year-old typically developing young people and those with NDCs from the Province of Ontario Neurodevelopmental Network. Social behaviours and dysregulation were measured by the caregiver-reported Adaptive Behavior Assessment System Social domain and Child Behavior Checklist Dysregulation Profile, respectively. Social cognition was assessed by the Neuropsychological Assessment Affect-Recognition and Theory-of-Mind, Reading the Mind in the Eyes Test, and Sandbox continuous false-belief task scores. We split the sample into training (n = 324) and test (n = 322) sets. We investigated how social cognition and dysregulation explained social behaviours through principal component regression and hierarchical regression in the training set. We tested social cognition-by-dysregulation interactions, and whether dysregulation mediated the social cognition–social behaviours association. We assessed model fits in the test set.

Two social cognition components adequately explained social behaviours (13.88%). Lower dysregulation further explained better social behaviours (β = −0.163, 95% CI −0.191 to −0.134). Social cognition-by-dysregulation interaction was non-significant (β = −0.001, 95% CI −0.023 to 0.021). Dysregulation partially mediated the social cognition–social behaviours association (total effect: 0.544, 95% CI 0.370–0.695). Findings were replicated in the test set.

Self-regulation, beyond social cognition, substantially explains social behaviours across neurodiverse young people.

Brain morphological alterations in bipolar disorder are well documented, particularly in chronic cases. This study focuses on first-episode mania (FEM) to quantify neuroanatomical changes at early stages of the disorder.

To assess deviations from normative brain morphometry and age-related brain changes in patients with FEM.

Pretrained models, based on large, independent healthy samples, were applied to structural brain images from FEM patients (n = 83) and healthy individuals (n = 61). Normative deviation z-scores were computed for regional brain morphometry, along with global and voxel-level brain–age-gap estimates (G-brainAGE and L-brainAGE, respectively). The proportions of infranormal (z < −1.96) and supranormal (z > 1.96) deviations were measured for both groups. Ridge regression and support vector machine models were used to evaluate whether z-scores predicted symptom severity, IQ or diagnosis. Case-control differences in L-brainAGE and correlations between G-brainAGE and clinical features were analysed.

Both FEM and healthy individuals showed similar proportions of infra- and supranormal deviations in regional measures. Morphometric data, whether observed or normative, did not significantly predict clinical outcomes or diagnosis. Mean G-brainAGE in FEM was −1.04 (s.d. 3.26) years and negatively correlated with age of onset, while L-brainAGE did not differ significantly between groups.

Regional morphometry and local brain-ageing metrics in FEM patients aligned with normative ranges, suggesting minimal abnormalities in early bipolar disorder. However, subtle delays in global brain ageing may reflect variation based on the age of onset, highlighting a potential area for further exploration.

Trauma- and stressor-related disorders (TSRD) are debilitating mental health conditions. Given the barriers to traditional services, remote and online technologies are increasingly used in treating TSRD.

This mixed-methods systematic review aimed to identify remote technologies and assessed their feasibility and acceptability in treating adults with post-traumatic stress disorder (PTSD), acute stress disorder and adjustment disorder (AjD).

The databases MEDLINE, CINAHL, Embase, PsycInfo, PubMed and the Cochrane Library were screened to identify studies investigating the feasibility and acceptability of remote interventions for PTSD, acute stress disorder and AjD in adults. Studies that obtained poor-quality ratings on critical appraisal tools were excluded. Results were synthesised using a narrative review approach.

In total, there were 74 studies evaluating 27 remote interventions for TSRD: online interventions (k = 47, 63.51%), mobile applications (k = 17, 22.97%), video conferencing (k = 9, 12.16%) and message-based systems (k = 1, 1.35%). Findings from the review showed higher feasibility and acceptability for interventions with an interactive clinician–patient component. Among self-directed interventions, only two applications and eight online interventions provided a clinician component. Most studies targeted PTSD, with few targeting other diagnoses.

Recommendations related to remote interventions for TSRDs should be broadened to include AjD and other underrepresented diagnoses, and tailored to individual patients’ profiles, including their ability to sustain engagement and clinical needs, using a stepped-care approach.

Catatonia, a neuropsychiatric syndrome, can be associated with inflammatory conditions of the central nervous system.

To explore steroid-responsive catatonia with possible autoimmune origins.

A retrospective investigation was conducted of clinical and paraclinical features, including imagining, serum, and cerebrospinal fluid findings in ten patients presenting with subacute onset catatonia and treated with steroid pulse therapy between January 2022 and January 2024.

A retrospective chart review identified ten patients (of a total of 56) with steroid-responsive subacute onset catatonia. Catatonia types varied. All patients were positive for delirium and psychotic symptoms. Imaging and cerebrospinal fluid results indicated non-specific signs of central nervous system inflammation. Intravenous 1 g methylprednisolone pulse therapy resulted in complete remission in all patients. Autoantibodies for limbic and paraneoplastic encephalitis were negative for all patients. None of the patients fulfilled the criteria for definite autoimmune encephalitis or autoantibody-negative probable autoimmune encephalitis.

Diagnosis of autoimmune catatonia is challenging without autoantibody markers, but steroid responsiveness, combined with clinical and paraclinical features, may suggest an autoimmune mechanism.

Cash transfer programmes (CTPs) provide financial support to alleviate poverty and promote economic stability. The Bolsa Família Programme (BFP), a Brazilian initiative and the world’s largest CTP by number of beneficiaries, aims to improve living conditions. While poverty is closely linked to poor mental health, evidence regarding the specific effects of CTPs on young adults’ mental health remains limited, underscoring the need for further research.

To understand the meaning attributed to the BFP by young adults regarding their future aspirations and mental health, as well as perspectives from providers.

This qualitative study was conducted at the outskirts of São Paulo city, involving 12 in-depth interviews with young adults aged 18–24 years and 2 focus groups comprising 17 health and social assistance professionals.

Thematic analysis identified four themes according with interviews and focus groups: (a) perceptions about poverty (hopelessness and lack of opportunities); (b) impact of poverty on mental health (anxiety, unpredictability and hopelessness as consequences of living in poverty); (c) young adults’ needs and aspirations (job opportunities as the main expectation for a better future); and (d) BFP limitations and opportunities for improvement (BFP perceived as just one of the survival strategies but not impacting life opportunities for young adults).

The BFP was valued as essential for meeting poor families’ basic needs. Employment opportunities were central to young adults’ expectations, often causing anguish and anxiety. Expanding the BFP to include employment and income-generation policies could better support the mental health and life opportunities of vulnerable youth.

Clozapine-induced gastrointestinal hypomotility and constipation can result in severe and sometimes fatal gastrointestinal complications. Laxatives should be prophylactically prescribed with clozapine, but this is inconsistently achieved. Digital clinical decision support (CDS) alerts can promote safer prescribing.

To evaluate whether a CDS alert could promote timely laxative use with clozapine in hospital.

Retrospective in-patient prescribing data was used to compare co-prescribing of laxatives for first clozapine prescriptions pre-alert (January 2017–September 2019) and post-alert (September 2019–December 2023) implementation across 1194 hospital admissions where clozapine was prescribed. Regular non-bulking laxative and any laxative co-prescribing for first clozapine prescriptions within 24 h were assessed. Multivariable logistic regression was performed to determine the impact of alert implementation on laxative co-prescribing.

Of the 1194 admissions included, 449 admissions had clozapine prescribed pre-alert implementation and 745 admissions had post-alert implementation. Regular non-bulking laxative co-prescription occurred for 67.0% of first clozapine prescriptions pre-alert and 76.1% post-alert (P < 0.001). Any laxative co-prescription occurred for 87.3% of first clozapine prescriptions pre-alert and 96.5% post-alert (P < 0.001). Alert implementation was associated with increased likelihoods of regular non-bulking laxative co-prescribing (odds ratio, 1.341; 95% CI, 1.021–1.756; P = 0.035) and any laxative co-prescribing (odds ratio, 3.487; 95% CI, 2.135–5.838; P < 0.001) for first clozapine prescriptions within 24 h.

CDS alert implementation was associated with increased and earlier laxative co-prescribing for clozapine. Our findings suggest that a CDS alert is an effective tool for promoting timely laxative use with clozapine in hospital.

Long-acting injectable antipsychotic medications (LAIs) are more beneficial than oral medications for people with schizophrenia. However, some individuals are unable to visit out-patient clinics due to their symptoms, resulting in missed monthly LAI injections and subsequent relapse. Home visits for administration of LAIs could potentially reduce treatment failure, but there are no comparative studies on their effectiveness.

This study aims to evaluate whether home visit administration of LAIs, compared with the out-patient clinic, reduces treatment failure for those with schizophrenia.

We conducted a retrospective cohort study using electronic medical records from Seijin Hospital. Patients diagnosed with schizophrenia and treated with LAIs during hospitalisation between 1 April 2020 and 31 March 2023 were included. Following discharge, patients were followed for 1 year, either under home visits or out-patient clinic visits. The primary outcome was defined as treatment failure, including psychiatric rehospitalisation, discontinuation of treatment or death. Multivariate Cox proportional hazards regression analysis was performed to evaluate treatment failure risks.

A total of 125 patients in the home visit group and 117 in the out-patient group were included. During the follow-up period, home visits significantly reduced the risk of treatment failure (hazard ratio 0.62, 95% CI 0.40–0.97). However, having two or more psychiatric hospitalisations (hazard ratio 2.32, 95% CI 1.28–4.37) and living alone following discharge (hazard ratio 1.77, 95% CI 1.07–2.86) were associated with significantly increased risk of treatment failure.

Home visits, compared with out-patient clinic care, significantly reduce treatment failure in individuals with schizophrenia undergoing LAI treatment.

Action mechanisms of therapeutic alliance in stepped and digital interventions remain unclear.

(a) To compare the development of therapeutic alliance between psychosocial treatment as usual (PTAU) and a stepped digital intervention designed to prevent distress in cancer patients; (b) to analyse the level of agreement between patients’ and therapists’ therapeutic alliance ratings; and (c) to explore variables associated with therapeutic alliance in the digital intervention.

A multicentre randomised controlled trial with 184 newly diagnosed breast cancer women was conducted. Patients were assigned to digital intervention or PTAU. Therapeutic alliance was assessed at 3, 6 and 12 months after inclusion using the working alliance inventory for patients and therapists. Age, usability (system usability scale), satisfaction (visual analogue scale), type and amount of patient–therapist communication were analysed as associated variables.

Patients and therapists established high therapeutic alliance in the digital intervention, although significantly lower compared with PTAU. The development of patients’ therapeutic alliance did not differ between interventions, unlike that of the therapists. No agreement was found between patients’ and therapists’ therapeutic alliance ratings. Patients’ therapeutic alliance was associated with usability and satisfaction with app, whereas therapists’ therapeutic alliance was associated with satisfaction with monitoring platform.

A stepped digital intervention for cancer patients could develop and maintain strong therapeutic alliance. Neither the type nor amount of communication affected patients’ therapeutic alliance, suggesting that flexible and available digital communication fosters a sense of care and connection. The association between usability and satisfaction with digital tools highlights their importance as key therapeutic alliance components in digital settings.

Major depressive disorder (MDD) is a leading cause of disability worldwide. Investigating early-stage alterations in cerebral intrinsic activity among drug-naive patients may enhance our understanding of MDD’s neurobiological mechanisms and contribute to early diagnosis and intervention.

To examine alterations in the amplitude of low-frequency fluctuation (ALFF) in first-episode, drug-naive MDD individuals and explore associations between ALFF changes and clinical parameters, including depression severity and illness duration.

A total of 30 first-episode, drug-naive MDD individuals (mean illness duration 14 weeks) and 52 healthy controls were included in this study. Resting-state functional magnetic resonance imaging was used to obtain whole-brain ALFF measurements. Voxel-based ALFF maps were compared between MDD and healthy control groups using a two-sample t-test. Simple regression analysis was performed to assess associations between ALFF and clinical measures, including Hamilton Rating Scale for Depression (HAMD) scores and illness duration.

MDD individuals exhibited significantly increased ALFF in the dorsal anterior cingulate cortex and vermal subregion V3 of the cerebellum. Additionally, ALFF in the right dorsolateral prefrontal cortex was negatively correlated with HAMD scores (r = –0.591, P < 0.001). However, no significant association was found between ALFF and illness duration.

This study demonstrates early-stage ALFF alterations in drug-naive MDD patients, particularly in brain regions implicated in cognitive and emotional regulation. These findings suggest potential neuroimaging biomarkers for the early diagnosis and intervention of MDD.

Mental health conditions, particularly depression and anxiety, are highly prevalent and impose substantial health burdens globally. Despite advancements in machine learning, there is limited application of these methods in predicting common mental illnesses within community populations in low-resource settings.

This study aims to examine the prevalence and associated risk factors of common mental illnesses collectively (depression and anxiety) in a rural Bangladeshi community using machine learning models.

This cross-sectional study surveyed 490 adults aged 18–59 in a rural Bangladeshi community. Depression and anxiety were assessed using the Patient Health Questionnaire (PHQ-2) and Generalised Anxiety Disorder (GAD-2) scales. Machine learning models, including Categorical Boosting, the support vector machine, the random forest and XGBoost (eXtreme Gradient Boosting), were trained on 80% of the data-set and tested on 20% to evaluate predictive accuracy, precision, F1 score, log-loss and area under the receiver operating characteristic curve (AUC-ROC).

Some 20.4% of participants experienced at least one common mental illness. Feature importance analysis identified house type, age group and educational status as the most significant predictors. SHAP (Shapley Additive exPlanations) values highlighted their influence on model outputs, and the XGBoost gain metric confirmed the importance of marital status and house type, with gains of 0.76 and 0.73, respectively. XGBoost delivered the best performance, achieving an F1 score of 71.01%, precision of 71.58%, accuracy of 71.15% and the lowest log-loss value of 0.56. The random forest had an accuracy of 78.21% and an AUC-ROC of 0.90.

The findings of this study suggest targeted interventions addressing housing and social determinants could improve mental health outcomes in similar rural settings. Further studies should consider longitudinal data to explore causal relationships.