Exposure to maternal mental illness during foetal development may lead to altered development, resulting in permanent changes in offspring functioning.

To assess whether there is an association between prenatal maternal psychiatric disorders and offspring behavioural problems in early childhood, using linked health administrative data and the Australian Early Development Census from New South Wales, Australia.

The sample included all mother–child pairs of children who commenced full-time school in 2009 in New South Wales, and met the inclusion criteria (N = 69 165). Univariable logistic regression analysis assessed unadjusted associations between categories of maternal prenatal psychiatric disorders with indicators of offspring behavioural problems. Multivariable logistic regression adjusted the associations of interest for psychiatric categories and a priori selected covariates. Sensitivity analyses included adjusting the final model for primary psychiatric diagnoses and assessing association of interest for effect modification by child's biological gender.

Children exposed in the prenatal period to maternal psychiatric disorders had greater odds of being developmentally vulnerable in their first year of school. Children exposed to maternal anxiety disorders prenatally had the greatest odds for behavioural problems (adjusted odds ratio 1.98; 95% CI 1.43–2.69). A statistically significant interaction was found between child biological gender and prenatal hospital admissions for substance use disorders, for emotional subdomains, aggression and hyperactivity/inattention.

Children exposed to prenatal maternal mental illness had greater odds for behavioural problems, independent of postnatal exposure. Those exposed to prenatal maternal anxiety were at greatest risk, highlighting the need for targeted interventions for, and support of, families with mental illness.

The school–vacation cycle may have impacts on the psychological states of adolescents. However, little evidence illustrates how transition from school to vacation impacts students’ psychological states (e.g. depression and anxiety).

To explore the changing patterns of depression and anxiety symptoms among adolescent students within a school–vacation transition and to provide insights for prevention or intervention targets.

Social demographic data and depression and anxiety symptoms were measured from 1380 adolescent students during the school year (age: 13.8 ± 0.88) and 1100 students during the summer vacation (age: 14.2 ± 0.93) in China. Multilevel mixed-effect models were used to examine the changes in depression and anxiety levels and the associated influencing factors. Network analysis was used to explore the symptom network structures of depression and anxiety during school and vacation.

Depression and anxiety symptoms significantly decreased during the vacation compared to the school period. Being female, higher age and with lower mother's educational level were identified as longitudinal risk factors. Interaction effects were found between group (school versus vacation) and the father's educational level as well as grade. Network analyses demonstrated that the anxiety symptoms, including ‘Nervous’, ‘Control worry’ and ‘Relax’ were the most central symptoms at both times. Psychomotor disturbance, including ‘Restless’, ‘Nervous’ and ‘Motor’, bridged depression and anxiety symptoms. The central and bridge symptoms showed variation across the school vacation.

The school–vacation transition had an impact on students’ depression and anxiety symptoms. Prevention and intervention strategies for adolescents’ depression and anxiety during school and vacation periods should be differentially developed.

Although dementia is a terminal condition, palliation can be a challenge for clinical services. As dementia progresses, people frequently develop behavioural and psychological symptoms, sometimes so severe they require care in specialist dementia mental health wards. Although these are often a marker of late disease, there has been little research on the mortality of people admitted to these wards.

We sought to describe the mortality of this group, both on-ward and after discharge, and to investigate clinical features predicting 1-year mortality.

First, we conducted a retrospective analysis of 576 people with dementia admitted to the Cambridgeshire and Peterborough National Health Service (NHS) Foundation Trust dementia wards over an 8-year period. We attempted to identify predictors of mortality and build predictive machine learning models. To investigate deaths occurring during admission, we conducted a second analysis as a retrospective service evaluation involving mental health wards for people with dementia at four NHS trusts, including 1976 admissions over 7 years.

Survival following admission showed high variability, with a median of 1201 days (3.3 years). We were not able to accurately predict those at high risk of death from clinical data. We found that on-ward mortality remains rare but had increased from 3 deaths per year in 2013 to 13 in 2019.

We suggest that arrangements to ensure effective palliation are available on all such wards. It is not clear where discussions around end-of-life care are best placed in the dementia pathway, but we suggest it should be considered at admission.

There is an urgent need to understand explanatory factors of poor mental health before (pre-) and during (peri-) the COVID-19 pandemic in university students, especially those from underrepresented and minority groups.

To examine potential differences and explanatory factors for psychological distress, clinical risk and impact of problems on academic outcomes pre- and peri-pandemic in university students.

A repeated cross-sectional design was used with routine data between August 2018 and July 2022 at the registration stage from a student counselling and mental health service at a UK university. Wilcoxon signed-rank tests were used to examine pre- and peri-pandemic differences in outcomes. Unadjusted and adjusted linear regression models were conducted to assess potential explanatory factors for poor outcomes.

A total of 9517 university students had completed sociodemographic and outcome data and were included in analysis. Psychological distress and impact of problems on academic outcomes were not significantly different between pre- and peri-pandemic groups. Clinical risk was significantly higher in the pre-pandemic than peri-pandemic group. Potential explanatory factors for poorer outcomes included being younger, female or non-binary/genderqueer, sexual minority, from a minority ethnic group, having home fee status and having a disability registration.

Poor student mental health profiles and related explanatory factors may not have changed drastically between pre- and peri-pandemic. Longitudinal methods and intersectional approaches should be used in future research. Further understanding of how universities and student mental health services can most efficiently and effectively support the mental health of university students is crucially warranted.

Depression is prevalent among patients with congestive heart failure (CHF) and is associated with increased mortality and healthcare use. However, most research on this association has focused on high-income countries, leaving a gap in knowledge regarding the relationship between depression and CHF in low-to-middle-income countries.

To identify changes in depressive symptoms and potential risk factors for poor outcomes among CHF patients.

Longitudinal data from 783 patients with CHF from public hospitals in Karachi, Pakistan, were analysed. Depressive symptom severity was assessed using the Beck Depression Inventory. Baseline and 6-month follow-up Beck Depression Inventory scores were clustered using Gaussian mixture modelling to identify separate depressive symptom subgroups and extract trajectory labels. Further, a random forest algorithm was used to determine baseline demographic, clinical and behavioural predictors for each trajectory.

Four separate patterns of depressive symptom changes were identified: ‘good prognosis’, ‘remitting course’, ‘clinical worsening’ and ‘persistent course’. Key factors related to these classifications included behavioural and functional factors such as quality of life and disability, as well as the clinical severity of CHF. Specifically, poorer quality of life and New York Heart Association (NYHA) class 3 symptoms were linked to persistent depressive symptoms, whereas patients with less disability and without NYHA class 3 symptoms were more likely to exhibit a good prognosis.

By examining the progression of depressive symptoms, clinicians can better understand the factors influencing symptom development in patients with CHF and identify those who may require closer monitoring and appropriate follow-up care.

Co-occurring self-harm and aggression (dual harm) is particularly prevalent among forensic mental health service (FMHS) patients. There is limited understanding of why this population engages in dual harm.

This work aims to explore FMHS patients’ experiences of dual harm and how they make sense of this behaviour, with a focus on the role of emotions.

Participants were identified from their participation in a previous study. Sixteen FMHS patients with a lifetime history of dual harm were recruited from two hospitals. Individuals participated in one-to-one, semi-structured interviews where they reflected on past and/or current self-harm and aggression. Interview transcripts were analysed using reflexive thematic analysis.

Six themes were generated: self-harm and aggression as emotional regulation strategies, the consequences of witnessing harmful behaviours, relationships with others and the self, trapped within the criminal justice system, the convergence and divergence of self-harm and aggression, and moving forward as an FMHS patient. Themes highlighted shared risk factors of dual harm across participants, including emotional dysregulation, perceived lack of social support and witnessing harmful behaviours. Participants underlined the duality of their self-harm and aggression, primarily utilising both to regulate negative emotions. These behaviours also fulfilled distinct purposes at times (e.g. self-harm as punishment, aggression as defence). The impact of contextual factors within FMHSs, including restrictive practices and institutionalisation, were emphasised.

Findings provide recommendations that can help address dual harm within forensic settings, including (a) transdiagnostic, individualised approaches that consider the duality of self-harm and aggression; and (b) cultural and organisational focus on recovery-centred practice.

Knowledge on efficient approaches to the provision of post-disaster psychosocial care is urgently needed. To prevent unmet healthcare needs, proactive follow-up by municipal contact persons was recommended for survivors of the Utøya youth camp attack in Norway.

To examine characteristics of the survivors by whether or not they had a contact person in the early (0–5 months), intermediary (5–15 months) and long-term (20–32 months) aftermath of the attack, and to describe the survivors’ experiences with the contact person.

We analysed data from three waves of interviews with survivors conducted 4–5, 14–15 and 30–32 months after the attack, as well as register-based data on the use of mental health services from 3 years before until 3 years after the attack.

Survivors with a contact person early post-attack were less likely to receive care from mental health services concurrently or to have anxiety/depression symptoms subsequently compared with survivors without a contact person in the same period. Survivors with a contact person in the intermediary aftermath were more satisfied with the overall help they received, but also more likely to have long-term anxiety/depression symptoms. Survivors with a contact person in the long term were more likely to be financially disadvantaged. Approximately half of the survivors with a contact person found this highly or very highly useful, whereas one-third found it of little use or not at all useful.

The proactive outreach reached survivors across sociodemographic characteristics during the recommended first year of follow-up, which could be conducive to prevention of unmet healthcare needs. Still, there was considerable variation in the perceived usefulness and duration of the follow-up.

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.

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.

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.

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.

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.

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.

In individuals with severe mental illness (SMI), low muscle strength heightens the risk of mortality and chronic disease development. Routine muscle strength assessments could identify vulnerabilities, thereby reducing the growing burden associated with SMI. However, integration into clinical settings faces obstacles because of limited resources and inadequate healthcare staff training. The 5 sit-to-stand (5-STS) test offers an alternative for measuring muscle strength compared with more complex or demanding tests. Nevertheless, its validity in individuals with SMI remains unexplored.

This study aimed to analyse the criterion validity of the 5-STS test in SMI, considering potential age, gender and body mass index influences.

In a cross-sectional study following the ‘STrengthening the Reporting of OBservational studies in Epidemiology’ (STROBE) guidelines, 82 adults with SMI (aged 18–65, 24 women) were assessed. Participants underwent both the 5-STS test and the isometric knee extension strength (KES) test.

Analysis revealed a significant moderate correlation coefficient and intraclass correlation coefficient (−0.58 for both) for all participants, indicating that the measures are valid and assess related aspects of the same construct. Strong agreement was observed in women and the older age groups. The 5-STS test demonstrated accuracy, with a standard error of estimate lower than the within-subject variability on the KES test. Bland–Altman plots showed limits of agreement values of −3.39 and 3.52 for the entire sample, and heteroscedasticity analyses indicated consistent differences between the 5-STS and KES tests across all groups analysed, except in the women's group.

The 5-STS test seems to be a valid test for assessing muscle strength in individuals with SMI, supporting its usefulness for routine assessment in clinical settings, facilitating detection and intervention in critical situations.

Mood and anxiety disorders co-occur and share symptoms, treatments and genetic risk, but it is unclear whether combining them into a single phenotype would better capture genetic variation. The contribution of common genetic variation to these disorders has been investigated using a range of measures; however, the differences in their ability to capture variation remain unclear, while the impact of rare variation is mostly unexplored.

We aimed to explore the contributions of common genetic variation and copy number variations associated with risk of psychiatric morbidity (P-CNVs) to different measures of internalising disorders.

We investigated eight definitions of mood and anxiety disorder, and a combined internalising disorder, derived from self-report questionnaires, diagnostic assessments and electronic healthcare records (EHRs). Association of these definitions with polygenic risk scores (PRSs) of major depressive disorder and anxiety disorder, as well as presence of a P-CNV, was assessed.

The effect sizes of both PRSs and P-CNVs were similar for mood and anxiety disorder. Compared to mood and anxiety disorder, internalising disorder resulted in higher prediction accuracy for PRSs, and increased significance of associations with P-CNVs for most definitions. Comparison across the eight definitions showed that PRSs had higher prediction accuracy and effect sizes for stricter definitions, whereas P-CNVs were more strongly associated with EHR- and self-report-based definitions.

Future studies may benefit from using a combined internalising disorder phenotype, and may need to consider that different phenotype definitions may be more informative depending on whether common or rare variation is studied.

British South Asians have a greater incidence of psychotic illness, which is associated with cognitive deficits. Computerised cognitive remediation aims to improve cognition.

We aimed to culturally adapt computerised cognitive remediation for British South Asians with first-episode psychosis, and assess its feasibility.

Qualitative interviews were analysed using thematic analysis to guide cultural adaptation of cognitive remediation, followed by a case series to determine feasibility. Our sample comprised 20 participants: ten in the qualitative interviews and ten in the feasibility evaluation. The sample was generated via purposive sampling from early intervention services in England, and was an entirely Muslim cohort, who were mainly Pakistani and born in the UK. Our intervention was computerised interactive remediation of cognition training for schizophrenia (CIRCuiTS), which was culturally adapted based on formative qualitative interviews and using an established framework. Participants engaged with 40 h of tasks over 12 weeks, with the aim of improving attention, memory and executive functioning. Feasibility was explored by assessing acceptability, engagement and retention in the study, and a range of measures were used to assess impact on cognition and mental state.

The cultural adaptation of CIRCuiTS was found to be acceptable, with high levels of engagement and satisfaction. Despite the small sample, the intervention led to improved cognition and mental state.

This is the first study to culturally adapt computerised cognitive remediation for British South Asians who are Muslim, and it had high acceptability with good retention, engagement and satisfaction. Future effectiveness testing is recommended.