Previous research showed that behavioural activation is as effective as cognitive–behavioural therapy for general depression. However, it remains unclear if it leads to greater improvement in depressive symptoms when compared with standard treatment for post-stroke depression.

To compare the effectiveness of behavioural activation against control conditions in reducing depression symptoms in individuals with post-stroke depression.

This review searched five databases from inception until 13 July 2021 (updated 15 September 2023) for randomised controlled trials comparing behavioural activation and any control conditions for post-stroke depression. Risk of bias was assessed with the Cochrane Collaboration's Risk-of-Bias 2 tool. The primary outcome was improvement in depressive symptoms in individuals with post-stroke depression. We calculated a random-effects, inverse variance weighting meta-analysis.

Of 922 initial studies, five randomised controlled trials with 425 participants met the inclusion criteria. Meta-analysis showed that behavioural activation was associated with reduced depressive symptoms in individuals with post-stroke depression at 6-month follow-up (Hedges’ g −0.39; 95% CI −0.64 to −0.14). The risk of bias was low for two (40%) of five trials, and the remaining three (60%) trials were rated as having a high risk of bias. Heterogeneity was low, with no indication of inconsistency.

Evidence from this review was too little to confirm the effectiveness of behavioural activation as a useful treatment for post-stroke depression when compared with control conditions. Further high-quality studies are needed to conclusively establish the efficacy of behavioural activation as a treatment option for post-stroke depression.

Several studies have examined the impact of leadership on employee well-being and health. However, this research has focused on a variable-centred approach. By contrast, the present study adopts a person-centred approach.

To (a) identify latent ‘resources’ profiles among two samples combining vigour at work, work engagement and physical activity levels; (b) examine the link between the identified profiles and indicators of psychological/physical health; and (c) test whether different levels of transformational leadership determine the probability of belonging to a particular profile.

Two samples of workers, S1 and S2 (NS1 = 354; NS2 = 158), completed a cross-sectional survey before their annual medical examination.

For S1, the results of latent profile analysis yielded three profiles: spiritless, spirited and high-spirited. Both high-spirited and spirited profiles showed a positive relationship with mental health, whereas spiritless showed a negative relationship. For S2, two profiles (spirited and spiritless) were replicated, with similar effects on mental health, but none of them was related to total cholesterol. In both samples, transformational leadership determined the probability of belonging to a particular profile.

Transformational leadership increased the probability of belonging to a more positive profile and, therefore, to better workers’ health.

Antipsychotic-induced weight gain (AIWG) is a substantial contributor to high obesity rates in psychiatry. Limited management guidance exists to inform clinical practice, and individuals with experience of managing AIWG have had no or minimal input into its development. A lack of empirical research outlining patient values and preferences for management also exists. Recommendations addressing weight management in psychiatry may be distinctly susceptible to ideology and sociocultural values regarding intervention appropriateness and expectations of self-management, reinforcing the need for co-produced management guidance. This study is the first to ask: how do individuals conceptualise preferred AIWG management and how can this be realised in practice?

1. Explore the management experiences of individuals with unwanted AIWG. 2. Elicit their values and preferences regarding preferred management.

Qualitative descriptive methodology informed study design. A total of 17 participants took part in semi-structured interviews. Data analysis was undertaken using reflexive thematic analysis.

Participants reported that clinicians largely overestimated AIWG manageability using dietary and lifestyle changes. They also reported difficulties accessing alternative management interventions, including a change in antipsychotic and/or pharmacological adjuncts. Participants reported current management guidance is oversimplified, lacks the specificity and scope required, and endorses a ‘one-size-fits-all’ management approach to an extensively heterogenous side-effect. Participants expressed a preference for collaborative AIWG management and guidance that prioritises early intervention using the range of evidence-based management interventions, tailored according to AIWG risk, participant ability and participant preference.

Integration of this research into guideline development will help ensure recommendations are relevant and applicable, and that individual preferences are represented.

Bipolar disorder is highly prevalent and consists of biphasic recurrent mood episodes of mania and depression, which translate into altered mood, sleep and activity alongside their physiological expressions.

The IdenTifying dIgital bioMarkers of illnEss activity and treatment response in BipolAr diSordEr with a novel wearable device (TIMEBASE) project aims to identify digital biomarkers of illness activity and treatment response in bipolar disorder.

We designed a longitudinal observational study including 84 individuals. Group A comprises people with acute episode of mania (n = 12), depression (n = 12 with bipolar disorder and n = 12 with major depressive disorder (MDD)) and bipolar disorder with mixed features (n = 12). Physiological data will be recorded during 48 h with a research-grade wearable (Empatica E4) across four consecutive time points (acute, response, remission and episode recovery). Group B comprises 12 people with euthymic bipolar disorder and 12 with MDD, and group C comprises 12 healthy controls who will be recorded cross-sectionally. Psychopathological symptoms, disease severity, functioning and physical activity will be assessed with standardised psychometric scales. Physiological data will include acceleration, temperature, blood volume pulse, heart rate and electrodermal activity. Machine learning models will be developed to link physiological data to illness activity and treatment response. Generalisation performance will be tested in data from unseen patients.

Recruitment is ongoing.

This project should contribute to understanding the pathophysiology of affective disorders. The potential digital biomarkers of illness activity and treatment response in bipolar disorder could be implemented in a real-world clinical setting for clinical monitoring and identification of prodromal symptoms. This would allow early intervention and prevention of affective relapses, as well as personalisation of treatment.

Empathy refers to the cognitive and emotional reactions of an individual to the experiences of another. Women with premenstrual dysphoric disorder (PMDD) report severe social difficulties during the luteal phase of their menstrual cycle.

This clinical and functional magnetic resonance imaging study aimed to explore affective and cognitive empathy in women with PMDD, during the highly symptomatic luteal phase.

Overall, 32 women with PMDD and 20 healthy controls participated in the study. The neuroimaging data were collected using a highly empathy-engaging movie. First, we characterised the synchrony of neural responses within PMDD and healthy groups, using the inter-individual correlation approach. Next, using network cohesion analysis, we compared connectivity within and between brain networks associated with affective and cognitive empathy between groups, and assessed the association of these network patterns with empathic measures.

A consistent, although complex, picture of empathy abnormalities was found. Patients with PMDD showed decreased neural synchrony in parietal and frontal key nodes of cognitive empathy processing (theory-of-mind network), but higher neural synchrony in the anterior insula and anterior cingulate cortex, a part of the salience network, implicated in affective empathy. Positive correlations between cognitive perspective-taking scores and neural synchrony were found within the theory-of-mind network. Interestingly, during highly emotional moments, the PMDD group showed increased functional connectivity within this network.

Similar to major depression, individuals with PMDD show enhanced affective empathy and reduced cognitive empathy. These findings echo clinical observations reported when women with PMDD have a dysregulated emotional response to negative stimuli.

Only a third of people with dementia receive a diagnosis and post-diagnostic support. An eight session, manualised, modular post-diagnostic support system (New Interventions for Independence in Dementia Study (NIDUS) – family), delivered remotely by non-clinical facilitators is the first scalable intervention to improve personalised goal attainment for people with dementia. It could significantly improve care quality.

We aimed to explore system readiness for NIDUS–family, a scalable, personalised post-diagnostic support intervention.

We conducted semi-structured interviews with professionals from dementia care services; the Consolidated Framework for Implementation Research guided interviews and their thematic analysis.

From 2022 to 2023, we interviewed a purposive sample of 21 professionals from seven English National Health Service, health and social care services. We identified three themes: (1) potential value of a personalised intervention – interviewees perceived the capacity for choice and supporting person-centred care as relative advantages over existing resources; (2) compatibility and deliverability with existing systems – the NIDUS–family intervention model was perceived as compatible with service goals and clients’ needs, but current service infrastructures, financing and commissioning briefs constraining resources to those at greatest need were seen as barriers to providing universal, post-diagnostic care; (3) fit with current workforce skills – the intervention model aligned well with staff development plans; delivery by non-clinically qualified staff was considered an advantage over current care options.

Translating evidence for scalable and effective post-diagnostic care into practice will support national policies to widen access to support and upskill support workers, but requires a greater focus on prevention in commissioning briefs and resource planning.

Depressive disorders in adolescents affect all aspects of life and impose a very large burden of disease. Sleep is frequently affected by depression and is crucial for facing challenges during development. One of the postulated reasons for depression-induced sleep disruption is dysregulation of the physiological stress system.

To investigate the links of adolescent depressive disorders with subjective sleep quality, objective sleep quality, and the course of cortisol and alpha-amylase after awakening.

We compared subjective sleep quality (via daily questionnaires) and objective sleep quality (via actigraphy measurement) of 35 adolescents with depressive disorders and 29 healthy controls over 7 consecutive days. In addition, saliva samples were collected on 3 days to examine cortisol and alpha-amylase patterns after awakening.

No significant differences in cortisol or alpha-amylase awakening responses were observed between participants with depressive disorders and healthy controls. We found severe reductions in subjective sleep quality in the depression group (Z = −5.19, P < 0.001, d = 1.80) and a prolonged actigraphy-measured sleep onset latency (Z = −2.42, P = 0.015, d = 0.64) compared with controls. Reductions in subjective sleep quality were partially correlated with objective sleep measures (sleep onset latency: r = −0.270, P = 0.004, sleep efficiency: r = 0.215, P = 0.017).

Sleep onset latency seems to aggravate depressive symptoms and to have an important role in perception of sleep quality. Adolescents with depressive disorders should be supported regarding the establishment of good sleep hygiene and avoiding activities that may impede falling asleep.

Physician-assisted suicide (PAS) is typically associated with serious physical illnesses that are prevalent in palliative care. However, individuals with mental illnesses may also experience such severity that life becomes intolerable. In February 2020, the previous German law prohibiting PAS was repealed. Patients with severe mental illnesses are increasingly likely to approach physicians with requests for PAS.

To explore the ethical and moral perspectives of medical students and physicians when making individual decisions regarding PAS.

An anonymised digital survey was conducted among medical students and physicians in Germany. Participants were presented with a case vignette of a chronically depressed patient requesting PAS. Participants decided on PAS provision and assessed theoretical arguments. We employed generalised ordinal regression and qualitative analysis for data interpretation.

A total of N = 1478 participants completed the survey. Of these, n = 470 (32%) stated that they would refuse the request, whereas n = 582 (39%) would probably refuse, n = 375 (25%) would probably agree and n = 57 (4%) would definitely agree. Patient-centred arguments such as the right to self-determination increased the likelihood of consent. Concerns that PAS for chronically depressed patients might erode trust in the medical profession resulted in a decreased willingness to provide PAS.

Participants displayed relatively low willingness to consider PAS in the case of a chronically depressed patient. This study highlights the substantial influence of theoretical medical-ethical arguments and the broader public discourse, underscoring the necessity of an ethical discussion on PAS for mental illnesses.

Neuroimaging studies suggest alterations in prefrontal cortex (PFC) activity in healthy adults under stress. Adolescents with non-suicidal self-injury (NSSI) report difficulties in stress and emotion regulation, which may be dependent on their level of borderline personality disorder (BPD).

The aim was to examine alterations in the PFC in adolescents with NSSI during stress.

Adolescents (13–17 years) engaging in non-suicidal self-injury (n = 30) and matched healthy controls (n = 29) performed a task with low cognitive demand and the Trier Social Stress Test (TSST). Mean PFC oxygenation across the PFC was measured with an eight-channel near-infrared spectroscopy system. Alongside self-reports on affect, dissociation and stress, BPD pathology was assessed via clinical interviews.

Mixed linear-effect models revealed a significant effect of time on PFC oxygenation and a significant time×group interaction, indicating increased PFC activity in patients engaging in NSSI at the beginning of the TSST compared with healthy controls. Greater BPD symptoms overall were associated with an increase in PFC oxygenation during stress. In exploratory analyses, mixed models addressing changes in PFC connectivity over time as a function of BPD symptoms were significant only for the left PFC.

Results indicate differences in the neural stress response in adolescents with NSSI in line with classic neuroimaging findings in adults with BPD. The link between PFC oxygenation and measures of BPD symptoms emphasises the need to further investigate adolescent risk-taking and self-harm across the spectrum of BPD, and maybe overall personality pathology, and could aid in the development of tailored therapeutic interventions.

Medication, combined with environmental and psychosocial support, can mitigate adverse outcomes in attention-deficit hyperactivity disorder (ADHD). There is a need for research into regional and national prescription volumes and patterns, especially among adults.

This study analysed prescribing patterns for medications commonly used to treat ADHD in adolescents and adults.

Data was extracted from the NHS Scotland Prescribing Information System on prescriptions for 7806 adolescents (aged 10–19 years) and 4998 adults (aged 20–59 years) in 2019. This included medications listed under Section 4.4 of the British National Formulary. We explored 2019 prescription patterns across different regions and estimated ADHD prevalence levels. Additionally, we assessed changes in dispensed prescriptions, defined daily dose and costs, compared with figures from 2010.

Between 2010 and 2019, prescriptions for ADHD medications increased (dispensed prescriptions +233.2%, defined daily dose +234.9%, cost +216.6%). Despite these increases, analysis indicated that in 2019, considering a 5% estimated ADHD prevalence among adolescents, 73% were not prescribed medication, increasing to 81% at a 7% estimated prevalence. Similarly, among adults with a 2% estimated prevalence, 91% were not prescribed medication, rising to 96% at a 4% estimated prevalence. Regional disparities were evident, with 41–96% of adolescents and 85–100% of adults, based on ADHD prevalence estimates, not receiving a prescription, depending on area.

Although prescription rates for ADHD medication have increased over time, the data do not indicate excessive use of medication. Instead, they suggest that for some groups there is a lower use of medication compared with expected prevalence figures, especially among adults.

Exposure to second-generation antipsychotics (SGAs) carries a risk of type 2 diabetes, but questions remain about the diabetogenic effects of SGAs.

To assess the diabetes risk associated with two frequently used SGAs.

This was a retrospective cohort study of adults with schizophrenia, bipolar I disorder or severe major depressive disorder (MDD) exposed during 2008–2013 to continuous monotherapy with aripiprazole or olanzapine for up to 24 months, with no pre-period exposure to other antipsychotics. Newly diagnosed type 2 diabetes was quantified with targeted minimum loss-based estimation; risk was summarised as the restricted mean survival time (RMST), the average number of diabetes-free months. Sensitivity analyses were used to evaluate potential confounding by indication.

Aripiprazole-treated patients had fewer diabetes-free months compared with olanzapine-treated patients. RMSTs were longer in olanzapine-treated patients, by 0.25 months [95% CI: 0.14, 0.36], 0.16 months [0.02, 0.31] and 0.22 months [0.01, 0.44] among patients with schizophrenia, bipolar I disorder and severe MDD, respectively. Although some sensitivity analyses suggest a risk of unobserved confounding, E-values indicate that this risk is not severe.

Using robust methods and accounting for exposure duration effects, we found a slightly higher risk of type 2 diabetes associated with aripiprazole compared with olanzapine monotherapy regardless of diagnosis. If this result was subject to unmeasured selection despite our methods, it would suggest clinician success in identifying olanzapine candidates with low diabetes risk. Confirmatory research is needed, but this insight suggests a potentially larger role for olanzapine in the treatment of well-selected patients, particularly for those with schizophrenia, given the drug's effectiveness advantage among them.

The Mini-Mental State Examination (MMSE) is a composite scale that is included in diagnostic algorithms and in procedures to assess severity of cognitive impairment and efficacy of therapeutic interventions. It is unclear, however, whether the MMSE provides information about the same deficits in different diseases.

To assess patterns of MMSE scores in patients with confirmed diagnosis of Alzheimer's disease or depressive disorder.

We used data from a previously published cross-sectional retrospective observational clinical cohort study. The final analysis included only patients in whom biomarker analysis showed results characteristic of Alzheimer's disease (n = 167) and patients with depressive disorder in whom Alzheimer's disease had been ruled out by analysis of biomarkers (n = 69).

A three-point decline in MMSE score from 30 to 27 reflected impairment of memory recall in patients with Alzheimer's disease, whereas it reflected impairments in calculation and memory recall in patients with depressive disorder. A further three-point decline in MMSE score from 27 to 24 predominantly reflected additional calculation impairment in patients with Alzheimer's disease.

Our results indicate that memory performance is the most important measure of disease severity and the main contributor to the decline in MMSE score at onset of clinical manifestation of Alzheimer's disease. In general, this suggests that memory should be the primary measure used in routine clinical care and the primary endpoint in clinical trials involving patients with Alzheimer's disease at onset of clinical manifestation. Changes in other measures of cognition should prompt consideration of possible comorbidities as a cause, rather than the impact of Alzheimer's disease itself.

Developmental trauma increases psychosis risk and is associated with poor prognosis. It has been proposed that psychosis in survivors of developmental trauma gives rise to a distinct ‘traumatogenic’ phenotype.

Given the implications for personalised treatment, we sought to explore the traumatogenic psychosis phenotype hypothesis in a systematic review and meta-analysis of studies comparing psychotic presentations between adults with and without developmental trauma histories.

We registered the systematic review on PROSPERO (CRD42019131245) and systematically searched EMBASE, Medline and PsycINFO. The outcomes of interests were quantitative and qualitative comparisons in psychotic symptom expression (positive, negative, cognitive) and other domains of psychopathology, including affect regulation, sleep, depression and anxiety, between adults with and without experience of developmental trauma.

Of 34 studies included (N = 13 150), 11 were meta-analysed (n = 2842). A significant relationship was found between developmental trauma and increased symptom severity for positive (Hedge's g = 0.27; 95% CI 0.10–0.44; P = 0.002), but not negative symptoms (Hedge's g = 0.13; 95% CI −0.04 to 0.30; P = 0.14). Developmental trauma was associated with greater neurocognitive, specifically executive, deficits, as well as poorer affect, dissociation and social cognition. Furthermore, psychotic symptom content thematically related to traumatic memories in survivors of developmental trauma.

Our findings that developmental trauma is associated with more severe positive and affective symptoms, and qualitative differences in symptom expression, support the notion that there may be a traumatogenic psychosis phenotype. However, underdiagnosis of post-traumatic stress disorder may also explain some of these findings. More research is needed to explore this further.

The physical health comorbidities and premature mortality experienced by people with mental illness has led to an increase in exercise services embedded as part of standard care in hospital-based mental health services. Despite the increase in access to exercise services for people experiencing mental illness, there is currently a lack of guidelines on the assessment and triage of patients into exercise therapy.

To develop guidelines for the pre-exercise screening and health assessment of patients engaged with exercise services in hospital-based mental healthcare and to establish an exercise therapy triage framework for use in hospital-based mental healthcare.

A Delphi technique consisting of two online surveys and two rounds of focus group discussions was used to gain consensus from a multidisciplinary panel of experts.

Consensus was reached on aspects of pre-exercise health screening, health domain assessment, assessment tools representing high-value clinical assessment, and the creation and proposed utilisation of an exercise therapy triage framework within exercise therapy.

This study is the first of its kind to provide guidance on the implementation of exercise therapy within Australian hospital-based mental healthcare. The results provide recommendations for appropriate health assessment and screening of patients in exercise therapy, and provide guidance on the implementation and triage of patients into exercise therapy via a stepped framework to determine (a) the timeliness of exercise therapy required and (b) the level of support required in the delivery of their exercise therapy.

Specialist forensic community teams for people with intellectual disability and/or autism have been developed, but little is known about their extent and delivery.

To describe specialist forensic community teams for people with intellectual disability and/or autism across the UK.

An online survey was sent to representatives of each UK Trust/Health Board providing adult mental health and/or intellectual disability services. Questions covered the availability, structure and activities of specialist community forensic services. Quantitative data were summarised and associations between access to specialist forensic teams and care were tested with Chi-squared tests. Thematic analysis of free-text survey responses was used to understand the challenges of providing community forensic mental health services for this group.

A total of 49 out of 78 (63%) eligible Trusts/Health Boards responded, of which 25 (51%) had access to a specialist forensic community team. Teams operated either as part of a single Trust/Board (n = 13) or over a larger regional footprint (n = 12). The availability of specialist forensic community teams was associated with better access to offence-related interventions (χ2 = 15.1002, P < 0.005) and co-production of patient care plans (χ2 = 7.8726, P = 0.005). Respondents reported a wide variation in availability, expertise and perceived quality of community services. The availability of secure and generic in-patient beds, commissioning and legal barriers were also significant challenges in providing appropriate care.

Coverage of specialist community forensic teams is not universal. There are indications that such teams are associated with improved care processes, but further work is needed to establish longer-term outcomes and the optimal model of care.

Poor air quality can both trigger and aggravate lung and heart conditions, as well as affecting child development. It can even lead to neurological and mental health problems. However, the precise mechanisms by which air pollution affect human health are not well understood.

To promote interdisciplinary dialogue and better research based on a critical summary of evidence on air quality and health, with an emphasis on mental health, and to do so with a special focus on bioaerosols as a common but neglected air constituent.

A rapid narrative review and interdisciplinary expert consultation, as is recommended for a complex and rapidly changing field of research.

The research methods used to assess exposures and outcomes vary across different fields of study, resulting in a disconnect in bioaerosol and health research. We make recommendations to enhance the evidence base by standardising measures of exposure to both particulate matter in general and bioaerosols specifically. We present methods for assessing mental health and ideal designs. There is less research on bioaerosols, and we provide specific ways of measuring exposure to these. We suggest research designs for investigating causal mechanisms as important intermediate steps before undertaking larger-scale and definitive studies.

We propose methods for exposure and outcome measurement, as well as optimal research designs to inform the development of standards for undertaking and reporting research and for future policy.

Personal independence payment (PIP) is a benefit that covers additional daily living costs people may incur from a long-term health condition or disability. Little is known about PIP receipt and associated factors among people who access mental health services, and trends over time. Individual-level data linking healthcare records with administrative records on benefits receipt have been non-existent in the UK.

To explore how PIP receipt varies over time, including PIP type, and its association with sociodemographic and diagnostic patient characteristics among people who access mental health services.

A data-set was established by linking electronic mental health records from the South London and Maudsley NHS Foundation Trust with administrative records from the Department for Work and Pensions.

Of 143 714 working-age patients, 37 120 (25.8%) had received PIP between 2013 and 2019, with PIP receipt steadily increasing over time. Two in three patients (63.2%) had received both the daily living and mobility component. PIP receipt increased with age. Those in more deprived areas were more likely to receive PIP. The likelihood of PIP receipt varied by ethnicity. Patients diagnosed with a severe mental illness had 1.48 odds (95% CI 1.42–1.53) of having received PIP, compared with those with a different psychiatric diagnosis.

One in four people who accessed mental health services had received PIP, with higher levels seen among those most likely in need, as indicated by a severe mental illness diagnosis. Future research using this data-set could explore the average duration of PIP receipt in people who access mental health services, and re-assessment patterns by psychiatric diagnosis.