Bipolar disorder, a chronic mental health condition characterised by fluctuations in mood, energy and functionality, affects millions of individuals worldwide. Its management requires a comprehensive approach, and, as such, treatment guidelines have a pivotal role in guiding clinicians to alleviate symptoms, prevent relapse and enhance overall patient well-being. However, the treatment landscape is far from homogenous, with significant variations existing across different countries.

This study aimed to explore and compare treatment guidelines for bipolar disorder in various regions, shedding light on the factors that influence therapeutic approaches and thus offering insights that could contribute to the ongoing refinement of evidence-based practices in management.

The study explores various international treatment guidelines for bipolar disorder that have been updated after 2014. Guidelines from the UK, Canada, Australia/New Zealand, South Korea and the International College of Neuropsychopharmacology are scrutinised to identify factors contributing to the observed differences among them.

The variations in recommended drugs across guidelines arise from the approaches employed in guideline development – whether relying on expert consensus or meta-analysis results. Timing disparities in conducting these analyses and the selection of studies also exert influence. Moreover, differences in metabolic enzymes among diverse races and the health policies implemented by individual nations play a significant part in shaping these differences.

The primary hindrance to consistent treatment conclusions lies in the scarcity of high-quality research results, leading to variations in guidelines. Enhancing evidence-based recommendations necessitates the undertaking of large-scale studies dedicated to assessing treatments for bipolar disorder.

As people age, survival after a heart attack can affect their quality of life and lead to a decrease in life satisfaction. After a myocardial infarction, elderly patients may experience physical, psychological, emotional and social changes that affect their thoughts and behaviour in relation to spirituality.

To investigate the relationship between spiritual well-being and other sociodemographic and medical history-related factors on quality of life and life satisfaction among elderly people after myocardial infarction.

In a census-based cross-sectional study conducted at the Imam Reza Hospital in Amol, Iran, from May 2020 to May 2021, data on sociodemographics, medical history, subjective well-being, life satisfaction and quality of life were collected from 502 participants who were referred at the heart clinic.

The findings showed that spiritual well-being dimensions (religious well-being, [self-assessment of one's relationship with God], and existential well-being, [self-assessment of one's sense of purpose in life and life satisfaction]) were not significantly associated with life satisfaction, but a high perception of both dimensions of spiritual well-being were associated with higher self-reported quality of life. A history of past-year hospital admission and cardiopulmonary resuscitation were significant predictors of life satisfaction, and educational level was a predictor of quality of life.

The study found no significant association between spiritual well-being and life satisfaction among elderly people following myocardial infarction. This finding might have been influenced by the physical and emotional challenges experienced by the participants during the COVID-19 pandemic. Further studies are needed to confirm this relationship.

Childhood adversity is associated with increased later mental health problems and suicidal behaviour. Opportunities for earlier healthcare identification and intervention are needed.

To determine associations between hospital admissions for childhood adversity and mental health in children who later die by suicide.

Population-based longitudinal case-control study. Scottish in-patient general and psychiatric records were summarised for individuals born 1981 or later who died by suicide between 1991 and 2017 (cases), and matched controls (1:10), for childhood adversity and mental health (broadly defined as psychiatric diagnoses and general hospital admissions for self-harm and substance use).

Records were extracted for 2477 ‘cases’ and 24 777 ‘controls’; 2106 cases (85%) and 13 589 controls (55%) had lifespan hospitalisations. Mean age at death was 23.7; 75.9% were male. Maltreatment or violence-related childhood adversity codes were recorded for 7.6% cases aged 10–17 (160/2106) versus 2.7% controls (371/13 589), odds ratio = 2.9 (95% CI, 2.4–3.6); mental health-related admissions were recorded for 21.7% cases (458/2106), versus 4.1% controls (560/13 589), odds ratio = 6.5 (95% CI, 5.7–7.4); 80% of mental health admissions were in general hospitals. Using conditional logistic models, we found a dose-response effect of mental health admissions <18y, with highest adjusted odds ratio (aOR) for three or more mental health admissions: aORmale = 8.17 (95% CI, 5.02–13.29), aORfemale = 15.08 (95% CI, 8.07–28.17). We estimated that each type of childhood adversity multiplied odds of suicide by aORmale = 1.90 (95% CI, 1.64–2.21), aORfemale = 2.65 (95% CI, 1.94–3.62), and each mental health admission by aORmale = 2.06 (95% CI, 1.81–2.34), aORfemale = 1.78 (95% CI, 1.50–2.10).

Our lifespan study found that experiencing childhood adversity (primarily maltreatment or violence-related admissions) or mental health admissions increased odds of young person suicide, with highest odds for those experiencing both. Healthcare practitioners should identify and flag potential ‘at-risk’ adolescents to prevent future suicidal acts, especially those in general hospitals.

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.

Digital Mental Health Interventions (DMHIs) that meet the definition of a medical device are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. The MHRA uses procedures that were originally developed for pharmaceuticals to assess the safety of DMHIs. There is recognition that this may not be ideal, as is evident by an ongoing consultation for reform led by the MHRA and the National Institute for Health and Care Excellence.

The aim of this study was to generate an experts’ consensus on how the medical regulatory method used for assessing safety could best be adapted for DMHIs.

An online Delphi study containing three rounds was conducted with an international panel of 20 experts with experience/knowledge in the field of UK digital mental health.

Sixty-four items were generated, of which 41 achieved consensus (64%). Consensus emerged around ten recommendations, falling into five main themes: Enhancing the quality of adverse events data in DMHIs; Re-defining serious adverse events for DMHIs; Reassessing short-term symptom deterioration in psychological interventions as a therapeutic risk; Maximising the benefit of the Yellow Card Scheme; and Developing a harmonised approach for assessing the safety of psychological interventions in general.

The implementation of the recommendations provided by this consensus could improve the assessment of safety of DMHIs, making them more effective in detecting and mitigating risk.

Childhood maltreatment is associated with internet addiction, but most evidence is from retrospective studies.

We aimed to investigate the relationship between childhood maltreatment and internet addiction through a prospective cohort design.

In a prospective cohort study, self-reported data on childhood maltreatment (Childhood Trauma Questionnaire – Short Form) at baseline, and internet addiction (Revised Chinese Internet Addiction Scale) at baseline and 6-month follow-up, were collected online from 756 Chinese junior middle school students aged 11–15 years and residing in Changsha, Hunan Province. Demographic data and covariates such as depression, anxiety, stress (Depression, Anxiety, and Stress Scale 21) and insomnia (Athens Insomnia Scale) were also surveyed at baseline. Logistic regression analysis measured the association between childhood maltreatment and internet addiction, and gender-related differences.

Childhood maltreatment was prevalent in Chinese junior middle school students (37.83%), and the incidence rate of internet addiction was 9.26% at the 6-month follow-up. Emotional abuse was a significant risk factor for internet addiction (adjusted odds ratio 2.618, 95% CI 1.194–5.738; P = 0.016) in both males and females.

This study suggests a high prevalence of childhood maltreatment in Chinese junior middle school students, and that emotional abuse plays a significant role in internet addiction. More attention should be paid to parenting style and adolescents’ mental health.

The use of feedback to address gaps and reinforce skills is a key component of successful competency-based mental health and psychosocial support intervention training approaches. Competency-based feedback during training and supervision for personnel delivering psychological interventions is vital for safe and effective care.

For non-specialists trained in low-resource settings, there is a lack of standardised feedback systems. This study explores perspectives on competency-based feedback, using structured role-plays that are featured on the Ensuring Quality in Psychosocial and Mental Health Care (EQUIP) platform developed by the World Health Organization and United Nations Children’s Fund.

Qualitative data were collected from supervisors, trainers and trainees from multiple EQUIP training sites (Ethiopia, Kenya, Lebanon, Peru and Uganda), from 18 key informant interviews and five focus group discussions (N = 41 participants). Qualitative analysis was conducted in Dedoose, using a codebook with deductively and inductively developed themes.

Four main themes demonstrated how a competency-based structure enhanced the feedback process: (a) competency-based feedback was personalised and goal-specific, (b) competency-based feedback supported a feedback loop, (c) competency-based feedback supported a comfortable and objective feedback environment, and (d) competency-based feedback created greater opportunities for flexibility in training and supervision.

A better understanding of the role of feedback supports the implementation of competency-based training that is systematic and effective for trainers and supervisors, which ultimately benefits the learning process for trainees.

COVID-19 carriers experience psychological stresses and mental health issues such as varying degrees of stigma. The Social Impact Scale (SIS) can be used to measure the stigmatisation of COVID-19 carriers who experience such problems.

To evaluate the reliability and validity of the Chinese version of the SIS, and the association between stigma and depression among asymptomatic COVID-19 carriers in Shanghai, China.

A total of 1283 asymptomatic COVID-19 carriers from Shanghai Ruijin Jiahe Fangcang Shelter Hospital were recruited, with a mean age of 39.64 ± 11.14 years (59.6% male). Participants completed questionnaires, including baseline information and psychological measurements, the SIS and Self-Rating Depression Scale. The psychometrics of the SIS and its association with depression were examined through exploratory factor analysis, confirmatory factor analysis and receiver operating characteristic analysis.

The average participant SIS score was 42.66 ± 14.61 (range: 24–96) years. Analyses suggested the model had four factors: social rejection, financial insecurity, internalised shame and social isolation. The model fit statistics of the four-factor SIS were 0.913 for the comparative fit index, 0.902 for the Tucker–Lewis index and 0.088 for root-mean-square error of approximation. Standard estimated factor loadings ranged from 0.509 to 0.836. After controlling for demographic characteristics, the total score of the 23-item SIS predicted depression (odds ratio: 1.087, 95% CI 1.061–1.115; area under the curve: 0.84, 95% CI 0.788–0.892).

The Chinese version of the SIS showed good psychometric properties and can be used to assess the level of perceived stigma experienced by asymptomatic COVID-19 carriers.

Depression, anxiety and insomnia often co-occur. However, there is a lack of research regarding how they cluster and how this is related to medication used to treat them.

To describe the frequencies and associations between depression, anxiety and insomnia, and treatment for these conditions in primary care.

A retrospective cohort study using UK electronic primary care records. We included individuals aged between 18 and 99 years old with one or more records suggesting they had a diagnosis, symptom or drug treatment for anxiety, depression or insomnia between 2015 and 2017. We report the conditional probabilities of having different combinations of diagnoses, symptoms and treatments recorded.

There were 1 325 960 records indicative of depression, anxiety or insomnia, for 739 834 individuals. Depression was the most common condition (n = 106 117 records), and SSRIs were the most commonly prescribed medication (n = 347 751 records). Overall, individuals with a record of anxiety were most likely to have co-occurring symptoms and diagnoses of other mental health conditions. For example, of the individuals with a record of generalised anxiety disorder (GAD), 24% also had a diagnosis of depression. In contrast, only 0.6% of those who had a diagnosis of depression had a diagnosis or symptom of GAD. Prescribing of more than one psychotropic medication within the same year was common. For example, of those who were prescribed an SNRI (serotonin-norepinephrine reuptake inhibitor), 40% were also prescribed an SSRI (selective serotonin reuptake inhibitor).

The conditional probabilities of co-occurring anxiety, depression and insomnia symptoms, diagnoses and treatments are high.

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.

Epidemiological studies have previously shown a link between cardiometabolic disease and severe mental illness. The extent and mechanisms behind this link are poorly understood currently but links to impairments in the stress response and cortisol regulation have been thought to play a significant role. BMAL1 is a circadian rhythm regulation gene found on chromosome 11 which has been associated with a variety of pro-inflammatory states as well as conditions such as depression, schizophrenia, type 2 diabetes mellitus and myocardial infarction. Our study aimed to investigate the genetic structure of the BMAL1 gene locus and its associations with both cardiometabolic and psychiatric traits and conditions.

We used genetic data from the UK Biobank which recruited ~500,000 participants. Of these we used a population of ~430,000 self-reported white British participants and data from a variety of questionnaires and investigations looking at severe mental illness and cardiometabolic traits. We performed association analyses using Plink 1.07 with Bonferroni correction being performed for multiple testing using a number of genetic variants. Our threshold for significance was defined as a p-value < 5.35 × 10−5. Conditional analysis was then performed to identify if there were multiple independent signals for each phenotype.

BMAL1 variants were associated with BMI, diastolic, systolic blood pressure, waist-hip ratio and neuroticism score, and risk of anhedonia, major depressive disorder and risk-taking behaviour. Multiple significant independent signals were identified for BMI and waist-hip ratio. Linkage disequilibrium (LD) analysis showed significant coinheritance of specific traits which could suggest a role for BMAL1 and the encoded protein as a link between cardiometabolic and mental health traits.

This is the first study that systematically investigated associations between the BMAL1 locus across a variety of different mental and cardiometabolic phenotypes in a population-level cohort. Our study has shown that there is a link between the BMAL1 locus and both cardiometabolic and mental health phenotypes. Further research is required to investigate the exact biological mechanism by which BMAL1 connects severe mental illness and cardiometabolic disease.

To compare receipt of acute cardiac care in people with versus without severe mental illness (SMI) and investigate the impact of the COVID-19 pandemic on any differences in care. We hypothesised that, compared with those without SMI, patients with an SMI are less likely to receive guideline recommended acute cardiac care and that disparities worsened as a result of the pandemic.

We conducted a cohort study using data from the CVD-COVID-UK resource, which links electronic health data from multiple sources. Our cohort included 95,125 adults with a non-ST-elevation MI (NSTEMI) recorded in the Myocardial Infarction National Audit Programme (MINAP) dataset between 1 November 2019 and 31 March 2022. We defined SMI as schizophrenia, schizoaffective disorders or bipolar disorder (BD), ascertained through recorded diagnosis in primary care or hospital admission records. We examined receipt of cardiac care standards for NSTEMI, including: admission to a cardiac ward; angiogram eligibility; receipt of angiogram (in those eligible); angiogram within 72 hours; secondary prevention medication prescribing at discharge, and arrangement of post-discharge cardiac rehabilitation. We used logistic regression to obtain odds ratios (ORs) for the association between SMI and receipt of each care indicator, adjusting for age, sex and time period. We tested for an interaction between SMI and time period in order to determine if any disparities had changed since the start of the COVID-19 pandemic.

Within our cohort, 620 patients (0.6%) had schizophrenia and 575 (0.6%) had BD. Compared with people without SMI and after adjusting for age, sex and period, patients with an SMI were less likely to receive each of the cardiac care standards. For example, compared with those without SMI, those with SMI were less likely to: be admitted to a cardiac ward (schizophrenia: OR 0.72, 95% CI 0.61–0.85; BD: 0.74, 95% CI 0.63–0.88); be eligible for an angiogram (schizophrenia: 0.37, 95% CI 0.29–0.47; BD: 0.52, 95% CI 0.40–0.68); receive an angiogram (schizophrenia: 0.22, 95% CI 0.18–0.28; BD: 0.51, 95% CI 0.39–0.66); and receive an angiogram within 72 hours (schizophrenia: 0.71, 95% CI 0.56–0.90); BD: 0.80, 95% CI 0.64–1.00). We generally found no evidence that disparities had changed since the start of the COVID-19 pandemic.

We identified marked SMI disparities in receipt of acute cardiac care among people treated in hospital for a NSTEMI. Further research should seek to identify reasons for, and inform interventions to, address these disparities.

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.

Feelings of emptiness are commonly reported as deeply distressing experiences. Despite established relationships between emptiness and many mental health difficulties, alongside self-harm and suicide, further study into this phenomenon has been restricted by vague definition and clinical measures with limited utility. Recently the first definition validated by individuals with lived experience of emptiness has been conceptualised, providing an opportunity to create a new measure of emptiness.

This study aimed to psychometrically evaluate the 31-item Psychological Emptiness Scale (PES), identifying redundancy, and thus creating a psychometrically robust scale with optimised clinical utility.

Utilising an online survey design, 768 participants completed the 31 items of the initial PES alongside other measures of mental health. Exploratory factor analysis was conducted, and item response theory employed to identify item redundancy and reduce test burden. Expert clinicians provided ratings of each item's clinical relevance and, combined with the psychometric analysis, led to the removal of a number of items. Confirmatory factor analysis was then undertaken. Reliability including test–retest, validity and sensitivity of the measure were evaluated.

A two-factor structure encompassing ‘nothingness’ and ‘detachment’ was identified, and found to have acceptable fit. The resulting 19-item PES was found to have internal consistency (α = 0.95), convergent validity and test–retest reliability.

This study demonstrated strong psychometric properties of the PES. The PES has potential to support research into the role of emptiness in psychological distress and treatment in clinical practice.

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.

Brief intervention services provide rapid, mobile and flexible short-term delivery of interventions to resolve mental health crises. These interventions may provide an alternative pathway to the emergency department or in-patient psychiatric services for children and young people (CYP), presenting with an acute mental health condition.

To synthesise evidence on the effectiveness of brief interventions in improving mental health outcomes for CYP (0–17 years) presenting with an acute mental health condition.

A systematic literature search was conducted, and the studies’ methodological quality was assessed. Five databases were searched for peer-reviewed articles between January 2000 and September 2022.

We synthesised 30 articles on the effectiveness of brief interventions in the form of (a) crisis intervention, (b) integrated services, (c) group therapies, (d) individualised therapy, (e) parent–child dyadic therapy, (f) general services, (g) pharmacotherapy, (h) assessment services, (i) safety and risk planning and (j) in-hospital treatment, to improve outcomes for CYP with an acute mental health condition. Among included studies, one study was rated as providing a high level of evidence based on the National Health and Medical Research Council levels of evidence hierarchy scale, which was a crisis intervention showing a reduction in length of stay and return emergency department visits. Other studies, of moderate-quality evidence, described multimodal brief interventions that suggested beneficial effects.

This review provides evidence to substantiate the benefits of brief interventions, in different settings, to reduce the burden of in-patient hospital and readmission rates to the emergency department.

The first cases of the COVID-19 pandemic in Australia were recorded in January 2020, which was during the ‘Black Summer’ bushfires of 2019–20 and prior to additional disasters in some regions. Few studies have considered the compound impact of disasters and the pandemic.

To improve understanding of the impact on mental health and well-being of the pandemic in disaster-affected communities.

We conducted semi-structured interviews (n = 18) with community members and online focus groups (n = 31) with help providers from three regions of rural Australia affected by bushfires and the pandemic.

Six themes were produced: (a) ‘Pulling together, pulling apart’, describing experiences after bushfires and prior to impacts of the pandemic; (b) ‘Disruption of the ‘normal response’, encompassing changes to post-disaster recovery processes attributed to the pandemic; (c) ‘Escalating tensions and division in the community’, describing impacts on relationships; (d) ‘Everywhere you turn you get a slap in the face’, acknowledging impacts of bureaucratic ‘red tape’; (e) ‘There are layers of trauma’, highlighting intersecting traumas and pre-existing vulnerabilities; and (f) ‘Where does the help come from when we can't do it?’, encompassing difficulties accessing services and impacts on the helping workforce.

This study furthers our understanding of compound disasters and situates pandemic impacts in relation to processes of adjustment and recovery from bushfires. It highlights the need for long-term approaches to resilience and recovery, investment in social infrastructure, multi-component approaches to workforce issues, and strategies to increase mental health support and pathways across services.