Using a generative model of affect to characterize affective variability and its response to treatment in bipolar disorder.

The affective variability of bipolar disorder (BD) is thought to qualitatively differ from that of borderline personality disorder (BPD), with changes in affect persisting longer in BD. However, quantitative studies have not been able to confirm this distinction. It has therefore not been possible to accurately quantify how treatments like lithium influence affective variability in BD. We assessed the affective variability associated with BD and BPD as well as the effect of lithium using a computational model that defines two subtypes of variability: affective changes that persist (volatility) and changes that do not (noise). We hypothesized that affective volatility would be raised in the BD group, noise would be raised in the BPD group, and that lithium would impact affective volatility. Daily affect ratings were prospectively collected for up to 3 y from patients with BD or BPD and nonclinical controls. In a separate experimental medicine study, patients with BD were randomized to receive lithium or placebo, with affect ratings collected from week -2 to +4. We found a diagnostically specific pattern of affective variability. Affective volatility was raised in patients with BD, whereas affective noise was raised in patients with BPD. Rather than suppressing affective variability, lithium increased the volatility of positive affect in both studies. These results provide a quantitative measure of the affective variability associated with BD and BPD. They suggest a mechanism of action for lithium, whereby periods of persistently low or high affect are avoided by increasing the volatility of affective responses.

Mindfulness training in healthcare professions: A scoping review of systematic reviews.

PURPOSE: The effectiveness of mindfulness training (MT) on mental health and wellbeing in different groups and contexts is well-established. However, the effect of MT on different healthcare professionals' (HCPs) mental health and wellbeing needs to be synthesised, along with a focus on outcomes that are specifically relevant to healthcare settings. The aim of this study is to summarise the effect of MT interventions on HCPs' mental health and wellbeing, to explore its effect on communication skills and to identify potential gaps in the literature. METHODS: A scoping review of systematic reviews (SRs) investigating MT interventions in HCPs was conducted. A comprehensive systematic search was conducted from database inception to 22 February 2023 on Ovid MEDLINE, Ovid Embase, Scopus, Cochrane (CENTRAL), EBSCHOhost CINAHL, Ovid PsycINFO, Web of Science (Core Collection), OpenGrey, TRIP Database and Google Scholar. Snowballing of reference lists and hand-searching were utilised. Risk of bias and quality of included SRs were assessed using the ROBIS and AMSTAR2 tools. RESULTS: Sixteen SRs were included in this review. We found substantial evidence for MT interventions improving mental health and wellbeing across different HCPs, with the exception of burnout, where evidence is mixed. There is a paucity of SRs evaluating communication skills other than empathy. However, the available evidence is suggestive of improvements in self-reported empathy. Details of MT fidelity and dosage are largely absent in the SRs, as is study populations from representative EDI samples. CONCLUSIONS: Synthesis of SRs suggests that MT improves mental health and wellbeing in HCPs. The exception is burnout, where results are inconclusive. Insufficient data exists to evaluate effects of MT on the full spectrum of communication skills. Other HCPs than medicine and nursing are inadequately represented. Further research is required that considers the specific target population of HCPs and MT curriculum, and reports on fidelity, dosage and the effects on communication skills.

Virtual patients improve history-taking competence and confidence in medical students.

PURPOSE: Klark is a novel online medical education tool (www.klark-cases.com) where students take histories from virtual patients with common presentations from multiple specialities. We investigated whether Klark could enhance student confidence and competence in history-taking, and whether students find Klark helpful. METHODS: A single cohort of first-year clinical medical students had access to Klark for three weeks. At both ends of the trial, participants were asked to complete feedback forms and participate in two mock Objective Structured Clinical Examination (OSCE) history stations. Outcome measures included self-reported confidence and competence in history-taking, performance in OSCE stations, and qualitative user experience data. RESULTS: Seventy participants successfully completed a case on Klark (mean 18.7), of which 63 (90% user retention) completed  ≥ 2 cases. Self-reported competence (p < 0.001) and confidence (p < 0.001) improved. Participants found Klark to be helpful, impactful, and would recommend it to other students. OSCE scores improved for medical (57% vs. 69%, p < 0.001) and surgical (58% vs. 70%, p < 0.001) histories. CONCLUSIONS: Klark improved competence and confidence in history-taking. Students found it helpful and chose to continue using the platform. By developing confidence and competence at their own pace in the Klark simulated environment, students can then maximise benefit from in-person clinical opportunities.

Mental health prior to and during the COVID-19 pandemic in individuals with bipolar disorder: Insights from prospective longitudinal data.

OBJECTIVES: Many studies have examined the impact of COVID-19 on the mental health of the public, but few have focused on individuals with existing severe mental illness with longitudinal data before and during the pandemic. AIMS: To investigate the impact of the COVID-19 pandemic on the mental health of people with bipolar disorder (BD). METHODS: In an ongoing study of people with BD who used an online mood monitoring tool, True Colours, 356 participants provided weekly data on their mental health. Symptoms of depression, mania, insomnia, and suicidal thoughts were compared in 2019 and 2020. From May 2020, participants also provided weekly data on the effect of the COVID-19 pandemic on anxiety, coping strategies, access to care, and medications. RESULTS: On average, symptoms of depression, mania, insomnia, and suicidal thoughts did not significantly differ in 2020 compared to 2019, but there was evidence of heterogeneity. There were high rates of anxiety about the pandemic and its impact on coping strategies, which increased to over 70% of responders in January 2021. A significant proportion of participants reported difficulty accessing routine care (27%) and medications (21%). CONCLUSIONS: Although mood symptoms did not significantly increase during the pandemic overall, we observed heterogeneity among our BD sample and other impacted areas. Individuals' unique histories and psychosocial circumstances are key and should be explored in future qualitative studies. The significant impacts of the pandemic may take time to manifest, particularly among those who are socioeconomically disadvantaged, highlighting the need for further long-term prospective studies.

Motivations, barriers, and social media: a qualitative study of uptake of women into neurosurgery.

OBJECTIVE: To explore how social media could be utilised to influence an individual's motivation to pursue a neurosurgical career, an emerging topic area. The focus of this study was on women interested in neurosurgery. SUMMARY BACKGROUND DATA: Women are significantly under-represented in neurosurgery. 18% of all neurosurgeons - including 8% of consultants - are women. Most previous studies have used quantitative methods that are not best suited to gaining an in-depth understanding of the barriers that women face in pursuing a career in neurosurgery, or what would enable more women to go into the speciality. METHODS: In this qualitative study, individual semi-structured interviews were conducted until data saturation was achieved. Participants were women pre-neurosurgical trainees. The interview data was examined through a thematic analysis involving open and axial coding. RESULTS: Thirty women participated in the study. Four overarching themes were identified: (1) mentorship, (2) testimony from other women doing neurosurgery, (3) social media as a means of increasing interest in neurosurgery as a career choice, and (4) real-life exposure to the speciality. CONCLUSION: There is scope to further improve uptake of women into neurosurgical training in the UK. Motivations and barriers to women pursuing neurosurgery should be addressed openly through early experience, role models and mentorship. Social media can help facilitate these opportunities, disseminate information and inspiration, and has the potential to undo societal biases.

Bipolar disorder: Trimodal age-at-onset distribution.

OBJECTIVE: Bipolar disorder (BD) is a chronic mental health disorder with significant morbidity and mortality. Age at onset (AAO) may be a key variable in delineating more homogeneous subgroups of BD patients. However, no known research has systematically assessed how BD age-at-onset subgroups should be defined. METHODS: We systematically searched the following databases: Cochrane Central Register of Controlled Trials, PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Proquest Dissertations and Theses, Google Scholar and BIOSIS Previews. Original quantitative English language studies investigating AAO in BD were sought. RESULTS: A total of 9454 unique publications were identified. Twenty-one of these were included in data analysis (n = 22981 BD participants). Fourteen of these studies (67%, n = 13626 participants) found a trimodal AAO distribution: early-onset (µ = 17.3, σ = 1.19, 45% of sample), mid-onset (µ = 26.0, σ = 1.72, 35%), and late-onset (µ = 41.9, σ = 6.16, 20%). Five studies (24%, n = 1422 participants) described a bimodal AAO distribution: early-onset (µ = 24.3, σ = 6.57, 66% of sample) and late-onset (µ = 46.3, σ = 14.15, 34%). Two studies investigated cohort effects on BD AAO and found that when the sample was not split by cohort, a trimodal AAO was the winning model, but when separated by cohort a bimodal distribution fit the data better. CONCLUSIONS: We propose that the field conceptualises bipolar disorder age-at-onset subgroups as referring broadly to life stages. Demarcating BD AAO groups can inform treatment and provide a framework for future research to continue to investigate potential mechanisms of disease onset.

Effect of lithium on circadian rhythm in bipolar disorder: A systematic review and meta-analysis.

OBJECTIVES: Circadian rhythm disruption is commonly reported in patients with bipolar disorder. Lithium has been suggested to have effects on the circadian clock, the biological basis of the circadian rhythm. The objective of the current review was to review systematically the existing studies on the effect of lithium on circadian rhythm in patients with bipolar disorder. METHODS: We systematically searched the scientific literature up to September 2020 for experimental or observational studies which measured circadian rhythm in bipolar patients taking lithium (in comparison with placebo or other active treatments) and carried out a meta-analysis. Circadian rest-activity was our primary outcome, but we also collected data about sleep quality and chronotype (Morningness-Eveningness). The protocol was registered in PROSPERO (CRD42018109790). RESULTS: Four observational studies (n = 668) and one experimental study (n = 29) were included. Results from the meta-analysis suggest a potential association between lithium and shifts towards morningness (standardized mean difference [SMD]: 0.42, 95% confidence interval [CI]: -0.05 to 0.90). One cohort study with 21 days of follow-up found that patients treated with lithium had significantly larger amplitude (0.68, 0.01 to 1.36) when compared to anticonvulsants. CONCLUSION: This review highlights the insufficient evidence to inform us about the effect of lithium on circadian rhythm. However, we found that chronotype can be a potential target for further exploration of biomarkers or biosignatures of lithium treatment in patients with bipolar disorder. Further studies with prospective and longitudinal study design, adopting actigraphy to monitor daily circadian rest-activity changes are needed.

The influence of borderline personality traits on clinical outcomes in bipolar disorder.

OBJECTIVES: Systematic reviews suggest comorbid borderline personality disorder is present in approximately 20% of individuals who have bipolar disorder, but current diagnostic systems demonstrate a move towards dimensional rather than categorical approaches to classifying personality pathology. We aimed to examine the presence and severity of borderline personality traits in bipolar I and bipolar II disorder, and to explore associations between the presence/severity of borderline personality traits and clinical outcomes in bipolar disorder. METHODS: Borderline personality traits were measured in 1447 individuals with DSM-IV bipolar disorder (1008 bipolar I disorder and 439 bipolar II disorder) using the Borderline Evaluation of Severity over Time (BEST) questionnaire. Lifetime clinical outcomes were assessed via Schedules for Clinical Assessment in Neuropsychiatry (SCAN) semi-structured interview and clinical case notes. RESULTS: Borderline personality traits were common in both bipolar disorder groups, with 86.2% participants reporting at least one trait. These included traits that overlap with (eg mood instability) and those that are distinct from the symptoms of bipolar disorder (eg fear of abandonment). Borderline personality traits were significantly more frequent and more severe in bipolar II disorder compared to bipolar I disorder. More severe borderline traits, and even the presence of a single borderline personality trait, were significantly associated with younger age of bipolar disorder onset and higher prevalence of lifetime alcohol misuse in both bipolar disorder groups. CONCLUSIONS: The presence of comorbid borderline personality traits should be considered in the management of all patients with bipolar disorder irrespective of whether criteria for a categorical borderline personality disorder diagnosis are met.

Insomnia as a mediating therapeutic target for depressive symptoms: A sub-analysis of participant data from two large randomized controlled trials of a digital sleep intervention.

Insomnia predicts the onset of depression, commonly co-presents with depression and often persists following depression remission. However, these conditions can be challenging to treat concurrently using depression-specific therapies. Cognitive behavioural therapy for insomnia may be an appropriate treatment to improve both insomnia and depressive symptoms. We examined the effects of a fully-automated digital cognitive behavioural therapy intervention for insomnia (Sleepio) on insomnia and depressive symptoms, and the mediating role of sleep improvement on depressive symptoms in participants from two randomized controlled trials of digital cognitive behavioural therapy for insomnia. We also explored potential moderators of intervention effects. All participants met criteria for probable insomnia disorder and had clinically significant depressive symptomatology (PHQ-9 ≥ 10; n = 3,352). Individuals allocated to treatment in both trials were provided access to digital cognitive behavioural therapy. Digital cognitive behavioural therapy significantly improved insomnia (p < .001; g = 0.76) and depressive symptoms (p < .001; g = 0.48) at post-intervention (weeks 8-10), and increased the odds (OR = 2.9; 95% CI = 2.34, 3.65) of clinically significant improvement in depressive symptoms (PHQ-9 < 10). Improvements in insomnia symptoms at mid-intervention mediated 87% of the effects on depressive symptoms at post-intervention. No variables moderated effectiveness outcomes, suggesting generalizability of these findings. Our results suggest that effects of digital cognitive behavioural therapy for insomnia extend to depressive symptoms in those with clinically significant depressive symptomatology. Insomnia may, therefore, be an important therapeutic target to assist management of depressive symptoms.

The Emerging Circadian Phenotype of Borderline Personality Disorder: Mechanisms, Opportunities and Future Directions.

PURPOSE OF REVIEW: We review the recent evidence suggesting that circadian rhythm disturbance is a common unaddressed feature of borderline personality disorder (BPD); amelioration of which may confer substantial clinical benefit. We assess chronobiological BPD studies from a mechanistic and translational perspective and highlight opportunities for the future development of this hypothesis. RECENT FINDINGS: The emerging circadian phenotype of BPD is characterised by a preponderance of comorbid circadian rhythm sleep-wake disorders, phase delayed and misaligned rest-activity patterns and attenuated amplitudes of usually well-characterised circadian rhythms. Such disturbances may exacerbate symptom severity, and specific maladaptive personality dimensions may produce a liability towards extremes in chronotype. Pilot studies suggest intervention may be beneficial, but development is limited. Endogenous and exogenous circadian rhythm disturbances appear to be common in BPD. The interface between psychiatry and chronobiology has led previously to novel efficacious strategies for the treatment of psychiatric disorders. We believe that better characterisation of the circadian phenotype in BPD will lead to a directed biological target for treatment in a condition where there is a regrettable paucity of accessible therapies.

Personal protective equipment and infection prevention and control: a national survey of UK medical students and interim foundation doctors during the COVID-19 pandemic.

BACKGROUND: The adequacy of personal protective equipment (PPE) and infection prevention and control (IPC) training in UK medical students and interim Foundation Year 1 (FiY1) doctors during the COVID-19 pandemic is unknown, as is its impact on COVID-19-related anxiety. METHODS: Cross-sectional, multi-centre study analysing self-reported adequacy of PPE and IPC training and correlation to a modified pandemic anxiety scale. Participants were current medical students and FiY1 doctors in the UK. Data were collected by an online survey. RESULTS: Participants reported that they received insufficient PPE information (43%) and IPC training (56%). Significantly, fewer participants identifying as women or BAME/mixed ethnicity reported receiving sufficient PPE information, compared with those identifying as men and White British/White Other, respectively. COVID-19-related anxiety was significantly higher in those without sufficient reported PPE or IPC training, in women compared with men, and in FiY1 doctors compared with medical students. CONCLUSIONS: With medical students currently volunteering in and imminently returning to hospitals in an educational capacity, levels of self-reported PPE and IPC training are sub-optimal. Better training is paramount to avoid harm to patients and healthcare professionals and to reduce COVID-19-related anxiety among medical students and FiY1 doctors.

Efficacy of digital cognitive behavioral therapy for moderate-to-severe symptoms of generalized anxiety disorder: A randomized controlled trial.

BACKGROUND: Cognitive behavioral therapy (CBT) is an efficacious intervention for generalized anxiety disorder (GAD). Digital CBT may provide a scalable means of delivering CBT at a population level. We investigated the efficacy of a novel digital CBT program in those with GAD for outcomes of anxiety, worry, depressive symptoms, sleep difficulty, wellbeing, and participant-specific quality of life. METHODS: This online, two-arm parallel-group superiority randomized controlled trial compared digital CBT with waitlist control in 256 participants with moderate-to-severe symptoms of GAD. Digital CBT (Daylight), was delivered using participants' own smartphones. Online assessments took place at baseline (Week 0; immediately preceding randomization), mid-intervention (Week 3; from randomization), post-intervention (Week 6; primary endpoint), and follow-up (Week 10). RESULTS: Overall, 256 participants were randomized and intention-to-treat analysis found Daylight reduced symptoms of anxiety compared with waitlist control at post-intervention, reflecting a large effect size (adjusted difference [95% CI]: 3.22 [2.14, 4.31], d = 1.08). Significant improvements were found for measures of worry; depressive symptoms, sleep difficulty, wellbeing, and participant-specific quality of life. CONCLUSION: Digital CBT (Daylight) appears to be safe and efficacious for symptoms of anxiety, worry, and further measures of mental health compared with waitlist control in individuals with GAD.

Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study.

BACKGROUND: Objective behavioral markers of mental illness, often recorded through smartphones or wearable devices, have the potential to transform how mental health services are delivered and to help users monitor their own health. Linking objective markers to illness is commonly performed using population-level models, which assume that everyone is the same. The reality is that there are large levels of natural interindividual variability, both in terms of response to illness and in usual behavioral patterns, as well as intraindividual variability that these models do not consider. OBJECTIVE: The objective of this study was to demonstrate the utility of splitting the population into subsets of individuals that exhibit similar relationships between their objective markers and their mental states. Using these subsets, "group-personalized" models can be built for individuals based on other individuals to whom they are most similar. METHODS: We collected geolocation data from 59 participants who were part of the Automated Monitoring of Symptom Severity study at the University of Oxford. This was an observational data collection study. Participants were diagnosed with bipolar disorder (n=20); borderline personality disorder (n=17); or were healthy controls (n=22). Geolocation data were collected using a custom Android app installed on participants' smartphones, and participants weekly reported their symptoms of depression using the 16-item quick inventory of depressive symptomatology questionnaire. Population-level models were built to estimate levels of depression using features derived from the geolocation data recorded from participants, and it was hypothesized that results could be improved by splitting individuals into subgroups with similar relationships between their behavioral features and depressive symptoms. We developed a new model using a Dirichlet process prior for splitting individuals into groups, with a Bayesian Lasso model in each group to link behavioral features with mental illness. The result is a model for each individual that incorporates information from other similar individuals to augment the limited training data available. RESULTS: The new group-personalized regression model showed a significant improvement over population-level models in predicting mental health severity (P<.001). Analysis of subgroups showed that different groups were characterized by different features derived from raw geolocation data. CONCLUSIONS: This study demonstrates the importance of handling interindividual variability when developing models of mental illness. Population-level models do not capture nuances in how different individuals respond to illness, and the group-personalized model demonstrates a potential way to overcome these limitations when estimating mental state from objective behavioral features.

Psychiatric assessment of mood instability: qualitative study of patient experience.

BACKGROUND: Mood instability is a common reason for psychiatric referral. Very little is known about how patients with unstable mood experience assessment and diagnosis. AIMS: To investigate the experiences of assessment and diagnosis among patients with mood instability and to suggest improvements to this process. METHOD: Qualitative study, gathering data through individual interviews with 28 people experiencing mood instability and receiving a psychiatric assessment in secondary care. RESULTS: Participants described the importance of receiving an explanation for their symptoms; the value of a good interpersonal relationship with their clinician(s); being listened to and acknowledged; and being involved in and informed about clinical decisions. These needs were not, however, consistently met. Receiving a psychiatric diagnosis, including a diagnosis of bipolar disorder or borderline personality disorder, evoked both positive and negative responses among participants, relating to stigma, personal understanding and responsibility, prognosis and treatment. CONCLUSIONS: Patients with mood instability seek explanation for their symptoms and difficulties, empathetic care and consistent support as much as cure. Clinicians may incorrectly assume what patients' attitudes towards diagnosis are, a mismatch which may hamper the development of a strong therapeutic relationship. Clear, patient-centred communication, which acknowledges the patient's experience, may result in greater patient engagement and satisfaction.

Systematic Review and Meta-Analysis: Risks of Anxiety Disorders in Offspring of Parents With Mood Disorders.

OBJECTIVE: To examine the risk of anxiety disorders in offspring of parents with mood disorders. METHOD: We conducted a systematic review and meta-analysis. We searched 4 electronic databases (Medline, Embase, PsycINFO, and Web of Science [core collection]) to identify cross-sectional and cohort studies that examined the association between parental mood disorders (including bipolar disorder and unipolar depression) and risk of anxiety disorders in offspring. Pooled risk ratios (RRs) of overall and specific anxiety disorders were synthesized using a random effects model. Subgroup analyses and meta-regression were performed to identify moderation factors. RESULTS: A total of 35 studies were included in the final analysis. Our results showed higher risks of all types of anxiety disorders in the offspring of parents with mood disorders (any anxiety disorder, RR = 1.82, 95% CI = 1.47-2.26), except for agoraphobia (RR = 1.08, 95% CI = 0.56-2.08), and with an especially elevated risk of panic disorder (RR = 3.07, 95% CI = 2.19-4.32). Subgroup analysis demonstrated no significant difference between the risks of anxiety disorders across the offspring of parents with bipolar disorder as opposed to unipolar depression. The absence of anxiety disorders in control parents, younger offspring age, and specific parent/offspring sex were associated with higher RRs for some anxiety disorders in offspring of parents with mood disorders. CONCLUSION: Our findings suggest a robust relationship between parental mood disorders and offspring anxiety disorders, and highlight the potential value of prevention and early intervention for anxiety disorders in this context. DIVERSITY & INCLUSION STATEMENT: We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. STUDY PREREGISTRATION INFORMATION: Anxiety Disorders in Offspring of Parents with Mood Disorders: A Systematic Review; https://www.crd.york.ac.uk/prospero/; CRD42021215058.

Self-harm and suicide in adolescents.

Self-harm and suicide are major public health problems in adolescents, with rates of self-harm being high in the teenage years and suicide being the second most common cause of death in young people worldwide. Important contributors to self-harm and suicide include genetic vulnerability and psychiatric, psychological, familial, social, and cultural factors. The effects of media and contagion are also important, with the internet having an important contemporary role. Prevention of self-harm and suicide needs both universal measures aimed at young people in general and targeted initiatives focused on high-risk groups. There is little evidence of effectiveness of either psychosocial or pharmacological treatment, with particular controversy surrounding the usefulness of antidepressants. Restriction of access to means for suicide is important. Major challenges include the development of greater understanding of the factors that contribute to self-harm and suicide in young people, especially mechanisms underlying contagion and the effect of new media. The identification of successful prevention initiatives aimed at young people and those at especially high risk, and the establishment of effective treatments for those who self-harm, are paramount needs.

Clinical assessment and crisis intervention for the suicidal bipolar disorder patient.

OBJECTIVE: Suicidal behaviour is common in people suffering with bipolar disorder, and suicide is a leading cause of death in this group. Our aim in this review is to provide an overview of key assessment and management strategies, highlight research findings relevant to suicide prevention, and identify important areas for future research. METHODS: We reviewed the published literature regarding the risk factors for and management of suicida\l behaviour in individuals with bipolar disorder using the Pubmed and PsychINFO databases. Where available, we focused our search on systematic reviews. RESULTS: Suicide is usually associated with a depressive phase, although mixed affective states also convey increased risk. All individuals with bipolar disorder should have an up-to-date crisis management plan which outlines the action to be taken should suicidal behaviour emerge. Timely clinical assessment is essential in ensuring that those at high risk are identified. This should include mental state examination, consideration of risk factors, and evaluation of issues such as access to means, preparatory acts before suicide, and also protective factors. While pharmacological approaches are the mainstay of management, less specific measures, such as the removal of access to means, are also important in ensuring safety in the acute situation. Intensifying the clinical support of both patients and relatives, and the sharing of risk information with other health agencies are essential in management. Specific psychological treatments are likely to be helpful in preventing crises, although the evidence base is limited. CONCLUSIONS: The aetiology of suicidal behaviour in bipolar disorder is multifactorial and requires proactive crisis planning and management. A range of issues need to be addressed in the assessment of at-risk patients. Determining the efficacy of interventions specific to reducing suicidality in bipolar disorder should be a research priority.

Actigraphy-derived physical activity levels and circadian rhythm parameters in patients with psoriatic arthritis: relationship with disease activity, mood, age and BMI.

Background: Psoriatic arthritis (PsA) is associated with sleep disturbance, depression and a lifetime risk of obesity and cardiovascular disease. To date, there have been no studies investigating the relationship between objectively-measured physical activity (PA) levels and circadian rhythm disturbance with disease activity, daily symptoms and mood in patients with PsA. Objective: This pilot study aimed to investigate the relationship between disease activity, daily symptoms and mood on PA and circadian rhythm in PsA. Design: A prospective cohort study recruiting adults with PsA from rheumatology clinics at a single centre in the UK. Methods: Participants wore an actigraph and recorded their symptoms and mood on a daily basis via a smartphone app for 28 days. Time spent in sedentary, light and moderate-to-vigorous physical activity (MVPA) and parameters reflecting the circadian rhythm of the rest-activity pattern were derived. This included the onset time of the least active 5-h (L5) and most active 10-h (M10) daily consecutive periods and the relative amplitude (RA). The relationship factors between baseline clinical status, daily symptoms, PA and circadian measures were examined using linear mixed effect regression models. Results: Nineteen participants (8/19 female) were included. Participants with active PsA spent 63.87 min (95% CI: 18.5-109.3, p = 0.008) more in inactivity and 30.78 min (95% CI: 0.4-61.1, p = 0.047) less in MVPA per day compared to those in minimal disease activity (MDA). Age, body mass index and disease duration were also associated with PA duration. Participants with worse functional impairment had an M10 onset time 1.94 h (95% CI: 0.05-3.39, p = 0.011) later than those with no reported functional impairment. No differences were detected for L5 onset time or RA. Higher scores for positive mood components such as feeling energetic, cheerful and elated were associated with less time in inactivity and greater time spent in MVPA overall. Conclusion: Our study highlights differences in PA and circadian rest-activity pattern timing based on disease activity, disability and daily mood in PsA. Reduced PA levels in patients with active disease may contribute to the observed increased risk of cardiovascular and metabolic sequelae, with further studies exploring this need.

Simulated virtual on-call training programme for improving non-specialised junior doctors' confidence in out-of-hours psychiatry: quantitative assessment.

AIMS AND METHOD: To investigate whether a psychiatry-specific virtual on-call training programme improved confidence of junior trainees in key areas of psychiatry practice. The programme comprised one 90 min lecture and a 2 h simulated on-call shift where participants were bleeped to complete a series of common on-call tasks, delivered via Microsoft Teams. RESULTS: Thirty-eight trainees attended the lecture, with a significant improvement in confidence in performing seclusion reviews (P = 0.001), prescribing psychiatric medications for acute presentations (P < 0.001), working in section 136 suites (places of safety) (P = 0.001) and feeling prepared for psychiatric on-call shifts (P = 0.002). Respondents reported that a virtual on-call practical session would be useful for their training (median score of 7, interquartile range 5-7.75). Eighteen participants completed the virtual on-call session, with significant improvement in 9 out of the 10 tested domains (P < 0.001). CLINICAL IMPLICATIONS: The programme can be conducted virtually, with low resource requirements. We believe it can improve trainee well-being, patient safety, the delivery of training and induction of rotating junior doctors during the COVID-19 pandemic and it supports the development and delivery of practical training in psychiatry.

User perspectives on long-term remote active electronic self-monitoring of mood symptoms in bipolar spectrum disorders.

BACKGROUND: User feedback is crucial in the development of electronic self-monitoring tools for bipolar spectrum disorders (BSD). Previous studies have examined user experiences in small samples self-monitoring over relatively short time periods. We aimed to explore the experiences of a large sample of individuals with BSD engaged in long-term remote active electronic self-monitoring. METHODS: An online survey, containing closed and open questions, was sent to participants with BSD enrolled on the Bipolar Disorder Research Network (BDRN) True Colours mood-monitoring system. Questions related to experiences of using True Colours, including viewing mood graphs, and sharing data with healthcare professionals (HCPs) and/or family/friends. RESULTS: Response rate was 62.7 % (n = 362). 88.4 % reported finding using True Colours helpful. Commonly reported benefits were having a visual record of mood changes, patterns/triggers and identifying early warning signs. Limitations included questions not being comprehensive or revealing anything new. One third had shared their graphs, with 89.9 % finding it helpful to share with HCPs and 78.7 % helpful to share with family/friends. Perceived benefits included aiding communication and limitations included lack of interest/understanding from others. LIMITATIONS: Responder bias may be present. Findings may not be generalisable to all research cohorts. CONCLUSIONS: The majority of participants valued long-term self-monitoring. Personalisation and ease of use were important. A potential challenge is continued use when mood is long-term stable, highlighting the need for measures to be sensitive to small changes. Sharing self-monitoring data with HCPs may enhance communication of the lived experience of those with BSD. Future research should examine HCPs' perspectives.