Ebola virus disease (EVD) has been shown to be associated with poor mental health in affected zones. However, no study has yet explored its impact on adolescents’ mental health.

This study aimed to assess the prevalence and risk factors associated with depression and anxiety symptoms among adolescents in EVD-affected areas in the Equateur Province of the Democratic Republic of the Congo during the COVID-19 pandemic.

A provincial sample of adolescents aged 12–17 years (M = 14.84, s.d. = 1.49) living in the 18 urban and rural areas affected by the 2018 EVD outbreak completed a two-wave longitudinal survey. Surveys assessed symptoms of depression and anxiety, exposure to Ebola, social support and sociodemographic information.

A total of 490 participants completed the baseline and follow-up surveys, 50% of whom were female. Elevated and worsened depressive symptoms were observed among participants from the baseline (56.94%) to the follow-up (91.43%; z = −11.37, P < 0.001), whereas anxiety symptoms decreased from the baseline (36.33%) to follow-up (24.90%; z = 4.06, P < 0.001). The final generalised estimating equation model showed that anxiety symptoms decreased over time (B = −3.92, P < 0.001), while depression symptoms increased (B = 4.79, P < 0.001). Stigmatisation related to Ebola positively predicted anxiety (B = 5.41, P < 0.001) and depression symptoms (B = 0.4452, P = 0.009). Social support negatively predicted anxiety (B = −1.13, P = 0.004) and depression (B = −0.98, P < 0.001) symptoms but only moderated the association between stigmatisation and depression symptoms (B = −0.67, P < 0.001).

Most adolescents living in EVD-affected areas experience mental health issues. Stigmatisation related to EVD and living in urban areas are the most consistent predictors of mental health problems. Nevertheless, social support remains a protective factor for depression and anxiety symptoms and a necessary resource for building resilience.

The long-term cumulative impact of exposure to childhood adversity is well documented. There is an increasing body of literature examining protective factors following childhood adversity. However, no known reviews have summarised studies examining protective factors for broad psychosocial outcomes following childhood adversity.

To summarise the current evidence from longitudinal studies of protective factors for adult psychosocial outcomes following cumulative exposure to childhood adversity.

We conducted a formal systematic review of studies that were longitudinal; were published in a peer-reviewed journal; examined social, environmental or psychological factors that were measured following a cumulative measure of childhood adversity; and resulted in more positive adult psychosocial outcomes.

A total of 28 studies from 23 cohorts were included. Because of significant heterogeneity and conceptual differences in the final sample of articles, a meta-analysis was not conducted. The narrative review identified that social support is a protective factor specifically for mental health outcomes following childhood adversity. Findings also suggest that aspects of education are protective factors to adult socioeconomic, mental health and social outcomes following childhood adversity. Personality factors were protective for a variety of outcomes, particularly mental health. The personality factors were too various to summarise into meaningful combined effects. Overall GRADE quality assessments were low and very low, although these scores mostly reflect that all observational studies are low quality by default.

These findings support strategies that improve connection and access to education following childhood adversity exposure. Further research is needed for the roles of personality and dispositional factors, romantic relationship factors and the combined influences of multiple protective factors.

There is insufficient evidence to support the pharmacological treatment of borderline personality disorder. However, previous out-patient cohorts have described high rates of polypharmacy in this group. So far, there have been no national studies that have considered polypharmacy in borderline personality disorder.

To describe psychotropic polypharmacy in people with borderline personality disorder in New Zealand.

New Zealand's national databases have been used to link psychotropic medication dispensing data and diagnostic data for borderline personality disorder. Annual dispensing data for 2014 and 2019 have been compared.

Fifty percent of people with borderline personality disorder who were dispensed medications had three or more psychotropic medications in 2014. This increased to 55.9% in 2019 (P < 0.001). Those on seven or more psychotropics increased from 8.4 to 10.7% (P < 0.023). Quetiapine was the most dispensed psychotropic medication, being given to 53.8% of people dispensed medication with borderline personality disorder in 2019. Lorazepam dispensing showed the largest increase, going from 15.5 to 26.7% between 2014 and 2019 (P < 0.001).

There is a large burden of psychotropic polypharmacy in people with borderline personality disorder. This is concerning because of the lack of evidence regarding the efficacy of these medications in this group.

There is uncertainty around the costs and health impacts of undiagnosed mental health problems.

Using survey data, we aim to understand the costs and health-related quality-of-life decrements from undiagnosed anxiety/depression.

We analysed survey data from two waves of the North West Coast Household Health Survey, which included questions on disease, medications, and Patient Health Questionnaire 9 (PHQ-9) and Generalised Anxiety Disorder 7 (GAD-7) scores (depression and anxiety scales). People were judged as having undiagnosed anxiety/depression problems if they scored ≥5 on the PHQ-9 or GAD-7, and did not declare a mental health issue or antidepressant prescription. Linear regression for EuroQol 5-Dimension 3-Level (EQ-5D-3L) index scores, and Tweedie regression for health and social care costs, were used to estimate the impact of undiagnosed mental health problems, controlling for age, gender, deprivation and other health conditions.

Around 26.5% of participants had undiagnosed anxiety/depression. The presence of undiagnosed anxiety/depression was associated with reduced EQ-5D-3L index scores (0.040 lower on average) and increased costs (£250 ($310) per year on average). Using a higher cut-off score of 10 on the PHQ-9 and GAD-7 for undiagnosed anxiety/depression had similar increased costs but a greater reduction in EQ-5D-3L index scores (0.076 on average), indicating a larger impact on health-related quality of life.

Having undiagnosed anxiety or depression increases costs and reduces health-related quality of life. Reducing stigma and increasing access to cost-effective treatments will have population health benefits.

Adolescence is a pivotal stage vulnerable to mental health problems such as anxiety and depression. Although self-acceptance and social comparison are known to affect adolescent mental health, their interactive and moderating roles are not fully understood.

To explore the role of self-acceptance, social comparison and attributional style in predicting these mental health outcomes among adolescents in clinical settings.

A cross-sectional study was conducted on a sample of 242 adolescents. Participants completed measures assessing self-acceptance, social comparison, attributional style and mental health outcomes (depression and anxiety). Mediation models and multi-group analysis were used to examine the relationships among these variables.

Our findings demonstrated a significant relationship between self-acceptance, social comparison, depression and anxiety (rs = 0.32–0.88). Specifically, lower self-acceptance and higher social comparison were associated with higher levels of depression and anxiety. Additionally, individuals with external attributional tendencies reported higher depression (Cohen's d = 0.61) and anxiety (d = 0.58) compared with those with internal tendencies. Mediation modelling showed that social comparison is a mediator between self-acceptance and depression (effect size −0.04, 95% CI −0.08 to −0.01) and anxiety (effect size −0.06, 95% CI −0.10 to −0.02). Crucially, multi-group analysis showed that the impact of social comparison on mental health outcomes varied significantly based on attributional style.

These findings underscore the importance of considering self-acceptance, social comparison and attributional style in understanding and addressing mental health challenges during adolescence. This could inform the development of targeted interventions to promote mental health and well-being among adolescents. However, further research is needed to confirm these findings in diverse populations and to explore the underlying mechanisms in greater detail.

From a global perspective, eating disorders are increasingly common, probably because of societal transformation and improved detection. However, research on the impact of migration on the development of eating disorders is scarce, and previously reported results are conflicting.

To explore if eating disorder symptom prevalence varies according to birth region, parents’ birth region and neighbourhood characteristics, and analyse if the observed patterns match the likelihood of being in specialist treatment.

This study uses data from a large population-based health survey (N = 47 662) among adults in Stockholm, Sweden. A general linear model for complex samples, including adjustment for gender and age, was used to explore self-reported eating disorder symptoms. Odds ratios were calculated for individual symptoms.

Eating disorder symptoms are substantially more common in individuals born abroad, especially for migrants from a non-European country. This holds true for all surveyed symptoms, including restrictive eating (odds ratio 5.5, 95% CI 4.5–6.7), compensatory vomiting (odds ratio 6.1, 95% CI 4.6–8.0), loss-of-control eating (odds ratio 2.6, 95% CI 2.3–3.1) and preoccupation with food (odds ratio 2.3, 95% CI 1.9–2.8). Likewise, symptoms are more common in individuals with both parents born abroad and individuals living in districts with a high percentage of migrant residents. A gap exists between district-level symptom scores and the likelihood of being in specialist eating disorder treatment.

These findings call for oversight of current outreach strategies, and highlight the need for efforts to reduce stigma and increase eating disorder symptom recognition in broader groups.

Down syndrome is the most common genetic cause of intellectual disability and Alzheimer's disease. In the general population, common mental disorders (CMDs), including anxiety, depression and obsessive–compulsive disorder, are linked to cognitive decline and higher risk for dementia. It is not known how CMDs affect longer-term cognitive outcomes in Down syndrome, and there is often diagnostic uncertainty in older people with Down syndrome and psychiatric comorbidity.

To study the influence of CMDs on cognitive ability and whether they are related longitudinally to development of clinical signs of Alzheimer's disease in Down syndrome.

We followed 115 individuals with Down syndrome, 27 of whom were diagnosed with a CMD, over approximately 3 years. Changes in cognitive and behavioural outcomes between baseline and follow-up assessment were analysed, with comparisons made between those with and without a comorbid CMD. Age, gender, apolipoprotein E status and level of intellectual disability were included as covariates.

No significant association between presence of a CMD and poorer performance on cognitive tasks or informant-rated decline over time was observed (P > 0.05).

Our results suggest that a diagnosis of a CMD does not have a significant negative effect on long-term cognitive or behavioural outcomes in individuals with Down syndrome. In individuals with stable or treated CMD, subsequent cognitive decline is likely indicative of Alzheimer's disease rather than a consequence of mental disorder.

Growing evidence suggests that in addition to pathophysiological, there are psychological risk factors involved in the development of Long COVID. Illness-related anxiety and dysfunctional symptom expectations seem to contribute to symptom persistence.

With regard to the development of effective therapies, our primary aim is to investigate whether symptoms of Long COVID can be improved by a targeted modification of illness-related anxiety and dysfunctional symptom expectations. Second, we aim to identify additional psychosocial risk factors that contribute to the persistence of Long COVID, and compare them with risk factors for symptom persistence in other clinical conditions.

We will conduct an observer-blinded, three-arm, randomised controlled trial. A total of 258 patients with Long COVID will be randomised into three groups of equal size: targeted expectation management in addition to treatment as usual (TAU), non-specific supportive treatment plus TAU, or TAU only. Both active intervention groups will comprise three individual online video consultation sessions and a booster session after 3 months. The primary outcome is baseline to post-interventional change in overall somatic symptom severity.

The study will shed light onto the action mechanisms of a targeted expectation management intervention for Long COVID, which, if proven effective, can be used stand-alone or in the context of broader therapeutic approaches. Further, the study will enable a better understanding of symptom persistence in Long COVID by identifying additional psychological risk factors.

In England, a range of mental health crisis care models and approaches to organising crisis care systems have been implemented, but characteristics associated with their effectiveness are poorly understood.

To (a) develop a typology of catchment area mental health crisis care systems and (b) investigate how crisis care service models and system characteristics relate to psychiatric hospital admissions and detentions.

Crisis systems data were obtained from a 2019 English national survey. Latent class analyses were conducted to identify discernible typologies, and mixed-effects negative binomial regression models were fitted to explore associations between crisis care models and admissions and detention rates, obtained from nationally reported data.

No clear typology of catchment area crisis care systems emerged. Regression models suggested that provision of a crisis telephone service within the local crisis system was associated with a 11.6% lower admissions rate and 15.3% lower detention rate. Provision of a crisis cafe was associated with a 7.8% lower admission rates. The provision of a crisis assessment team separate from the crisis resolution and home treatment service was associated with a 12.8% higher admission rate.

The configuration of crisis care systems varies considerably in England, but we could not derive a typology that convincingly categorised crisis care systems. Our results suggest that a crisis phone line and a crisis cafe may be associated with lower admission rates. However, our findings suggest crisis assessment teams, separate from home treatment teams, may not be associated with reductions in admission and detentions.

Sleep problems associated with poor mental health and academic outcomes may have been exacerbated by the COVID-19 pandemic.

To describe sleep in undergraduate students during the COVID-19 pandemic.

This longitudinal analysis included data from 9523 students over 4 years (2018–2022), associated with different pandemic phases. Students completed a biannual survey assessing risk factors, mental health symptoms and lifestyle, using validated measures. Sleep was assessed with the Sleep Condition Indicator (SCI-8). Propensity weights and multivariable log-binomial regressions were used to compare sleep in four successive first-year cohorts. Linear mixed-effects models were used to examine changes in sleep over academic semesters and years.

There was an overall decrease in average SCI-8 scores, indicating worsening sleep across academic years (average change −0.42 per year; P-trend < 0.001), and an increase in probable insomnia at university entry (range 18.1–29.7%; P-trend < 0.001) before and up to the peak of the pandemic. Sleep improved somewhat in autumn 2021, when restrictions loosened. Students commonly reported daytime sleep problems, including mood, energy, relationships (36–48%) and concentration, productivity, and daytime sleepiness (54–66%). There was a consistent pattern of worsening sleep over the academic year. Probable insomnia was associated with increased cannabis use and passive screen time, and reduced recreation and exercise.

Sleep difficulties are common and persistent in students, were amplified by the pandemic and worsen over the academic year. Given the importance of sleep for well-being and academic success, a preventive focus on sleep hygiene, healthy lifestyle and low-intensity sleep interventions seems justified.

People with mental disorders have worse physical health compared with the general population, which could be attributable to receiving poorer quality healthcare.

To examine the relationship between severe and common mental disorders and risk of emergency hospital admissions for ambulatory care sensitive conditions (ACSCs), and factors associated with increased risk.

Baseline data for England (N = 445 814) were taken from UK Biobank, which recruited participants aged 37–73 years during 2006–2010, and linked to hospital admission records up to 31 December 2019. Participants were grouped into those with a history of either schizophrenia, bipolar disorder, depression or anxiety, or no mental disorder. Survival analysis was used to assess the risk of hospital admission for ACSCs among those with mental disorders compared with those without, adjusting for factors in different domains (sociodemographic, socioeconomic, health and biomarkers, health-related behaviours, social isolation and psychological).

People with schizophrenia had the highest (unadjusted) risk of hospital admission for ACSCs compared with those with no mental disorder (hazard ratio 4.40, 95% CI 4.04–4.80). People with bipolar disorder (hazard ratio 2.48, 95% CI 2.28–2.69) and depression or anxiety (hazard ratio 1.76, 95% CI 1.73–1.80) also had higher risk. Associations were more conservative when including all admissions, as opposed to first admissions only. The observed associations persisted after adjusting for a range of factors.

People with severe mental disorders have the highest risk of preventable hospital admissions. Ensuring people with mental disorders receive adequate ambulatory care is essential to reduce the large health inequalities they experience.

Estimates suggest that 1 in 100 people in the UK live with facial scarring. Despite this incidence, psychological support is limited.

The aim of this study was to strengthen the case for improving such support by determining the incidence and risk factors for anxiety and depression disorders in patients with facial scarring.

A matched cohort study was performed. Patients were identified via secondary care data sources, using clinical codes for conditions resulting in facial scarring. A diagnosis of anxiety or depression was determined by linkage with the patient's primary care general practice data. Incidence was calculated per 1000 person-years at risk (PYAR). Logistic regression was used to determine risk factors.

Between 2009 and 2018, 179 079 patients met the study criteria and were identified as having a facial scar, and matched to 179 079 controls. The incidence of anxiety in the facial scarring group was 10.05 per 1000 PYAR compared with 7.48 per 1000 PYAR for controls. The incidence of depression in the facial scarring group was 16.28 per 1000 PYAR compared with 9.56 per 1000 PYAR for controls. Age at the time of scarring, previous history of anxiety or depression, female gender, socioeconomic status and classification of scarring increased the risk of both anxiety disorders and depression.

There is a high burden of anxiety disorders and depression in this patient group. Risk of these mental health disorders is very much determined by factors apparent at the time of injury, supporting the need for psychological support.

Situational judgement test (SJT) scores have been observed to predict actual workplace performance. They are commonly used to assess non-academic attributes as part of selection into many healthcare roles. However, no validated SJT yet exists for recruiting into mental health services.

To develop and validate an SJT that can evaluate procedural knowledge of professionalism in applicants to clinical roles in mental health services.

SJT item content was generated through interviews and focus groups with 56 professionals, patients and carers related to a large National Health Service mental health trust in England. These subject matter experts informed the content of the final items for the SJT. The SJT was completed by 73 registered nurses and 36 allied health professionals (AHPs). The primary outcome measure was supervisor ratings of professionalism and effectiveness on a relative percentile rating scale and was present for 69 of the participating nurses and AHPs. Personality assessment scores were reported as a secondary outcome.

SJT scores statistically significantly predicted ratings of professionalism (β = 0.31, P = 0.01) and effectiveness (β = 0.32, P = 0.01). The scores demonstrated statistically significant incremental predictive validity over the personality assessment scores for predicting supervisor ratings of professionalism (β = 0.26, P = 0.03).

These findings demonstrate that a carefully designed SJT can validly assess important personal attributes in clinicians working in mental health services. Such assessments are likely to represent evidence based, cost-effective tools that can support values-based recruitment to mental health service roles.

There is a common perception that creativity is associated with psychopathology. Previous studies have shown that members of creative groups such as comedians, artists and scientists scores higher than the norm on psychotic traits, and scientists in STEM (science, technology, engineering and mathematics) fields score highly on autistic traits.

To test whether magicians, a creative group that has not been studied before, also score highly on psychopathological traits and autism, and to test the associations of creative self-efficacy and creative identity with schizotypal and autistic traits among magicians.

A sample of 195 magicians and 233 people from the general population completed measures of schizotypal traits (Oxford–Liverpool Inventory of Feelings and Experiences) and autism (Abridged Version of the Autism-Spectrum Quotient), as well as the Short Scale of Creative Self. Magicians were also compared with other creative groups with respect to schizotypal traits, based on previously published data.

Magicians scored lower than the general population sample on three of the four schizophrenia measures (cognitive disorganisation, introvertive anhedonia and impulsive nonconformity) but did not differ with respect to unusual experiences or autism scores. Magicians scored higher on creative self-efficacy and creative personal identity than the general sample. Magicians’ scores on schizotypal traits were largely lower than those of other creative groups. Originality of magic was positively correlated with unusual experiences (r = 0.208), creative self-efficacy (r = 0.251) and creative identity (r = 0.362).

This is the first study to show a creative group with lower scores than norms on psychotic traits. The results highlight the unique characteristics of magicians and the possible myriad associations between creativity and mental disorders among creative groups.

Globally, stigma associated with mental, neurological and substance use (MNS) disorders is rampant and a barrier to good health and overall well-being of people with these conditions. Person-centred digital approaches such as participatory video may reduce stigma, but evidence on their effectiveness in Africa is absent.

To evaluate the effectiveness of participatory video in reducing mental health-related stigma in a resource-limited setting.

We evaluated the effectiveness of using participatory video and face-to-face interaction between people with MNS disorders and a target audience in lowering stigma among 420 people living in Kilifi, Kenya. Changes in knowledge, attitudes and behaviour (KAB) were measured by comparing baseline scores with scores immediately after watching the participatory videos and 4 months after the intervention. Sociodemographic correlates of stigma scores were examined using multivariable linear regression models.

Compared with baseline, KAB scores significantly improved at both time points, suggesting reduced stigma levels. At 4 months, the changes in scores were: knowledge (β = 0.20, 95% CI 0.16–0.25; P < 0.01), liberal attitude (β = 1.08, 95% CI 0.98–1.17; P < 0.01), sympathetic attitude (β = 0.52, 95% CI 0.42–0.62; P < 0.01), tolerant attitude (β = 0.72, 95% CI 0.61–0.83; P < 0.01) and behaviour (β = 0.37, 95% CI 0.31–0.43; P < 0.01). Sociodemographic variables were significantly correlated with KAB scores; the correlations were not consistent across the domains.

Participatory video is a feasible and effective strategy in improving knowledge, attitudes and intended behaviour in a resource-limited setting. Further studies are required to understand the mechanisms through which it lowers stigma and to examine long-term sustainability and the effectiveness of multicomponent interventions.