Domestic violence and abuse (DVA) and mental illness during pregnancy have long-lasting and potentially serious consequences, which may have been exacerbated during the COVID-19 pandemic.

To investigate how the UK COVID-19 lockdown policy influenced the identification of DVA and depressive symptoms during pregnancy in health services in South-East London in Spring 2020, using eLIXIR (Early-Life Data Cross-Linkage in Research) maternity and mental routine healthcare data.

We used a regression discontinuity approach, with a quasi-experimental study design, to analyse the effect of the transition into and out of the COVID-19 lockdown on the rates of positive depression screens, DVA recorded in maternity and secondary mental health services, and contact with secondary mental health services during pregnancy.

We analysed 26 447 pregnancies from 1 October 2018 to 29 August 2020. The rate of DVA recorded in maternity services was low throughout the period (<0.5%). Within secondary mental health services, rates of DVA dropped by 78% (adjusted odds ratio 0.219, P = 0.012) during lockdown, remaining low after lockdown. The rate of women screening positive for depression increased by 40% (adjusted odds ratio 1.40, P = 0.023), but returned to baseline after lockdown lifted.

Rates of DVA identification in secondary mental health services dropped during and after lockdown, whereas overall rates of DVA identified in maternity services were concerningly low. Healthcare services must adopt guidance to facilitate safe enquiry, particularly in remote consultations. Further research is vital to address the longer-term impact on women's mental health caused by the increase in depression during the lockdown.

Research suggests that increasing neighbourhood social cohesion can prevent mental health problems, including depression and anxiety. However, it is unknown whether this is the case for adolescents and young adults.

To investigate whether neighbourhood social cohesion can prevent depression and anxiety, and identify interventions that can increase neighbourhood cohesion in young people.

We conducted a rapid review for an overview of the available literature. PubMed, Campbell Collaboration, KSR Ltd and grey literature databases were searched from inception up to 10 July 2020. When synthesising the results, we applied a hierarchy of evidence, prioritising study designs that allowed for the most ability to infer causality. Risk of bias was assessed with the ROBIS tool and Joanna Briggs Institute risk-of-bias assessment. A narrative review and two workshops with young people were conducted to inform what future interventions may look like.

Forty-two peer-reviewed publications, including two systematic reviews, 13 longitudinal studies and 27 cross-sectional studies, were identified. Prospective longitudinal studies found that neighbourhood social cohesion factors (safety, trust, positive social connections, helping others and a lack of crime and violence) were associated with fewer depressive symptoms. Future interventions to increase neighbourhood cohesion should involve creating safe and attractive community centres, accessible and safe outdoor spaces, community activity groups and online communities.

Neighbourhood social cohesion has the potential to protect mental health. The next step is to conduct intervention studies to evaluate the effects on onset prevention. Clinicians should consider the impact cohesion can have on mental health, and signpost to community initiatives.

Cognitive impairment is common in people with mental disorders, leading to transdiagnostic classification based on cognitive characteristics. However, few studies have used this approach for intellectual abilities and functional outcomes.

The present study aimed to classify people with mental disorders based on intellectual abilities and functional outcomes in a data-driven manner.

Seven hundred and forty-nine patients diagnosed with schizophrenia, bipolar disorder, major depression disorder or autism spectrum disorder and 1030 healthy control subjects were recruited from facilities in various regions of Japan. Two independent k-means cluster analyses were performed. First, intelligence variables (current estimated IQ, premorbid IQ, and IQ discrepancy) were included. Second, number of work hours per week was included instead of premorbid IQ.

Four clusters were identified in the two analyses. These clusters were specifically characterised in terms of IQ discrepancy in the first cluster analysis, whereas the work variable was the most salient feature in the second cluster analysis. Distributions of clinical diagnoses in the two cluster analyses showed that all diagnoses were unevenly represented across the clusters.

Intellectual abilities and work outcomes are effective classifiers in transdiagnostic approaches. The results of our study also suggest the importance of diagnosis-specific strategies to support functional recovery in people with mental disorders.

Having a long-term condition (LTC) significantly affects mental health. UK policy requires effective mental health provisions for patients with an LTC, generally provided by Improving Access to Psychological Therapies (IAPT) services. National IAPT data suggest that patients with an LTC typically demonstrate poorer outcomes compared with patients without an LTC. However, exploration of confounding factors and different outcome variables is limited.

To establish the association of LTC status with demographic and clinical factors, and clinical mental health outcomes.

Anonymised patient-level data from a London IAPT service during January 2019 to October 2020 were used in this cohort study, to compare differences between LTC and non-LTC groups on sociodemographic and clinical variables. Binary logistic and multiple linear regression models were constructed for binary outcome variables (recovery and reliable improvement) and continuous outcomes (distress and functioning), respectively.

Patients with an LTC were more likely to be female; older; from a Black, mixed or other ethnic background; and have greater social deprivation. Across the four clinical outcomes (recovery, reliable improvement, final psychological distress and final functioning), having an LTC significantly predicted poorer outcomes even after controlling for sociodemographic and clinical baseline variables. For three outcome variables, greater social deprivation and being discharged during the COVID-19 pandemic also predicted poorer clinical outcomes.

LTC status has a negative effect on mental health outcomes in IAPT services, independent of associated variables such as severity of baseline mental health symptoms, ethnicity and social deprivation. Effective psychological treatment for patients with an LTC remains an unresolved priority.

Self-harm, including suicide, is common among prisoners. Staff attitudes and perceptions regarding self-harm may affect quality of care and patient safety.

To systematically review the experiences, perceptions and attitudes of staff in adult prisons regarding self-harm.

Systematic searches of EMBASE, Medline, PsycINFO and CINAHL databases were conducted, and supplemented by hand-searching and grey literature review, to identify relevant English-language articles published since the year 2000. Articles were screened by two authors and evaluated with standardised quality appraisal tools. Qualitative data were analysed thematically, whereas quantitative data were narratively synthesised because of high study heterogeneity.

Two thousand articles were identified, of which 32 were included, involving 6389 participants from five countries. Most studies were moderate (n = 15) or poor (n = 10) quality, and seven were rated as good quality. Staff frequently witnessed self-harm and described multiple perceived risk factors and causes of this. Perceptions that self-harm is ‘manipulative’ or ‘attention-seeking’ were associated with hostility toward prisoners and lower quality of care. Perceived barriers to preventing and managing self-harm included low staffing levels, prison environments and culture, poor staff confidence and insufficient training. The importance of multidisciplinary teamwork and building staff–prisoner relationships were highlighted. Staff occasionally experienced intense psychological reactions to self-harm, which resulted in adaptive or maladaptive coping that influenced their capacity to care.

There are mixed attitudes and perceptions toward self-harm among prison staff. Further training, support and resources are required to protect staff's well-being and improve self-harm prevention and management in prisons.

Waves 1 to 3 (March 2020 to May 2020) of the UK COVID-19 Mental Health and Wellbeing study suggested an improvement in some indicators of mental health across the first 6 weeks of the UK lockdown; however, suicidal ideation increased.

To report the prevalence of mental health and well-being of adults in the UK from March/April 2020 to February 2021.

Quota sampling was employed at wave 1 (March/April 2020), and online surveys were conducted at seven time points. Primary analyses cover waves 4 (May/June 2020), 5 (July/August 2020), 6 (October 2020) and 7 (February 2021), including a period of increased restrictions in the UK. Mental health indicators were suicidal ideation, self-harm, suicide attempt, depression, anxiety, defeat, entrapment, loneliness and well-being.

A total of 2691 (87.5% of wave 1) individuals participated in at least one survey between waves 4 and 7. Depressive symptoms and loneliness increased from October 2020 to February 2021. Defeat and entrapment increased from July/August 2020 to October 2020, and remained elevated in February 2021. Well-being decreased from July/August 2020 to October 2020. Anxiety symptoms and suicidal ideation did not change. Young adults, women, those who were socially disadvantaged and those with a pre-existing mental health condition reported worse mental health.

The mental health and well-being of the UK population deteriorated from July/August 2020 to October 2020 and February 2021, which coincided with the second wave of COVID-19. Suicidal thoughts did not decrease significantly, suggesting a need for continued vigilance as we recover from the pandemic.

Psychological models of suicidal experiences are largely based on cross-sectional or long-term prospective data with follow-up intervals typically greater than 1 year. Recent time-series analyses suggest that these models may not account for fluctuations in suicidal thinking that occur within a period of hours and/or days.

We explored whether previously posited causal relationships between defeat, entrapment and suicidal ideation accounted for temporal associations between these experiences at small time intervals from 3 to 12 h.

Participants (N = 51) completed an ecological momentary assessment (EMA) study, comprising repeated assessments at semi-random time points up to six times per day for 1 week, resulting in 1852 completed questionnaires. Multilevel vector autoregression was used to calculate temporal associations between variables at different time intervals (i.e. 3 to 12 h between measurements).

The results showed that entrapment severity was temporally associated with current and later suicidal ideation, consistently over these time intervals. Furthermore, entrapment had two-way temporal associations with defeat and suicidal ideation at time intervals of approximately 3 h. The residual and contemporaneous network revealed significant associations between all variables, of which the association between entrapment and defeat was the strongest.

Although entrapment is key in the pathways leading to suicidal ideation over time periods of months, our results suggest that entrapment may also account for the emergence of suicidal thoughts across time periods spanning a few hours.

Smartphones can facilitate patients completing surveys and collecting sensor data to gain insight into their mental health conditions. However, the utility of sensor data is still being explored. Prior studies have reported a wide range of correlations between passive data and survey scores.

To explore correlations in a large data-set collected with the mindLAMP app. Additionally, we explored whether passive data features could be used in models to predict survey results.

Participants were asked to complete daily and weekly mental health surveys. After screening for data quality, our sample included 147 college student participants and 270 weeks of data. We examined correlations between six weekly surveys and 13 metrics derived from passive data features. Finally, we trained logistic regression models to predict survey scores from passive data with and without daily surveys.

Similar to other large studies, our correlations were lower than prior reports from smaller studies. We found that the most useful features came from GPS, call, and sleep duration data. Logistic regression models performed poorly with only passive data, but when daily survey scores were included, performance greatly increased.

Although passive data alone may not provide enough information to predict survey scores, augmenting this data with short daily surveys can improve performance. Therefore, it may be that passive data can be used to refine survey score predictions and clinical utility may be derived from the combination of active and passive data.

Terrorist attacks have strong psychological effects on rescue workers, and there is a demand for effective and targeted interventions.

The present systematic review aims to examine the mental health outcomes of exposed emergency service personnel over time, and to identify risk and resilience factors.

A literature search was carried out on PubMed and PubPsych until 27 August 2021. Only studies with a real reported incident were included. The evaluation of the study quality was based on the Quality Assessment Tool for Quantitative Studies, and the synthesis used the ‘Guidance on the Conduct of Narrative Synthesis in Systematic Reviews’.

Thirty-three articles including 159 621 individuals were identified, relating to five different incidents with a post-event time frame ranging from 2 weeks to 13 years. The post-traumatic stress disorder prevalence rates were between 1.3 and 16.5%, major depression rates were between 1.3 and 25.8%, and rates for specific anxiety disorders were between 0.7 and 14%. The highest prevalence rates were found after the World Trade Center attacks. Reported risk factors were gender, no emergency service training, peritraumatic dissociation, spatial proximity to the event and social isolation.

The inconsistency of the prevalence rates may be attributable to the different severities of the incidents. Identified risk factors could be used to optimise training for emergency personnel before and after catastrophic events. Voluntary repetitive screening of rescue workers for mental health symptoms is recommended.

Euthanasia and assisted suicide (EAS) are practices that aim to alleviate the suffering of people with life-limiting illnesses, but are controversial. One area of debate is the relationship between EAS and suicide rates in the population, where there have been claims that availability of EAS will reduce the number of self-initiated deaths (EAS and suicide combined). Others claim that legislation for EAS makes it acceptable to end one's own life, a message at variance with that of suicide prevention campaigns.

To examine the relationship between the introduction of EAS and rates of non-assisted suicide and self-initiated death.

We conducted a systematic review to examine the association between EAS and rates of non-assisted suicide and of self-initiated death. We searched PubMed, Scopus, PsycINFO and Science Direct, until 20 December 2021. Studies that examined EAS and reported data on population-based suicide rates were included.

Six studies met the inclusion criteria; four reported increases in overall rates of self-initiated death and, in some cases, increased non-assisted suicide. This increase in non-assisted suicide was mostly non-significant when sociodemographic factors were controlled for. Studies from Switzerland and Oregon reported elevated rates of self-initiated death among older women, consistent with higher rates of depressive illnesses in this population.

The findings of this review do not support the hypothesis that introducing EAS reduces rates of non-assisted suicide. The disproportionate impact on older women indicates unmet suicide prevention needs in this population.

Current neurobiological models of post-traumatic stress disorder (PTSD) assume excessive medial frontal activation and hypoactivation of cortico-limbic regions as neural markers of post-traumatic dissociation. Script-driven imagery is an established experimental paradigm that is used to study acute dissociative reactions during trauma exposure. However, there is a scarcity of experimental research investigating neural markers of dissociation; findings from existing script-driven neuroimaging studies are inconsistent and based on small sample sizes.

The current aim was to identify the neural correlates of acute post-traumatic dissociation by employing the script-driven imagery paradigm in combination with functional magnetic resonance imaging.

Functional neuroimaging data was acquired in 51 female patients with PTSD with a history of interpersonal childhood trauma. Blood-oxygen-level-dependent response during the traumatic (versus neutral) autobiographical memory recall was analysed, and the derived activation clusters were correlated with dissociation measures.

During trauma recall, enhanced activation in the cerebellum, occipital gyri, supramarginal gyrus and amygdala was identified. None of the derived clusters correlated significantly with dissociative symptoms, although patients reported increased levels of acute dissociation following the paradigm.

The present study is one of the largest functional magnetic resonance imaging investigations of dissociative neural biomarkers in patients with PTSD undergoing experimentally induced trauma confrontation to elicit symptom-specific brain reactivity. In light of the current reproducibility crisis prominent in neuroimaging research owing to costly and time-consuming data acquisition, the current (null) findings highlight the difficulty of extracting reliable neurobiological biomarkers for complex subjective experiences such as dissociation.

Psychological therapy is core component of mental healthcare. However, many people with severe mental illnesses do not receive therapy, particularly in acute mental health settings.

This study identifies barriers to delivering and accessing psychological therapies in acute mental health settings, and is the first to recommend how services can increase access from the perspectives of different stakeholders (staff, patients and carers).

Sixty participants with experiences of acute mental health wards (26 staff, 22 patients and 12 carers) were interviewed about barriers to accessing therapy in in-patient settings and how therapies should be delivered to maximise access.

Four themes were identified: (a) ‘Models of care’, including the function of in-patient wards, beliefs about the causes of mental health problems and the importance of strong leadership to support psychosocial interventions; (b) ‘Integrated care’, including the importance of psychologists being ward-based, as well as having strong links with community teams; (c) ‘Acute levels of distress’, including factors that aggravate or ameliorate the impact of this on engagement in therapy; and (d) ‘Enhancing staff capability and motivation’, which is influenced by contextual issues.

It is possible to improve access to therapy through strong leadership (that is supportive of talking treatments), flexible delivery of therapy (that considers short admissions) and a whole-systems approach that promotes ward staff understanding of the psychosocial causes of mental illness and staff well-being. It is essential to ensure continuity between in-patient and community therapy services, and for wards to have physical space to carry out therapy.

Healthcare workers are at higher risk of suicide than other occupations, and suicidal thoughts appear to have increased during the COVID-19 pandemic.

To understand the experiences of healthcare workers with frequent thoughts of suicide or self-harm during the pandemic, including factors that contributed to their distress, and the supports that they found helpful.

We used content analysis to analyse free-text responses to the Australian COVID-19 Frontline Healthcare Workers Study, from healthcare workers who reported frequent thoughts that they would be better off dead or of hurting themselves, on the Patient Health Questionnaire-9.

A total of 262 out of 7795 healthcare workers (3.4%) reported frequent thoughts of suicide or self-harm in the preceding 2 weeks. They described how the pandemic exacerbated pre-existing challenges in their lives, such as living with a mental illness, working in an unsupportive environment and facing personal stressors like relationship violence or unwell family members. Further deterioration in their mental health was triggered by heavier obligations at home and work, amid painful feelings of loneliness. They reported that workplace demands rose without additional resources, social and emotional isolation increased and many healthful activities became inaccessible. Tokenistic offers of support fell flat in the face of multiple barriers to taking leave or accessing professional help. Validation of distress, improved access to healthcare and a stronger sense of belonging were identified as helpful supports.

These findings highlight the need for better recognition of predisposing, precipitating, perpetuating and protective factors for thoughts of suicide and self-harm among healthcare workers.

Although most people do not develop mental health disorders after exposure to traumatic events, they may experience subtle changes in cognitive functioning. We previously reported that 2–3 years after the Canterbury earthquake sequence, a group of trauma-exposed people, who identified as resilient, performed less well on tests of spatial memory, had increased accuracy identifying facial emotions and misclassified neutral facial expressions to threat-related emotions, compared with non-exposed controls.

The current study aimed to examine the long-term cognitive effects of exposure to the earthquakes in this resilient group, compared with a matched non-exposed control group.

At 8–9 years after the Canterbury earthquake sequence, 57 earthquake-exposed resilient (69% female, mean age 56.8 years) and 60 non-exposed individuals (63% female, mean age 55.7 years) completed a cognitive testing battery that assessed verbal and visuospatial learning and memory, executive functioning, psychomotor speed, sustained attention and social cognition.

With the exception of a measure of working memory (Digit Span Forward), no significant differences were found in performance between the earthquake-exposed resilient and non-exposed groups on the cognitive tasks. Examination of changes in cognitive functioning over time in a subset (55%) of the original earthquake-exposed resilient group found improvement in visuospatial performance and slowing of reaction times to negative emotions.

These findings offer preliminary evidence to suggest that changes in cognitive functioning and emotion processing in earthquake-exposed resilient people may be state-dependent and related to exposure to continued threat in the environment, which improves when the threat resolves.