In the United Kingdom, 14.6 million people reported having a disability in the year 2020–2021. Cognition may be one factor that contributes to disability, as previous studies have shown that cognitive abilities predict later health outcomes and prevalence of disability increases with decreasing cognitive function. Furthermore, studies have demonstrated a link between cognition and common psychiatric disorders, such as depression and anxiety. To our knowledge, no studies have examined the role of current mental health in the association between cognition and disability in a general population sample. The aim of this study was to examine the relationship between cognition, mental health and measures of disability/daily functioning in an online population sample. Our hypotheses were: 1) that lower cognitive performance would be associated with increased reported disability, and 2) that this association would be partly explained by current depression and anxiety symptoms.

The sample consisted of 3679 participants recruited from HealthWise Wales. Participants completed the Cardiff ONline Cognitive Assessment, a web-based battery of five tasks assessing processing speed, working memory, vocabulary, reasoning, and emotion identification. Disability was assessed using the World Health Organisation Disability Assessment Schedule (WHODAS). Real world measures of functioning were also included (currently employed, living with a partner, children and ever married). Current depression and anxiety symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS). Linear and logistic regressions were conducted to assess the associations between cognitive performance and measures of disability/functioning. Structural equation modelling was performed to assess whether these associations could be partially explained by HADS scores, as well as measures of education and health/lifestyle factors.

Higher cognitive performance was associated with lower overall WHODAS scores (B=−0.1, SE = 0.01, P = 1 × 10–13), living with a partner (OR = 1.13, 95% CIs = 1.06–1.21, P = 4.3 × 10–4) and being in employment or education (OR = 1.22, 95% CIs = 1.13–1.33, P = 2.1 × 10-6). HADS scores partially explained the relationship between cognition and: 1) WHODAS (80%), 2) employment (63%) and 3) living with a partner (37%). In addition, smoking status explained 3% of the relationship between cognition and WHODAS.

Current symptoms of depression and anxiety partially explained the relationship between cognition and three measures of disability/functioning. Alleviating these symptoms may improve patients’ daily difficulties. Future research should establish the direction of causality of these associations.

Women with bipolar disorder have a high recurrence rate in the perinatal period. However, the use of prophylactic medication can be a concern during pregnancy and breastfeeding. There are few studies looking at the impact of prophylactic medication on the risk of recurrence.The aims of this study are to describe the use of medication in women with bipolar disorder in the perinatal period and the impact of that prophylactic medication on the rate of postnatal recurrence.

The BDRN (Bipolar Disorder Research Network Study) is the largest individual network of individuals with bipolar disorder and related mood disorders in the world. The BDRN pregnancy study is a prospective observational study which took place in the UK. We collected sociodemographic, clinical and medication data from pregnant women with a diagnosis of bipolar disorder and who were euthymic entering the postpartum period. The clinical data were collected via interviews during pregnancy and the postpartum and access to clinical records where those were available.

Data were analysed for association using χ2 tests and logistic regression.

Our total sample for this analysis comprised of 103 women who met the criteria.

We found that 71 (70%) were taking medication at delivery: 43 (43%) antipsychotics, 9 (9%) antidepressants, 10 (10%) mood stabilisers, (6 lithium, 4 anticonvulsants and 9 multiple medication classes).

Of the total sample, 44 (43%) experienced a postpartum recurrence: 21 (20%) had an episode of postpartum psychosis, 15 (15%) of non-psychotic depression and 8 (8%) of hypomania. Of the postpartum psychotic episodes 11 were of mania with psychosis, 8 of mania without psychosis and 2 of psychotic depression.

There was no significant association between taking medication at delivery and postpartum recurrence χ2 (1)=0.116, p=0.73.

In a multivariable analysis there continued to be no association when adjusted for age, ethnicity, parity, severity (previous admissions, age at impairment, bipolar subtype) and previous psychotic symptoms aOR 1.35 95%CI [0.45; 4.00], p=0.59.

A high number of bipolar women are taking medication at delivery and in the majority, antipsychotics are prescribed. The postnatal recurrence rate in both medicated and unmedicated women is high.

Our findings align with recent electronic health records and observational studies, but differ from older clinical cohort and higher Lithium-prescribing sample studies. Limitations include the study design and confounding by indication. Further research in larger populations is necessary to inform clinical decision-making for women and their healthcare providers.

Current psychiatric diagnoses, although heritable, have not been clearly mapped onto distinct underlying pathogenic processes. The same symptoms often occur in multiple disorders, and a substantial proportion of both genetic and environmental risk factors are shared across disorders. However, the relationship between shared symptoms and shared genetic liability is still poorly understood.

Well-characterised, cross-disorder samples are needed to investigate this matter, but few currently exist. Our aim is to develop procedures to purposely curate and aggregate genotypic and phenotypic data in psychiatric research.

As part of the Cardiff MRC Mental Health Data Pathfinder initiative, we have curated and harmonised phenotypic and genetic information from 15 studies to create a new data repository, DRAGON-Data. To date, DRAGON-Data includes over 45 000 individuals: adults and children with neurodevelopmental or psychiatric diagnoses, affected probands within collected families and individuals who carry a known neurodevelopmental risk copy number variant.

We have processed the available phenotype information to derive core variables that can be reliably analysed across groups. In addition, all data-sets with genotype information have undergone rigorous quality control, imputation, copy number variant calling and polygenic score generation.

DRAGON-Data combines genetic and non-genetic information, and is available as a resource for research across traditional psychiatric diagnostic categories. Algorithms and pipelines used for data harmonisation are currently publicly available for the scientific community, and an appropriate data-sharing protocol will be developed as part of ongoing projects (DATAMIND) in partnership with Health Data Research UK.

Bipolar disorder is a chronic and severe mental health disorder. Early stratification of individuals into subgroups based on age at onset (AAO) has the potential to inform diagnosis and early intervention. Yet, the psychosocial predictors associated with AAO are unknown.

We aim to identify psychosocial factors associated with bipolar disorder AAO.

Using data from the Bipolar Disorder Research Network UK, we employed least absolute shrinkage and selection operator regression to identify psychosocial factors associated with bipolar disorder AAO. Twenty-eight factors were entered into our model, with AAO as our outcome measure.

We included 1022 participants with bipolar disorder (μ = 23.0, s.d. ± 9.86) in our model. Six variables predicted an earlier AAO: childhood abuse (β = −0.2855), regular cannabis use in the year before onset (β = −0.2765), death of a close family friend or relative in the 6 months before onset (β = −0.2435), family history of suicide (β = −0.1385), schizotypal personality traits (β = −0.1055) and irritable temperament (β = −0.0685). Five predicted a later AAO: the average number of alcohol units consumed per week in the year before onset (β = 0.1385); birth of a child in the 6 months before onset (β = 0.2755); death of parent, partner, child or sibling in the 6 months before onset (β = 0.3125); seeking work without success for 1 month or more in the 6 months before onset (β = 0.3505) and a major financial crisis in the 6 months before onset (β = 0.4575).

The identified predictor variables have the potential to help stratify high-risk individuals into likely AAO groups, to inform treatment provision and early intervention.

Psychiatric mother and baby units (MBUs) are recommended for severe perinatal mental illness, but effectiveness compared with other forms of acute care remains unknown.

We hypothesised that women admitted to MBUs would be less likely to be readmitted to acute care in the 12 months following discharge, compared with women admitted to non-MBU acute care (generic psychiatric wards or crisis resolution teams (CRTs)).

Quasi-experimental cohort study of women accessing acute psychiatric care up to 1 year postpartum in 42 healthcare organisations across England and Wales. Primary outcome was readmission within 12 months post-discharge. Propensity scores were used to account for systematic differences between MBU and non-MBU participants. Secondary outcomes included assessment of cost-effectiveness, experience of services, unmet needs, perceived bonding, observed mother–infant interaction quality and safeguarding outcome.

Of 279 women, 108 (39%) received MBU care, 62 (22%) generic ward care and 109 (39%) CRT care only. The MBU group (n = 105) had similar readmission rates to the non-MBU group (n = 158) (aOR = 0.95, 95% CI 0.86–1.04, P = 0.29; an absolute difference of −5%, 95% CI −14 to 4%). Service satisfaction was significantly higher among women accessing MBUs compared with non-MBUs; no significant differences were observed for any other secondary outcomes.

We found no significant differences in rates of readmission, but MBU advantage might have been masked by residual confounders; readmission will also depend on quality of care after discharge and type of illness. Future studies should attempt to identify the effective ingredients of specialist perinatal in-patient and community care to improve outcomes.