Is psychosis a syndemic manifestation of historical and contemporary adversity? Findings from UK Biobank

Opportunities offered by latent-based multiblock strategies to integrate biomarkers of chemical exposure and biomarkers of effect in environmental health studies

Modern environmental epidemiology benefits from a new generation of technologies that enable comprehensive profiling of biomarkers, including environmental chemical exposure and omic datasets. The integration and analysis of large and structured datasets to identify functional associations is constrained by computational challenges that cannot be overcome using conventional regression methods. Some extensions of Partial Least Squares (PLS) regression have been developed to efficently integrate multiple datasets, including Multiblock PLS (MB-PLS) and Sequential and Orthogonalized PLS; however, these approaches remain seldom applied in environmental epidemiology. To address that research gap, this study aimed to assess and compare the applicability of PLS-based multiblock models in an observational case study, where biomarkers of exposure to environmental chemicals and endogenous biomarkers of effect were simultaneously integrated to highlight biological links related to a health outcome. The methods were compared with and without sparsity coupling two metrics to support the variable selection: Variable Importance in Projection (VIP) and Selectivity Ratio (SR). The framework was applied to a case-study dataset mimicking the structure of 36 environmental exposure biomarkers (E-block), 61 inflammation biomarkers (M-block), and their relationships with the gestational age at delivery of 161 mother-infant pairs. The results showed an overall consistency in the selected variables across models, although some specific selection patterns were identified. The block-scaled concatenation-based approaches (e.g. MB-PLS) tended to select more variables from the E-block, while these methods were unable to identify certain variables in the M-block. Overall, the number of variables selected using the SR criterion was higher than using the VIP criterion, with lower predictive performances. The multiblock models coupled to VIP, appeared to be the methods of choice for identifying relevant variables with similar statistical performances. Overall, the use of multiblock PLS-based methods appears to be a good strategy to efficiently support the variable selection process in modern environmental epidemiology.

Understanding psychosis complexity through a syndemic framework: A systematic review

Psychotic conditions pose significant challenges due to their complex aetiology and impact on individuals and communities. Syndemic theory offers a promising framework to understand the interconnectedness of various health and social problems in the context of psychosis. This systematic review aims to examine existing literature on testing whether psychosis is better understood as a component of a syndemic. We conducted a systematic search of 7 databases, resulting in the inclusion of five original articles. Findings from these studies indicate a syndemic characterized by the coexistence of various health and social conditions, are associated with a greater risk of psychosis, adverse health outcomes, and disparities, especially among ethnic minorities and deprived populations. This review underscores the compelling need for a new paradigm and datasets that can investigate how psychosis emerges in the context of a syndemic, ultimately guiding more effective preventive and care interventions as well as policies to improve the health of marginalised communities living in precarity.

A review of place-related contextual factors in syndemics research

This review investigates the extent to which a place-based approach has been used to conceptualize context, as well as the place-related contextual factors explored in studies that explicitly invoked a syndemic framework. The literature search focused on 29 peer-reviewed empirical syndemic studies. Only 11 studies used a place-based approach to define and measure contextual factors and the spatial context was denoted using administrative boundaries such as census tracts, counties, and countries. A narrow range of place-related contextual factors were explored and most of them were related to social and economic factors that were used to define a place. Methodological gaps like a paucity of multilevel studies and studies using a place-based approach to measure context were identified. Future syndemics research should leverage multidimensional geospatial approaches to decipher the role of place-related contextual factors in syndemic dynamics.

Ethnic inequality, multimorbidity and psychosis: can a syndemic framework resolve disputed evidence?

Syndemic theory is described as population-level clustering or co-occurrence of health conditions in the context of shared aetiologies that interact and can act synergistically. These influences appear to act within specific places of high disadvantage. We suggest ethnic inequality in experiences and outcomes of multimorbidity, including psychosis, may be explained through a syndemic framework. We discuss the evidence for each component of syndemic theory in relation to psychosis, using psychosis and diabetes as an exemplar. Following this, we discuss the practical and theoretical adaptations to syndemic theory in order to apply it to psychosis, ethnic inequality and multimorbidity, with implications for research, policy, and practice.

Work-related experiences of consultant psychiatrists during the COVID-19 response: qualitative analysis

BACKGROUND

Research has begun to draw attention to the challenges mental health professionals faced in delivering services during the COVID-19 pandemic response. However, few studies have examined the specific experiences of consultant psychiatrists.

AIMS

To examine the work-related experiences and psychosocial needs of consultant psychiatrists situated in the Republic of Ireland arising from the COVID-19 response.

METHOD

We interviewed 18 consultant psychiatrists and analysed data using inductive thematic analysis.

RESULTS

Work-related experience of participants was characterised by increased workload associated with assumption of guardianship of physical and mental health of vulnerable patients. Unintended consequences of public health restrictions increased case complexity, limited availability of alternative supports and hindered the practice of psychiatry, including inhibiting peer support systems for psychiatrists. Participants perceived available psychological supports as generally unsuitable for their needs given their specialty. Long-standing under-resourcing, mistrust in management and high levels of burnout exacerbated the psychological burden of the COVID-19 response.

CONCLUSIONS

The challenges of leading mental health services were evident in the increased complexity involved in caring for vulnerable patients during the pandemic, contributing to uncertainty, loss of control and moral distress among participants. These dynamics worked synergistically with pre-existing system-level failures, eroding capacity to mount an effective response. The longer-term psychological well-being of consultant psychiatrists - as well as the pandemic preparedness of healthcare systems - is contingent on implementation of policies addressing long-standing under-investment in the services vulnerable populations rely on, not least community mental health services.

Ethnic inequities in multimorbidity among people with psychosis: a retrospective cohort study

AIMS

Research shows persistent ethnic inequities in mental health experiences and outcomes, with a higher incidence of illnesses among minoritised ethnic groups. People with psychosis have an increased risk of multiple long-term conditions (MLTC; multimorbidity). However, there is limited research regarding ethnic inequities in multimorbidity in people with psychosis. This study investigates ethnic inequities in physical health multimorbidity in a cohort of people with psychosis.

METHODS

In this retrospective cohort study, using the Clinical Records Interactive Search (CRIS) system, we identified service-users of the South London and Maudsley NHS Trust with a schizophrenia spectrum disorder, and then additional diagnoses of diabetes, hypertension, low blood pressure, overweight or obesity and rheumatoid arthritis. Logistic and multinomial logistic regressions were used to investigate ethnic inequities in odds of multimorbidity (psychosis plus one physical health condition), and multimorbidity severity (having one or two physical health conditions, or three or more conditions), compared with no additional health conditions (no multimorbidity), respectively. The regression models adjusted for age and duration of care and investigated the influence of gender and area-level deprivation.

RESULTS

On a sample of 20 800 service-users with psychosis, aged 13-65, ethnic differences were observed in the odds for multimorbidity. Controlling for sociodemographic factors and duration of care, compared to White British people, higher odds of multimorbidity were found for people of Black African [adjusted Odds Ratio = 1.41, 95% Confidence Intervals (1.23-1.56)], Black Caribbean [aOR = 1.79, 95% CI (1.58-2.03)] and Black British [aOR = 1.64, 95% CI (1.49-1.81)] ethnicity. Reduced odds were observed among people of Chinese [aOR = 0.61, 95% CI (0.43-0.88)] and Other ethnic [aOR = 0.67, 95% CI (0.59-0.76)] backgrounds. Increased odds of severe multimorbidity (three or more physical health conditions) were also observed for people of any Black background.

CONCLUSIONS

Ethnic inequities are observed for multimorbidity among people with psychosis. Further research is needed to understand the aetiology and impact of these inequities. These findings support the provision of integrated health care interventions and public health preventive policies and actions.

Experience-based investigation and codesign of approaches to prevent and reduce Mental Health Act use (CO-PACT): a protocol

INTRODUCTION

The Independent Review of the Mental Health Act (MHA) in England and Wales confirmed increasing levels of compulsory detentions, especially for racialised communities. This research aims to: (a) understand the causes of and propose preventive opportunities to reduce the disproportionate use of the MHA, (b) use an adapted form of experience-based codesign (EBCD) to facilitate system-wide changes and (c) foreground the voices of service users at risk of detention to radically reform policy and implement new legislation to ensure the principles of equity are retained.

METHODS AND ANALYSIS

This is a qualitative study, using a comparative case study design. This study is composed of five work packages; photovoice workshops will be conducted in eight local systems with service users and healthcare professionals separately (WP1); a series of three EBCD workshops in each local system to develop approaches that reduce detentions and improve the experience of people from racialised communities. This will inform a comparative analysis and national knowledge exchange workshop (WP2); an evaluation led by the patient and public involvement group to better understand what it is like for people to participate in photovoice, codesign and participatory research (WP3); an economic evaluation (WP4) and dissemination strategy (WP5). The impact of the involvement of patients and public will be independently evaluated.

ETHICS AND DISSEMINATION

This study is sponsored by the University of Oxford and granted ethical approval from the NHS Research Ethics Committee and Health Research Authority (21/SC/0204). The outputs from this study will be shared through several local and national channels.