COVID-19 ethnic inequalities in mental health and multimorbidities: protocol for the COVEIMM study.

PURPOSE: The COVID-19 pandemic may have exacerbated ethnic health inequalities, particularly in people with multiple long-term health conditions, the interplay with mental health is unclear. This study investigates the impact of the pandemic on the association of ethnicity and multimorbidity with mortality/service use among adults, in people living with severe mental illnesses (SMI). METHODS: This study will utilise secondary mental healthcare records via the Clinical Record Interactive Search (CRIS) and nationally representative primary care records through the Clinical Practice Interactive Research Database (CPRD). Quasi-experimental designs will be employed to quantify the impact of COVID-19 on mental health service use and excess mortality by ethnicity, in people living with severe mental health conditions. Up to 50 qualitative interviews will also be conducted, co-produced with peer researchers; findings will be synthesised with quantitative insights to provide in-depth understanding of observed associations. RESULTS: 81,483 people in CRIS with schizophrenia spectrum, bipolar or affective disorder diagnoses, were alive from 1st January 2019. Psychiatric multimorbidities in the CRIS sample were comorbid somatoform disorders (30%), substance use disorders (14%) and personality disorders (12%). In CPRD, of 678,842 individuals with a prior probable diagnosis of COVID-19, 1.1% (N = 7493) had an SMI diagnosis. People in the SMI group were more likely to die (9% versus 2% in the non-SMI sample) and were more likely to have mental and physical multimorbidities. CONCLUSION: The effect of COVID-19 on people from minority ethnic backgrounds with SMI and multimorbidities remains under-studied. The present mixed methods study aims to address this gap.

Type 2 diabetes mellitus in people with severe mental illness: inequalities by ethnicity and age. Cross-sectional analysis of 588 408 records from the UK.

AIMS: To investigate whether the association of severe mental illness with Type 2 diabetes varies by ethnicity and age. METHODS: We conducted a cross-sectional analysis of data from an ethnically diverse sample of 588 408 individuals aged ≥18 years, registered to 98% of general practices (primary care) in London, UK. The outcome of interest was prevalent Type 2 diabetes. RESULTS: Relative to people without severe mental illness, the relative risk of Type 2 diabetes in people with severe mental illness was greatest in the youngest age groups. In the white British group the relative risks were 9.99 (95% CI 5.34, 18.69) in those aged 18-34 years, 2.89 (95% CI 2.43, 3.45) in those aged 35-54 years and 1.16 (95% CI 1.04, 1.30) in those aged ≥55 years, with similar trends across all ethnic minority groups. Additional adjustment for anti-psychotic prescriptions only marginally attenuated the associations. Assessment of estimated prevalence of Type 2 diabetes in severe mental illness by ethnicity (absolute measures of effect) indicated that the association between severe mental illness and Type 2 diabetes was more marked in ethnic minorities than in the white British group with severe mental illness, especially for Indian, Pakistani and Bangladeshi individuals with severe mental illness. CONCLUSIONS: The relative risk of Type 2 diabetes is elevated in younger populations. Most associations persisted despite adjustment for anti-psychotic prescriptions. Ethnic minority groups had a higher prevalence of Type 2 diabetes in the presence of severe mental illness. Future research and policy, particularly with respect to screening and clinical care for Type 2 diabetes in populations with severe mental illness, should take these findings into account.

Minority status and mental distress: a comparison of group density effects.

BACKGROUND: It has been observed that mental disorders, such as psychosis, are more common for people in some ethnic groups in areas where their ethnic group is less common. We set out to test whether this ethnic density effect reflects minority status in general, by looking at three situations where individual characteristics differ from what is usual in a locality. METHOD: Using data from the South East London Community Health study (n = 1698) we investigated associations between minority status (defined by: ethnicity, household status and occupational social class) and risk of psychotic experiences, common mental disorders and parasuicide. We used a multilevel logistic model to examine cross-level interactions between minority status at individual and neighbourhood levels. RESULTS: Being Black in an area where this was less common (10%) was associated with higher odds of psychotic experiences [odds ratio (OR) 1.34 95% confidence interval (CI) 1.07-1.67], and attempted suicide (OR 1.84 95% CI 1.19-2.85). Living alone where this was less usual (10% less) was associated with increased odds of psychotic experiences (OR 2.18 95% CI 0.91-5.26), while being in a disadvantaged social class where this was less usual (10% less) was associated with increased odds of attempted suicide (OR 1.33 95% CI 1.03-1.71). We found no evidence for an association with common mental disorders. CONCLUSIONS: The relationship between minority status and mental distress was most apparent when defined in terms of broad ethnic group but was also observed for individual household status and occupational social class.

Ethnicity and cardiovascular health inequalities in people with severe mental illnesses: protocol for the E-CHASM study.

PURPOSE: People with severe mental illnesses (SMI) experience a 17- to 20-year reduction in life expectancy. One-third of deaths are due to cardiovascular disease. This study will establish the relationship of SMI with cardiovascular disease in ethnic minority groups (Indian, Pakistani, Bangladeshi, black Caribbean, black African and Irish), in the UK. METHODS: E-CHASM is a mixed methods study utilising data from 1.25 million electronic patient records. Secondary analysis of routine patient records will establish if differences in cause-specific mortality, cardiovascular disease prevalence and disparities in accessing healthcare for ethnic minority people living with SMI exist. A nested qualitative study will be used to assess barriers to accessing healthcare, both from the perspectives of service users and providers. RESULTS: In primary care, 993,116 individuals, aged 18+, provided data from 186/189 (98 %) practices in four inner-city boroughs (local government areas) in London. Prevalence of SMI according to primary care records, ranged from 1.3-1.7 %, across boroughs. The primary care sample included Bangladeshi [n = 94,643 (10 %)], Indian [n = 6086 (6 %)], Pakistani [n = 35,596 (4 %)], black Caribbean [n = 45,013 (5 %)], black African [n = 75,454 (8 %)] and Irish people [n = 13,745 (1 %)]. In the secondary care database, 12,432 individuals with SMI over 2007-2013 contributed information; prevalent diagnoses were schizophrenia [n = 6805 (55 %)], schizoaffective disorders [n = 1438 (12 %)] and bipolar affective disorder [n = 4112 (33 %)]. Largest ethnic minority groups in this sample were black Caribbean [1432 (12 %)] and black African (1393 (11 %)). CONCLUSIONS: There is a dearth of research examining cardiovascular disease in minority ethnic groups with severe mental illnesses. The E-CHASM study will address this knowledge gap.

Born into adversity: psychological distress in two birth cohorts of second-generation Irish children growing up in Britain.

BACKGROUND: Worldwide, the Irish diaspora experience health inequalities persisting across generations. The present study sought to establish the prevalence of psychological morbidity in the children of migrant parents from Ireland, and reasons for differences. METHODS: Data from two British birth cohorts were used for analysis. Each surveyed 17 000 babies born in one week in 1958 and 1970 and followed up through childhood. Validated scales assessed psychological health. RESULTS: Relative to the rest of the cohort, second-generation Irish children grew up in material hardship and showed greater psychological problems at ages 7, 11 (1958 cohort) and 16 (both cohorts). Adjusting for material adversity and maternal psychological distress markedly reduced differences. Relative to non-Irish parents, Irish-born parents were more likely to report chronic health problems (odds ratio [OR]: 1.29; 95% confidence interval [CI]: 1.08-1.54), and Irish-born mothers were more likely to be psychologically distressed (OR: 1.44; 95% CI: 1.13-1.84, when child was 10). Effect sizes diminished once material adversity was taken into account. CONCLUSIONS: Second-generation Irish children experienced high levels of psychological morbidity, but this was accounted for through adverse material circumstances in childhood and psychological distress in parents. Public health initiatives focusing on settlement experiences may reduce health inequalities in migrant children.

Migration, social mobility and common mental disorders: critical review of the literature and meta-analysis.

OBJECTIVE: Changes in socio-economic position in people who migrate may have adverse associations with mental health. The main objective of this review was to assess the association of social mobility with common mental disorders in migrant and second-generation groups, to inform future research. DESIGN: Systematic review and meta-analysis of English-language studies assessing the association of social mobility in migrant or second-generation groups with common mental disorders. Approaches to operationalise 'social mobility' were reviewed. RESULTS: Twelve studies (n=18,548) met criteria for retrieval. Very few included second-generation groups, and most studies were cross-sectional in design. Approaches to operationalise 'social mobility' varied between studies. Downward intragenerational social mobility was associated with migration in the majority of studies. Random effects meta-analysis (n=5179) suggested that migrants to higher income countries who experienced downward mobility or underemployment were more likely to screen positive for common mental disorders, relative to migrants who were upwardly mobile or experienced no changes to socio-economic position. Conclusions on second-generation groups were limited by the lack of research highlighted for these groups. Downward intragenerational mobility associated with migration may be associated with vulnerability to common mental disorders in some migrant groups. CONCLUSION: Given the increasing scale of global migration, further research is needed to clarify how changes to socio-economic position associated with international migration may impact on the mental health of migrants, and in their children.