Racism psychosis and common mental disorder among ethnic minority groups in England

Background. The aim of this study was to explore the relationship between risk of psychosis, common mental disorder (CMD) and indicators of racism among ethnic minority groups in England and how this relationship may vary by particular ethnic groups. Method. A multivariate analysis was carried out of quantitative, cross-sectional data from a nationally representative community sample of people aged between 16 and 74 years from the largest ethnic minority groups in England: those of Caribbean, Indian, Pakistani, Bangladeshi and Irish origin. Results. Experience of interpersonal racism and perceiving racism in the wider society each have independent effects on the risk of CMD and psychosis, after controlling for the effects of gender, age and socio-economic status. There was some variation in the findings when they were conducted for separate ethnic and gender groups. Conclusions. An understanding of the relationship between racism and mental health may go some way towards explaining the ethnic variations found in both CMD and, particularly, psychosis

NCeSS Project : Data mining for social scientists

We will discuss the work being undertaken on the NCeSS data mining project, a one year project at the University of Manchester which began at the start of 2007, to develop data mining tools of value to the social science community. Our primary goal is to produce a suite of data mining codes, supported by a web interface, to allow social scientists to mine their datasets in a straightforward way and hence, gain new insights into their data. In order to fully define the requirements, we are looking at a range of typical datasets to find out what forms they take and the applications and algorithms that will be required. In this paper, we will describe a number of these datasets and will discuss how easily data mining techniques can be used to extract information from the data that would either not be possible or would be too time consuming by more standard methods

Common mental disorders and ethnicity in England : the EMPIRIC Study

Background. There is little population-based evidence on ethnic variation in the most common mental disorders (CMD), anxiety and depression. We compared the prevalence of CMD among representative samples of White, Irish, Black Caribbean, Bangladeshi, Indian and Pakistani individuals living in England using a standardized clinical interview. Method. Cross-sectional survey of 4281 adults aged 16–74 years living in private households in England. CMD were assessed using the Revised Clinical Interview Schedule (CIS-R), a standardized clinical interview. Results. Ethnic differences in the prevalence of CMD were modest, and some variation with age and sex was noted. Compared to White counterparts, the prevalence of CMD was higher to a statistically significant degree among Irish [adjusted rate ratios (RR) 2.09, 95% CI 1.16–2.95, p=0.02] and Pakistani (adjusted RR 2.38, 95% CI 1.25–3.53, p=0.02) men aged 35–54 years, even after adjusting for differences in socio-economic status. Higher rates of CMD were also observed among Indian and Pakistani women aged 55–74 years, compared to White women of similar age. The prevalence of CMD among Bangladeshi women was lower than among White women, although this was restricted to those not interviewed in English. There were no differences in rates between Black Caribbean and White samples. Conclusions. Middle-aged Irish and Pakistani men, and older Indian and Pakistani women, had significantly higher rates of CMD than their White counterparts. The very low prevalence of CMD among Bangladeshi women contrasted with high levels of socio-economic deprivation among this group. Further study is needed to explore reasons for this variation

Facilitators and barriers to help-seeking for breast and cervical cancer symptoms: a qualitative study with an ethnically diverse sample in London

Objective Earlier diagnosis of cancer has become a policy priority. There is evidence that minority ethnic groups are more likely to delay help‐seeking for cancer symptoms, but few studies have explored reasons for delay in these groups. The present study explored facilitators and barriers to help‐seeking for breast and cervical cancer in an ethnically diverse sample of women. Methods Semi‐structured interviews were carried out with 54 healthy women from a range of ethnic backgrounds; Indian, Pakistani, Bangladeshi, Caribbean, African, Black British, Black other, White British and White other. Framework analysis was used to identify themes. Results Appraising a symptom as possibly due to cancer was an important facilitator of help‐seeking, although for some the prospect of a cancer diagnosis was a deterrent. Women believed that earlier diagnosis improved the chance of survival, and this facilitated prompt help‐seeking. A sympathetic GP facilitated help‐seeking, and an unsympathetic GP was a deterrent. Some ethnic minority women described the use of alternative medicine and prayer as a first‐line strategy that might delay help‐seeking. Language barriers, racism and a tendency to ‘soldier on’ were also mentioned by these women. Conclusions Models of delay in presentation for early cancer symptoms are likely to transfer across different ethnic groups. Encouraging open discussion about cancer among minority communities could help raise awareness about the importance of early detection and promote help‐seeking as a priority response to a possible cancer symptom

Association between an inflammatory biomarker score and future dementia diagnosis in the population-based UK Biobank cohort of 500,000 people

This study was designed to investigate the relationship between a systematic inflammatory biomarker measure, concurrent and later cognitive performance, and future dementia risk. The literature has reported the potential involvement of inflammation in cognitive performance as well as Alzheimer’s Disease, but not consistently. We used a population-based cohort of 500,000 people in the UK and assessed the association between a composite inflammatory biomarker and cognitive performance measures across five domains measured concurrently and 4–13 years later, taking advantage of the large sample size. We also assessed the same biomarker’s association with dementia diagnosis 3–11 years later in the initially dementia-free sample. We report small but significant associations between elevated biomarker levels and worsened cognitive performance at baseline for four cognitive tasks (OR = 1.204, p<0.001 for Prospective memory, β = -0.366, p<0.001 for Fluid intelligence, β = 8.819, p<0.001 for Reaction time, and β = -0.224, p<0.001 for Numeric memory), comparing the highest quartile of the biomarker to the lowest. We also found that for one measure (Pairs matching) higher biomarker levels were associated with fewer errors, i.e. better performance (β = -0.096, p<0.001). We also report that the 4th quartiles of the baseline biomarker levels were significantly associated with cognitive task scores assessed years later on the p< = 0.002 level, except for the Pair matching test, for which none of the quartiles remained a significant predictor. Finally, the highest biomarker quartile was significantly associated with increased dementia risk compared to the lowest quartile (HR = 1.349, p<0.001). A case-only analysis to assess disease subtype heterogeneity suggested probable differences in the association with the highest biomarker quartile between vascular dementia and Alzheimer disease subtypes (OR = 1.483, p = 0.055). Our results indicate that systemic inflammation may play a small but significant part in dementia pathophysiology, especially in vascular dementia

Ethnic inequalities and pathways to care in psychosis in England: a systematic review and meta-analysis

© The Author(s). 2018Background: As part of a national programme to tackle ethnic inequalities, we conducted a systematic review and meta-analysis of research on ethnic inequalities in pathways to care for adults with psychosis living in England and/or Wales. Methods: Nine databases were searched from inception to 03.07.17 for previous systematic reviews, including forward and backward citation tracking and a PROSPERO search to identify ongoing reviews. We then carried forward relevant primary studies from included reviews (with the latest meta-analyses reporting on research up to 2012), supplemented by a search on 18.10.17 in MEDLINE, Embase, PsycINFO and CINAHL for primary studies between 2012 and 2017 that had not been covered by previous meta-analyses. Results: Forty studies, all conducted in England, were included for our updated meta-analyses on pathways to care. Relative to the White reference group, elevated rates of civil detentions were found for Black Caribbean (OR = 3.43, 95% CI = 2.68 to 4.40, n = 18), Black African (OR = 3.11, 95% CI = 2.40 to 4.02, n = 6), and South Asian patients (OR = 1.50, 95% CI 1.07 to 2.12, n = 10). Analyses of each Mental Health Act section revealed significantly higher rates for Black people under (civil) Section 2 (OR = 1.53, 95% CI = 1.11 to 2.11, n = 3). Rates in repeat admissions were significantly higher than in first admission for South Asian patients (between-group difference p < 0.01). Some ethnic groups had more police contact (Black African OR = 3.60, 95% CI = 2.15 to 6.05, n = 2; Black Caribbean OR = 2.64, 95% CI = 1.88 to 3.72, n = 8) and criminal justice system involvement (Black Caribbean OR = 2.76, 95% CI = 2.02 to 3.78, n = 5; Black African OR = 1.92, 95% CI = 1.32 to 2.78, n = 3). The White Other patients also showed greater police and criminal justice system involvement than White British patients (OR = 1.49, 95% CI = 1.03 to 2.15, n = 4). General practitioner involvement was less likely for Black than the White reference group. No significant variations over time were found across all the main outcomes. Conclusions: Our updated meta-analyses reveal persisting but not significantly worsening patterns of ethnic inequalities in pathways to psychiatric care, particularly affecting Black groups. This provides a comprehensive evidence base from which to inform policy and practice amidst a prospective Mental Health Act reform. Trial registration: CRD42017071663Peer reviewedFinal Published versio

Religious and ethnic differences in health: Evidence from the Health Surveys for England 1999 and 2004

Objectives. To examine the role of religion in the patterning of health inequities, and how this is related to ethnicity and socioeconomic status. Design. Multivariate analyses using nationally representative data on self-assessed fair or poor health, longstanding limiting illness, diagnosed diabetes, diagnosed hypertension, waist-hip ratio, body mass index, current tobacco use and participating in no regular physical activity from 14,924 Christians, 4337 Muslims, 656 Sikhs, 1197 Hindus and 2682 people reporting not identifying with any religion with different ethnic backgrounds, who were interviewed as part of the Health Survey for England in either 1999 or 2004, adjusted for age, gender and socioeconomic status and periodicity. Results. Odds ratios for general health, hypertension, diabetes, waist-hip ratio, tobacco use and physical activity speak to the importance of ethnicity in the patterning of health inequalities. But there is also evidence of an important, independent role for religion, with risks for the different health indicators varying between people with the same ethnic, but different religious, identifications. Adjusting for socioeconomic status attenuated the ethnic/religious patterning of, particularly, self-assessed health, longstanding activity-limiting illness, waist-hip ratio, body mass index and tobacco use. Conclusions. This evidence enables greater understanding of the complexities of the relationship between ethnicity, religion and health, recognising the need to understand the heterogeneity underlying both ethnic and religious group membership and the processes producing the structural disadvantage facing certain religious and ethnic groups in the mediation of the relationship between health and ethnicity/religion