scholarly journals Explaining ethnic differentials in COVID-19 mortality: cohort study

Author(s):  
G David Batty ◽  
Bamba Gaye ◽  
Catharine R Gale ◽  
Mark Hamer ◽  
Camille Lassale

Abstract Ethnic inequalities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality have been widely reported but there is scant understanding of how they are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40-69 years at study induction between 2006 and 2010 when information on ethnic background and potential explanatory factors was captured. Study members were prospectively linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 705 deaths were ascribed to COVID-19 between 5th March, 2020 and 24th January, 2021. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced around five times the risk of COVID-19 mortality (odds ratio; 95% confidence interval: 4.81; 3.28, 7.05), while there was a doubling in the South Asian group (2.05; 1.30, 3.25). Controlling for baseline comorbidities, social factors (including socioeconomic circumstances), and lifestyle indices attenuated this risk differential by 34% in Black study members (2.84; 1.91, 4.23) and 37% in South Asian individuals (1.57; 0.97, 2.55). The residual risk of COVID-19 deaths in ethnic minority groups may be ascribed to a range of unmeasured characteristics and requires further exploration.

2021 ◽  
Author(s):  
G. David Batty ◽  
Bamba Gaye ◽  
Catharine R Gale ◽  
Mark Hamer ◽  
Camille Lassale

AbstractEthnic disparities in COVID-19 hospitalizations and mortality have been reported but there is scant understanding of how these inequalities are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40-69 years at study induction between 2006 and 2010 when information on ethnic background and potential explanatory factors was captured. Study members were linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 354 deaths were ascribed to COVID-19 between 5th March and the end of follow-up on 17th September 2020. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced around seven times the risk of COVID-19 mortality (odds ratio; 95% confidence interval: 7.25; 4.65, 11.33), while there was a doubling in the Asian group (1.98; 1.02, 3.84). Controlling for baseline comorbidities, socioeconomic circumstances, and lifestyle factors explained 53% of the differential in risk for Asian people (1.37; 0.68, 2.77) and 27% in Black study members (4.28; 2.67, 6.86). The residual risk in ethnic minority groups for COVID-19 deaths may be ascribed to unknown genetic factors or unmeasured phenotypes, most obviously racial discrimination.


Author(s):  
Rohini Mathur ◽  
Christopher T. Rentsch ◽  
Caroline Morton ◽  
William J Hulme ◽  
Anna Schultze ◽  
...  

Background: COVID-19 has had a disproportionate impact on ethnic minority populations, both in the UK and internationally. To date, much of the evidence has been derived from studies within single healthcare settings, mainly those hospitalised with COVID-19. Working on behalf of NHS England, the aim of this study was to identify ethnic differences in the risk of COVID-19 infection, hospitalisation and mortality using a large general population cohort in England. Methods: We conducted an observational cohort study using linked primary care records of 17.5 million adults between 1 February 2020 and 3 August 2020. Exposure was self-reported ethnicity collapsed into the 5 and 16 ethnicity categories of the English Census. Multivariable Cox proportional hazards regression was used to identify ethnic differences in the risk of being tested and testing positive for SARS-CoV-2 infection, COVID-19 related intensive care unit (ICU) admission, and COVID-19 mortality, adjusted for socio-demographic factors, clinical co-morbidities, geographic region, care home residency, and household size. Results: A total of 17,510,002 adults were included in the study; 63% white (n=11,030,673), 6% south Asian (n=1,034,337), 2% black (n=344,889), 2% other (n=324,730), 1% mixed (n=172,551), and 26% unknown (n=4,602,822). After adjusting for measured explanatory factors, south Asian, black, and mixed groups were marginally more likely to be tested (south Asian HR 1.08, 95%CI 1.07-1.09; black HR 1.08; 95%CI 1.06-1.09, mixed HR 1.03, 95%CI 1.01-1.05), and substantially more likely to test positive for SARS-CoV-2 compared with white adults (south Asian HR 2.02. 95% CI 1.97-2.07; black HR 1.68, 95%CI 1.61-1.76; mixed HR 1.46, 95%CI 1.36-1.56). The risk of being admitted to ICU for COVID-19 was substantially increased in all ethnic minority groups compared with white adults (south Asian HR 2.22, 95%CI 1.96-2.52; black HR 3.07, 95%CI 2.61-3.61; mixed HR 2.86, 95%CI 2.19-3.75, other HR 2.86, 95%CI 2.31-3.63). Risk of COVID-19 mortality was increased by 25-56% in ethnic minority groups compared with white adults (south Asian HR 1.27, 95%CI 1.17-1.38; black HR 1.55, 95%CI 1.38-1.75; mixed HR 1.40, 95%CI 1.12-1.76; other HR 1.25, 95%CI 1.05-1.49). We observed heterogeneity of associations after disaggregation into detailed ethnic groupings; Indian and African groups were at higher risk of all outcomes; Pakistani, Bangladeshi and Caribbean groups were less or equally likely to be tested for SARS-CoV-2, but at higher risk of all other outcomes, Chinese groups were less likely to be tested for and test positive for SARS-CoV-2, more likely to be admitted to ICU, and equally likely to die from COVID-19. Conclusions: We found evidence of substantial ethnic inequalities in the risk of testing positive for SARS-CoV-2, ICU admission, and mortality, which persisted after accounting for explanatory factors, including household size. It is likely that some of this excess risk is related to factors not captured in clinical records such as occupation, experiences of structural discrimination, or inequitable access to health and social services. Prioritizing linkage between health, social care, and employment data and engaging with ethnic minority communities to better understand their lived experiences is essential for generating evidence to prevent further widening of inequalities in a timely and actionable manner.


2022 ◽  
pp. 135581962110549
Author(s):  
Tushna Vandrevala ◽  
Lailah Alidu ◽  
Jane Hendy ◽  
Shuja Shafi ◽  
Aftab Ala

Objectives The cultural beliefs, practices and experiences of ethnic minority groups, alongside structural inequalities and the political economy play a critical, but overlooked role in health promotion. This study aimed to understand how ethnic minority groups in the United Kingdom conceptualised COVID-19 and how this influenced engagement in testing. Method Black (African and Caribbean) and South Asian (Indian, Pakistani and Bangladeshi) community members were purposefully recruited from across the UK. Fifty-seven semi-structured interviews were conducted and analysed using principles of grounded theory. Results We found that people of Black and South Asian ethnicity conceptualised COVID-19 as a disease that makes them visible to others outside their community and was seen as having more severe risk and suffering worse consequences, resulting in fear, stigmatisation and alienation. Views about COVID-19 were embedded in cultural beliefs, relating to culturally specific ideas around disease, such as ill-health being God’s will. Challenges brought about by the pandemic were conceptualised as one of many struggles, with the saliency of the virus contextualised against life experiences. These themes and others influenced engagement with COVID-19 testing. Testing was less about accessing timely and effective treatment for themselves and more about acting to protect the family and community. Testing symbolised a loss of income, anxiety and isolation, accentuated by issues of mistrust of the system and not being valued, or being treated unfairly. Conclusion Health communications should focus on counterbalancing the mistrust, alienation and stigmatisation that act as barriers to testing, with trust built using local credible sources.


2021 ◽  
Author(s):  
Thomas Yates ◽  
Annabel Summerfield ◽  
Cameron Razieh ◽  
Amitava Banerjee ◽  
Yogini Chudasama ◽  
...  

Abstract Importance: Obesity and ethnicity are well characterised risk factors for severe COVID-19 outcomes, but the differential effects of obesity on COVID-19 outcomes by race/ethnicity has not been examined robustly in the general population. Objective: To investigate the association between body mass index (BMI) and COVID-19 mortality across different ethnic groups. Design, Setting, and Participants: This is a retrospective cohort study using linked national Census, electronic health records and mortality data for English adults aged 40 years or older who were alive at the start of pandemic (24th January 2020). Exposures: BMI obtained from electronic health records. Self-reported ethnicity (white, black, South Asian, other) was the effect-modifying variable. Main Outcomes and Measures: COVID-19 related death identified by ICD-10 codes U07.1 or U07.2 mentioned on the death certificate from 24th January 2020 until December 28th 2020. Results: The analysis included white (n = 11,074,708; mean age 61.9 [13.4] years; 54% women), black (n = 416,542; 56.4 [11.7] years; 57% women), South Asian (621,691; 55.7 [12.4] years; 51% women) and other (n = 478,196; 55.3 [11.6] years; 55% women) ethnicities with linked BMI data. The association between BMI and COVID-19 mortality was stronger in ethnic minority groups. Compared to a BMI of 22.5 kg/m2 in white ethnicities, the adjusted HR for COVID-19 mortality at a BMI of 30 kg/m2 in white, black, South Asian and other ethnicities was 0.95 (95% CI: 0.87-1.03), 1.72 (1.52-1.94), 2.00 (1.78-2.25) and 1.39 (1.21-1.61), respectively. The estimated risk of COVID-19 mortality at a BMI of 40 kg/m2 in white ethnicities (HR = 1.73) was equivalent to the risk observed at a BMI of 30.1 kg/m2, 27.0 kg/m2, and 32.2 kg/m2 in black, South Asian and other ethnic groups, respectively. 5 Conclusions: This population-based study using linked Census and electronic health care records demonstrates that the risk of COVID-19 mortality associated with obesity is greater in ethnic minority groups compared to white populations.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Wainberg ◽  
Stefan Kloiber ◽  
Breno Diniz ◽  
Roger S. McIntyre ◽  
Daniel Felsky ◽  
...  

AbstractPrevention of major depressive disorder (MDD) is a public health priority. Identifying biomarkers of underlying biological processes that contribute to MDD onset may help address this public health need. This prospective cohort study encompassed 383,131 white British participants from the UK Biobank with no prior history of MDD, with replication in 50,759 participants of other ancestries. Leveraging linked inpatient and primary care records, we computed adjusted odds ratios for 5-year MDD incidence among individuals with values below or above the 95% confidence interval (<2.5th or >97.5th percentile) on each of 57 laboratory measures. Sensitivity analyses were performed across multiple percentile thresholds and in comparison to established reference ranges. We found that indicators of liver dysfunction were associated with increased 5-year MDD incidence (even after correction for alcohol use and body mass index): elevated alanine aminotransferase (AOR = 1.35, 95% confidence interval [1.16, 1.58]), aspartate aminotransferase (AOR = 1.39 [1.19, 1.62]), and gamma glutamyltransferase (AOR = 1.52 [1.31, 1.76]) as well as low albumin (AOR = 1.28 [1.09, 1.50]). Similar observations were made with respect to endocrine dysregulation, specifically low insulin-like growth factor 1 (AOR = 1.34 [1.16, 1.55]), low testosterone among males (AOR = 1.60 [1.27, 2.00]), and elevated glycated hemoglobin (HbA1C; AOR = 1.23 [1.05, 1.43]). Markers of renal impairment (i.e. elevated cystatin C, phosphate, and urea) and indicators of anemia and macrocytosis (i.e. red blood cell enlargement) were also associated with MDD incidence. While some immune markers, like elevated white blood cell and neutrophil count, were associated with MDD (AOR = 1.23 [1.07, 1.42]), others, like elevated C-reactive protein, were not (AOR = 1.04 [0.89, 1.22]). The 30 significant associations validated as a group in the multi-ancestry replication cohort (Wilcoxon p = 0.0005), with a median AOR of 1.235. Importantly, all 30 significant associations with extreme laboratory test results were directionally consistent with an increased MDD risk. In sum, markers of liver and kidney dysfunction, growth hormone and testosterone deficiency, innate immunity, anemia, macrocytosis, and insulin resistance were associated with MDD incidence in a large community-based cohort. Our results support a contributory role of diverse biological processes to MDD onset.


BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e041102
Author(s):  
Cleo Baskin ◽  
Geiske Zijlstra ◽  
Mike McGrath ◽  
Caroline Lee ◽  
Fiona Helen Duncan ◽  
...  

ObjectivesUndertake a scoping review to determine the effectiveness of community-centred interventions designed to improve the mental health and well-being of adults from ethnic minority groups in the UK.MethodsWe searched six electronic academic databases for studies published between January 1990 and September 2019: Medline, Embase, PsychINFO, Scopus, CINAHL and Cochrane. For intervention description and data extraction we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist and Template for Intervention Description and Replication guide. Quality was assessed using Cochrane risk of bias tools. Grey literature results were deemed beyond the scope of this review due to the large number of interventions and lack of available outcomes data.ResultsOf 4501 studies, 7 met the eligibility criteria of UK-based community interventions targeting mental health in adults from ethnic minority populations: four randomised controlled trials, one pre/post-pilot study, one cross-sectional study and one ethnographic study. Interventions included therapy-style sessions, peer-support groups, educational materials, gym access and a family services programme. Common components included a focus on tackling social isolation, using lay health workers from within the community, signposting and overcoming structural barriers to access. Four studies reported a statistically significant positive effect on mental health outcomes and six were appraised as having a high risk of bias. Study populations were ethnically heterogeneous and targeted people mainly from South Asia. No studies examined interventions targeting men.ConclusionsThere is a paucity of high-quality evidence regarding community-centred interventions focused on improving public mental health among ethnic minority groups. Decision makers need scientific evidence to inform effective approaches to mitigating health disparities. Our next steps are to map promising community activities and interventions that are currently being provided to help identify emerging evidence.


2018 ◽  
Vol 143 (4) ◽  
pp. 831-841
Author(s):  
Úna C. Mc Menamin ◽  
Andrew T. Kunzmann ◽  
Michael B. Cook ◽  
Brian T. Johnston ◽  
Liam J. Murray ◽  
...  

Author(s):  
Pauline Rivart ◽  
Verity Wainwright ◽  
Sandra Flynn ◽  
Isabelle M. Hunt ◽  
Jenny Shaw ◽  
...  

It is estimated that between 36,000 and 360,000 people are affected by suicide every year in the UK, and a proportion may develop depression and post-traumatic stress disorder, or engage in high-risk behaviours. Recent systematic analyses have revealed a clear gap in research on suicide bereavement in minority ethnic groups. This study aimed to understand the experiences and support needs of individuals from ethnic minority backgrounds bereaved by suicide and was the first in the UK to investigate this matter. The study was a secondary analysis of data. Participants were 7158 people residing in the UK who completed an online survey about their experiences of suicide. Free-text qualitative responses of 227 participants who did not identify as White British were analysed using thematic analysis. Four themes were identified: maladaptive coping strategies, emotional processes following suicide, lack of support from agencies, and the importance of mental health awareness. Ethnic minority groups reported a lack of support despite attempts to engage with services, noted the prevalence of stigma within ethnic minority groups, and expressed a need to tackle this. These preliminary results suggest that ethnic minority individuals require visible and accessible services that can successfully engage with and support them.


2018 ◽  
Vol 104 (3) ◽  
pp. 268-274 ◽  
Author(s):  
Steven Hope ◽  
Jessica Deighton ◽  
Nadia Micali ◽  
Catherine Law

ObjectiveWe assessed whether maternal mental health problems increased rates for child injury during the preschool years and mid-childhood, and the extent to which associations could be accounted for by a range of potential explanatory factors.DesignWe analysed the UK Millennium Cohort Study, a nationally representative sample with data collected throughout childhood. Multinomial regression was used to investigate whether two measures of maternal mental health (diagnosed depression/anxiety and psychological distress) were associated with subsequent childhood injury. Models adjusted for sociodemographics, parenting and child externalising behaviours.Main outcome measureMaternal report of unintentional injuries (none, 1, 2+) recorded at three data collection periods (3–5 years; 5–7 years; 7–11 years).ResultsThe analytic sample comprised n=9240 families who participated 3–11 years with complete data on exposures and outcomes (multiply imputing missing covariates). Exposure to maternal mental health problems was associated with increased rates of subsequent childhood injuries. Associations attenuated after adjustment for potential explanatory factors, although they remained elevated. For example, high maternal distress was associated with injuries 3–5 years (adjusted relative risk ratio (aRRR): 1 injury=1.18, 95% CI 0.86 to 1.61; 2+ injuries=2.22, 95% CI 1.22 to 4.02); injuries 5–7 years (aRRR: 1 injury=1.31, 95% CI 0.97 to 1.76; 2+ injuries=1.84, 95% CI 1.09 to 3.09); and injuries 7–11 years (aRRR: 1 injury=1.03, 95% CI 0.81 to 1.31; 2+ injuries=1.33, 95% CI 0.97 to 1.81).ConclusionsChildren exposed to mothers with mental health problems had higher rates of childhood injury than those not exposed. If further investigation of this association suggests causality then it will be important to test measures that address mothers’ mental health issues with a view to reducing injuries among their children.


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