scholarly journals Changes in ethnic spatial segregation across English housing market areas (2001-2011): identifying ethnic and context configurations

2021 ◽  
Author(s):  
Carolina V. Zuccotti
Keyword(s):  
Housing Market ◽  
Ethnic Minority ◽  
Minority Groups ◽  
Census Data ◽  
Lower Layer ◽  
Spatial Segregation ◽  
Ethnic Minority Groups ◽  
Change Over Time ◽  
Market Areas ◽  
Over Time

Using a combination of segregation indices – calculated with aggregated census data obtained for small geographies (lower layer super output areas, LSOAs) – the paper shows levels and changes in spatial segregation in eight housing market areas (HMAs) in England between 2001 and 2011, for the six most numerous non-white ethnic minority groups (Indian, Pakistani, Bangladeshi, Chinese, Caribbean, and African). The double comparison between HMAs and between groups, together with the use of different measures of segregation, enables identifying different patterns of segregation, as well as ‘ethnic’ and ‘context’ configurations. Specifically, while some segregation patterns are distinctive to certain ethnic minority groups independently of their location, others are specific to some or most groups residing in certain contexts. As examples of the first, Pakistanis and Bangladeshis’ segregation levels are often the highest, independently of their HMA of residence; and also seem to be following specific (and contrasting) patterns of change over time. As regards context configurations, Birmingham appears as a favourable context for changes in spatial segregation, while the opposite is observed for Leicester and Bradford.

scholarly journals Post-COVID-19 paediatric inflammatory multisystem syndrome: association of ethnicity, key worker and socioeconomic status with risk and severity

2021 ◽  
pp. archdischild-2020-320388
Author(s):  
Jonathan Broad ◽  
Julia Forman ◽  
James Brighouse ◽  
Adebola Sobande ◽  
Alysha McIntosh ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
Minority Groups ◽  
Census Data ◽  
Ethnic Minority Groups ◽  
Evaluation Team ◽  
Paediatric Hospital ◽  
Catchment Population ◽  
Key Worker

ObjectivesPatients from ethnic minority groups and key workers are over-represented among adults hospitalised or dying from COVID-19. In this population-based retrospective cohort, we describe the association of ethnicity, socioeconomic and family key worker status with incidence and severity of Paediatric Inflammatory Multisystem Syndrome Temporally associated with SARS-CoV-2 (PIMS-TS).SettingEvelina London Children’s Hospital (ELCH), the tertiary paediatric hospital for the South Thames Retrieval Service (STRS) region.Participants70 children with PIMS-TS admitted 14 February 2020–2 June 2020.Outcome measuresIncidence and crude ORs are presented, comparing ethnicity and socioeconomic status of our cohort and the catchment population, using census data and Index of Multiple Deprivation (IMD). Regression is used to estimate the association of ethnicity and IMD with admission duration and requirement for intensive care, inotropes and ventilation.ResultsIncidence was significantly higher in children from black (25.0 cases per 100 000 population), Asian (6.4/100 000) and other (17.8/100 000) ethnic groups, compared with 1.6/100 000 in white ethnic groups (ORs 15.7, 4.0 and 11.2, respectively). Incidence was higher in the three most deprived quintiles compared with the least deprived quintile (eg, 8.1/100 000 in quintile 1 vs 1.6/100 000 in quintile 5, OR 5.2). Proportions of families with key workers (50%) exceeded catchment proportions. Admission length of stay was 38% longer in children from black ethnic groups than white (95% CI 4% to 82%; median 8 days vs 6 days). 9/10 children requiring ventilation were from black ethnic groups.ConclusionsChildren in ethnic minority groups, living in more deprived areas and in key worker families are over-represented. Children in black ethnic groups had longer admissions; ethnicity may be associated with ventilation requirement.This project was registered with the ELCH audit and service evaluation team, ref. no 11186.

scholarly journals Prevalence of common mental disorders and treatment receipt for people from ethnic minority backgrounds in England: repeated cross-sectional surveys of the general population in 2007 and 2014

2021 ◽  
pp. 1-8
Author(s):  
Gargie Ahmad ◽  
Sally McManus ◽  
Claudia Cooper ◽  
Stephani L. Hatch ◽  
Jayati Das-Munshi
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Ethnic Minority ◽  
Odds Ratio ◽  
Minority Groups ◽  
Common Mental Disorders ◽  
Psychiatric Morbidity ◽  
Ethnic Minority Groups ◽  
Antidepressant Use ◽  
Over Time

Background Concerns persist that some ethnic minority groups experience longstanding mental health inequalities in England. It is unclear if these have changed over time. Aims To assess the prevalence of common mental disorders (CMDs) and treatment receipt by ethnicity, and changes over time, using data from the nationally representative probability sample in the Adult Psychiatric Morbidity Surveys. Method We used survey data from 2007 (n = 7187) and 2014 (n = 7413). A Clinical Interview Schedule – Revised score of ≥12 indicated presence of a CMD. Treatment receipt included current antidepressant use; any counselling or therapy; seeing a general practitioner about mental health; or seeing a community psychiatrist, psychologist or psychiatric nurse, in the past 12 months. Multivariable logistic regression assessed CMD prevalence and treatment receipt by ethnicity. Results CMD prevalence was highest in the Black group; ethnic variation was explained by demographic and socioeconomic factors. After adjustment for these factors and CMDs, odds ratios for treatment receipt were lower for the Asian (0.62, 95% CI 0.39−1.00) and White Other (0.58, 95% CI 0.38–0.87) groups in 2014, compared with the White British group; for the Black group, this inequality appeared to be widening over time (2007 treatment receipt odds ratio 0.68, 95% CI 0.38−1.23; 2014 treatment receipt odds ratio 0.23, 95% CI 0.13−0.40; survey year interaction P < 0.0001). Conclusions Treatment receipt was lower for all ethnic minority groups compared with the White British group, and lowest among Black people, for whom inequalities appear to be widening over time. Addressing socioeconomic inequality could reduce ethnic inequalities in mental health problems, but this does not explain pronounced treatment inequalities.

Gene-environment Interaction on the Risk of Type 2 Diabetes Among Ethnic Minority Populations Living in Europe and North America: A Systematic Review

2020 ◽  
Vol 16 (5) ◽  
pp. 457-470 ◽  
Author(s):  
Mohammad H. Zafarmand ◽  
Parvin Tajik ◽  
René Spijker ◽  
Charles Agyemang
Keyword(s):  
Type 2 Diabetes ◽  
North America ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Minority Groups ◽  
Environment Interaction ◽  
Ethnic Minority Groups ◽  
Gene Environment Interaction ◽  
Gene Environment

Background: The body of evidence on gene-environment interaction (GEI) related to type 2 diabetes (T2D) has grown in the recent years. However, most studies on GEI have sought to explain variation within individuals of European ancestry and results among ethnic minority groups are inconclusive. Objective: To investigate any interaction between a gene and an environmental factor in relation to T2D among ethnic minority groups living in Europe and North America. Methods: We systematically searched Medline and EMBASE databases for the published literature in English up to 25th March 2019. The screening, data extraction and quality assessment were performed by reviewers independently. Results: 1068 studies identified through our search, of which nine cohorts of six studies evaluating several different GEIs were included. The mean follow-up time in the included studies ranged from 5 to 25.7 years. Most studies were relatively small scale and few provided replication data. All studies included in the review included ethnic minorities from North America (Native-Americans, African- Americans, and Aboriginal Canadian), none of the studies in Europe assessed GEI in relation to T2D incident in ethnic minorities. The only significant GEI among ethnic minorities was HNF1A rs137853240 and smoking on T2D incident among Native-Canadians (Pinteraction = 0.006). Conclusion: There is a need for more studies on GEI among ethnicities, broadening the spectrum of ethnic minority groups being investigated, performing more discovery using genome-wide approaches, larger sample sizes for these studies by collaborating efforts such as the InterConnect approach, and developing a more standardized method of reporting GEI studies are discussed.

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