An ‘Invisible’ Problem? Uncovering the Nature of Racist Victimisation in Rural Suffolk

2003 ◽  
Vol 10 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Neil Chakraborti ◽  
Jon Garland

The issue of racist victimisation in rural areas has been largely overlooked in academic and political circles, although there is growing evidence to suggest that the prevalence and impact of racism are significant problems for minority ethnic groups living in rural parts of England. This article aims to address the paucity of research conducted in the area by outlining the findings of a study conducted in rural parts of Suffolk (a county in the east of England), which was based upon a series of interviews with victims of racial harassment and local agency workers, a questionnaire survey of minority ethnic groups and focus groups with members of the county's established white rural communities. In highlighting the prejudiced attitudes and stereotypes that affect the day-to-day existence of rural Suffolk's minority ethnic population, the article draws attention to the alarming nature and extent of racial harassment in typically intransient communities, together with the perceived sense of isolation suffered by victims of such harassment. The article also discusses the reasons behind victims' reluctance to report racist incidents, and offers suggestions as to how local agencies can make much-needed improvements to their response to victims in rural areas.

2021 ◽  
pp. jech-2020-216061
Author(s):  
Srinivasa Vittal Katikireddi ◽  
Sham Lal ◽  
Enitan D Carrol ◽  
Claire L Niedzwiedz ◽  
Kamlesh Khunti ◽  
...  

Minority ethnic groups have been disproportionately affected by the COVID-19 pandemic. While the exact reasons for this remain unclear, they are likely due to a complex interplay of factors rather than a single cause. Reducing these inequalities requires a greater understanding of the causes. Research to date, however, has been hampered by a lack of theoretical understanding of the meaning of ‘ethnicity’ (or race) and the potential pathways leading to inequalities. In particular, quantitative analyses have often adjusted away the pathways through which inequalities actually arise (ie, mediators for the effect of interest), leading to the effects of social processes, and particularly structural racism, becoming hidden. In this paper, we describe a framework for understanding the pathways that have generated ethnic (and racial) inequalities in COVID-19. We suggest that differences in health outcomes due to the pandemic could arise through six pathways: (1) differential exposure to the virus; (2) differential vulnerability to infection/disease; (3) differential health consequences of the disease; (4) differential social consequences of the disease; (5) differential effectiveness of pandemic control measures and (6) differential adverse consequences of control measures. Current research provides only a partial understanding of some of these pathways. Future research and action will require a clearer understanding of the multiple dimensions of ethnicity and an appreciation of the complex interplay of social and biological pathways through which ethnic inequalities arise. Our framework highlights the gaps in the current evidence and pathways that need further investigation in research that aims to address these inequalities.


2021 ◽  
pp. 1-9
Author(s):  
Supriya Misra ◽  
Bizu Gelaye ◽  
David R. Williams ◽  
Karestan C. Koenen ◽  
Christina P.C. Borba ◽  
...  

Abstract Background Perceived discrimination is associated with worse mental health. Few studies have assessed whether perceived discrimination (i) is associated with the risk of psychotic disorders and (ii) contributes to an increased risk among minority ethnic groups relative to the ethnic majority. Methods We used data from the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions Work Package 2, a population-based case−control study of incident psychotic disorders in 17 catchment sites across six countries. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) for the associations between perceived discrimination and psychosis using mixed-effects logistic regression models. We used stratified and mediation analyses to explore differences for minority ethnic groups. Results Reporting any perceived experience of major discrimination (e.g. unfair treatment by police, not getting hired) was higher in cases than controls (41.8% v. 34.2%). Pervasive experiences of discrimination (≥3 types) were also higher in cases than controls (11.3% v. 5.5%). In fully adjusted models, the odds of psychosis were 1.20 (95% CI 0.91–1.59) for any discrimination and 1.79 (95% CI 1.19–1.59) for pervasive discrimination compared with no discrimination. In stratified analyses, the magnitude of association for pervasive experiences of discrimination appeared stronger for minority ethnic groups (OR = 1.73, 95% CI 1.12–2.68) than the ethnic majority (OR = 1.42, 95% CI 0.65–3.10). In exploratory mediation analysis, pervasive discrimination minimally explained excess risk among minority ethnic groups (5.1%). Conclusions Pervasive experiences of discrimination are associated with slightly increased odds of psychotic disorders and may minimally help explain excess risk for minority ethnic groups.


2021 ◽  
pp. 152272
Author(s):  
Jon E. Grant ◽  
Stephanie Valle ◽  
Ibrahim H. Aslan ◽  
Samuel R. Chamberlain

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