scholarly journals Ethnic disparities in incident SARS-CoV-2 infections became wider during the second wave of SARS-CoV-2 in Amsterdam, the Netherlands: a population-based longitudinal study

2021 ◽  
Author(s):  
Liza Coyer ◽  
Anders Boyd ◽  
Janke Schinkel ◽  
Charles Agyemang ◽  
Henrike Galenkamp ◽  
...  
Keyword(s):  
The Netherlands ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
Minority Groups ◽  
Markov Models ◽  
Ethnic Disparities ◽  
Population Based ◽  
Prevention Measures ◽  
Ethnic Minority Groups ◽  
Second Wave

Background Surveillance data in high-income countries have reported more frequent SARS-CoV-2 diagnoses in ethnic minority groups. We examined the cumulative incidence of SARS-CoV-2 and its determinants in six ethnic groups in Amsterdam, the Netherlands. Methods We analyzed participants enrolled in the population-based HELIUS cohort, who were tested for SARS-CoV-2-specific antibodies and answered COVID-19-related questions between June 24-October 9, 2020 (after the first wave) and November 23, 2020-March 31, 2021 (during the second wave). We modeled SARS-CoV-2 incidence from January 1, 2020-March 31, 2021 using Markov models adjusted for age and sex. We compared incidence between ethnic groups over time and identified determinants of incident infection within ethnic groups. Findings 2,497 participants were tested after the first wave; 2,083 (83.4%) were tested during the second wave. Median age at first visit was 54 years (interquartile range=44-61); 56.6% were female. Compared to Dutch-origin participants (15.9%), cumulative SARS-CoV-2 incidence was higher in participants of South-Asian Surinamese (25.0%; adjusted hazard ratio [aHR]=1.66;95%CI=1.16-2.40), African Surinamese (28.9%;aHR=1.97;95%CI=1.37-2.83), Turkish (37.0%;aHR=2.67;95%CI=1.89-3.78), Moroccan (41.9%;aHR=3.13;95%CI=2.22-4.42), and Ghanaian (64.6%;aHR=6.00;95%CI=4.33-8.30) origin. Compared to those of Dutch origin, differences in incidence became wider during the second versus first wave for all ethnic minority groups (all p for interaction<0.05), except Ghanaians. Having household members with suspected SARS-CoV-2 infection, larger household size, and low health literacy were common determinants of SARS-CoV-2 incidence across groups. Interpretation SARS-CoV-2 incidence was higher in the largest ethnic minority groups of Amsterdam, particularly during the second wave. Prevention measures, including vaccination, should be encouraged in these groups.

scholarly journals Do sex differences in the prevalence of ECG abnormalities vary across ethnic groups living in the Netherlands? A cross-sectional analysis of the population-based HELIUS study

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e039091
Author(s):  
Renee Bolijn ◽  
C Cato ter Haar ◽  
Ralf E Harskamp ◽  
Hanno L Tan ◽  
Jan A Kors ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sex Differences ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
South Asian ◽  
Minority Groups ◽  
Population Based ◽  
Secondary Outcome ◽  
Ethnic Minority Groups ◽  
Ecg Abnormalities

ObjectivesMajor ECG abnormalities have been associated with increased risk of cardiovascular disease (CVD) burden in asymptomatic populations. However, sex differences in occurrence of major ECG abnormalities have been poorly studied, particularly across ethnic groups. The objectives were to investigate (1) sex differences in the prevalence of major and, as a secondary outcome, minor ECG abnormalities, (2) whether patterns of sex differences varied across ethnic groups, by age and (3) to what extent conventional cardiovascular risk factors contributed to observed sex differences.DesignCross-sectional analysis of population-based study.SettingMulti-ethnic, population-based Healthy Life in an Urban Setting cohort, Amsterdam, the Netherlands.Participants8089 men and 11 369 women of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan origin aged 18–70 years without CVD.Outcome measuresAge-adjusted and multivariable logistic regression analyses were performed to study sex differences in prevalence of major and, as secondary outcome, minor ECG abnormalities in the overall population, across ethnic groups and by age-groups (18–35, 36–50 and >50 years).ResultsMajor and minor ECG abnormalities were less prevalent in women than men (4.6% vs 6.6% and 23.8% vs 39.8%, respectively). After adjustment for conventional risk factors, sex differences in major abnormalities were smaller in ethnic minority groups (OR ranged from 0.61 in Moroccans to 1.32 in South-Asian Surinamese) than in the Dutch (OR 0.49; 95% CI 0.36 to 0.65). Only in South-Asian Surinamese, women did not have a lower odds than men (OR 1.32; 95% CI 0.96 to 1.84). The pattern of smaller sex differences in ethnic minority groups was more pronounced in older than in younger age-groups.ConclusionsThe prevalence of major ECG abnormalities was lower in women than men. However, sex differences were less apparent in ethnic minority groups. Conventional risk factors did not contribute substantially to observed sex differences.

scholarly journals Ethnic differences in COVID-19 mortality during the first two waves of the Coronavirus Pandemic: a nationwide cohort study of 29 million adults in England

2021 ◽  
Author(s):  
Vahé Nafilyan ◽  
Nazrul Islam ◽  
Rohini Mathur ◽  
Dan Ayoubkhani ◽  
Amitava Banerjee ◽  
...  
Keyword(s):  
Public Health ◽  
Cohort Study ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
Minority Groups ◽  
Ethnic Minority Groups ◽  
Public Health Campaign ◽  
Health Campaign ◽  
Private Households ◽  
Second Wave

AbstractBackgroundEthnic minorities have experienced disproportionate COVID-19 mortality rates in the UK and many other countries. We compared the differences in the risk of COVID-19 related death between ethnic groups in the first and second waves the of COVID-19 pandemic in England. We also investigated whether the factors explaining differences in COVID-19 death between ethnic groups changed between the two waves.MethodsUsing data from the Office for National Statistics Public Health Data Asset on individuals aged 30-100 years living in private households, we conducted an observational cohort study to examine differences in the risk of death involving COVID-19 between ethnic groups in the first wave (from 24th January 2020 until 31st August 2020) and second wave (from 1st September to 28th December 2020). We estimated age-standardised mortality rates (ASMR) in the two waves stratified by ethnic groups and sex. We also estimated hazard ratios (HRs) for ethnic-minority groups compared with the White British population, adjusted for geographical factors, socio-demographic characteristics, and pre-pandemic health conditions.ResultsThe study population included over 28.9 million individuals aged 30-100 years living in private households. In the first wave, all ethnic minority groups had a higher risk of COVID-19 related death compared to the White British population. In the second wave, the risk of COVID-19 death remained elevated for people from Pakistani (ASMR: 339.9 [95% CI: 303.7 – 376.2] and 166.8 [141.7 – 191.9] deaths per 100,000 population in men and women) and Bangladeshi (318.7 [247.4 – 390.1] and 127.1 [91.1 – 171.3] in men and women)background but not for people from Black ethnic groups. Adjustment for geographical factors explained a large proportion of the differences in COVID-19 mortality in the first wave but not in the second wave. Despite an attenuation of the elevated risk of COVID-19 mortality after adjusting for sociodemographic characteristics and health status, the risk was substantially higher in people from Bangladeshi and Pakistani background in both the first and the second waves.ConclusionBetween the first and second waves of the pandemic, the reduction in the difference in COVID-19 mortality between people from Black ethnic background and people from the White British group shows that ethnic inequalities in COVID-19 mortality can be addressed. The continued higher rate of mortality in people from Bangladeshi and Pakistani background is alarming and requires focused public health campaign and policy changes.*VN and NI contributed equally to this paperResearch in contextEvidence before this studyA recent systematic review by Pan and colleagues demonstrated that people of ethnic minority background in the UK and the USA have been disproportionately affected by the Coronavirus (COVID-19) pandemic, compared to White populations. While several studies have investigated whether adjusting for socio-demographic and economic factors and medical history reduces the estimated difference in risk of mortality and hospitalisation, the reasons for the differences in the risk of experiencing harms from COVID-19 are still being explored during the course of the pandemic. Studies so far have analysed the ethnic differences in COVID-19 mortality in the first wave of the pandemic. The evidence on the temporal trend of ethnic inequalities in COVID-19 mortality, especially those from the second wave of the pandemic, is scarce.Added value of this studyUsing data from the Office for National Statistics (ONS) Public Health Data Asset on 29 million adults aged 30-100 years living in private households in England, we conducted an observational cohort study to examine the differences in the risk of death involving COVID-19 between ethnic groups in the first wave (from 24th January 2020 until 31st August 2020) and second wave (from 1st September to 28th December 2020). We find that in the first wave all ethnic minority groups were at elevated risk of COVID-19 related death compared to the White British population. In the second wave, the differences in the risk of COVID-19 related death attenuated for Black African and Black Caribbean groups, remained substantially higher in people from Bangladeshi background, and worsened in people from Pakistani background. We also find that some of the factors explaining these differences in mortality have changed in the two waves.Implications of all the available evidenceThe risk of COVID-19 mortality during the first wave of the pandemic was elevated in people from ethnic minority background. An appreciable reduction in the difference in COVID-19 mortality in the second wave of the pandemic between people from Black ethnic background and people from the White British group is reassuring, but the continued higher rate of mortality in people from Bangladeshi and Pakistani background is alarming and requires focused public health campaign and policy response. Focusing on treating underlying conditions, although important, may not be enough in reducing the inequalities in COVID-19 mortality. Focused public health policy as well as community mobilisation and participatory public health campaign involving community leaders may help reduce the existing and widening inequalities in COVID-19 mortality.

scholarly journals Obesity, Ethnicity, and Covid-19 Mortality: A population-based cohort study of 12.6 Million Adults in England

2021 ◽  
Author(s):  
Thomas Yates ◽  
Annabel Summerfield ◽  
Cameron Razieh ◽  
Amitava Banerjee ◽  
Yogini Chudasama ◽  
...  
Keyword(s):  
Cohort Study ◽  
Electronic Health Records ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
South Asian ◽  
Minority Groups ◽  
Population Based ◽  
Ethnic Minority Groups ◽  
Health Records ◽  
Electronic Health

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.

scholarly journals Ethnic disparities in prevalence and patterns of smoking and nicotine dependence in rural southwest China: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e028770 ◽  
Author(s):  
Xu-Ming Wang ◽  
Chao Wu ◽  
Allison Rabkin Golden ◽  
Cai Le
Keyword(s):  
Ethnic Minority ◽  
Ethnic Groups ◽  
Nicotine Dependence ◽  
Southwest China ◽  
Minority Groups ◽  
Ethnic Disparities ◽  
Lower Probability ◽  
Ethnic Minority Groups ◽  
Cross Sectional ◽  
Current Smoking

ObjectivesThis study examines ethnic disparities in prevalence and patterns of smoking and nicotine dependence in rural southwest China.DesignThis was a cross-sectional design.SettingThis study was conducted in rural Yunnan Province of China.Participants7027 consenting individuals aged ≥35 years among Han majority and four ethnic minority groups (Na Xi, Li Shu, Dai and Jing Po) participated in this study. Information about participants’ demographic characteristics as well as smoking habits and an assessment of nicotine dependence with the Fagerstrom Test for Nicotine Dependence (FTND) was obtained using a standard questionnaire.ResultsMales had significantly higher prevalence of current smoking than females (64.8% and 44.4%, p<0.01). Among current smokers, the prevalence of nicotine dependence was significantly higher in males compared with females (19.9% and 7.1%, p<0.01). Jing Po men and women had the highest prevalence of current smokers (72.2% vs 23.1%, p<0.01), whereas the highest prevalence of nicotine dependence was found in male Dai current smokers and female Li Shu current smokers (44.8% vs 32.5%, p<0.01). Filtered cigarettes were the most popular form of tobacco used across all five ethnic groups. Over 75% of tobacco users initiated smoking and regularly smoked during adolescence, and those of minority ethnicity smoked regularly at a younger age than those of Han descent (p<0.05). Individuals in all five ethnic groups with higher levels of education had a lower probability of current smoking status (p<0.05), whereas a negative association of level of education with nicotine dependence was only observed in current smokers in the Han majority and Dai ethnic minority groups. Among Han majority current smokers, higher annual household income was associated with a higher risk of nicotine dependence (p<0.05).ConclusionFuture interventions to control tobacco use should be tailored to address ethnicity and socioeconomic factors.

scholarly journals Ethnic differences in COVID-19 mortality during the first two waves of the Coronavirus Pandemic: a nationwide cohort study of 29 million adults in England

2021 ◽  
Author(s):  
Vahé Nafilyan ◽  
Nazrul Islam ◽  
Rohini Mathur ◽  
Daniel Ayoubkhani ◽  
Amitava Banerjee ◽  
...  
Keyword(s):  
Public Health ◽  
Cohort Study ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
Minority Groups ◽  
Mortality Rates ◽  
Ethnic Minority Groups ◽  
Men And Women ◽  
Geographical Factors ◽  
Second Wave

AbstractEthnic minorities have experienced disproportionate COVID-19 mortality rates in the UK and many other countries. We compared the differences in the risk of COVID-19 related death between ethnic groups in the first and second waves the of COVID-19 pandemic in England. We also investigated whether the factors explaining differences in COVID-19 death between ethnic groups changed between the two waves. Using data from the Office for National Statistics Public Health Data Asset, a linked dataset combining the 2011 Census with primary care and hospital records and death registrations, we conducted an observational cohort study to examine differences in the risk of death involving COVID-19 between ethnic groups in the first wave (from 24th January 2020 until 31st August 2020) and the first part of the second wave (from 1st September to 28th December 2020). We estimated age-standardised mortality rates (ASMR) in the two waves stratified by ethnic groups and sex. We also estimated hazard ratios (HRs) for ethnic-minority groups compared with the White British population, adjusted for geographical factors, socio-demographic characteristics, and pre-pandemic health conditions. The study population included over 28.9 million individuals aged 30–100 years living in private households. In the first wave, all ethnic minority groups had a higher risk of COVID-19 related death compared to the White British population. In the second wave, the risk of COVID-19 death remained elevated for people from Pakistani (ASMR: 339.9 [95% CI: 303.7–376.2] and 166.8 [141.7–191.9] deaths per 100,000 population in men and women) and Bangladeshi (318.7 [247.4–390.1] and 127.1 [91.1–171.3] in men and women) background but not for people from Black ethnic groups. Adjustment for geographical factors explained a large proportion of the differences in COVID-19 mortality in the first wave but not in the second wave. Despite an attenuation of the elevated risk of COVID-19 mortality after adjusting for sociodemographic characteristics and health status, the risk was substantially higher in people from Bangladeshi and Pakistani background in both the first and the second waves. Between the first and second waves of the pandemic, the reduction in the difference in COVID-19 mortality between people from Black ethnic background and people from the White British group shows that ethnic inequalities in COVID-19 mortality can be addressed. The continued higher rate of mortality in people from Bangladeshi and Pakistani background is alarming and requires focused public health campaign and policy changes.

scholarly journals Ethnic Disparities in the Development of Sight-Threatening Diabetic Retinopathy in a UK Multi-Ethnic Population with Diabetes: An Observational Cohort Study

2021 ◽  
Vol 11 (8) ◽  
pp. 740
Author(s):  
Manjula D. Nugawela ◽  
Sarega Gurudas ◽  
Andrew Toby Prevost ◽  
Rohini Mathur ◽  
John Robson ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Ethnic Differences ◽  
Minority Groups ◽  
Treatment Options ◽  
Ethnic Disparities ◽  
Ethnic Minority Groups ◽  
The United Kingdom ◽  
Increased Risk ◽  
Observational Cohort ◽  
General Practices

There is little data on ethnic differences in incidence of DR and sight threatening DR (STDR) in the United Kingdom. We aimed to determine ethnic differences in the development of DR and STDR and to identify risk factors of DR and STDR in people with incident or prevalent type II diabetes (T2DM). We used electronic primary care medical records of people registered with 134 general practices in East London during the period from January 2007–January 2017. There were 58,216 people with T2DM eligible to be included in the study. Among people with newly diagnosed T2DM, Indian, Pakistani and African ethnic groups showed an increased risk of DR with Africans having highest risk of STDR compared to White ethnic groups (HR: 1.36 95% CI 1.02–1.83). Among those with prevalent T2DM, Indian, Pakistani, Bangladeshi and Caribbean ethnic groups showed increased risk of DR and STDR with Indian having the highest risk of any DR (HR: 1.24 95% CI 1.16–1.32) and STDR (HR: 1.38 95% CI 1.17–1.63) compared with Whites after adjusting for all covariates considered. It is important to optimise prevention, screening and treatment options in these ethnic minority groups to avoid health inequalities in diabetes eye care.

scholarly journals A Comparison of Excessive Drinking, Binge Drinking and Alcohol Dependence in Ethnic Minority Groups in the Netherlands: The HELIUS Study

2019 ◽  
Vol 26 (2) ◽  
pp. 66-76
Author(s):  
Jan G.C. van Amsterdam ◽  
Annemieke Benschop ◽  
Simone van Binnendijk ◽  
Marieke B. Snijder ◽  
Anja Lok ◽  
...  
Keyword(s):  
The Netherlands ◽  
Alcohol Dependence ◽  
Binge Drinking ◽  
Ethnic Minority ◽  
Minority Groups ◽  
Ethnic Minority Groups ◽  
Excessive Drinking ◽  
Helius Study

Ethnic Disparities in Dental Caries among Six-Year-Old Children in the Netherlands

2016 ◽  
Vol 50 (5) ◽  
pp. 489-497 ◽  
Author(s):  
Justin T. van der Tas ◽  
Lea Kragt ◽  
Jaap J.S. Veerkamp ◽  
Vincent W.V. Jaddoe ◽  
Henriette A. Moll ◽  
...  
Keyword(s):  
Oral Health ◽  
Dental Caries ◽  
Ethnic Minority ◽  
Minority Groups ◽  
Ethnic Disparities ◽  
Caries Experience ◽  
Caries Prevalence ◽  
Ethnic Minority Groups ◽  
Oral Health Behaviour ◽  
Dutch Children

The aim of this study was to investigate potential differences in caries prevalence of children from ethnic minority groups compared to native Dutch children and the influence of socio-economic status (SES) and parent-reported oral health behaviour on this association. The study had a cross-sectional design, embedded in a population-based prospective multi-ethnic cohort study. 4,306 children with information on caries experience, belonging to 7 different ethnic groups, participated in this study. The decayed, missing, and filled teeth (dmft) index was assessed at the age of 6 and categorized in two ways for analysis: children without caries (dmft = 0) versus any caries experience (dmft >0) and children without caries (dmft = 0) versus children with mild caries (dmft = 1-3) or severe caries (dmft >3). Compared to native Dutch children, children with a Surinamese-Hindustani, Surinamese-Creole, Turkish, Moroccan, and Cape Verdean background had significantly higher odds for dental caries. Especially the Surinamese-Hindustani, Turkish, and Moroccan group had significantly higher odds for severe dental caries. Household income and educational level of the mother explained up to 43% of the association between ethnicity and dental caries, whereas parent-reported oral health behaviour did not mediate the association. Alarming disparities in caries prevalence between different ethnic (minority) groups exist, which cannot be fully explained by social inequalities. Public health strategies can apply this new knowledge and specifically focus on the reduction of ethnic disparities in oral health. More research is needed to explain the high caries prevalence among different ethnic minority groups.

scholarly journals The sustainable development of the ethnic minorities in Vietnam: The Indian experience and policy implications

2021 ◽  
Vol 258 ◽  
pp. 05004
Author(s):  
Thanh Hang Pham ◽  
Ekaterina Nikolaeva
Keyword(s):  
Sustainable Development ◽  
Ethnic Minority ◽  
Ethnic Groups ◽  
Ethnic Minorities ◽  
Minority Groups ◽  
Legal Protection ◽  
Policy Implications ◽  
Ethnic Minority Groups ◽  
Indian Government ◽  
The Sustainable Development

India is a country with diverse ethnic groups. To ensure special rights and benefits for ethnic minority groups aim at the sustainable development of the ethnic groups, the Indian Government has regulations on preferential treatment in terms of policies, capital provision, education and employment opportunities included in its Constitution. In addition to providing legal protection to minorities in the Constitution, the Government also implements national projects to promote socio-economic development in ethnic minority areas, establishing various agencies to manage issues of the groups. These are useful recommendations for Vietnam in ensuring the rights of ethnic minorities. In this article, the author will focus on clarifying the basic contents of Indian Government for ensuring the rights of ethnic minority groups and drawing some policy suggestions for Vietnam.

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