scholarly journals SARS-CoV-2 antibody prevalence and correlates of six ethnic groups living in Amsterdam, the Netherlands: a population-based cross-sectional study, June–October 2020

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e052752
Author(s):  
Liza Coyer ◽  
Anders Boyd ◽  
Janke Schinkel ◽  
Charles Agyemang ◽  
Henrike Galenkamp ◽  
...  
Keyword(s):  
The Netherlands ◽  
Ethnic Groups ◽  
Population Based ◽  
Cross Sectional Study ◽  
Urban Setting ◽  
Antibody Prevalence ◽  
Calendar Time ◽  
Cross Sectional ◽  
Healthy Life ◽  
Small Children

ObjectivesIt has been suggested that ethnic minorities have been disproportionally affected by the COVID-19. We aimed to determine whether prevalence and correlates of past SARS-CoV-2 exposure varied between six ethnic groups in Amsterdam, the Netherlands.Design, setting, participantsParticipants aged 25–79 years enrolled in the Healthy Life in an Urban Setting population-based prospective cohort (n=16 889) were randomly selected within ethnic groups and invited to participate in a cross-sectional COVID-19 seroprevalence substudy.Outcome measuresWe tested participants for SARS-CoV-2-specific antibodies and collected information on SARS-CoV-2 exposures. We estimated prevalence and correlates of SARS-CoV-2 exposure within ethnic groups using survey-weighted logistic regression adjusting for age, sex and calendar time.ResultsBetween 24 June and 9 October 2020, we included 2497 participants. Adjusted SARS-CoV-2 seroprevalence was comparable between ethnic Dutch (24/498; 5.1%, 95% CI 2.8% to 7.4%), South-Asian Surinamese (22/451; 4.9%, 95% CI 2.2% to 7.7%), African Surinamese (22/400; 8.3%, 95% CI 3.1% to 13.6%), Turkish (30/408; 7.9%, 95% CI 4.4% to 11.4%) and Moroccan (32/391; 7.2%, 95% CI 4.2% to 10.1%) participants, but higher among Ghanaians (95/327; 26.3%, 95% CI 18.5% to 34.0%). 57.1% of SARS-CoV-2-positive participants did not suspect or were unsure of being infected, which was lowest in African Surinamese (18.2%) and highest in Ghanaians (90.5%). Correlates of SARS-CoV-2 exposure varied across ethnic groups, while the most common correlate was having a household member suspected of infection. In Ghanaians, seropositivity was associated with older age, larger household sizes, living with small children, leaving home to work and attending religious services.ConclusionsNo remarkable differences in SARS-CoV-2 seroprevalence were observed between the largest ethnic groups in Amsterdam after the first wave of infections. The higher infection seroprevalence observed among Ghanaians, which passed mostly unnoticed, warrants wider prevention efforts and opportunities for non-symptom-based testing.

scholarly journals SARS-CoV-2 antibody prevalence and determinants of six ethnic groups living in Amsterdam, the Netherlands: a population-based cross-sectional study, June-October 2020

2021 ◽  
Author(s):  
Liza Coyer ◽  
Anders Boyd ◽  
Janke Schinkel ◽  
Charles Agyemang ◽  
Henrike Galenkamp ◽  
...  
Keyword(s):  
The Netherlands ◽  
Ethnic Groups ◽  
South Asian ◽  
Ethnic Differences ◽  
Population Based ◽  
Cross Sectional Study ◽  
Antibody Prevalence ◽  
Calendar Time ◽  
Cross Sectional ◽  
Small Children

AbstractBackgroundEthnic minorities have higher rates of SARS-CoV-2 diagnoses, but little is known about ethnic differences in past exposure. We aimed to determine whether prevalence and determinants of SARS-CoV-2 exposure varied between six ethnic groups in Amsterdam, the Netherlands.MethodsParticipants aged 25-79 years enrolled in a population-based prospective cohort were randomly selected within ethnic groups and invited to test for SARS-CoV-2-specific antibodies and answer COVID-19 related questions. We estimated prevalence and determinants of SARS-CoV-2 exposure within ethnic groups using survey-weighted logistic regression adjusting for age, sex and calendar time.ResultsBetween June 24-October 9, 2020, we included 2497 participants. Adjusted SARS-CoV-2 seroprevalence was comparable between ethnic-Dutch (25/498; 5.5%, 95%CI=3.2-7.9), South-Asian Surinamese (22/451; 4.8%, 95%CI=2.1-7.5), African Surinamese (22/400; 8.2%, 95%CI=3.0-13.4), Turkish (30/408; 7.8%, 95%CI=4.3-11.2) and Moroccan (32/391; 7.0%, 95%CI=4.0-9.9) participants, but higher among Ghanaians (95/327; 26.5%, 95%CI=18.7-34.4). 57.1% of SARS-CoV-2-positive participants did not suspect or were unsure of being infected, which was lowest in African Surinamese (18.2%) and highest in Ghanaians (90.5%). Determinants of SARS-CoV-2 exposure varied across ethnic groups, while the most common determinant was having a household member suspected of infection. In Ghanaians, seropositivity was associated with older age, larger household sizes, living with small children, leaving home to work and attending religious services.ConclusionsNo remarkable differences in SARS-CoV-2 seroprevalence were observed between the largest ethnic groups in Amsterdam after the first wave of infections. The higher infection seroprevalence observed among Ghanaians, which passed mostly unnoticed, warrants wider prevention efforts and opportunities for non-symptom-based testing.

scholarly journals Geographical Distribution of Myasthenia Gravis in Northern Europe - Results from a Population-Based Study from Two Countries

2015 ◽  
Vol 44 (4) ◽  
pp. 221-231 ◽  
Author(s):  
Marion I. Boldingh ◽  
Angelina H. Maniaol ◽  
Cathrine Brunborg ◽  
Luuk Dekker ◽  
Anne T. Heldal ◽  
...  
Keyword(s):  
The Netherlands ◽  
Myasthenia Gravis ◽  
Antibody Test ◽  
Population Based ◽  
Cross Sectional Study ◽  
Northern Europe ◽  
Cross Sectional ◽  
Immunological Markers ◽  
Environmental Interactions ◽  
Positive Antibody

Objectives: To compare the prevalence of myasthenia gravis (MG) subgroups based on immunological markers and clinical presentation in two geographically complete MG populations in northern Europe. Methods: This cross-sectional study included all living MG patients in Norway and a regional cohort from the Netherlands. Patients were identified using their hospital registration codes. Medical charts of subjects >16 years were reviewed. Inclusion criteria were clinical MG, a positive antibody test for acetylcholine receptor (AChR MG) or muscle-specific kinase (MuSK MG), or if seronegative MG, confirmed by an electrophysiological test. Results: 1,205 MG patients (534 Norwegians and 671 Dutch) fulfilled the criteria, giving a higher point prevalence in the Netherlands (167/million, 95% CI 155-180) than in Norway (138/million, 95% CI 126-150). In particular, rates of AChR MG (143 vs. 111/million), MuSK MG (6.5 vs. 0.5/million), and ocular phenotype (62 vs. 24/million) were higher in the Netherlands. Conclusion: Novel findings are an AChR MG geographical north-south gradient and a 2.6-fold more ocular MG patients in the Netherlands than in Norway. The MuSK MG latitudinal gradient supports the notion of a north-south gradient in Europe, with a higher prevalence in the south. The variation is probably explained by genetic differences between the populations, in addition to environmental interactions.

scholarly journals Determinants for Acceptance of COVID-19 Vaccine among Nigerians

2021 ◽  
Author(s):  
Ugochukwu A Eze ◽  
Kingsley I Ndoh Ndoh ◽  
Babalola A. Ibisola ◽  
Chinemerem D. Onwuliri ◽  
Adenakan Osiyemi ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Tertiary Education ◽  
Positive Association ◽  
Population Based ◽  
Cross Sectional Study ◽  
Vaccine Hesitancy ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Vaccination Rates ◽  
Study Participants

Abstract AimTo assess the degree and determinants of COVID-19 Vaccine among NigeriansMaterials and methodsFollowing appropriate ethical protocol, a population-based cross-sectional study conducted from November 2020 to January 2021 using a pretested, self-administered questionnaire from a previous study adapted to suit the Nigeria setting and distributed among Nigerians aged 18 years and above. The country was grouped in to three regions: East, North and West representing the major ethnic groups in Nigeria. Participants were recruited based on six different catchments: residential, marketplace recreational areas, cooperate organizations, schools, and Faith-based organizations. Information obtained include socio-demographics, medical history related pertinent to COVID-19, level of knowledge, risk perception, and attitudes towards of COVID-19 and the vaccine amongst others. Descriptive and inferential statistics were done on the variables and results were summarized into percentages and associations noted.ResultsA total of 358 responses were obtained out of the 120 questionnaires distributed in each of the three regions of which. The mean age of respondents was 32years (± 11.2SD). Igbo and Yoruba were the major ethnic groups comprising 38% and 31% of study participants respectively. Three-quarter had tertiary education, 43% of them were civil servants and professionals, 34% of them were unemployed, and 8.9% of them were roadside traders. Majority (66.2%) were willing to accept the approved vaccine with male gender, identifying as Christian, Hausa ethnicity and living in the northern Nigeria had a significant positive association with COVID-19 vaccine uptake.Conclusiontwo out of three Nigerian adults indicated interest in accepting the corona virus vaccine. This calls with critical stakeholders and leaders at all levels to be involved in public education based on sound evidence and the discouragement of the spread of conspiracy theories to eliminate the negative associated factors will reduce vaccine hesitancy and increase COVID-19 vaccination rates in Nigeria.

scholarly journals Frequencies and ethnic distribution of ABO and RhD blood groups in China: a population-based cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e018476 ◽  
Author(s):  
Jue Liu ◽  
Shikun Zhang ◽  
Qiaomei Wang ◽  
Haiping Shen ◽  
Yiping Zhang ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Population Based ◽  
Cross Sectional Study ◽  
Blood Groups ◽  
Blood Collection ◽  
Health Examination ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Asian Populations

ObjectivesABO and RhD blood groups are key factors affecting blood transfusion safety. The distribution of ABO and RhD blood groups varies globally, but limited data exist for ethnic distributions of these blood groups in Asian populations. We aimed to evaluate the distribution of ABO and RhD blood groups among Chinese ethnic groups.DesignA population-based cross-sectional study.SettingData on ABO groups and ethnicities were obtained from the National Free Preconception Health Examination Project (NFPHEP) with participants from 220 counties of 31 provinces in ChinaParticipantsThere were 3 832 034 participants aged 21–49 years who took part in the NFPHEP from January 2010 to December 2012 and were included in this study.Outcome MeasuresThe proportion of ABO and RhD blood groups among different ethnic groups was calculated.ResultsABO and RhD blood distribution was significantly different among nine ethnic groups (P<0.001). Compared with other ethnic groups, the Yi group had more A phenotypes (34.0%), and the Manchu (33.7%) and Mongolian (33.3%) ethnic groups had more B phenotypes. The Zhuang group had the greatest proportion of O phenotypes (41.8%), followed by the Miao group (37.7%). AB phenotypes were more frequent in the Uygur ethnic group (10.6%) but lower in the Zhuang group (5.5%). Meanwhile, RhD negativity (RhD–) was greater in the Uygur group (3.3%) than in the Mongolian (0.3%) and Manchu ethnic groups (0.4%). O RhD– blood groups were more frequent in the Uygur group (0.8%) than in the other ethnic groups (0.1%–0.4%, P<0.001).ConclusionABO and RhD blood phenotypes vary across different ethnic groups in China. The diversity in the distribution of the ABO and RhD blood groups in different ethnic groups should be considered when developing rational and evidence-based strategies for blood collection and management.

scholarly journals Cohort profile: the Healthy Life in an Urban Setting (HELIUS) study in Amsterdam, The Netherlands

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e017873 ◽  
Author(s):  
Marieke B Snijder ◽  
Henrike Galenkamp ◽  
Maria Prins ◽  
Eske M Derks ◽  
Ron J G Peters ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
The Netherlands ◽  
Ethnic Groups ◽  
Urban Setting ◽  
Healthy Life ◽  
Inequalities In Health ◽  
Helius Study ◽  
First Results ◽  
Underlying Causes

PurposeEthnic minority groups usually have a more unfavourable disease risk profile than the host population. In Europe, ethnic inequalities in health have been observed in relatively small studies, with limited possibilities to explore underlying causes. The aim of the Healthy Life in an Urban Setting (HELIUS) study is to investigate the causes of (the unequal burden of) diseases across ethnic groups, focusing on three disease categories: cardiovascular diseases, mental health and infectious diseases.ParticipantsThe HELIUS study is a prospective cohort study among six large ethnic groups living in Amsterdam, the Netherlands. Between 2011 and 2015, a total 24 789 participants (aged 18–70 years) were included at baseline. Similar-sized samples of individuals of Dutch, African Surinamese, South-Asian Surinamese, Ghanaian, Turkish and Moroccan origin were included. Participants filled in an extensive questionnaire and underwent a physical examination that included the collection of biological samples (biobank).Findings to dateData on physical, behavioural, psychosocial and biological risk factors, and also ethnicity-specific characteristics (eg, culture, migration history, ethnic identity, socioeconomic factors and discrimination) were collected, as were measures of health outcomes (cardiovascular, mental health and infections). The first results have confirmed large inequalities in health between ethnic groups, such as diabetes and depressive symptoms, and also early markers of disease such as arterial wave reflection and chronic kidney disease, which can only just partially be explained by inequalities in traditional risk factors, such as obesity and socioeconomic status. In addition, the first results provided important clues for targeting prevention and healthcare.Future plansHELIUS will be used for further research on the underlying causes of ethnic differences in health. Follow-up data will be obtained by repeated measurements and by linkages with existing registries (eg, hospital data, pharmacy data and insurance data).

scholarly journals Identifying longitudinal clusters of multimorbidity in an urban setting: A population-based cross-sectional study

2021 ◽  
Vol 3 ◽  
pp. 100047 ◽  
Author(s):  
Alessandra Bisquera ◽  
Martin Gulliford ◽  
Hiten Dodhia ◽  
Lesedi Ledwaba-Chapman ◽  
Stevo Durbaba ◽  
...  
Keyword(s):  
Population Based ◽  
Cross Sectional Study ◽  
Urban Setting ◽  
Sectional Study ◽  
Cross Sectional
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