Ethnic differences in self-reported sleep duration in the Netherlands – the HELIUS study

2014 ◽  
Vol 15 (9) ◽  
pp. 1115-1121 ◽  
Author(s):  
Kenneth Anujuo ◽  
Karien Stronks ◽  
Marieke B. Snijder ◽  
Girardin Jean-Louis ◽  
Gbenga Ogedegbe ◽  
...  
Keyword(s):  
The Netherlands ◽  
Sleep Duration ◽  
Ethnic Differences ◽  
Helius Study

scholarly journals FP105EXPLAINING FACTORS FOR ETHNIC DIFFERENCES IN ESTIMATED GFR IN THE NETHERLANDS : THE HELIUS STUDY

2018 ◽  
Vol 33 (suppl_1) ◽  
pp. i12-i13
Author(s):  
B J M V Huisman ◽  
B Hafkamp ◽  
C Agyemang ◽  
B J H van den Born ◽  
R J G Peters ◽  
...  
Keyword(s):  
The Netherlands ◽  
Ethnic Differences ◽  
Estimated Gfr ◽  
Helius Study

scholarly journals Contribution of short sleep duration to ethnic differences in cardiovascular disease: results from a cohort study in the Netherlands

BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e017645 ◽  
Author(s):  
Kenneth Anujuo ◽  
Charles Agyemang ◽  
Marieke B Snijder ◽  
Girardin Jean-Louis ◽  
Bert-Jan van den Born ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
The Netherlands ◽  
Sleep Duration ◽  
Ethnic Differences ◽  
Urban Setting ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Short Sleep Duration ◽  
Short Sleep

ObjectivesWe analysed association between short sleep duration and prevalence of cardiovascular disease (CVD) in a multiethnic population living in the Netherlands, and the contribution of short sleep to the observed ethnic differences in the prevalence of CVD, independent of CVD risk factors.Methods20 730 participants (aged 18–71 years) of the HELIUS (Healthy Life in an Urban Setting) Study were investigated. Self-reported sleep duration was classified as: short (<7 hours/night) and healthy (7–9 hours/night). Prevalence of CVD was assessed using the Rose Questionnaire on angina pectoris, intermittent claudication and possible myocardial infarction. Association of short sleep duration with prevalent CVD and the contribution of short sleep to the observed ethnic differences in the prevalence of CVD were analysed using adjusted prevalence ratio(s) (PRs) with 95% CI.ResultsResults indicate that short sleep was associated with CVD among all ethnic groups with PRs ranging from 1.41 (95% CI 1.21 to 1.65) in Moroccans to 1.62 (95% CI 1.20 to 2.18) in Dutch after adjustment for age, sex and conventional CVD risk factors. The independent contributions of short sleep (in percentage) to ethnic differences in CVD compared with Dutch were 10%, 15%, 15%, 5% and 5% in South-Asian Surinamese, African-Surinamese, Ghanaian, Turkish and Moroccan, respectively.ConclusionShort sleep contributed to ethnic differences in CVD independent of well-known CVD risk factors particularly in Surinamese and Ghanaian groups. Reducing sleep deprivation may be a relevant entry point for reducing increased CVD risks among the various ethnic minority groups.

scholarly journals Body size ideals and body satisfaction among Dutch-origin and African-origin residents of Amsterdam: The HELIUS study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252054
Author(s):  
Jody C. Hoenink ◽  
Henrike Galenkamp ◽  
Erik J. Beune ◽  
Marieke A. Hartman ◽  
Marieke B. Snijder ◽  
...  
Keyword(s):  
Body Weight ◽  
Body Size ◽  
The Netherlands ◽  
Ethnic Minorities ◽  
Ethnic Differences ◽  
Body Satisfaction ◽  
Weight Perception ◽  
Healthy Weight ◽  
Helius Study ◽  
Sub Saharan

Objective Obesity is highly prevalent among ethnic minorities and acceptance of larger body sizes may put these ethnic minorities at risk of obesity. This study aimed to examine body size ideals and body satisfaction in relation to body weight, in two Sub-Saharan African (SSA)-origin groups in the Netherlands compared to the Dutch. Additionally, in the two SSA-origin groups, this study assessed the mediating role of acculturation in the relation between ethnicity and body size ideals and body satisfaction. Methods Dutch, African Surinamese and Ghanaians living in Amsterdam, the Netherlands, participated in the observational HELIUS study (n = 10,854). Body size ideals were assessed using a validated nine figure scale. Body satisfaction was calculated as the concordance of current with ideal figure. Acculturation was only assessed among SSA-origin participants and acculturation proxies included age of migration, residence duration, ethnic identity and social network. Weight and height were measured using standardised protocols. Results SSA-origin women and Ghanaian men had larger body size ideals compared to the Dutch; e.g. Surinamese and Ghanaian women had 0.37 (95%CI 0.32; 0.43) and 0.70 (95%CI 0.63; 0.78) larger body size ideals compared to Dutch women. SSA-origin participants were more often satisfied with their weight compared to the Dutch. Similarly, SSA-origin participants had more than twice the odds of being satisfied/preferring a larger figure compared to the Dutch (e.g. BSurinamese men 2.44, 95%CI 1.99; 2.99). Within the two SSA-origin groups, most acculturation proxies mediated the relation between ethnicity and body size ideals in women. Limited evidence of mediation was found for the outcome body satisfaction. Conclusion Public health strategies promoting a healthy weight may need to be differentiated according to sex and ethnic differences in body weight perception. Factors other than acculturation may underlie the ethnic differences between African Surinamese and Ghanaians in obesity.

Relationship between short sleep duration and cardiovascular risk factors in a multi-ethnic cohort – the helius study

2015 ◽  
Vol 16 (12) ◽  
pp. 1482-1488 ◽  
Author(s):  
Kenneth Anujuo ◽  
Karien Stronks ◽  
Marieke B. Snijder ◽  
Girardin Jean-Louis ◽  
Femke Rutters ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Helius Study

scholarly journals Ethnic differences in colon cancer care in the Netherlands: a nationwide registry-based study

BMC Cancer ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
M. Lamkaddem ◽  
M. A. G. Elferink ◽  
M. C. Seeleman ◽  
E. Dekker ◽  
C. J. A. Punt ◽  
...  
Keyword(s):  
Colon Cancer ◽  
The Netherlands ◽  
Ethnic Differences ◽  
Cancer Care ◽  
Nationwide Registry ◽  
Colon Cancer Care

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.

Abstract P198: Does Neighborhood Poverty Account for Race/Ethnic Differences in Sleep Duration?

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Bonnie R Bright ◽  
Mercedes R Carnethon ◽  
Peter John D De Chavez ◽  
Kwang-Youn Kim ◽  
Kristen L Knutson ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Ethnic Differences ◽  
Census Tract ◽  
Social Stress ◽  
Noise Exposure ◽  
High Poverty ◽  
Sleep Study ◽  
White Participant ◽  
Neighborhood Poverty ◽  
Racial Ethnic

Introduction: Shorter sleep duration and poorer quality sleep are commonly observed in non-white vs. white racial/ethnic groups. Reasons for these racial/ethnic differences are unknown. Our objective is to determine whether neighborhood poverty, which may reflect more noise exposure, crowding and social stress, explains racial/ethnic differences in sleep. Methods: The Chicago Area Sleep Study identified men and women 35-64 years old without sleep apnea via commercially available telephone listings (N=510; 31% Black, 22% Asian, 21% Hispanic, and 26% White). Participant addresses were geocoded, and residence in a census tract with >20% poverty based on American Community Survey data was classified as “high poverty”. Participants wore wrist actigraphs for 7 days (Actiwatch TM ) to determine sleep duration and sleep percentage (percentage of time during the primary sleep interval spent sleeping). Multivariable regression analysis was used to test whether race remained significantly associated with sleep following adjustment for neighborhood poverty. Results: Black (86%) and Hispanic (66%) participants were more likely to live in high poverty areas as compared with Whites (33%) and Asians (6%). In unadjusted analyses, living in a high poverty census tract was associated with a significantly lower mean sleep percentage (β= -1.80, SE=0.42, p<0.01) and a higher odds of sleeping <6 hrs/night (OR=1.65, 95% CI: 1.02, 2.67). However, these associations were attenuated in adjusted models, and they did not account for race differences in sleep (Table). Conclusions: Neighborhood poverty was unassociated with a lower sleep percentage or shorter sleep in adjusted models, and it did not account for racial/ethnic differences in sleep. Further investigation of specific features of neighborhood poverty (e.g., crime, crowding) and household environment factors that may explain racial/ethnic differences in sleep is warranted.

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