Evidence map›Paper›PMID 28699411›Full record

ArticleScandinavian journal of public health2018

Ethnic disparities in educational and occupational gradients of estimated cardiovascular disease risk: The Healthy Life in an Urban Setting study.

Wilco Perini, Charles Agyemang, Marieke B Snijder, Ron J G Peters, Anton E Kunst

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Article in Scandinavian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wilco Perini1 Department of Public Health, Academic Medical Center of the University of Amsterdam, The Netherlands.
Charles Agyemang1 Department of Public Health, Academic Medical Center of the University of Amsterdam, The Netherlands.
Marieke B Snijder1 Department of Public Health, Academic Medical Center of the University of Amsterdam, The Netherlands.
Ron J G Peters2 Department of Cardiology, Academic Medical Center of the University of Amsterdam, The Netherlands.
Anton E Kunst1 Department of Public Health, Academic Medical Center of the University of Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEuropean societies are becoming increasingly ethnically diverse. This may have important implications for socio-economic inequalities in health due to the often disadvantaged position of ethnic minority groups in both socio-economic status (SES) and disease, especially cardiovascular disease (CVD).

objectiveThe aim of this study was to determine whether the socio-economic gradient of estimated CVD risk differs between ethnic groups.

methodsUsing the Healthy Life in an Urban Setting study, we obtained data on SES and CVD risk factors among participants from six ethnic backgrounds residing in Amsterdam. SES was measured using educational level and occupational level. CVD risk was estimated based on the occurrence of CVD risk factors using the Dutch version of the systematic coronary risk evaluation algorithm. Ethnic disparities in socio-economic gradients for estimated CVD risk were determined using the relative index of inequality (RII).

resultsAmong Dutch-origin men, the RII for estimated CVD risk according to educational level was 6.15% (95% confidence interval [CI] 4.35-7.96%), indicating that those at the bottom of the educational hierarchy had a 6.15% higher estimated CVD risk relative than those at the top. Among Dutch-origin women, the RII was 4.49% (CI 2.45-6.52%). The RII was lower among ethnic minority groups, ranging from 0.83% to 3.13% among men and -0.29% to 5.12% among women, indicating weaker associations among these groups. Results were similar based on occupational level.

conclusionsEthnic background needs to be considered in associations between SES and disease. The predictive value of SES varies between ethnic groups and may be quite poor for some groups.

Indexed as

Educational StatusHealth Status DisparitiesAdultCardiovascular DiseasesCohort StudiesEthnicityFemaleHumansMaleMiddle AgedNetherlandsOccupationsRisk FactorsUrban PopulationCardiovascular diseasecardiovascular risk factorseducational inequalitiesethnic inequalitiesoccupational inequalitiespreventionsocio-economic inequalities

Identifiers

PMID28699411
PMCPMC5871022

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.