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Ethnic disparities in estimated cardiovascular disease risk in Amsterdam, the Netherlands

Overview of attention for article published in Netherlands Heart Journal, April 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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28 Dimensions

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Title
Ethnic disparities in estimated cardiovascular disease risk in Amsterdam, the Netherlands
Published in
Netherlands Heart Journal, April 2018
DOI 10.1007/s12471-018-1107-3
Pubmed ID
Authors

W. Perini, M. B. Snijder, R. J. G. Peters, A. E. Kunst

Abstract

Ethnic differences have been reported in cardiovascular disease (CVD) risk factors. It is still unclear which ethnic groups are most at risk for CVD when all traditional CVD risk factors are considered together as overall risk. To examine ethnic differences in overall estimated CVD risk and the risk factors that contribute to these differences. Using data of the multi-ethnic HELIUS study (HEalthy LIfe in an Urban Setting) from Amsterdam, we examined whether estimated CVD risk and risk factors among those eligible for CVD risk estimation differed between participants of Dutch, South Asian Surinamese, African Surinamese, Ghanaian, Turkish and Moroccan origin. Using the Systematic COronary Risk Evaluation (SCORE) algorithm, we estimated risk of fatal CVD and risk of fatal plus non-fatal CVD. These risks were compared between ethnic groups via age-adjusted linear regression analyses. The SCORE algorithm was applicable to 9,128 participants. Relative to the fatal CVD risk of participants of Dutch origin, South Asian Surinamese participants showed a higher fatal CVD risk, Ghanaian males a lower fatal CVD risk, and participants of other ethnic origins a similar fatal CVD risk. For fatal plus non-fatal CVD risk, African Surinamese and Turkish men also showed a higher risk. When diabetes was incorporated in the CVD risk algorithm, all but Ghanaian men showed a higher CVD risk relative to the participants of Dutch origin (betas ranging from 0.98-3.10%). The CVD risk factors that contribute the most to these ethnic differences varied between ethnic groups. Ethnic minority groups are at a greater estimated risk of fatal plus non-fatal CVD relative to the group of native Dutch. Further research is necessary to determine whether this will translate to ethnic differences in CVD incidence and, if so, whether ethnic-specific CVD prevention strategies are warranted.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Ph. D. Student 3 11%
Student > Bachelor 2 7%
Unspecified 1 4%
Other 1 4%
Other 1 4%
Unknown 14 50%
Readers by discipline Count As %
Nursing and Health Professions 4 14%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 11%
Unknown 14 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2018.
All research outputs
#12,964,573
of 23,056,273 outputs
Outputs from Netherlands Heart Journal
#219
of 522 outputs
Outputs of similar age
#157,084
of 329,183 outputs
Outputs of similar age from Netherlands Heart Journal
#2
of 9 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 522 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.