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Differential Impact of Risk Factors in Blacks and Whites in the Development of Atrial Fibrillation: the Reasons for Geographic And Racial Differences in Stroke (REGARDS) Study

Overview of attention for article published in Journal of Racial and Ethnic Health Disparities, August 2016
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Title
Differential Impact of Risk Factors in Blacks and Whites in the Development of Atrial Fibrillation: the Reasons for Geographic And Racial Differences in Stroke (REGARDS) Study
Published in
Journal of Racial and Ethnic Health Disparities, August 2016
DOI 10.1007/s40615-016-0275-3
Pubmed ID
Authors

Wesley T. O’Neal, Suzanne E. Judd, Nita A. Limdi, William F. McIntyre, Dawn O. Kleindorfer, Mary Cushman, Virginia J. Howard, George Howard, Elsayed Z. Soliman

Abstract

Despite a higher prevalence of risk factors, atrial fibrillation (AF) is less prevalent in blacks than whites. To address this paradox, we examined racial differences in the magnitude of AF risk associated with common risk factors. Participants (13,688; mean age = 63 ± 8.4 years; 56 % female; 37 % black) from the Reasons for Geographic And Racial Differences in Stroke study who were free of baseline AF were included. Incident AF was identified at a follow-up examination by electrocardiogram and self-reported medical history. Poisson regression was used to compute relative risk (RR) and 95 % confidence intervals (CI) for the association between risk factors and incident AF in blacks and whites, separately. Age- and sex-adjusted population attributable fractions (PAFs) of modifiable AF risk factors were computed. After median follow-up of 9.4 years, 997 (7.3 %) incident AF cases were detected. Black race was associated with a lower risk of AF (RR = 0.46, 95 % CI = 0.39, 0.53). Significant risk factors for AF were age, male sex, hypertension, obesity, and cardiovascular disease. A differential association was detected for smoking by race, with the association being stronger in blacks (RR = 1.41, 95 % CI = 1.07, 1.85) compared with whites (RR = 1.01, 95 % CI = 0.88, 1.16; P interaction = 0.030). The PAFs for hypertension (blacks = 27.4 %, whites = 19.4 %), obesity (blacks = 16.9 %, whites = 11.8 %), and smoking (blacks = 17.9 %, whites = 2.5 %) were higher for blacks than whites. Modifiable risk factors are important in AF development among blacks despite a lower risk of the arrhythmia. Racial differences in the magnitude of the association of individual AF risk factors do not explain the AF paradox.

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Mendeley readers

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Other 7 15%
Student > Postgraduate 4 9%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Other 12 26%
Unknown 8 17%
Readers by discipline Count As %
Medicine and Dentistry 22 48%
Social Sciences 4 9%
Nursing and Health Professions 3 7%
Agricultural and Biological Sciences 2 4%
Psychology 1 2%
Other 3 7%
Unknown 11 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 August 2016.
All research outputs
#18,467,727
of 22,883,326 outputs
Outputs from Journal of Racial and Ethnic Health Disparities
#895
of 1,014 outputs
Outputs of similar age
#240,299
of 313,450 outputs
Outputs of similar age from Journal of Racial and Ethnic Health Disparities
#14
of 18 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.4. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 313,450 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.