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The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study

Overview of attention for article published in BMC Public Health, December 2015
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Title
The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study
Published in
BMC Public Health, December 2015
DOI 10.1186/s12889-015-2630-4
Pubmed ID
Authors

Marquita W. Lewis, Yulia Khodneva, Nicole Redmond, Raegan W. Durant, Suzanne E. Judd, Larrell L. Wilkinson, Virginia J. Howard, Monika M. Safford

Abstract

We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study. The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and collected participant-reported and in-home physiologic variables at baseline, with expert adjudicated CHD endpoints during follow-up. Mutually exclusive income-education groups were: low income (annual household income <$35,000)/low education (< high school), low income/high education, high income/low education, and high income/high education. Cox models estimated hazard ratios (HR) for incident CHD for each exposure group, examining differences by age group. At baseline, 24,461 participants free of CHD experienced 809 incident CHD events through December 31, 2011 (median follow-up 6.0 years; interquartile range 4.5-7.3 years). Those with low income/low education had the highest incidence of CHD (10.1 [95 % CI 8.4-12.1]/1000 person-years). After full adjustment, those with low income/low education had higher risk of incident CHD (HR 1.42 [95 % CI: 1.14-1.76]) than those with high income/high education, but findings varied by age. Among those aged <65 years, compared with those reporting high income/high education, risk of incident CHD was significantly higher for those reporting low income/low education and low income/high education (adjusted HR 2.07 [95 % CI 1.42-3.01] and 1.69 [95 % CI 1.30-2.20], respectively). Those aged ≥65 years, risk of incident CHD was similar across income-education groups after full adjustment. For younger individuals, low income, regardless of education, was associated with higher risk of CHD, but not observed for ≥65 years. Findings suggest that for younger participants, education attainment may not overcome the disadvantage conferred by low income in terms of CHD risk, whereas among those ≥65 years, the independent effects of income and education are less pronounced.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 27%
Student > Doctoral Student 6 10%
Student > Ph. D. Student 6 10%
Student > Bachelor 5 8%
Researcher 5 8%
Other 5 8%
Unknown 17 28%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Social Sciences 9 15%
Nursing and Health Professions 7 12%
Psychology 3 5%
Immunology and Microbiology 1 2%
Other 5 8%
Unknown 22 37%
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 28 July 2021.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from BMC Public Health
#11,459
of 15,005 outputs
Outputs of similar age
#231,779
of 393,914 outputs
Outputs of similar age from BMC Public Health
#204
of 263 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 16th percentile – i.e., 16% 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 393,914 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.