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Sex Differences in Correlates of Intermediate Phenotypes and Prevalent Cardiovascular Disease in the General Population

Overview of attention for article published in Frontiers in Cardiovascular Medicine, April 2015
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Title
Sex Differences in Correlates of Intermediate Phenotypes and Prevalent Cardiovascular Disease in the General Population
Published in
Frontiers in Cardiovascular Medicine, April 2015
DOI 10.3389/fcvm.2015.00015
Pubmed ID
Authors

Renate B. Schnabel, Philipp S. Wild, Jürgen H. Prochaska, Francisco M. Ojeda, Tanja Zeller, Nargiz Rzayeva, Ariana Ebrahim, Karl J. Lackner, Manfred E. Beutel, Norbert Pfeiffer, Christoph R. Sinning, Sabine Oertelt-Prigione, Vera Regitz-Zagrosek, Harald Binder, Thomas Münzel, Stefan Blankenberg, for the Gutenberg Health Study Investigators

Abstract

There are marked sex differences in cardiovascular disease (CVD) manifestation. It is largely unknown how the distribution of CVD risk factors or intermediate phenotypes explain sex-specific differences. In 5000 individuals of the population-based Gutenberg Health Study, mean age 55 ± 11 years, 51% males, we examined sex-specific associations of classical CVD risk factors with intima-media thickness, ankle-brachial index, flow-mediated dilation, peripheral arterial tonometry, echocardiographic, and electrocardiographic variables. Intermediate cardiovascular phenotypes were related to prevalent CVD [coronary artery disease, heart failure, stroke, myocardial infarction, lower extremity artery disease (LEAD) N = 561]. We observed differential distributions of CVD risk factors with a higher risk factor burden in men. Manifest coronary artery disease, stroke, myocardial infarction, and LEAD were more frequent in men; the proportion of heart failure was higher in women. Intermediate phenotypes showed clear sex differences with more beneficial values in women. Fairly linear changes toward less beneficial values with age were observed in both sexes. In multivariable-adjusted regression analyses, age, systolic blood pressure, and body mass index were consistently associated with intermediate phenotypes in both sexes with different ranking according to random forests, maximum model R(2) 0.43. Risk factor-adjusted associations with prevalent CVD showed some differences by sex. No interactions by menopausal status were observed. In a population-based cohort, we observed sex differences in risk factors and a broad range of intermediate phenotypes of non-invasive cardiovascular structure and function. Their relation to prevalent CVD differed markedly. Our results indicate the need of future investigations to understand sex differences in CVD manifestation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Medicine and Dentistry 9 28%
Agricultural and Biological Sciences 4 13%
Social Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Other 3 9%
Unknown 12 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 December 2015.
All research outputs
#13,432,116
of 22,799,071 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,584
of 6,668 outputs
Outputs of similar age
#127,630
of 264,077 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#3
of 15 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,668 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 264,077 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 50% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.