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Significant association of metabolic syndrome with silent brain infarction in elderly people

Overview of attention for article published in Journal of Neurology, June 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
wikipedia
1 Wikipedia page

Citations

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41 Dimensions

Readers on

mendeley
45 Mendeley
Title
Significant association of metabolic syndrome with silent brain infarction in elderly people
Published in
Journal of Neurology, June 2009
DOI 10.1007/s00415-009-5201-8
Pubmed ID
Authors

Hyung-Min Kwon, Beom Joon Kim, Jin-Ho Park, Wi-Sun Ryu, Chi-Kyung Kim, Su-Ho Lee, Sang-Bae Ko, Hyunwoo Nam, Seung-Hoon Lee, Yong-Seok Lee, Byung-Woo Yoon

Abstract

A silent brain infarction (SBI) can predict clinical overt stroke or dementia. Studies focusing on the elderly population, where SBI is most common, are sparse. We examined the associations between SBI and metabolic syndrome (MetS) in healthy elderly individuals. Neurologically healthy subjects (1,254 persons, 723 males) aged > or =65 years who underwent brain MRI were evaluated. MetS was diagnosed following the AHA/NHLBI-2005 criteria. We examined associations between full syndrome (at least three of the five conditions) as well as its components and SBI while controlling for possible confounders. One hundred and ninety-seven subjects (15.7%) were found to have one or more SBIs on MRI. Age (1-year difference) was found to be significantly related to SBI prevalence (OR 1.09; 95% CI 1.05-1.12). MetS was significantly associated with SBI (OR 1.68; 95% CI 1.15-2.44). The component model of MetS showed a strong significance between elevated blood pressure (OR 1.89; 95% CI 1.23-2.91) and SBI. Subjects exhibiting more components of MetS showed more prevalent SBI and multiple SBIs. MetS was found to be significantly associated with SBI in neurologically healthy elderly people. The positive trend between the number of MetS components and SBI could be used as a diagnostic tool to predict and prevent future stroke.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Bulgaria 1 2%
Korea, Republic of 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Researcher 6 13%
Other 5 11%
Professor > Associate Professor 5 11%
Professor 3 7%
Other 10 22%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 23 51%
Psychology 4 9%
Neuroscience 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 February 2016.
All research outputs
#2,937,708
of 22,790,780 outputs
Outputs from Journal of Neurology
#628
of 4,475 outputs
Outputs of similar age
#9,895
of 98,667 outputs
Outputs of similar age from Journal of Neurology
#1
of 26 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,475 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 85% 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 98,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.