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Prevalence of the metabolic syndrome using two proposed definitions in a Japanese-Brazilians community

Overview of attention for article published in Diabetology & Metabolic Syndrome, August 2012
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5 tweeters

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3 Dimensions

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12 Mendeley
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Title
Prevalence of the metabolic syndrome using two proposed definitions in a Japanese-Brazilians community
Published in
Diabetology & Metabolic Syndrome, August 2012
DOI 10.1186/1758-5996-4-38
Pubmed ID
Authors

Maria C Foss-Freitas, Patricia M Gomes, Regina CG Andrade, Roberta C Figueiredo, Ana E Pace, Amaury L Dal Fabbro, Luciana Z Monteiro, Laercio J Franco, Milton C Foss

Abstract

Metabolic Syndrome (MetS) is associated with increased risk of morbi-mortality, thus the characterization of the population magnitude of this syndrome is critical for allocating health care. However, prevalence estimates of MetS in the same population could differ depending on the definition used. Therefore, we compared the prevalence of the MetS using definitions proposed by: National Cholesterol Education Panel Revised (NCEP) and International Diabetes Federation (IDF) 2009 in a Japanese-Brazilians community (131 individuals, age 57 ± 16 years, 1st and 2nd generation). All individuals went through a clinical and laboratorial evaluation for assessment of weigh, height, waist circumference, blood pressure, triglycerides, HDL-cholesterol and fasting plasma glucose. The prevalence of MetS was 26.7% (n = 35) and 37.4% (n = 49) under the NCEP and IDF definitions, respectively. Despite higher blood pressure measurements, waist circumference and serum triglyceride levels and lower HDL cholesterol levels (p < 0.01), individuals identified with MetS did not show increased blood glucose levels. IDF definition classified 14 individuals (10.7%) with MetS that were not classified under the NCEP and 35 individuals were identified with MetS by both criteria. We observed, in this group, more severe lipid disorders, compared to individuals identified only under the IDF definition, and the BMI and waist circumference (p = 0.01; p = 0.006, respectively) were lower. In conclusion, the IDF revised criteria, probably because of the ethnic specific values of waist circumference, was able to identify a larger number of individuals with MetS. However, our data suggesting that additional studies are necessary to define best MetS diagnostic criteria in this population.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 2 17%
Student > Master 2 17%
Student > Postgraduate 2 17%
Student > Bachelor 1 8%
Other 1 8%
Other 3 25%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 6 50%
Pharmacology, Toxicology and Pharmaceutical Science 3 25%
Social Sciences 1 8%
Business, Management and Accounting 1 8%
Unknown 1 8%

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 18 August 2012.
All research outputs
#9,722,942
of 17,944,974 outputs
Outputs from Diabetology & Metabolic Syndrome
#182
of 496 outputs
Outputs of similar age
#68,098
of 139,708 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#1
of 1 outputs
Altmetric has tracked 17,944,974 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 496 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 61% 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 139,708 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them