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Waist measure and waist-to-hip ratio and identification of clinical conditions of cardiovascular risk: multicentric study in type 2 diabetes mellitus patients

Overview of attention for article published in Archives of Endocrinology and Metabolism, May 2007
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Mentioned by

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5 Wikipedia pages

Citations

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31 Dimensions

Readers on

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23 Mendeley
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Title
Waist measure and waist-to-hip ratio and identification of clinical conditions of cardiovascular risk: multicentric study in type 2 diabetes mellitus patients
Published in
Archives of Endocrinology and Metabolism, May 2007
DOI 10.1590/s0004-27302007000300013
Pubmed ID
Authors

Paula Xavier Picon, Cristiane Bauerman Leitão, Fernando Gerchman, Mirela Jobim de Azevedo, Sandra Pinho Silveiro, Jorge Luiz Gross, Luís Henrique Canani

Abstract

Abdominal obesity is associated with cardiovascular disease. This study aims to compare two measures of abdominal obesity [waist and wais-to-hip ratio (WHR)] in patients with DM2 to identify cardiovascular risk factors: ischemic cardiopathy, hypertension, dislipidemia, obesity and diabetic nephropathy. A multicentric study was performed in 820 patients with type 2 DM. Waist circumference strongly correlated with body mass index (BMI), for men (r= 0.814; P< 0.05) and women (r= 0.770; P< 0.05). On the other hand, WRH was weakly correlated (r= 0.263, P< 0.05 for men; r= 0.092, P< 0.05 for women). Only waist circumference correlated with systolic pressure (r= 0.211, P< 0.05 for men; r= 0,224, P< 0.05 for women). ROC curve analysis demonstrated the superiority of waist circumference measurement compared to WHR regarding obesity and hypertension for men and women, and dyslipidemia for men. In conclusion, waist circumference is better correlated with cardiovascular risk factor than WRH.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Professor > Associate Professor 4 17%
Professor 4 17%
Other 3 13%
Student > Doctoral Student 2 9%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Medicine and Dentistry 7 30%
Nursing and Health Professions 4 17%
Biochemistry, Genetics and Molecular Biology 2 9%
Business, Management and Accounting 1 4%
Psychology 1 4%
Other 3 13%
Unknown 5 22%
Attention Score in Context

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 28 February 2018.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Archives of Endocrinology and Metabolism
#177
of 800 outputs
Outputs of similar age
#29,698
of 83,011 outputs
Outputs of similar age from Archives of Endocrinology and Metabolism
#5
of 10 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 800 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 69% 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 83,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.