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Agreement in cardiovascular risk rating based on anthropometric parameters

Overview of attention for article published in Einstein (São Paulo), January 2015
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Title
Agreement in cardiovascular risk rating based on anthropometric parameters
Published in
Einstein (São Paulo), January 2015
DOI 10.1590/s1679-45082015ao3349
Pubmed ID
Authors

Endilly Maria da Silva Dantas, Cristiane Jordânia Pinto, Rodrigo Pegado de Abreu Freitas, Anna Cecília Queiroz de Medeiros

Abstract

Objective To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults.Methods The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index. The kappa coefficient was used to assess agreement in risk classification for cardiovascular diseases. The positive and negative specific agreement values were calculated as well. The Pearson chi-square (χ2) test was used to assess associations between categorical variables (p<0.05).Results The majority of the parameters assessed (44%) showed slight (k=0.21 to 0.40) and/or poor agreement (k<0.20), with low values of negative specific agreement. The best agreement was observed between waist circumference and waist-to-height ratio both for the general population (k=0.88) and between sexes (k=0.93 to 0.86). There was a significant association (p<0.001) between the risk of cardiovascular diseases and females when using waist circumference and conicity index, and with males when using neck circumference. This resulted in a wide variation in the prevalence of cardiovascular disease risk (5.5%-36.5%), depending on the parameter and the sex that was assessed.Conclusion The results indicate variability in agreement in assessing risk for cardiovascular diseases, based on anthropometric parameters, and which also seems to be influenced by sex. Further studies in the Brazilian population are required to better understand this issue.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 20%
Student > Master 8 17%
Student > Postgraduate 5 11%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 7 15%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Nursing and Health Professions 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Agricultural and Biological Sciences 2 4%
Philosophy 1 2%
Other 8 17%
Unknown 15 33%