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Título : Anthropometric measurements for assessing insulin sensitivity on patients with metabolic syndrome, sedentaries and marathoners
Autor: Wong De Balzan, Sara
Nombre de Revista: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2015
Fecha de publicación : 25-ago-2015
Fecha de fin de embargo: 1-ene-2022
Volumen: 2015-November
Fuente: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
metadata.dc.identifier.doi: 10.1109/EMBC.2015.7319376
Editor: INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
Ciudad: 
Milan
Tipo: Article
Abstract: 
The diagnosis of low insulin sensitivity is commonly done through the HOMA-IR index, in which fasting insulin and glucose blood levels are evaluated. Insulin and blood glucose levels are used for insulin sensitivity assessment by surrogate methods (HOMA-IR, Matsuda, etc), but anthropometric measurements like body weight, height and waist circumference are not considered, even if these variables also are related to low insulin sensitivity and metabolic syndrome. In this study we evaluate the impact of anthropometric measurements on the HOMA-IR, Matsuda and Caumo indexes to estimate insulin sensitivity. Specifically, we compare insulin sensitivity indexes with and without the anthropometric measurements in their equations on three different groups: patients with metabolic syndrome, sedentaries and marathoners. Results show relationships between anthropometric variables and insulin sensitivity indexes. On the other hand, subjects are mapped differently for insulin sensitivity assessment when anthropometric variables are taken into account. In addition, subjects diagnosed with normal insulin sensitivity could be considered as having low insulin sensitivity when anthropometric variables are considered.
URI : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953226263&doi=10.1109%2fEMBC.2015.7319376&partnerID=40&md5=b819404407efdead613046a59e9548b7
http://dspace.ucuenca.edu.ec/handle/123456789/29233
ISBN : 9781424492718
ISSN : 1557170X
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