Anthropometric indicators as predictors of the risk of metabolic syndrome in adult working men

Janusz Brudecki; Maria Chrzanowska

doi:10.1515/anre-2015-0005

Authors

Janusz Brudecki Faculty of Physical Education and Sport, Department of Anthropology, University of Physical Education in Kraków Al. Jana Pawła II 78, 31-571 Kraków
Maria Chrzanowska Faculty of Physical Education and Sport, Department of Anthropology, University of Physical Education in Kraków

DOI:

https://doi.org/10.1515/anre-2015-0005

Keywords:

metabolic syndrome, BMI, WHR, cholesterol, blood pressure, men

Abstract

Measurement of body weight, height, waist and hip circumference is a standard procedure that allows to better define the risk of metabolic syndrome. The aim of the study is to determine the usefulness of anthropometric indicators such as BMI, WC (waist circumference), WHR, WHtR and percentage of body fat to predict the metabolic cardiovascular risk in the adult male population of Krakow, as well as an attempt to determine the metabolic cardiovascular risk with the original anthropometric risk index. The study included 405 men from the population working in the T. Sendzimir Steelworks in Kraków at the age of 30–69 years. Anthropometric measurements: body height measured to the nearest mm, circuits (waist, hips) measured to the nearest centimetre, the percentage of fat (the type of electronic scales Tanita BF 300) measured according to the standard protocol by the same technician and biomedical indicators assessing the functional status of organism, total cholesterol, HDL, LDL, triglycerides, glucose and blood pressure measured with a mercury manometer. As a measure of goodness of fit for the indices of risk (and their components), the AUC method was used for the ROC curves to evaluate the sensitivity and specificity of the diagnostic test. The results show that significant in predicting the risk of metabolic syndrome are not only standard anthropometric measurements specified in the standards of WHO, EGIR, NCEP and IDF. In addition, it is important to take into account the amount of fat and calculate the cumulative risk index based on all relevant measurements and indicators.

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