Next Article in Journal
A New Extended Birnbaum–Saunders Model: Properties, Regression and Applications
Previous Article in Journal
On Moments of Gamma—Exponentiated Functional Distribution
Article Menu

Export Article

Open AccessArticle
Stats 2018, 1(1), 21-31; https://doi.org/10.3390/stats1010003

Probability and Body Composition of Metabolic Syndrome in Young Adults: Use of the Bayes Theorem as Diagnostic Evidence of the Waist-to-Height Ratio

Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Los Volcanes, Puebla 72420, Mexico
*
Author to whom correspondence should be addressed.
Received: 17 April 2018 / Revised: 8 May 2018 / Accepted: 15 May 2018 / Published: 16 May 2018
Full-Text   |   PDF [2508 KB, uploaded 20 July 2018]   |  

Abstract

Metabolic syndrome (MS) directly increases the risk of cardiovascular diseases. Childhood and adulthood have been the most studied in MS, leaving aside the young adult population. This study aimed to compare the epidemiological probabilities between MS and different anthropometric parameters of body composition. Using a cross-sectional study with the sample of 1351 young adults, different body composition parameters were obtained such as Waist Circumference (WC), Body Mass Index (BMI), Body Fat% (BF%), Waist-to-Height Ratio (WHtR), and Waist-Hip Ratio. The Bayes Theorem was applied to estimate the conditional probability that any subject developed MS with an altered anthropometric parameter of body composition. Areas under receiver operating characteristic curves (AUCs) and adjusted odds ratios of the five parameters were analyzed in their optimal cutoffs. The conditional probability of developing MS with an altered anthropometric parameter was 17% in WHtR, WC, and Waist-hip R. Furthermore, body composition parameters were adjusted by age, BMI, and gender. Only WHtR (OR = 9.43, CI = 3.4–26.13, p < 0.0001), and BF% (OR = 3.18, CI = 1.42–7.13, p = 0.005) were significant, and the sensitivity (84%) and the AUCs (86%) was higher in WHtR than other parameters. In young adults, the WHtR was the best predictor of metabolic syndrome. View Full-Text
Keywords: metabolic syndrome; waist to height ratio; young adults; Bayes theorem metabolic syndrome; waist to height ratio; young adults; Bayes theorem
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kammar, A.; Hernández-Hernández, M.E.; López-Moreno, P.; Ortíz-Bueno, A.M.; Martínez-Montaño, M.L.C. Probability and Body Composition of Metabolic Syndrome in Young Adults: Use of the Bayes Theorem as Diagnostic Evidence of the Waist-to-Height Ratio. Stats 2018, 1, 21-31.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Stats EISSN 2571-905X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top