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

Ashuin Kammar, María Elena Hernández-Hernández, Patricia López-Moreno, Angélica María Ortíz-Bueno and María De Lurdez Consuelo Martínez-Montaño
Additional contact information
Ashuin Kammar: Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Los Volcanes, Puebla 72420, Mexico
María Elena Hernández-Hernández: Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Los Volcanes, Puebla 72420, Mexico
Patricia López-Moreno: Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Los Volcanes, Puebla 72420, Mexico
Angélica María Ortíz-Bueno: Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Los Volcanes, Puebla 72420, Mexico
María De Lurdez Consuelo Martínez-Montaño: Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Los Volcanes, Puebla 72420, Mexico

Stats, 2018, vol. 1, issue 1, 1-11

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.

Keywords: metabolic syndrome; waist to height ratio; young adults; Bayes theorem (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2571-905X/1/1/3/pdf (application/pdf)
https://www.mdpi.com/2571-905X/1/1/3/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jstats:v:1:y:2018:i:1:p:3-31:d:146677

Access Statistics for this article

Stats is currently edited by Mrs. Minnie Li

More articles in Stats from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().