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BMC Complementary Medicine and Therapies
Published in: BMC Complementary Medicine and Therapies 1/2016

Open Access 01-12-2016 | Research article

Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglycerides

Authors: Bum Ju Lee, Jiho Nam, Jong Yeol Kim

Published in: BMC Complementary Medicine and Therapies | Issue 1/2016

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Abstract

Background

The hypertriglyceridemic waist (HW) phenotype has been shown to be strongly associated with metabolic abnormalities; however, to date, no study has reported the prediction of metabolic abnormalities using the HW phenotype along with waist circumference (WC) and the triglyceride (TG) level or various phenotypes consisting of an individual anthropometric index combined with the TG level. The objectives of this study were to assess the association of the HW phenotype with metabolic abnormalities in Korean women and to evaluate the predictive powers of various phenotypes with regard to metabolic abnormalities.

Methods

Total cholesterol (TC), high- and low-density lipoprotein (HDL and LDL) cholesterol, and TG levels, systolic and diastolic blood pressures (SBP and DBP), and anthropometric indices were measured in 7661 women. The Naive Bayes algorithm and logistic regression were used to determine the predictive powers of the models using different phenotypes.

Results

The HW phenotype demonstrated the strongest association with all metabolic components. The best phenotypic predictors were the forehead-to-rib circumference ratio + TG for the HDL level, age + TG for the LDL level, age + TG for SBP, and rib circumference + TG and neck circumference + TG for DBP. The associations between TG and TC or HDL were higher compared with those between WC and TC or HDL, whereas the associations between WC and SBP or DBP were higher compared with those between TG and SBP or DBP. Age was strongly associated with hypercholesterolemia, the HDL and LDL cholesterol levels, and SBP and had good predictive power, but not with respect to DBP.

Conclusions

We have determined that the HW phenotype is a useful indicator of metabolic abnormalities in Korean women; although HW had the strongest association with metabolic abnormalities, the best phenotype combination consisting of a single anthropometric index and the TG level may differ depending on the metabolic factors in question. Our findings provide insights into the detection of metabolic abnormalities in complementary and alternative medicine.
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Metadata
Title
Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglycerides
Authors
Bum Ju Lee
Jiho Nam
Jong Yeol Kim
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Complementary Medicine and Therapies / Issue 1/2016
Electronic ISSN: 2662-7671
DOI
https://doi.org/10.1186/s12906-016-1024-1

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