Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes.
Ontology highlight
ABSTRACT: OBJECTIVES:To compare different anthropometric indices, Body composition analysis and lipid profile markers in terms of their ability to predict prediabetes (PD). METHODS:We enrolled 83 subjects with PD and 84 normoglycemic subjects who were matched for age and gender. The diagnosis of prediabetes was done according to the American Diabetes Association (ADA) criteria. All subjects were aged between 30-55 years of age and visited the outpatient department of tertiary care hospital. Anthropometric and lipid profile measurements were obtained. Analysis of body composition was done using Bodystat 1500MDD Instrument. Backward logistic regression was performed for detecting the predictors of PD. A receiver operator characteristic curve (ROC) with area under curve (AUC) was utilized for the accur
SUBMITTER: Nayak VKR
PROVIDER: S-EPMC6095495 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
ACCESS DATA