•  
  •  
 

USING BODY MASS INDEX, BODY ROUNDNESS INDEX AND A-BODY SHAPE INDEX Z-SCORES IN ANTHROPOMETRIC PREDIABETES RISK ANALYSIS

Abstract

Type 2 Diabetes (T2D) is mostly diagnosed in people over the age of 45, but younger ages are also at risk. Diagnosis of T2D is confirmed by taking an A1C test, measuring Fasting Plasma Glucose (FPG), Non-fasting Blood Glucose (NFBG) and/or the Oral Glucose Tolerance Test (OGTT). Difficulty exists in diagnosing diabetes in those underage and therefore an anthropometric study in relation to T2D risk was conducted in collegiate students at Brewton-Parker College, to help address this challenge. Height (H), weight (W), waist circumference (WC), hip circumference (HC), waist to hip ratio (WHtR), Sagittal Abdominal Diameter (SAD), Blood Pressure (BP) and Non-fasting Blood Glucose (NFBG) data were collected from 100 students (57 females and 44 males) ages 17-32 years. In addition, the Body Roundness Index (BRI), the A-Body Shape Index (ABSI), and Body Mass Index (BMI) were calculated. Students completed the Prediabetes Risk Test (PDRT) developed by the American Diabetes Association (ADA) and the Centers for Disease Control and Prevention (CDC). The purpose of the study was to investigate whether traditional BMI measurements align with PDRT scores and to consider whether BRI or ABSI z- scores are better tools for predicting Prediabetes (PD) Risk than using BMI, WC or WHtR alone. Results: Twelve students scored ≧3 (10 males and 2 females) on the PDRT, indicative of elevated T2D risk. Of these, 75% had elevated BP and 17% had elevated NFBG levels. Of the 12 students, using the World Health Organization BMI categories: 8.3% normal (BMI 18.5-24.9), 41.6% overweight (BMI 25.0-29.9), 16.6% obese class I (BMI 30.0-34.9), and 33.3% obese class II (BMI 35.0-39.9), 0% in obese class III (BMI ≧40). For BRI, 30% were inside the healthy zone and 70% were outside the healthy zone. Females: 22.8% outside and 77.2% inside. Males: 51.2% outside and 48.8% inside. For ABSI-z scores the majority showed very low risk. For BRI, 2 of the 3 healthy zone participants had healthy BP and only 2 participants’ ABSI-z scores (average risk) aligned with BRI and BMI. The PDRT scores aligned with BRI and BP for 9 participants and aligned with BMI for 11. Only 1 student with a high PDRT score did not align with any of the anthropometric measurements. For NFBG: male average 102.37 mg/dL SD 63.27 (CV 61.8%); female average 92.84 mg/dL SD 18.37 (CV 19.8%). A coefficient of variation (CV) of 33% or lower is considered a marker of “stable” glucose levels, aiming for an SD that is less than one third of the mean glucose. Paired t-test result: (t = 0.28 > p = 0.05) showed significant difference between sexes. In conclusion, BMI should not be used by itself as a PD risk indicator. Rather, in order to determine risk more accurately, it is recommended to also use the BRI and ABSI z-scores and study larger sample sizes.

This document is currently not available here.

Share

COinS