Comparative Abilities of Body Mass Index, Waist Circumference, Abdominal Volume Index, Body Adiposity Index, and Conicity Index as Predictive Screening Tools for Metabolic Syndrome among Apparently Healthy Ghanaian Adults

Table 2

Linear regression analysis selected anthropometric parameters and indicators of cardiometabolic risk.

Variable	CI		AVI		BAI		WC		BMI
	β	r^2	β	r^2	β	r^2	β	r^2	β	r^2
SBP (mmHg)	−0.57	0.00	−0.05	0.00	0.55	0.06	0.08	0.01	0.51	0.03
DBP (mmHg)	11.45	0.02	0.23	0.02	0.40	0.05	0.16	0.04	0.38	0.02
FBG (mmol/L)	0.25	0.00	0.01	0.00	0.00	0.00	0.01	0.02	0.03	0.03
Total cholesterol (mmol/L)	1.95	0.05	0.06	0.08	0.04	0.04	0.03	0.10	0.09	0.11
Triglyceride (mmol/L)	0.76	0.02	0.02	0.04	−0.01	0.01	0.01	0.05	0.03	0.04
HDL-c (mmol/L)	0.80	0.02	0.02	0.01	0.02	0.03	0.01	0.02	0.03	0.03
LDL-c (mmol/L)	0.80	0.03	0.03	0.06	0.02	0.04	0.01	0.07	0.04	0.07
VLDL-c (mmol/L)	0.35	0.02	0.01	0.04	−0.01	0.01	0.01	0.05	0.01	0.04
MetS score	1.95	0.08	0.07	0.15	0.06	0.11	0.04	0.23	0.12	0.29

Regression is significant at the 0.05 level. Regression is significant at the 0.01 level. Regression is significant at the 0.001 level.