Table 3.

Table of regression coefficients from a multivariate linear regression model for LV mass-to-volume ratio.

Covariate	Model Parameters
	β	P value
Age	0.0424	<0.0001
Male gender	0.105	<0.0001
Hypertension	0.0623	<0.0001
Smoking
Past	0.00822	0.25
Current	0.0705	<0.0001
Triglyceride level	0.00455	0.21
High-density lipoprotein level	−0.00505	0.21
Race*
Chinese	−0.00730	0.50
African-American	0.0724	<0.0001
Hispanic	0.000888	0.92
BMI	0.00581	0.24
HOMA-IR	0.0198	<0.0001
BMI × HOMA-IR (interaction)	0.00119	0.77
whr	0.0258	<0.0001
BMI × WHR (interaction)	0.00956	0.008
Presence of IFG	0.0207	0.04
BMI × IFG (interaction)	0.0161	0.13

Model was constructed with body mass index, age, male gender, history of hypertension, triglycerides, HDL, race, BMI, HOMA-IR, WHR, IFG, and interactions between insulin resistance and visceral adiposity with BMI as predictors. Continuous variables (age, triglycerides, HDL and BMI) were centered and standardized for inclusion as predictors.

^*Caucasian race was the reference category. Abbreviations: BMI = body mass index; WHR = waist-to-hip ratio; HOMA-IR = homeostatic model assessment of insulin resistance; IFG = impaired fasting glucose. The R² for this multivariable model is 0.22.