Novel Anthropometric Indices as Screening Tools for Obesity: A Study on Healthy Iranians

Table 3

Multivariate regression analysis for the prediction of BMI using anthropometric and demographic variables.

Variable	Model 1			Model 2
	Beta (95% CI)	value	Adjusted R^2	Beta (95% CI)	value	Adjusted R^2
Gender	—			0.13 (0.007–0.24)	0.039	0.915
TG	—			0.01 (0–0.002)	0.001
NC	−0.48 (−0.77–0.18)	0.001	0.913	−0.45 (−0.78–−0.11)	0.010
WC	−0.08 (−0.21–0.04)	0.205		−0.09 (−0.24–0.06)	0.237
HC	0.30 (0.29–0.31)	<0.001		0.30 (0.29–0.31)	<0.001
NHtR	2.68 (1.66–7.70)	<0.001		3.20 (2.69–4.70)	<0.001
WHtR	3.85 (−14.73–22.44)	0.684		6.13 (−15.43–27.70)	0.577
AVI	0.53 (0.40–0.65)	<0.001		0.49 (0.35–0.63)	<0.001

Model 1 is a regression model including just anthropometric indicators (TG, NC, WC, HC, NHtR, WHtR, and AVI); model 2 adds TG and gender to the predictors of model 1. AVI, abdominal volume index; BMI, body mass index; HC, hip circumference; NC, neck circumference; NHtR, neck-to-height ratio; TG, triglycerides; WC, waist circumference; WHtR, waist-to-hip ratio.