Body Fat Equations and Electrical Bioimpedance Values in Prediction of Cardiovascular Risk Factors in Eutrophic and Overweight Adolescents

Table 6

Multiple linear regression coefficient (𝛽) and coefficient of determination (𝑅²) of the relationship between percentage of body fat, adjusted for sex, and biochemical and clinical parameters in overweight adolescents (G2) (Viçosa, Minas Gerais, Brazil (2010)).

		Eq (1)	Eq (2)	Eq (3)	Eq (4)	Eq (5)	Eq (6)	Eq (7)	Eq (8)	Eq (9)	Eq (10)	BIA1	BIA2
Fasting glucose (mg/dL)	𝛽	—	—	0.16	—	—	—	—	—	—	—	—	—
	𝑅^2			0.06
TC (mg/dL)	𝛽	0.004	−0.002	—	—	—	0.004*	—	0.004	0.007**	0.005	—	0.004**
	𝑅^2	0.12	0.09				0.14		0.11	0.18	0.12		0.17
HDL (mg/dL)	𝛽	−0.20	0.23	—	—	−0.12	0.06	−0.24	−0.34	0.09	−0.16	−0.02	—
	𝑅^2	0.15	0.15			0.15	0.14	0.15	0.16	0.15	0.15	0.14
LDL (mg/dL)	𝛽	1.17	−1.23	2.27	0.10	1.65*	1.03	1.72	—	1.86*	0.93	2.28*	—
	𝑅^2	0.05	0.04	0.12	0.13	0.08	0.06	0.07		0.09	0.05	0.12
TG (mg/dL)	𝛽	—	—	0.007**	0.007*	0.02**	—	—	—	0.02**	—	0.02*	—
	𝑅^2			0.11	0.08	0.12				0.11		0.13
Uric Acid (mg/dL)	𝛽	—	−0.007	—	—	—	0.08**	0.13**	—	—	0.12**	—	—
	𝑅^2		0.26				0.37	0.37			0.39
Insulin (𝜇U/dL)	𝛽	0.02**	—	0.006*	0.008**	0.02**	—	—	0.02**	0.02**	0.02**	0.02**	0.009*
	𝑅^2	0.11		0.09	0.13	0.14			0.13	0.13	0.17	0.17	0.07
HOMA-IR	𝛽	0.02**	—	0.006*	0.009**	0.02**	—	—	0.02**	0.02**	0.02**	—	0.009*
	𝑅^2	0.12		0.10	0.13	0.14			0.12	0.12	0.16		0.07
DBP (mmHg)	𝛽	0.05	—	—	—	0.11	−0.03	0.27	0.40	0.34	0.66*	0.28	0.31
	𝑅^2	0.11				0.11	0.11	0.12	0.15	0.14	0.19	0.13	0.15

Note. TC/HDL, LDL/HDL, and SBP did not meet the assumptions of linear regression. BIA1: tetra-polar horizontal electrical bioimpedance analysis; BIA2: tetra-polar vertical electrical bioimpedance analysis using 8-point tactile electrode; Eq: equation; TC: total cholesterol; TG: triglycerides; HDL: high-density lipoprotein; LDL: low-density lipoprotein; HOMA-IR: homeostasis model assessment-insulin resistance; DBP: diastolic blood pressure; 𝛽: coefficient of linear regression; 𝑅²: coefficient of determination; —: did not meet the assumptions of linear regression; *𝑃<0.05; **𝑃<0.001; ^‡𝑃<0,0001.