TABLE 3.

Regression analyses for dietary components explaining variability in risk factors for metabolic syndrome¹

	Waist circumference		Systolic blood pressure		Diastolic blood pressure		Glucose		HDL		TG
	β	ΔR2	β	ΔR2	β	ΔR2	β	ΔR2	β	ΔR2	β	ΔR2
Step 1		0.68*		0.18*		0.17*		0.08		0.11*		0.22*
Age	0.01		0.07		0.06		−0.02		−0.02		0.12
Sex	−0.03		0.28*		0.04		0.14		−0.18*		0.11
Visceral adipose tissue	0.80*		0.24*		0.29*		0.01		0.30		0.41*
Added sugars	0.04		0.10		0.15		0.08		−0.06		−0.07
SFA, %	0.06		0.00		−0.09		−0.23		−0.05		0.05
PUFA, %	0.06		0.07		0.05		−0.03		0.04		−0.05
MUFA, %	−0.07		−0.19		−0.06		−0.23		−0.05		0.02
Step 2		0.00		0.00		0.01		0.01		0.00		0.03*
Insoluble fiber	−0.03		−0.03		−0.11		−0.13		−0.08		−0.17†
Step 2		0.01		0.01		0.00		0.01		0.01		0.04*
Soluble fiber	0.08		0.12		−0.01		−0.11		0.03		−0.23*
Step 2		0.00		0.00		0.01		0.02		0.00		0.03*
Total fiber	0.06		0.01		−0.09		−0.15		−0.04		−0.21*

¹Linear regression analyses were used to determine β and R² estimates for metabolic syndrome risk factors and dietary factors at significance levels of ^*P < 0.05 and ^†P < 0.1. Females were assigned the reference group in the analysis.