Table 2.

Regression Models Predicting Cardiovascular Disease Risk Factors with Pedometer Counts

Model	β	B	SE	p	R2
BMI (kg/m2)	−.31	−.51	.13	<0.001	.20
Percent body fat (%)	−.22	−.65	.17	<0.001	.54
Waist circumference (cm)	−.29	−1.16	.32	<0.001	.20
HDL (mg/dL)d	.13	.61	.34	.13	.16
LDL (mg/dL)d	.09	.69	.76	.23	.25
T-cholesterol (mg/dL)d	.06	.58	.85	.51	.42
Triglyceride (mg/dL)d,e	−.19	−.02	.01	.03	.09
Glucose (mg/dL)	−.17	−.50	.24	.04	.19
Systolic blood pressure (mmHg)b	−.07	−.35	.32	.10	.16
Diastolic blood pressure (mmHg)b	.12	−.35	.24	.15	.10

Note: β = standardized coefficient; B = unstandardized coefficient, SE = standard error;

^an = 174, except where otherwise noted

^bEach model includes: age, sex, smoking status, energy intake

^cVariables are expressed per 1000 pedometer steps

^dn= 175

^eVariable was log transformed because of non-normality