. 2012 Sep 25;12:823. doi: 10.1186/1471-2458-12-823

Table 7.

Multiple linear regression showing the effects of selected variables on body mass index, percent body fat and waist circumference of women using the stepwise method

	BMI		% Body fat		Waist circumference
Predictor variables	β	P	β	P	β	P
Age	0.177	0.008^a	0.378	<0.001 ^a	0.237	<0.001 ^a
% DRI fat	−0.122	0.024 ^a	−0.021	0.689	−0.040	0.447
Total PA	0.115	0.026 ^a	0.093	0.071	0.075	0.132
Parity	0.209	0.002^a	0.081	0.211	0.237	<0.001 ^a
SE group	0.144	0.015 ^a	0.004	0.966	−0.036	0.660
No. of assets	0.055	0.534	0.139	0.007**	0.007 ^a	0.922
No. rooms	0.031	0.710	0.032	0.666	0.125	0.022 ^a
R²

BMI = body mass index; WC = waist circumference; SE = socio-economic; DRI = Dietary Reference Intakes; TPA = total physical activity; ^a Significant predictors of BMI,% body fat, and waist circumference; β Standardised beta coefficient gives a measure of the contribution of each variable to the model.