. Author manuscript; available in PMC: 2013 Sep 1.

Published in final edited form as: Obesity (Silver Spring). 2011 Oct 27;20(9):1929–1935. doi: 10.1038/oby.2011.313

Table 3.

Multiple regression to determine the linear combinations of reported intakes of meat and fruit (independent variables) that best predicts body mass index and circumferences (dependent variables) in walkers who averaged <1.5 km/d.

	Slopes ±SE
	Meat (servings/day)	Fruit (pieces/day)
Females
BMI (kg/m²) ^¶	2.30±0.17^§	−0.35±0.07^§
Waist circumference (cm)	5.63±0.42^§	−0.84±0.16^§
Chest circumference (cm)	3.73±0.31^§	−0.38±0.12^‡
Hip circumference (cm)	5.44±0.41^§	−0.47±0.16^†
Males
BMI (kg/m²)	1.75±0.25^§	−0.34±0.09^‡
Waist circumference (cm)	3.77±0.65^§	−0.94±0.25^‡
Chest circumference (cm)	1.39±0.67^†	−0.45±0.26

Adjusted for age, education, and alcohol intake. Significance levels coded:

P<0.05,

^†

P<0.01,

^‡

P<0.001,

^§

P<0.0001

^¶

The values presented in the table are the effect of meat and fruit on BMI as obtained from the coefficients “β” and “δ” in the model: BMI= intercept+βmeat+δfruit+covariates.