Table 5. Multiple Linear Regression Analysis of Grocery Store Availability within 1, 2, and 3 Miles of Residential Addresses as a Predictor of Change in BMI During the First Year After Renal Transplant (N=297).

	1-Mile Buffer		2-Mile Buffer		3-Mile Buffer
	β	SE	β	SE	β	SE
Grocery stores	.13*	.07	.10	.02	.08	.01
Age	‒.08	.02	‒.08	.02	‒.08	.02
Racea	‒.09	.44	‒.10	.44	‒.11	.44
Genderb	‒.09	.38	‒.10	.38	‒.10	.38
Pre-transplant diabetesc	‒.01	.43	‒.01	.43	‒.01	.44
Intercept	.13***	.38	.10***	.40	.08***	.41
R2	.05*		.04*		.04*

Notes. SE, Standard error. Age is age at time of transplant.

^a0 = white 1 = Black.

^b0 = male and 1 = female.

^c0 = no and 1 = yes.

^*p<.05.

^**p<.001.