Table 4. Multiple Linear Regression Analysis of Convenience 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
Convenience stores	.02	.04	.09	.01	.05	.01
Age	‒.07	.02	‒.07	.02	‒.07	.02
Racea	‒.12	.46	‒.10	.45	‒.11	.45
Genderb	‒.10	.39	‒.10	.38	‒.10	.39
Pre-transplant diabetesc	‒.01	.44	‒.01	.44	‒.01	.44
Intercept	.02***	.44	.09**	.47	.05***	.48
R2	.03		.04*		.04

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

^a0 = white and 1 = Black.

^b0 = male and 1 = female.

^c0 = no and 1 = yes.

^*p< .05.

^**p< .01.

^***p< .001.