. Author manuscript; available in PMC: 2017 Nov 4.

Published in final edited form as: Obes Surg. 2008 Oct 7;19(9):1240–1242. doi: 10.1007/s11695-008-9724-3

Table 1.

Hierarchical linear regressions: BMI at T1, T2 and T1–T2 as predictors of follow-up BMI (T3)

Presurgery BMI (T1; N=72)			Post-surgery BMI (T2; N=71)			BMI change (T1–T2; N=71)
Variable	ΔR²	β	Variable	ΔR²	β	Variable	ΔR²	β
Block 1	0.073		Block 1	0.075		Block 1	0.075
Sex		−0.091	Sex		−0.057	Sex		−0.067
Age		0.008	Age		0.076	Age		0.085
Ethnicity		−0.147	Ethnicity		−0.118	Ethnicity		−0.186
Education		−0.015	Education		−0.070	Education		−0.185
Age overweight		0.023	Age overweight		−0.045	Age overweight		−0.130
Block 2	0.090		Block 2	0.090		Block 2	0.090
BDI total		0.057	BDI total		0.000	BDI total		0.084
Binge eating		0.005	Binge eating		0.024	Binge eating		0.030
Block 3	0.351^***		Block 3	0.352^***		Block 3	0.352^***
Post-surgery weeks		−0.395^***	Post-surgery weeks		−0.119	Post-surgery weeks		−0.470^**
Block 4	0.696^***		Block 4	0.732^***		Block 4	0.360
T1 BMI		0.628^***	T1 BMI		0.628^***	T1–T2 BMI change		−0.119

R² amount of variance accounted for by each additional step in the hierarchical linear regression, β estimates for the final hierarchica l linear regression model generated are presented as an estimate of effect size

p<.05,

^**

p<.01,

^***

p<.001