Table 2.

Intervention Effects on Body Mass Index and Weight Change using OLS Regression with Robust Adjustment

	Model (1)			Model (2)			Model (3)			Model (4)
	coeff.	t-value	p-value	coeff.	t-value	p-value	coeff.	t-value	p-value	coeff.	t-value	p-value
Intervention	0.716	2.690	0.009	0.608	3.520	0.001	4.011	2.690	0.009	3.320	3.470	0.001
Age	−0.004	−0.430	0.668	−0.004	−0.670	0.508	−0.033	−0.630	0.534	−0.029	−0.870	0.388
Female	0.150	0.410	0.681	0.146	0.560	0.579	0.977	0.430	0.665	0.977	0.600	0.549
Depression	−0.527	−1.910	0.060	−0.223	−1.410	0.163	−2.994	−1.950	0.055	−1.147	−1.310	0.194
Death/Dropout	−0.926	−2.200	0.031	−0.447	−1.620	0.110	−5.506	−2.260	0.027	−2.771	−1.720	0.090
NH1	−0.525	−1.380	0.170	−0.320	−1.250	0.214	−2.883	−1.310	0.194	−1.941	−1.300	0.199
NH2	0.510	1.900	0.061	−0.015	−0.090	0.928	3.096	2.040	0.045	−0.048	−0.050	0.959
NH3	−0.057	−0.150	0.885	−0.246	−1.020	0.313	−0.223	−0.110	0.915	−1.400	−1.050	0.295
NH4	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-	-ref-
Constant	−0.014	−0.020	0.988	0.065	0.110	0.909	0.356	0.070	0.941	0.729	0.240	0.810
R-squared	0.111			0.113			0.122			0.120
N	124			124			124			124

Note:

• NH = Nursing Home site where NH4 is the reference group due to having the largest sample size.
• Model (1) final BMI change as dependent variable;
• Model (2) average BMI change as dependent variable;
• Model (3) final weight change as dependent variable;
• Model (4) average weight change as dependent variable.