Table 4.

General linear regression model predicting weight loss at post-intervention

Variable	Estimate	Standard error	t value	Pr > |t|
Intercept	0.8607	1.210	0.71	0.478
Worksite
Academic vs. SS	−0.541	0.562	−0.96	0.338
HC vs. SS	−0.760	0.524	−1.45	0.149
NHHCS vs.SS	−1.425	0.598	−2.38	0.019
External vs. internal facilitator	0.317	0.412	0.77	0.443
Hawaiian vs. other	−0.014	0.433	−0.03	0.975
Female vs. male	0.099	0.674	0.15	0.883
Less than college vs. ≥college	0.294	0.412	0.71	0.477
Baseline weight	−0.018	0.009	−1.95	0.053
Change in diastolic blood pressure (mmHg)	0.086	0.024	3.63	<0.001
Change in physical activity frequency Score	0.577	0.167	3.46	<0.001
Change in community support	−0.151	0.070	−2.15	0.033
Change in locus of weight control	−0.228	0.099	−2.29	0.023

For overall model fitting, R ² = 0.265, F(_12,144) = 4.36, p < 0.0001

Baseline weight variables were first transformed by grand mean centering before entering the general linear regression model. Pairwise comparisons were adjusted for Tukey procedure.