Table 2.

Change in treatment coefficient and significance of treatment effect on lipid and lipoprotein parameters after addition of individual predictors

Outcome variable with predictors added	Treatment effect coefficient (se)	P for treatment effect
HDL cholesterol
Baseline model	0.049 (0.008)	<0.0001
Δ Adiponectin	0.021 (0.012)	0.09
Δ HMW adiponectin	0.018 (0.013)	0.2
Δ BMI	0.047 (0.008)	<0.0001
Δ HbA1c	0.048 (0.008)	<0.0001
Δ Insulin	0.044 (0.009)	<0.0001
Triglyceride
Baseline model	−0.06 (0.02)	0.004
Δ Adiponectin	0.004 (0.03)	0.9
Δ HMW adiponectin	0.022 (0.04)	0.5
Δ BMI	−0.07 (0.02)	0.001
Δ HbA1c	−0.05 (0.02)	0.02
Δ Insulin	−0.05 (0.02)	0.04
VLDL size
Baseline model	−0.043 (0.008)	<0.0001
Δ Adiponectin	−0.036 (0.011)	0.002
Δ HMW adiponectin	−0.032 (0.013)	0.01
Δ BMI	−0.045 (0.008)	<0.0001
Δ HbA1c	−0.042 (0.008)	<0.0001
Δ Insulin	−0.036 (0.008)	<0.0001
LDL size
Baseline model	0.008 (0.001)	<0.0001
Δ Adiponectin	0.0004 (0.002)	0.8
Δ HMW adiponectin	0.0003 (0.003)	0.9
Δ BMI	0.009 (0.002)	<0.0001
Δ HbA1c	0.008 (0.002)	<0.0001
Δ Insulin	0.008 (0.002)	<0.0001
HDL size
Baseline model	0.008 (0.002)	<0.0001
Δ Adiponectin	0.001 (0.002)	0.6
Δ HMW adiponectin	0.0003 (0.003)	0.9
Δ BMI	0.008 (0.002)	<0.0001
Δ HbA1c	0.008 (0.002)	<0.0001
Δ Insulin	0.006 (0.002)	<0.0001

The Δ log values (log₁₀ 72-wk minus log₁₀ baseline values) were used for insulin and total and HMW adiponectin. The base model included baseline value of the variable, site, and treatment group. P values in bold indicate where addition of the individual predictor to the model leads to loss of the treatment effect.