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. 2014 Sep 10;37(10):2822–2829. doi: 10.2337/dc14-0762

Table 3.

Modeling results: GLM estimated change at Y4 in lumbar spine and total hip BMD regression coefficients for predictor variables

By arm
mean (SE)
Predictor variable
Response variable DSE ILI Change in fitness (METs)
β (SE) Change in weight (kg)
β (SE) Change in HbA1c (%)
β (SE) Y1 change in outcome
β (SE)
Men
 L/S BMD % change/year baseline–Y4 0.96 (0.19) 0.98 (0.19) 0.005 (0.04) −0.02 (0.007) 0.09 (0.05) 15.4 (1.4)
  P value 0.835 0.884 0.005 0.042 <0.001
 Total hip BMD % change/year baseline–Y4 −0.53 (0.16) −0.53 (0.16) −0.02 (0.03) 0.03 (0.006) 0.01 (0.04) 15.4 (1.4)
  P value 0.931 0.475 <0.001 0.738 <0.001
Women
 L/S BMD % change/year baseline–Y4 −0.65 (0.20) −0.68 (0.19) -0.04 (0.04) −0.008 (0.007) 0.05 (0.03) 16.5 (1.3)
  P value 0.759 0.426 0.254 0.087 <0.001
 Total hip BMD % change/year baseline–Y4 −1.27 (0.19) −1.01 (0.18) −0.02 (0.04) 0.05 (0.006) 0.09 (0.03) 16.7 (1.4)
  P value 0.005 0.595 <0.001 0.005 <0.001

Dependent variables were L/S and hip BMD. Independent variables were intervention arm (DSE vs. ILI). Predictor variables were change in fitness (METs), weight change, change in HbA1c, Y1 change in outcome. Also adjusted for were the following covariates: TZD and insulin use at baseline, age, ethnicity, study center (%), menstrual status (for female models only), duration of diabetes, baseline BMI, proteinuria (%), smoking status, baseline fitness, baseline A1C, and baseline level of outcome measure. L/S, lumbar spine.