Statistical analysis
depressive
INSULIN RESISTANCE
Linear mixed models (LMM) was used to compare groups at 12 month and 15 month time points on all main outcomes (HbA1c, insulin resistance, depressive symptoms) and other variables of interest (cortisol, hsCRP, waist circumference, BMI, systolic & diastolic BP, LDL, HDL, cholesterol, triglycerides). Fixed effects included group, time point, and the interaction between group and time point. To account for the correlation in the outcome values across time points the covariance was modeled using AR(1) with heterogenous variance and also a random intercept that varied by patient. Linear contrasts comparing the control group to the EWS and the EWS + MTM groups was performed on the change from baseline values at each time point. As a measure of effect size the test statistic from the linear contrast along with the degrees of freedom was used to calculate Cohen’s d