Figure 2.
Adjusted Means of Hemoglobin A1c, LDL Cholesterol, and Systolic Blood Pressure. Panel (A) Plots of predicted outcomes based on a non-linear model without covariates. Quadratic term p = 0.011; exponential × group term p = 0.001. Equation: Ŷ = 7.19−0.13*group+0.09*time-0.04*group*(time)2+ 1.47* e−time+ 1.28* group × e− time (Time was measured in months from baseline, but the graphic above shows annual points. To enhance readability, the plot symbols and error bars for the intervention group have been offset. Error bars represent 95% confidence intervals.). Panel (B) Plots of predicted outcomes based on a non-linear model without covariates. Exponential × group term p < 0.001. Equation: Ŷ = 100.23–8.21* group-2.63* time+ 2.14* group × time+ 35.76* group × e−time (Time was measured in months from baseline, but the graphic above shows annual points. To enhance readability, the plot symbols and error bars for the intervention group have been offset. Error bars represent 95% confidence intervals.). Panel (C) Plots of predicted outcomes based on a linear model without covariates. Systolic blood pressure: group × time term p = 0.024. Equation: Ŷ = 142.19–0.95* group − 0.34* time − 0.56* group × time. Diastolic blood pressure: group × time term p < 0.001. Equation: Ŷ = 70.76–0.04* group − 0.41* time − 0.43* group × time (Time was measured in months from baseline, but the graphic above shows annual points. To enhance readability, the plot symbols and error bars for the intervention group have been offset. Error bars represent 95% confidence intervals.).