Skip to main content
. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Diabetes Educ. 2019 Feb 12;45(2):146–154. doi: 10.1177/0145721719829068

Table 3:

Multiple Linear Regression Analysis Summary to Predict Elevated A1C Levels Controlling for Activity Level, Race, Education, and Financial Difficulty

Final Model* b SE(b) Beta P-value

Age −0.03 0.01 −0.20 .002
Diabetes Duration −0.94 0.23 −0.26 <.001
PAID 0.02 0.01 0.20 .001
Steps 0.00 0.00 0.11 0.08
Smoking Status 0.64 0.28 0.13 0.03

Note: The dependent variable was A1C; P <.001; F (5,253) = 10.77; age = continuous variable; diabetes duration = dichotomous variable, 0 = ≥10 years or 1 = <10 years; PAID = diabetes distress, continuous variable; steps = number of steps per day, continuous variable; smoking status = dichotomous variable, 0= never/former smoker or 1 = current smoker.

*

Backward-selection method was used; variables with P >.10 removed from models

Model 1: age, education, race, financial difficulty, diabetes duration, PAID, steps, and smoking status.

Model 2: Model 1 (-) financial difficulty.

Model 3: Model 2 (-) education.

Final Model: Model 3 (-) race. (Final Model includes age, diabetes duration, PAID, steps, and smoking status)