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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Behav Med. 2020 Apr 10;47(3):194–204. doi: 10.1080/08964289.2020.1712581

Table 5.

Hierarchical regression model predicting HbA1c values.

Step Predictors β Coeff SE Std β Coeff t p R2 ΔR2
1 Constant 5.731 0.189 0.00 30.30 <0.001 0.137
Age 0.004 0.002 0.253 2.22 0.03
Sex 0.073 0.045 0.183 1.63 0.11
Minority 0.094 0.052 0.212 1.82 0.07
Education −0.005 0.011 −0.051 0.45 0.66
2 DD −0.006 0.011 −0.073 0.54 0.59 0.225 0.088
DD x Minority
F test for incremental variance: F(2) = 3.80, p = 0.027
3 BMI 0.003 0.003 0.154 1.28 0.42 0.244 0.019
F test for incremental variance: F(1) = 1.66, p = 0.202
4 HEI −0.002 0.002 −0.136 1.122 0.27 0.270 0.026
Physical Activity 0.008 0.007 0.149 1.218 0.228
F test for incremental variance: F(2) = 1.14, p = 0.326
5 Med Adherence 0.002 0.001 0.249 2.034 0.046 0.315 0.045
F test for incremental variance: F(1) = 4.14, p = 0.046

Note – HEI is Healthy Eating Index, Med Adherence is Medication Adherence, Coefficent represents the B coefficient, SE is the standard error of the B coefficient, Std B coefficent is the standardized beta coefficient, R2 is the amount of variance cumulative amount of variance accounted for in the model, and ΔR2 is the incremental amount of variance accounted for in the model.