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. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: J Behav Med. 2016 Apr 9;39(4):633–641. doi: 10.1007/s10865-016-9741-y

Table 4.

Hierarchical multiple regression models presenting the unique contribution of the MIAS on HbA1C.

ARMS-D SDSCA-MS SDSCA-IS

Predictors Step 1 ARMS-D Step 2 MIAS Step 3 a priori covariates Step 1 SDSCA-MS Step 2 MIAS Step 3 a priori covariates Step 1 SDSCA-IS Step 2 MIAS Step 3 a priori covariates
Step 1 ΔR2 .09*** .03 .02
Adherence Measure β −.30*** −.21* −.09 −.16* −.05 −.10 −.15 −.07 −.11
Step 2 ΔR2 .01 .05** .05**
MIAS β −.13 −.20 −.25** −.22** −.25** −.22**
Step 3 ΔR2 .13** .16** .16**
Age β −.27** −.30*** −.29***
Gender β −.002 −.02 −.02
Race β .19* .20* .20**
Education β .04 −.06 −.07
Income β .005 .02 .02
Insurance (1=Public) β −.09 −.09 −.08
Insurance (1=Private) β .06 .07 .07
Duration of diagnosed DM β .14 .15 .15
BMI β −.14 −.16 −.17*
 Total R2 .09 .10 .23 .03 .08 .23 .02 .08 .23

Notes. MIAS=Morisky Insulin Adherence Scale, HbA1C=hemoglobin A1C, ARMS-D=Adherence to Refills and Medications Scale for Diabetes, SDSCA-MS=Summary of Diabetes Self-Care Activities medications subscale, SDSCA-IS=Summary of Diabetes Self-Care Activities insulin score, β =standardized regression coefficients, HbA1C=hemoglobin A1C, p=probability value,

p<0.09,

*

p<0.05,

**

p<0.01,

***

p<0.001