Table 4.

Predicting HbA_1C with the ARMS-D and SDSCA-MS.

		Unadjusted Models				Adjusted Modelsa
					% variance
	# of				explained				Incremental	% increase
Measures	items	b	β	p	(R2)	b	β	p	R2†	in R2††
ARMS-D total	11	0.10	0.23	0.001	5.5	0.07	0.16	0.005	2.4**	12.5
ARMS-D medication taking	7	0.13	0.21	0.002	4.2	0.09	0.14	0.017	1.9**	9.9
ARMS-D refill	4	0.21	0.21	0.001	4.4	0.14	0.14	0.009	1.9**	9.9
SDSCA-MS	2	−0.17	−0.14	0.024	2.1	−0.15	−0.12	0.030	1.5*	7.8
SDSCA-MS	1	−0.18	−0.15	0.027	2.1	−0.15	−0.11	0.045	1.4*	7.3

ARMS-D=Adherence to Refills and Medication Schedules for Diabetes, b=unstandardized regression coefficients, β=standardized regression coefficients, HbA_1C=point-of-care hemoglobin A_1C, p=probability value, SDSCA-MS=Summary of Diabetes Self-Care Activities medications subscale.

^aCovariates: age, race, diabetes duration, and insulin status; covariates only R² = 19.2

^***p<0.001,

^**p<0.01,

^*p<0.05.

^†Unique contribution of the adherence measure to variance explained in an adjusted model.

^††Percent increase in the variance explained by the addition of the adherence measure to the covariates only; [(incremental R²) / (covariates only R²)].