Table 3. Association between individual characteristic variables and adherence to mammography screening recommendations over the six-year period.

		Partial adherence vs. non-adherence			Full adherence vs. non-adherence
Variable		OR	95%CI	P	OR	95%CI	P-value
Age		0.965	0.959–0971	<0.001	0.967	0.961–0.973	<0.001
BMI	Underweight	0.862	0.567–1.310	0.486	0.493	0.305–0.794	0.004
	Normal	1			1
	Overweight	1.112	0.986–1.255	0.85	1.156	1.021–1.309	0.022
	Obese	0.934	0.830–1.052	0.261	0.773	0.684–0.875	<0.001
	Unknown	0.83	0.751–0.918	<0.001	0.875	0.790–0.970	0.011
SES	Low	0.71	0.631–0.800	<0.001	0.398	0.353–0.449	<0.001
	Medium	0.939	0.837–1.053	0.283	0.836	0.745–0.938	0.002
	High	1			1
Smoking	Non-smokers	1.109	0.995–1.236	0.061	1.638	1.461–1.837	<0.001
	Current smokers	1			1
	Unknown	0.908	0.813–1.014	0.086	1.034	0.919–1.163	0.576
DM	Yes	0.94	0.869–1.016	0.121	0.72	cl	<0.001
	No	1			1
Depression	Yes	0.801	0.723–0.887	<0.001	0.767	0.691–0.851	<0.001
	No	1			1
IHD	Yes	1.325	1.201–1.461	<0.001	1.269	1.150–1.401	<0.001
	No	1			1
Clinic visits	<30	0.266	0.245–0.288	<0.001	0.085	0.078–0.094	<0.001
	30–60	0.681	0.632–0.734	<0.001	0.458	0.425–0.494	<0.001
	>60	1			1

The results of a multinomial logistic regression analysis are shown, with non-adherence as the reference category. Since, adherence decreased with age; the remaining variablesare age-adjusted. The reference category for the dependent variables was set as non-adherence. The reference category within each independent variable was set to an odds ratio of one.