Table 3.

Four logistic regression models of recent mammography screening

	Recent mammography (<2 years)a,c
	OR	95 % CI	p value
Model 1: predisposing domain
Education
<High schoolb	1.000
≥High school	2.999	(1.154, 7.793)	0.024**
Language-based acculturation	0.641	(0.414, 0.995)	0.047**
Country of Birth
Mexicob	1.000
US	2.042	(0.590, 7.060)	0.259
Model 2: enabling domain
Age	1.062	(1.006, 1.120)	0.029**
Health insurance
Noneb	1.000
Public	1.746	(0.538, 5.667)	0.354
Private	2.391	(1.093, 5.228)	0.029**
Physician visit <1 year
Nob	1.000
Yes	3.336	(1.603, 6.944)	0.001*
Model 3: need domain
Health status	0.877	(0.580, 1.325)	0.534
Unhealthy days	0.962	(0.922, 1.004)	0.078^
Activity limitationd	4.932	(0.411, 59.214)	0.208
Model 4: Full BMHSU
Education
Less than high schoolb	1.000
High school or greater	4.634	(1.020, 21.062)	0.047**
Language-based acculturation	0.329	(0.156, 0.693)	0.003*
Country of birth
Mexicob	1.000
US	4.945	(0.708, 34.515)	0.107
Age	1.067	(1.010, 1.126)	0.021**
Health insurance
Noneb	1.000
Public	3.081	(0.545, 17.420)	0.203
Private	2.964	(0.664, 13.236)	0.155
Physician visit <1 year
Nob	1.000
Yes	4.413	(1.610, 12.094)	0.004*
Health status	0.885	(0.484, 1.619)	0.692
Unhealthy days	0.982	(0.927, 1.040)	0.540
Activity limitationd	1.069	(0.046, 24.918)	0.967

CI = confidence interval;

^{^}Approaching significance at the 0.05 level (0.05>p< 0.10);

^*p ≤ 0.01;

^**p ≤ 0.05

Model 1: ^an = 185; ^b reference category, ^c model Chi square: 6.467 (df = 3, p = 0.091); GOF χ² = 2.317, (df = 6, p = 0.888)

Model 2: ^an = 195; ^b reference category; ^c model Chi square: 29.355 (df = 4, p = 0.000); GOF χ² = 4.568, (df = 8, p = 0.803)

Model 3: ^an = 141; ^c model Chi square: 3.819 (df = 3, p = 0.282); GOF χ² = 4.155, (df = 8, p = 0.843); ^d activity limitation is transformed

Model 4: ^an = 124; ^b reference category; ^c model Chi square: 31.373 (df = 10, p = 0.001); GOF χ² = 5.304, (df = 8, p = 0.725); ^d activity limitation is transformed