Table 3.

Binary Logistic Regression Analysis on Receipt of Breast Cancer Screening (N=233)

Factors	CBE Receipt		Mammographic Screening Receipt
Variables	OR	95% CI	OR	95% CI
Predisposing
Age (20~82 & 40~82)	1.043	[1.017, 1069]	1.022	[0.963, 1.084]
Marital status (Ref=not married or partnered)	2.154	[1.022, 4.539]	3.26	[0.593, 17.934]
Enabling
English proficiency (Ref=no)	1.415	[0.664, 3.015]	1.636	[0.398, 6.734]
Income (Ref=less than $6,000 per month)	2.289	[1.060, 4.945]	0.662	[0.154, 2.844]
Breast cancer literacy (0~7)	1.334	[0.956, 1.862]	1.535	[0.897, 2.629]
Annual check-up (Ref=no)	2.725	[1.342, 5.533]	4.509	[1.263, 16.102]
Need
Family cancer history (Ref=no)	0.585	[0.296, 1.154]	0.112	[0.023, .552]
Depression level (0~3)	0.937	[0.470, 1.870]	1.307	[0.422, 4.044]
Health status (Ref=very poor/poor)	1.306	[0.359, 4.747]	0.349	[0.024, 5.156]
Constant	0.02		0.711

OR, odds ratio; According to American Cancer Society’s suggestion regarding each screening’s criteria age, age from 20 to 82 were applied as an independent variable of CBE receipt; Age only from 40 to 82 were applied as an independent variable of mammogram receipt.