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. 2006 Feb;21(2):158–164. doi: 10.1111/j.1525-1497.2005.00312.x

Table 3.

Logistic Regression Model for Routine Mammography Use (N=5,921)


Variables and Effects OR Lower 95% Limit OR Upper 95% Limit OR

Age
 45 to 49 1.00
 50 to 55 1.62 1.33 1.97
 56 to 65 1.48 1.21 1.82
 65+ 1.12 0.89 1.42
Projected breast cancer risk
 First quartile (<0.086%) 1.00
 Second quartile (0.086% to 1.17%) 1.38 1.12 1.69
 Third quartile (1.17% to 1.57%) 1.57 1.24 1.99
 Fourth quartile (>1.57%) 2.23 1.73 2.87
Smoking
 Never 1.00
 Former 1.20
 <1 ppd 0.70 0.56 0.87
 ≥1 ppd 0.60 0.47 0.76
Ratio of family income to poverty (%)
 <125 1.00
 125 to 299 0.99 0.78 1.25
 ≥300 1.74 1.36 2.22
 NA 1.19 0.93 1.51
Race
 White 1.00
 Hispanic 1.16 0.91 1.48
 Black 1.32 1.06 1.65
 Other 0.61 0.39 0.94
Education
 <9 1.00
 9 to 12 1.04 0.77 1.40
 Higher-secondary grade 1.61 1.23 2.11
 Bachelors 2.06 1.51 2.82
Marital status
 No married 1.00
 Married 1.34 1.17 1.55
Routine source of care
 No 1.00
 Yes 2.92 2.21 3.86
Insurance status
 No 1.00
 Yes 2.21 1.73 2.84
Perceived cancer risk
 Low risk 1.00
 Med/high risk 1.30 1.13 1.49
Ever had biopsy
 No 1.00
 Yes 5.69 3.19 10.15

OR, odds ratio; ppd, pack per day; NA, not available.