Table 5 Logistic regression models for factors related to change in myths about screening mammography (n = 480)*

Age (yr) × Time × City

30-39

1.0

1.0

40-49

1.67 (0.70-4.00)

1.08 (0.33-3.57)

50-59

0.34 (0.14-0.84)

0.19 (0.05-0.74)

60-69

0.50 (0.18-1.45)

0.13 (0.03-0.53)

Marital status × Time × City (currently married vs. not currently married)

5.17 (1.20-22.25)

Income × Time × City (≥ 20000$ vs. < 20000$)

33.39 (4.67-238.45)

Employment × Time × City

27.46 (1.97-382.29)

History of mammography × Time × City

2.48 (1.32-4.63)

TV ads on breast cancer screening × Time × City

0.65 (0.52-0.82)

Radio ads on breast cancer screening × Time × City

0.71 (0.50-1.00)

Newspaper article or ad × Time × City

0.63 (0.46-0.88)

0.35 (0.18-0.68)

Posters on apartment billboards × Time × City

2.12 (1.47-3.05)

Posters in clinic or pharmacy waiting rooms × Time × City

1.40 (1.17-1.68)

Street promotion × Time × City

2.30 (1.53-3.47)

1.59 (1.15-2.20)

1.59 (1.03-2.47)

Ad on other websites × Time × City

0.48 (0.31-0.72)

Physician or pharmacist recommendations × Time × City

1.74 (1.29-2.34)

Personal stories of cancer patients × Time × City

1.78 (1.01-3.16)

Small group education by private hospitals × Time × City

0.64 (0.46-0.89)

0.34 (0.20-0.57)