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

From: Community-based intervention to promote breast cancer awareness and screening: The Korean experience

  Odds ratios and 95% confidence intervals
  Myth 1 Myth 2 Myth 3 Myth 4 Myth 5 Myth 6
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)
  1. * Only variables that had a time by city interaction term are shown in the table because of the high number of variables involved in the final model.