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