Table 4.
Model 1: Binary | Model 2: Confounders | |||
---|---|---|---|---|
n=203 | n=203 | |||
OR | 95% CI | OR | 95% CI | |
Non-Medical Seeking (0-1) | 0.40* | [0.18, 0.89] | 0.33* | [0.13, 0.85] |
Non-Medical Scanning (0-8) | 1.15 | [0.94. 1.41] | 1.14 | [0.90, 1.44] |
Age | -- | -- | 1.02 | [0.96, 1.08] |
Race/ethnicity | ||||
Non-Hispanic White | -- | 1.00 | ||
Non-Hispanic Black | -- | -- | 0.96 | [0.25, 3.71] |
Hispanic/Other | -- | -- | 0.59 | [0.16, 2.14] |
Income | -- | -- | 1.11 | [0.97, 1.27] |
Education | -- | -- | 0.93 | [0.79, 1.09] |
Marital status | ||||
Married | -- | 1.00 | ||
Single (never married) | -- | -- | 1.75 | [0.50, 6.08] |
Divorced/Widowed/Separated | -- | -- | 1.70 | [0.39, 7.37] |
Living in an urban area | -- | -- | 1.14 | [0.41, 3.17] |
Region of the country | ||||
Northeast | -- | 1.00 | ||
Midwest | -- | -- | 0.22* | [0.06, 0.82] |
South | -- | -- | 0.73 | [0.24, 2.22] |
West | -- | -- | 0.48 | [0.12, 1.85] |
General media use | -- | -- | 0.99 | [0.94, 1.06] |
Health media use | -- | -- | 1.08 | [0.92, 1.27] |
Health status | -- | -- | 0.87 | [0.53, 1.42] |
Past year doctor visits | -- | -- | 0.98 | [0.87, 1.10] |
Exercise | -- | -- | 0.97 | [0.81, 1.15] |
Fruit and vegetable intake | -- | -- | 1.01 | [0.85, 1.20] |
BMI | -- | -- | 0.94 | [0.86, 1.04] |
Health orientation | -- | -- | 1.97* | [1.05, 3.72] |
Smoking status | -- | -- | 0.18** | [0.05, 0.57] |
Health knowledge | -- | -- | 0.95 | [0.75, 1.21] |
Dieting past month | -- | -- | 0.87 | [0.40, 1.88] |
Cancer fatalism | -- | -- | 0.90 | [0.59, 1.37] |
Personal cancers history | -- | -- | 0.56 | [0.15, 2.08] |
Family/friends prostate cancer history | -- | -- | 0.89 | [0.39, 2.00] |
p<.05
p<.01
All analyses are weighted to be nationally representative. Model 2 adjusts for confounders measured at Time 1. Significant differences for individual categories within a set are only noted if the set is also significant at p < .10.