Table 6.

Multivariate logistic regression model of the relationship between all predictor variables and mammography uptake* (Maximizing Mammography Participation Trial)

Prediction 5 model: mammography uptake (n = 3,004)
VariablesOR (95% CI)P*
Age
    50-591.000.28
    60-690.86 (0.72-1.04)
    70-800.97 (0.79-1.20)
Race
    White1.000.72
    Black0.86 (0.55-1.34)
    Other0.92 (0.65-1.30)
Education level
    Less than high school1.000.96
    Some college0.97 (0.69-1.39)
    College graduate0.96 (0.66-1.39)
Income
    Under $30,0001.000.09
    Over $30,0001.17 (0.98-1.39)
Prior mammography history
    No1.00<0.0001
    Yes3.19 (2.46-4.13)
Study intervention
    None1.00<0.0001
    Reminder postcard0.01 (0.00-0.01)
    Reminder telephone call0.01 (0.01-0.02)
Perceived ambiguity
    Lowest1.000.004
    Low1.11 (0.88-1.39)
    High0.67 (0.50-0.91)
    Highest0.43 (0.22-0.84)
Baseline mammography intentions
    Very unlikely1.00<0.0001
    Somewhat unlikely2.04 (1.38-3.03)
    Somewhat likely3.22 (2.28-4.55)
    Very likely3.30 (2.41-4.50)
Baseline mammography worry
    Low1.000.23
    High0.91 (0.77-1.06)
Baseline perceived risk
    Much lower1.000.16
    Somewhat lower1.03 (0.84-1.27)
    About the same1.02 (0.83-1.26)
    Somewhat/much higher0.80 (0.62-1.03)
  • NOTE: Total sample N = 3,701 (decreased and unequal n for individual models due to missing data).

    Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

  • * P for Wald χ2 of association.

  • “Somewhat higher” and “Much higher” categories collapsed to accommodate small cell sizes in the model.