Table 4.

Multivariate logistic regression models of the relationship between perceived ambiguity, mammography uptake, and mammography intentions (Maximizing Mammography Participation Trial)

VariablesPrediction 1 model: baseline mammography intentions (n = 3,161)
Prediction 2 model: follow-up mammography intentions (n = 2,843)
OR (95% CI)P*OR (95% CI)P*
Age<0.00010.11
    50-591.001.00
    60-690.69 (0.57-0.84)0.77 (0.55-1.08)
    70-800.56 (0.45-0.69)0.69 (0.48-0.99)
Race0.060.13
    White1.001.00
    Black0.96 (0.63-1.48)0.58 (0.31-1.09)
    Other0.68 (0.50-0.93)0.72 (0.42-1.22)
Education level0.150.30
    Less than high school1.001.00
    Some college1.36 (0.99-1.87)0.98 (0.58-1.65)
    College graduate1.27 (0.90-1.79)0.77 (0.44-1.36)
Income0.130.003
    Under $30,0001.001.00
    Over $30,0001.15 (0.96-1.37)1.58 (1.17-2.14)
Prior mammography history<0.0001<0.0001
    No1.001.00
    Yes4.20 (3.39-5.19)3.38 (2.49-4.60)
Study intervention<0.0001<0.0001
    None1.001.00
    Reminder postcard0.38 (0.30-0.48)0.12 (0.08-0.19)
    Reminder telephone call0.42 (0.35-0.50)0.21 (0.14-0.31)
Perceived ambiguity<0.00010.01
    Lowest1.001.00
    Low0.79 (0.63-0.99)0.77 (0.53-1.13)
    High0.33 (0.26-0.43)0.54 (0.37-0.79)
    Highest0.34 (0.20-0.55)0.86 (0.44-1.68)
Baseline mammography intentions<0.0001
    Very unlikely1.00
    Somewhat unlikely3.04 (2.03-4.57)
    Somewhat likely6.18 (4.19-9.11)
    Very likely18.48 (12.68-26.94)
  • 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 test of association.