Table 2.

Bivariate and Multivariate Risk Ratios (RR [95% CI]) to Evaluate the Association Between Patient Characteristics and FIT Non-Return, n = 875

BivariateMultivariate
RR95% CIPRR95% CIP
Sex
    Male (Ref)1.001.00
    Female0.930.82, 1.07.330.950.82, 1.09.43
Age, years
    50 to 59 years1.110.86, 1.45.421.090.83, 1.43.52
    60 to 69 years0.980.74, 1.29.880.960.73, 1.27.79
    70 years and older (Ref)1.001.00
Race/ethnicity
    Hispanic or Latino0.940.80, 1.11.451.010.84, 1.20.94
    Non-Hispanic white (Ref)1.001.00
    Non-Hispanic black1.180.99, 1.40.061.160.98, 1.38.08
    Non-Hispanic other1.491.02, 2.19.041.230.85, 1.80.26
Insurance status
    Private (Ref)1.001.00
    Public1.211.01, 1.44.041.010.85, 1.19.95
    Self-pay0.850.73, 0.99.041.130.94, 1.35.18
Body mass index
    Underweight or normal (Ref)1.001.00
    Overweight0.930.76, 1.14.480.970.79, 1.19.79
    Obese0.980.82, 1.17.811.030.86, 1.24.71
Smoking
    Never (Ref)1.001.00
    Former1.110.94, 1.31.221.060.89, 1.26.50
    Current1.321.13, 1.54<.0011.261.07, 1.48.01
  • CI, confidence interval; FIT, fecal immunochemical test; RR, risk ratio.

  • Bivariate and multivariate log-binomial regression models the risk of FIT non-return. Multivariate model includes all variables in the table. Risk ratios greater than one indicate the patient characteristic is a risk factor for failing to return the FIT and risk ratios less than one indicate a beneficial characteristic for FIT return. Bold font indicates statistical significance at the two-sided α = 0.05 level.