Table 5.

Predictors of screening from self-reports or electronic medical records: Covariates in the logistic regression model include age ≥ 55 y, female sex, smoking, alcohol use, exercise, good health, mental health diagnoses, born in Canada, recent immigrant, completed college or university, married, employed, income ≥ $100 000, FH reported on health questionnaire, and high risk based on FH.

PREDICTOR VARIABLEODDS RATIO (95% CI)P VALUE
Diabetes (n = 775)
Ever had screening
  • Age ≥ 55 y1.6 (1.1–2.3).018
  • Completed college or university0.6 (0.37–0.85).006
  • Married1.7 (1.1–2.6).014
Up-to-date screening
   • Married1.6 (1.1–2.3).023
  • Presence of FH0.48 (0.35–0.66)< .001
Breast cancer (n = 555)
Ever had screening
  • Age ≥ 55 y11.5 (4.0–33.1)< .001
  • Born in Canada2.4 (1.2–4.6).013
Up-to-date screening
  • Employed1.7 (1.1–2.6).021
  • Presence of FH0.45 (0.29–0.71)< .001
Colorectal cancer (n = 775)
Ever had screening
  • Age ≥ 55 y7.0 (4.6–10.5)< .001
  • Recent immigrant0.23 (0.06–0.87).031
  • Presence of FH1.9 (1.1–3.1).016
Up-to-date and correct screening
  • Age ≥ 55 y6.3 (4.4–8.9)< .001
  • Smoker0.55 (0.32–0.97).038
  • Income ≥ $100 000.63 (0.44–0.92).015
  • High risk based on FH2.7 (1.4–5.2).002
  • FH—family history.