Skip to main content
. 2017 Jan;63(1):e58–e67.

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 VARIABLE ODDS RATIO (95% CI) P VALUE
Diabetes (n = 775)
Ever had screening
  • Age ≥ 55 y 1.6 (1.1–2.3) .018
  • Completed college or university 0.6 (0.37–0.85) .006
  • Married 1.7 (1.1–2.6) .014
Up-to-date screening
   • Married 1.6 (1.1–2.3) .023
  • Presence of FH 0.48 (0.35–0.66) < .001
Breast cancer (n = 555)
Ever had screening
  • Age ≥ 55 y 11.5 (4.0–33.1) < .001
  • Born in Canada 2.4 (1.2–4.6) .013
Up-to-date screening
  • Employed 1.7 (1.1–2.6) .021
  • Presence of FH 0.45 (0.29–0.71) < .001
Colorectal cancer (n = 775)
Ever had screening
  • Age ≥ 55 y 7.0 (4.6–10.5) < .001
  • Recent immigrant 0.23 (0.06–0.87) .031
  • Presence of FH 1.9 (1.1–3.1) .016
Up-to-date and correct screening
  • Age ≥ 55 y 6.3 (4.4–8.9) < .001
  • Smoker 0.55 (0.32–0.97) .038
  • Income ≥ $100 00 0.63 (0.44–0.92) .015
  • High risk based on FH 2.7 (1.4–5.2) .002

FH—family history.