Table 3.

The results of the regression model examining explanatory variables for mortality: The model is adjusted for age and BMI.

RISK FACTORRELATIVE RISK (95% CI)
Female vs male0.47 (0.27 to 0.82)
Imputed income (categorical variable with 5 categories, treated as continuous from low to high income)0.75 (0.59 to 0.96)
High school graduate vs non-graduate1.05 (0.54 to 2.04)
Born in Canada vs immigrant1.76 (0.99 to 3.12)
Ever smoked daily vs never smoked daily2.17 (1.15 to 4.09)
Alcohol use during the previous year
  • > 1 drink per week1.0 (reference)
  • ≤ 1 drink per week1.91 (0.90 to 4.02)
  • None4.22 (1.81 to 9.85)
Diabetes diagnosis before survey2.74 (1.46 to 5.13)
Hypertension before survey1.39 (0.76 to 2.53)
Cancer before survey1.93 (1.07 to 3.50)
  • BMI—body mass index.