Skip to main content
. 2022 Oct 14;17(10):e0276160. doi: 10.1371/journal.pone.0276160

Table 2. Multilevel logistic regression analysis of factors associated with receipt of one dose of COVID-19 vaccine in Alberta, Canadaa.

 Characteristics Model 2 Model 3 Model 4 Model 5
AOR (95% CI) AOR (95% CI) AOR (95% CI) AOR (95% CI)
Age categories
12–17 years Ref Ref Ref Ref
18–29 years 1.00 (0.99–1.01) 1.01 (1.0–1.02) 1.00(0.94–1.06) 1.01 (0.89–1.14)
30–49 years 1.05 (1.04–1.05) 1.05 (1.04(1.06) 1.03 (0.97–1.09) 1.04 (0.92–1.18)
50–64 years 1.78 (1.77–1.79) 1.79 (1.78–1.81) 1.78 (1.67–1.88) 1.77 (1.56–2.01)
65 to 74 years 2.68 (2.65–2.71) 2.71 (2.68–2.74) 2.59 (2.44–2.75) 2.66 (2.35–3.02)
75 years and above 2.82 (2.79–2.86) 2.89 (2.86–2.93) 2.81(2.64–2.99) 2.88 (2.54–3.26)
Sex 
Male Ref Ref Ref Ref
Female 1.21 (1.21–1.22) 1.21 (1.21–1.22) 1.21 (1.20–1.23) 1.21 (1.20–1.23)
Income Quintile
Q1 (Lowest income) N/A Ref Ref Ref
Q2 N/A 1.14 (1.13–1.15) 1.12 (1.07–1.17) 1.22 (1.11–1.33)
Q3 N/A 1.28 (1.27–1.29) 1.26 (1.21–1.32) 1.37 (1.25–1.49)
Q4 N/A 1.42 (1.41–1.44) 1.40 (1.34–1.46) 1.50 (1.37–1.64)
Q5 (Highest income) N/A 1.67 (1.65–1.68) 1.62 (1.55–1.70) 1.76 (1.60–1.93)
Geographic health zone
Central zone N/A Ref Ref Ref
South zone N/A 0.93 (0.90–0.96) 0.90 (0.86–0.94) 1.17 (1.12–1.22)
Calgary zone N/A 1.19 (1.16–1.23) 1.23 (1.19–1.27) 1.26 (1.21–1.31)
Edmonton zone N/A 1.03 (0.98–1.08) 1.04 (0.98–1.10) 1.11 (1.05–1.18)
North zone N/A 1.17 (1.12–1.23) 1.02 (0.96–1.07) 0.82 (0.77–0.86)
Place of residence
Rural N/A Ref Ref Ref
Metro N/A 1.28 (1.24–1.33) 1.25 (1.20–1.30) 1.37 (1.31–1.42)
Urban N/A 1.01 (0.98–1.03) 1.00 (0.98–1.03) 1.11 (1.08–1.14)
Neighborhood COVID-19 risk level
R5 (Lowest risk) N/A N/A N/A Ref
R1 (Highest risk) N/A N/A N/A 1.52 (1.12–2.05)
R2 (Higher risk) N/A N/A N/A 1.14 (0.93–1.39)
R3 (Medium risk) N/A N/A N/A 1.15 (0.96–1.38)
R4 (Lower risk) N/A N/A N/A 1.12 (0.96–1.32)

a Notes

Model 1-Empty unconditional model with no exposure variables, not shown in the table

Model 2. Variables defining individual-level characteristics of the individuals (age categories and sex) added into the Model 1.

Model 3. Place-based variables defined at the postal code level (urban/rural place of residence, geographic health zone, neighborhood income quintile) were added into the Model 2.

Model 4. Variables showing significant association in the fixed effects in model 3 were included in the random statements into the Model 3.

Model 5 (final model): Place-based variable defined at the FSA level (Neighborhood COVID-19 risk level) was added to the Model 4.