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. 2022 Sep 8;22:1708. doi: 10.1186/s12889-022-14090-z

Table 2.

Associations between sociodemographic factors and vaccination status: Odds of being unvaccinated vs. vaccinated

Predictors Sample Sizea % Not vaccinated Simple Logistic Regression Multiple Logistic Regressionb
n % (95% CIc) OR (95% CId) P-value aOR (95% CId) P-value
Overall 9223 11 (10–13)
Region of Residencee
 Atlantic 1812 10 (9–13) 1.1 (0.7–1.6) 0.996 1.3 (0.8–2.1) 0.493
 Quebec 1513 10 (8–12) Reference Reference
 Ontario 2808 12 (10–14) 1.2 (0.8–1.9) 0.81 1.5 (0.9–2.5) 0.227
 Prairies 2253 13 (11–15) 1.3 (0.8–2.1) 0.412 1.5 (0.9–2.6) 0.179
 British Columbia 837 11 (8–14) 1.1 (0.6–1.9) 0.989 1.5 (0.8–2.7) 0.446
Age Groupe
 18–29 752 17 (13–21) 4.4 (2.6–7.4)  < 0.001 6.0 (2.5–14.7)  < 0.001
 30–39 1183 15 (12–18) 3.8 (2.3–6.3)  < 0.001 5.9 (2.5–13.7)  < 0.001
 40–49 1139 13 (11–17) 3.5 (2.1–5.7)  < 0.001 5.1 (2.2–11.9)  < 0.001
 50–59 1331 9 (8–12) 2.3 (1.4–3.8)  < 0.001 3.2 (1.5–6.8)  < 0.001
 60–69 2193 7 (6–9) 1.8 (1.1–2.9) 0.018 1.8 (0.9–3.6) 0.114
 70 +  2625 4 (3–6) Reference Reference
Indigenous Identitye
 Indigenous 419 19 (13–26)E 1.9 (1.2–2.9) 0.004 1.4 (0.8–2.2) 0.214
 Non-Indigenous 8697 11 (10–12) Reference Reference
Gender
 Male 4009 11 (9–12) 1.2 (0.9–1.4) 0.185 1.1 (0.9–1.4) 0.36
 Female 5199 12 (10–14) Reference Reference
Level of Education
 Less than secondary 1181 16 (12–20) 2.5 (1.5–4.0)  < 0.001 3.5 (2.1–6.1)  < 0.001
 Secondary 2063 13 (11–16) 2.0 (1.4–3.1)  < 0.001 2.4 (1.5–3.7)  < 0.001
 Post-secondary 3070 14 (12–16) 2.1 (1.4–3.0)  < 0.001 2.5 (1.6–3.7)  < 0.001
 University 2856 7 (6–9) Reference Reference
Employment Status
 Employed 4443 12 (10–14) Reference Reference
 Unemployed 3371 11 (10–13) 1.0 (0.7–1.3) 0.901 1.2 (0.8–1.6) 0.618
 Not in the labour force 1367 4 (3–6)E 0.3 (0.2–0.5)  < 0.001 0.9 (0.4–1.8) 0.892
Marital Status
 Divorced/Separated/Widowed 2189 13 (11–16) 1.5 (1.1–2.2) 0.011 1.6 (0.8–3.2) 0.297
 Single 1901 16 (13–19) 1.8 (1.4–2.5)  < 0.001 1.2 (0.7–2.2) 0.634
 Married/Common law 5122 9 (8–10) Reference Reference
Immigration Status
 Non-Immigrant 7604 11 (10–12) Reference Reference
 Non-Permanent Resident 112 27 (16–41)E 3.1 (1.3–7.5) 0.009 2.2 (0.8–6.2) 0.182
 Immigrant 1411 11 (9–14) 1.1 (0.8–1.5) 0.806 1.5 (0.9–2.3) 0.147
Visible Minority Status
 Not a visible minority 8170 11 (10–12) Reference Reference
 Visible minority 923 12 (9–15) 1.1 (0.8–1.5) 0.45 0.7 (0.4–1.2) 0.178
Mother Tongue
 English or French 8160 11 (10–12) Reference Reference
 Neither English or French 968 13 (10–17) 0.9 (0.5–1.5) 0.45 1.2 (0.7–1.8) 0.512
Children under 12 in the household
 1 or more 1323 15 (12–17) 1.5 (1.2–1.8) 0.001 1.6 (1.1–2.4) 0.013
 None 7900 10 (9–12) Reference Reference
Household Composition
 Unattached 3147 13 (11–16) 1.8 (1.2–2.7) 0.001 1.3 (0.6–2.7) 0.927
 Couple with children 2052 11 (9–13) 1.4 (0.9–2.1) 0.14 0.6 (0.3–1.1) 0.207
 Lone with children 644 20 (15–25) 2.9 (1.7–4.8)  < 0.001 1.1 (0.5–2.8) 0.996
 Couple 3119 8 (6–10) Reference Reference
 Other, Unknown 261 14 (9–22)E 1.3 (0.9–1.7) 0.135 0.8 (0.3–2.3) 0.974
Dwelling Ownership Status
 Rent 1949 15 (13–18) 1.7 (1.3–2.1)  < 0.001 1.0 (0.7–1.3) 0.829
 Own 7190 10 (9–11) Reference Reference
Having a Regular Healthcare Provider
 No 1105 18 (14–22) 1.9 (1.4–2.5)  < 0.001 1.6 (1.1–2.2) 0.006
 Yes 8098 10 (9–11) Reference Reference
Self-Perceived Health
 Fair or poor 1310 16 (13–20) 1.6 (1.2–2.1) 0.001 1.8 (1.3–2.4)  < 0.001
 Excellent, very good or good 7903 11 (10–12) Reference Reference
COVID-19 Status
 Did not have COVID-19 9029 11 (10–12) 0.7 (0.4–1.4) 0.342 0.7 (0.4–1.5) 0.37
 Had COVID-19 181 14 (8–24)E Reference Reference

Bold values indicate significant odds ratios after adjustment at the 5% level

a Sample sizes for proportions and simple logistic regression models do not always add up to the total n = 9,509 due to missing values in predictor and outcome variables

b Sample size for the multiple logistic regression is n = 8,908

c Wilson score interval for binomial proportions

d 95% confidence intervals for odds ratios (OR) were adjusted using the Tukey–Kramer method for multiple comparisons

e Covariates to control for provincial differences in vaccination rollout plans and vaccination eligibility

E Estimate is of marginal quality, use with caution