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Table 2 Associations between sociodemographic factors and vaccination status: Odds of being unvaccinated vs. vaccinated

From: Measuring inequalities in COVID-19 vaccination uptake and intent: results from the Canadian Community Health Survey 2021

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

  1. Bold values indicate significant odds ratios after adjustment at the 5% level
  2. 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
  3. b Sample size for the multiple logistic regression is n = 8,908
  4. c Wilson score interval for binomial proportions
  5. d 95% confidence intervals for odds ratios (OR) were adjusted using the Tukey–Kramer method for multiple comparisons
  6. e Covariates to control for provincial differences in vaccination rollout plans and vaccination eligibility
  7. E Estimate is of marginal quality, use with caution