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Table 1 Sociodemographic characteristics and information sources among participants vaccinated and unvaccinated against COVID-19

From: Understanding the factors associated with COVID-19 vaccine hesitancy in Venezuela

Characteristics

Total (n = 1,930; 100%)

Vaccinated (n = 1,802; 93.4%)

Unvaccinated (n = 128; 6.6%)

P-value

Age, mean (SD), years

40 (17)

40 (17)

42 (16)

0.118*

Gender, n (%)

   

0.037

Female

1,298 (67.3)

1,223 (67.9)

75 (58.6)

 

Male

627 (32.5)

575 (31.9)

52 (40.6)

 

Non-binary

5 (0.3)

4 (0.2)

1 (0.8)

 

Marital status, n (%)

   

0.074

Single

1,013 (52.5)

957 (53.1)

56 (43.8)

 

Married

519 (26.9)

482 (26.7)

37 (28.9)

 

Cohabiting (common-law)

210 (10.9)

189 (10.5)

21 (16.4)

 

Divorced

129 (6.7)

117 (6.5)

12 (9.4)

 

Widowed

59 (3.1)

57 (3.2)

2 (1.6)

 

Education level, n (%)

   

0.005‡§

Primary school

2 (0.1)

2 (0.1)

0 (0)

 

High school

388 (20.1)

363 (20.1)

25 (19.5)

 

Associate degree

178 (9.2)

154 (8.5)

24 (18.8)

 

University

1,362 (70.6)

1,283 (71.2)

79 (61.7)

 

Occupation, n (%)

   

< 0.001†||

Employee

477 (24.7)

444 (24.6)

33 (25.8)

 

Healthcare worker

470 (24.4)

454 (25.2)

16 (12.5)

 

Self-employed

402 (20.8)

357 (19.8)

45 (35.2)

 

Student

394 (20.4)

374 (20.8)

20 (15.6)

 

Retired

142 (7.4)

131 (7.3)

11 (8.6)

 

Unemployed

45 (2.3)

42 (2.3)

3 (2.3)

 

Monthly income, n (%)

   

0.524

≤$100

563 (29.2)

521 (28.9)

42 (32.8)

 

$101–200

427 (22.1)

396 (22)

31 (24.2)

 

$201–300

253 (13.1)

236 (13.1)

17 (13.3)

 

>$300

687 (35.6)

649 (36)

38 (29.7)

 

Information sources about the COVID-19 vaccine, yes (%)

    

Internet (Google information search)

1,127 (58.4)

1042 (57.8)

85 (66.4)

0.057

Advice from healthcare workers

1,037 (53.7)

989 (54.9)

48 (37.5)

< 0.001

Journals and/or scientific articles

819 (42.4)

770 (42.7)

49 (38.3)

0.325

Instagram

611 (31.7)

569 (31.6)

42 (32.8)

0.771

Television

527 (27.3)

490 (27.2)

37 (28.9)

0.674

Twitter

415 (21.5)

386 (21.4)

29 (22.7)

0.742

Educational lectures

393 (20.4)

369 (20.5)

24 (18.8)

0.639

Advice from family, friends and/or neighbors

391 (20.3)

355 (19.7)

36 (28.1)

0.022

YouTube

274 (14.2)

242 (13.4)

32 (25)

< 0.001

Radio

205 (10.6)

185 (10.3)

20 (15.6)

0.057

Newspapers

149 (7.7)

130 (7.2)

19 (14.8)

0.002

Facebook

144 (7.5)

130 (7.2)

14 (10.9)

0.121

TikTok

81 (4.2)

72 (4)

9 (7)

0.098

Other

36 (1.9)

30 (1.7)

6 (4.7)

0.015

  1. *Student’s t-test for independent samples; Pearson’s chi-square test; Fisher’s exact test; §Significant only for Associate degree (p < 0.001) for a value of α ≤ 0.01 by Bonferroni correction; ||Significant only for healthcare worker (p = 0.007) and for Independent (p < 0.001) for a value of α ≤ 0.008 by Bonferroni correction. Participants who responded “non-binary” were excluded from the gender analysis only on this occasion