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Table 1 Characteristics of the Sample (n = 535)

From: A patient-centered view of symptoms, functional impact, and priorities in post-COVID-19 syndrome: cross-sectional results from the Québec Action Post-COVID cohort

Sociodemographic [Norm]

N or Mean

% or SD

Model

Sex: Men/Women/Other

121/407/7

22.5%/76.1%/1.3%

 

Age

48.8

12.2 (18–83)

 

Men (n = 121)

51.1

13.2

 

Women (n = 407)

48.4

11.6

 

Education

 High school

47

8.8

 

 College or technical

159

29.7

 

 Bachelors

176

32.9

 

 Post-graduate / professional

153

28.6

 

Language: English/French

184/371

33.1%/66.9%

 

Caucasian race

452

84.5%

 

Positive test for COVID

486

92.1%

 

Hospitalized [5.8%]a

29

6.0%

Logistic

 Men

12

10.9%

 

 Women

16

4.3%

 

Days in hospital: M/W

14.7/ 7.1

ne

Quantile

 Range

1–58

  

 1 day

11

37.3%

 

 2–6 days

8

28.6%

 

 7–14 days

5

17.8%

 

 > 14 days

5

17.8%

 

 ICU / Intubated

12

42.9%

 

COVID more than once

152

28.8%

Logistic

Time from last + COVID test (days)

524

324.4 (251.0) [129—434]

Quantile

Reported number of vaccines

 0

12

2.3%

 

 1 + [80%]

516

97.7%

Logistic (1 +)

 2 + 

502

95.1%

 

 3

390

73.9%

 

 4a

207

39.2%

 

 5

37

7.0%

 

Missing

27

  

Current smoker

26

4.9%

Logistic

Cannabis user

30

5.6%

Logistic

Alcohol consumer (> monthly)

271

50.7%

Logistic

Any increase consumption

88

16.5%

Logistic

Working prior to COVIDa

426

79.6%

Logistic

 Hours have changed

293

68.8%

Logistic

 On paid / unpaid sick leave

179

42.0%

Logistic

Roles and responsibilities outside work

 Pre-school childrenb

49

8.8

Logistic

 School-age childrenb M/W

32/153

26.5%/38.15

Logistic

 Caring for petsa M/W

48/233

39.7/57.3

Logistic

 Shopping M/W

85/334

70.3%/82.1%

Logistic

 Meal preparationb M/W

75/345

62.0%/84.8%

Logistic

 Household management M/W

88/350

72.7%/86.0%

Logistic

 Others

117

21.1%

 

Money to meet needs: not completelya

265

49.6%

Logistic

Worry about moneya

308

57.7%

Logistic

  1. aage effect: older adults more likely to be hospitalized and receive 4 or more vaccines
  2. bage effect: younger more work and other responsibilities
  3. Canadian data on hospitalization and vaccination rates from Canadian Government [42]