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Table 3 SARS-Cov2 SEROPREVALENCE (ELISA-S ≥ 1.11) according to living conditions, and individual socio-economic factors in people living in France2: the national EpiCov cohort, round 1—May 2020: univariate and multivariate analysis

From: Prevalence of SARS-Cov-2 antibodies and living conditions: the French national random population-based EPICOV cohort

 

Univariate analysis3

Multivatiate analysis3

 

%

ORcr

95% CI

P

OR adj

95% CI

P

Population density in municipality of usual residence

       

 Low

3.4

Ref

 

 < 0.001

Ref

 

 < 0.001

 Medium

3.3

0.9

[0.7–1.4]

 

1.1

[0.8–1.6]

 

 High

6.4

1.9

[1.4–2.7]

 

1.9

[1.3–2.7]

 

Number people in the household

       

 1

2.1

Ref

 

 < 0.001

Ref

 

 < 0.001

 2

2.7

1.3

[0.8–2.1]

 

1.4

[0.8–2.3]

 

 3

5.2

2.5

[1.5–4.1]

 

2.1

[1.2–3.5]

 

 4

7.1

3.6

[2.2–5.8]

 

2.5

[1.4–4.3]

 

 5 or more

8.5

4.4

[2.5–7.6]

 

3.5

[1.8–6.7]

 

Gender

      

0.13

 Men

3.9

Ref

 

0.053

Ref

  

 Women

5.0

1.3

[1.0–1.7]

 

1.2

[0.9–1.6]

 

Age (years)

       

 15–20

3.6

0.5

[0.3–0.8]

 < 0.001

0.5

[0.3–1.0]

0.002

 21–29

5.7

0.8

[0.5–1.2]

 

0.7

[0.5–1.1]

 

 30–49

6.9

Ref

  

ref

  

 50–64

4.5

0.6

[0.5–0.9]

 

0.9

[0.6–1.2]

 

 > 64

1.3

0.2

[0.1–0.3]

 

0.3

[0.2–0.6]

 

Tobacco use

       

 Daily smoker

2.8

Ref

 

0.031

Ref

 

0.015

 Occasional smoker

5.1

1.8

[1.0–3.5]

 

2.0

[1.0–4.0]

 

 Ex-smoker

4.5

1.6

[1.0–2.6]

 

1.9

[1.2–3.1]

 

 Non-smoker

5.1

1.8

[1.2–2.8]

 

2.0

[1.3–3.0]

 

Immigration status

       

 French native

4.1

Ref

 

 < 0.001

Ref

 

0.55

 1st gen immigrant from Europe4

4.8

1.2

[0.6–2.3]

 

1.4

[0.7–2.9]

 

 1st gen immigrant from outside Europe4

9.4

2.4

[1.5–4.0]

 

1.6

[0.9–2.8]

 

 2nd gen immigrant from Europe5

3.6

0.9

[0.5–1.5]

 

1.0

[0.6–1.6]

 

 2nd gen immigrant from outside Europe5

6.2

1.5

[0.9–2.6]

 

1.1

[0.6–2.0]

 

Occupational status

       

 Healthcare profession6

11.4

2.1

[1.4–3.2]

 < 0.001

2.2

[1.4–3.3]

0.002

 Other essential profession7

5.2

0.9

[0.6–1.3]

 

1.0

[0.7–1.5]

 

 Non-essential profession

5.7

Ref

  

Ref

  

 No occupation

3.0

0.5

[0.4–0.7]

 

0.9

[0.6–1.3]

 

Highest diploma attained

       

 < High school

2.8

0.5

[0.3–0.7]

 < 0.001

0.7

[0.5–0.9]

0.034

 ≥ High school and < Bachelor’s degree

5.8

Ref

  

Ref

  

 ≥ Bachelor’s degree

6.2

1.1

[0.8–1.4]

 

0.8

[0.6–1.1]

 

Family income per capita (deciles)

       

 D01 (lowest)

5.7

2.0

[1.0–3.9]

0.008

1.6

[0.8–3.2]

0.004

 D02–D03

4.8

1.7

[1.1–2.6]

 

1.7

[1.1–2.6]

 

 D04–D05

3.3

1.1

[0.7–1.7]

 

1.1

[0.7–1.7]

 

 D06–D07

2.9

Ref

  

Ref

  

 D08–D09

5.5

1.9

[1.4–2.7]

 

1.8

[1.3–2.6]

 

 D10 (highest)

6.0

2.1

[1.5–3.1]

 

1.9

[1.3–3.0]

 
  1. Bold is used to underline % and OR
  2. 1Home sampling for finger prick/Euroimmun ELISA-S test
  3. 2People aged 15 or over, living in mainland France, but not in residential care homes for the elderly or prisons
  4. 3The sampling design is taken into account for the estimation of prevalence, crude and adjusted odds ratios, confidence intervals and tests, with the SAS procsurvey procedure. The percentages are weighted by sampling weight (the inverse of e inclusion probability), corrected for non-response probability and calibrated on the margin of the census. The prevalences are not equal to n/N
  5. 4First-generation immigrants: born non-French outside France and living permanently in France (including those who subsequently acquired French nationality)
  6. 5Second-generation immigrants: born and living in France, with at least one parent a first-generation immigrant
  7. 6Including medical and paramedical professionals, Firefighters, Pharmacists and ambulance drivers (but not including hospital cleaners, for example)
  8. 7Home helps or housekeepers, food shop workers, delivery drivers, public transportation drivers, cab drivers, bank customer service or reception staff, petrol station employees, police officers, postal workers, cleaning staff, security guards, construction workers, truck drivers, farmers and social workers