Table 2 Univariable and sex and age controlled logistic regression models using post-COVID-19 condition (PCC) status as the dependent variable for the entire population of Ontario, Canada demonstrating how the PCC population differs from the non-PCC population of Ontario

Sex and Age

 Sex (Female)

1.392 (1.33-1.46)

< 0.001

 Age (Reference 0–18)

  19–30

2.426 (2.081-2.827)

< 0.001

  31–40

4.768 (4.173-5.449)

< 0.001

  41–65

6.777 (5.934-7.741)

< 0.001

  > 65

14.578 (12.815-16.584)

< 0.001

Sex and Age Adjusted Variables

 Geographic Location in the Province (Reference Central Ontario)

  Northern Ontario

1.326 (1.212-1.451)

< 0.001

  Southern Ontario

0.949 (0.896-1.006)

0.0767

  Western Ontario

0.95 (0.897-1.006)

0.0791

 Immigrant

0.601 (0.56-0.644)

< 0.001

 Rural (Reference No)

  Yes

0.933 (0.865-1.006)

0.07

  Missing

0.924 (0.557-1.534)

0.7599

 Comorbidities

  Asthma

1.808 (1.713-1.909)

< 0.001

  Congestive Heart Failure

2.643 (2.439-2.865)

< 0.001

  Chronic Obstructive Pulmonary Disease

1.931 (1.815-2.054)

< 0.001

  Hypertension

1.557 (1.472-1.647)

< 0.001

  Diabetes

1.306 (1.232-1.384)

< 0.001

Sex and Age Adjusted Ontario Marginalization Index Dimensions

 Material Resources (Reference 1 Lowest Marginalization)

  2

0.965 (0.901-1.033)

0.3026

  3

0.921 (0.858-0.988)

0.022

  4

0.855 (0.794-0.921)

< 0.001

  5 (Highest Marginalization)

0.894 (0.831-0.961)

0.0026

  Missing

0.857 (0.647-1.136)

0.284

 Racialized and Newcomer Population (Reference 1 Lowest Marginalization)

  2

1.194 (1.105-1.289)

< 0.001

  3

1.21 (1.121-1.306)

< 0.001

  4

1.115 (1.034-1.203)

0.0048

  5 (Highest Marginalization)

0.873 (0.809-0.943)

< 0.001

  Missing

0.98 (0.738-1.301)

0.8878

 Age and Labour Force (Reference 1 Lowest Marginalization)

  2

1.078 (1.002-1.161)

0.0449

  3

1.112 (1.032-1.199)

0.0053

  4

1.107 (1.027-1.193)

0.0076

  5 (Highest Marginalization)

1.292 (1.206-1.384)

< 0.001

  Missing

1.03 (0.777-1.365)

0.8378

 Households and Dwellings (Reference 1 Lowest Marginalization)

  2

1.136 (1.052-1.227)

0.0011

  3

1.13 (1.047-1.22)

0.0018

  4

1.188 (1.102-1.281)

< 0.001

  5 (Highest Marginalization)

1.31 (1.22-1.406)

< 0.001

  Missing

1.067 (0.804-1.415)

0.6535