Skip to main content

Table 6 Logistic regression model of independent variables associated with COVID-19 mortality

From: Five consecutive epidemiological waves of COVID-19: a population-based cross-sectional study on characteristics, policies, and health outcome

Variables

aOR

95% confidence interval

P value

Lower

Upper

Age (years)

    

 18–24

1

   

 25–34

0.91

0.758

1.106

0.36

 35–44

1.61

1.353

1.922

 < 0.001

 45–54

3.03

2.556

3.605

 < 0.001

 55–64

5.44

4.594

6.455

 < 0.001

 65 + 

13.09

11.065

15.497

 < 0.001

Sex

    

 Women

1

   

 Men

1.29

1.263

1.332

 < 0.001

Positive history of smoking

0.81

0.727

0.914

 < 0.001

Positive history of opioids

1.25

1.095

1.442

 < 0.001

Underlying disease

    

 Diabetes

1.15

1.110

1.200

 < 0.001

 Hypertension

1.07

1.033

1.114

 < 0.001

 Cardiovascular diseases

1.15

1.113

1.203

 < 0.001

 Cancer

2.27

2.100

2.457

 < 0.001

 Asthma

0.89

0.792

1.010

0.72

 Chronic liver diseases

1.81

1.549

2.116

 < 0.001

 Chronic kidney diseases

2.08

1.929

2.243

 < 0.001

 Chronic neurological diseases

1.74

1.553

1.963

 < 0.001

 Chronic immune deficiency diseases

1.38

1.087

1.766

0.003

 Chronic hematological diseases

1.41

1.182

1.684

 < 0.001

Waves

    

 Wave 1

1

   

 Wave 2

1.16

1.104

1.238

 < 0.001

 Wave 3

1.34

1.287

1.395

 < 0.001

 Wave 4

0.648

0.621

0.677

 < 0.001

 Wave 5

0.389

0.372

0.406

 < 0.001

Constant

0.01

  

 < 0.001