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Table 4 Multivariate Logistic Regression Model for Hypertension, Diabetes and CVDs by Sample Characteristics. All variables are adjusted (i.e., all variables are in one model)

From: Prevalence of non-communicable diseases and associated medication use among Syrian refugees in Lebanon: an analysis of country-wide data from the Sijilli electronic health records database

 

Hypertension

Diabetes

CVDs

OR

95% CI

 

p-value

OR

95% CI

 

p-value

OR

95% CI

 

p- value

Gender

            

Male

1.00

 

1.00

 

1.00

 

Female

1.55

1.03

2.33

.034

1.00

0.62

1.60

0.998

0.62

0.38

1.00

0.050

Age groups (years)

            

18–39

1.00

 

1.00

 

1.00

 

40–59

6.79

4.41

10.47

 < .001

8.32

4.60

15.02

 < .001

4.52

2.60

7.88

 < .001

60 + 

30.33

18.10

50.83

 < .001

22.59

11.61

43.95

 < .001

11.61

6.11

22.07

 < .001

Smoking status

            

Never smoker

1.00

 

1.00

 

1.00

 

Current smoker

0.99

0.67

1.47

0.968

0.89

0.55

1.43

0.625

0.84

0.50

1.41

0.510

Former smoker

2.02

0.95

4.30

0.070

1.05

0.41

2.73

0.916

2.30

0.99

5.32

0.052

Alcohol intake

            

Never drinker

1.00

 

1.00

 

1.00

 

Current drinker

0.90

0.04

18.59

0.946

*

*

*

 

*

*

*

 

Former drinker

6.42

0.68

60.87

0.105

2.90

0.23

37.29

0.414

3.47

0.29

41.35

0.324

Length of stay in Lebanon (years)

1.070

1.00

1.14

.037

1.09

0.99

1.18

0.068

1.05

0.96

1.15

0.258

Year moved to Lebanon

            

 < 2011

1.00

 

1.00

 

1.00

 

 ≥ 2011

3.715

1.11

12.34

.032

11.54

1.18

112.59

.035

3.200

.611

16.755

.168

  1. *Cell numbers too few to produce estimate