Table 9 Multivariable logistic regression Analysis, factors influencing CAM use for influenza Management.

From: Exploring the use of complementary and alternative medicine for influenza management: a cross-sectional study from Palestine

Variable

OR (95% CI)

P-value

Age (years)

  

< 40

1

 

≥ 40

1.11 (0.31–3.96)

0.87

Gender

  

Female

1

 

Male

0.82 (0.41–1.68)

0.59

Education

  

Bachelor’s degree

1

 

Less than Bachelor’s degree

0.83 (0.43–1.62)

0.59

Postgraduate

0.63 (0.19–2.02)

0.45

Monthly income (JD)

  

> 1000

1

 

< 400

0.44 (0.18–1.07)

0.08

400–1000

1.33 (0.70–2.52)

0.38

Employment status

  

Employed

1

 

Unemployed

1.29 (0.41–4.01)

0.67

Student

0.76 (0.33–1.73)

0.52

Smoking status

  

Ex-smoker

1

 

Active smoker

0.42 (0.07–2.50)

0.34

Never smoke

0.31 (0.05–1.83)

0.18

Health status

  

Bad

1

 

Very good

3.78 (0.37–38.80)

0.27

Good

3.21 (0.26–39.30)

0.33

Medications used chronically

  

No

1

 

Yes

0.68 (0.21–2.20)

0.53

Exercise

  

No

1

 

Yes, twice weekly

1.01 (0.47–2.16)

0.97

Yes, three times or more

0.63 (0.24–1.65)

0.32

Flu symptoms

  

No

0.34 (0.10–1.11)

0.08

Once

0.53 (0.25–1.10)

0.08

Twice

0.94 (0.40–2.21)

0.88

More than 2

1

 

Treatment preference

  

Both

1

 

Pharmaceutical drug

0.35 (0.17–0.73)

0.01

CAM

1.32 (0.47–3.71)

0.59

Neither

0.19 (0.08–0.44)

< 0.001

Hospitalized for influenza

  

No

1

 

Yes

1.00 (0.24–4.14)

1.00

Flu vaccine this year

  

No

1

 

Yes

2.38 (0.73–7.75)

0.14