Table 3

The results of logistic regression *

Independent

Variables

Smoking


p

Odds Ratio

Confidence Interval (95%)


Gender

Women

1

1

Men

<0.001

6.76

5.63–8.12

Age

15–19

1

1

20–24

<0.001

2.86

2.19–3.74

25–29

<0.001

2.89

2.18–3.83

30–34

<0.001

3.48

2.56–4.74

35–39

<0.001

3.78

2.82–5.08

40–44

<0.001

3.12

2.22–4.38

45–49

<0.001

2.81

1.96–4.02

50+

<0.001

2.06

1.56–2.73

Type of residence

Rural

1

1

Urban

<0.001

1.74

1.48–2.04

Education

Illiteracy

1

1

Literacy

<0.05

1.35

1.01–1.80

Graduated from primary school

<0.01

1.43

1.14–1.79

Graduated from secondary school

<0.001

1.76

1.26–2.46

Graduated from high school and higher

<0.001

1.64

1.22–2.20

Employment

Unemployed

1

1

Employed

>0.05

1.14

0.93–1.40

Ethnicity

Arabic + Zaza

1

1

Turkish

>0.05

1.04

0.77–1.41

Kurdish

>0.05

1.15

0.86–1.53

Marital status

Single

1

1

Married + widowed/divorced

>0.05

1.30

0.99–1.71


*Gender, age, education, ethnicity, type of residence, marital and employment status were included in logistic regression analysis as covariates.

Bozkurt et al. BMC Public Health 2006 6:15   doi:10.1186/1471-2458-6-15

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