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Table 3 Multivariate analysis of determinants of tobacco use

From: Prevalence and correlates of tobacco use amongst junior collegiates in twin cities of western Nepal: A cross-sectional, questionnaire-based survey

Variable

Number

Adjusted OR

95% C I

p-value

Age (Mean, SD)

178, 1.7

1.13

1.04, 1.22

0.004

Gender

Female

587

1

  

Male

974

7.03

4.03, 12.28

<0.001

Religion

Others

206

1

  

Hindu

1355

1.42

0.86, 2.35

0.162

Currently residence

Hostel/rented room

679

1

  

With parents

882

0.98

0.71, 1.36

0.93

Household asset score

Low

1065

1

  

Medium

394

1.71

0.95, 3.07

0.72

High

102

1.52

1.06, 2.12

0.03

Are Tobacco products available at any place and anytime?

No/don't know

679

1

  

Yes

882

0.86

0.62, 1.21

0.38

Is the use of tobacco products banned in your college premises?

No/don't know

624

1

  

Yes

937

1.1

0.79, 1.53

0.59

Do you think that your teachers smoke or chew tobacco?

No/don't know

499

1

  

Yes

1109

1.93

1.38, 2.71

<0.001

Do your close friends smoke or chew tobacco?

No/don't know

871

1

  

Yes

690

1.69

1.20, 2.38

0.003

Number family members who use tobacco

 

1.40

1.12, 1.76

0.003

Have you ever or currently buy tobacco products for your members?

No

1109

1

  

Yes

452

1.78

1.28, 2.48

0.001

Knowledge score (harms of tobacco use)

 

0.75

0.68, 0.83

<0.001

In your opinion do tobacco-related advertisements influence tobacco consumption?

No/don't know

610

1

  

Yes

951

0.81

0.58, 1.13

0.214

  1. Only 1561 cases were included in the final logistic regression due to missing data for some variables.