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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.