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. 2016 Jan 26;13(2):161. doi: 10.3390/ijerph13020161

Table 3.

Logistic regression model to identify predictors of having a complete home smoking ban.

Variables Adjusted OR 95% CI
Income per month
 Below 3000CNY 1.000 Reference
 3000–6000CNY 0.867 0.485, 1.547
 Above 6000CNY 1.453 0.816, 2.584
Education
 Below high school 1.000 Reference
 High school graduate 2.471 1.374, 4.445
 College or above 1.125 0.646, 1.960
Smoking behavior
 Smoker 0.896 0.391, 2.053
 Non-smoker 1.000 Reference
Other smokers at home
 None 2.173 1.405, 3.361
 More than 1 1.000 Reference
Paternal smoking increases the risk of lower respiratory tract illnesses such as pneumonia in exposed children
 Strongly agree/Agree 2.755 1.149, 6.607
 Disagree/Strongly disagree 1.000 Reference
How concerned are you that smoking cigarettes in the presence of your child will hurt your child’s health?
 Very concerned/Concerned 1.547 1.250, 3.495
 Unsure/A little concerned/Not at all concerned 1.000 Reference
How important is it for you to adopt a no smoking policy at home
 Very important/Important 2.816 1.316, 6.025
 Unsure/A little important/Not at all important 1.000 Reference
How much difficulty do you think you’ll have adopting a no smoking policy at your home
 Very difficult/Difficult 0.523 0.316, 0.863
 Unsure/A little difficult /Not at all difficult 1.000 Reference
How confident are you that you would not allow others to smoke at your home
 Very confident/Confident 1.950 1.260, 3.016
 Unsure/A little confident/Not at all confident 1.000 Reference