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. 2015 Jan 19;12(1):895–909. doi: 10.3390/ijerph120100895

Table 7.

Logistic regression model for identifying factors that affect smoking (N = 389).

Variable OR (95%CI) p-Value
Demographic data
Sex
Female 1 <0.0001
Male 10.837 (3.414, 34.400)
Living cost
<¥600 1 -- --
¥600–¥800 0.185 (0.060, 0.572) 0.0034
>¥800 0.828 (0.293, 2.335) 0.7209
Smoking-related attitude
Smoking is pleasurable
Disagree 1 -- --
Neutral 7.954 (1.698, 37.257) 0.0085
Agree 2.819 (0.609, 13.044) 0.1848
Smoking relaxes me
Disagree 1 -- --
Neutral 7.038 (1.987, 24.928) 0.0025
Agree 1.080 (0.358, 3.256) 0.8911
Smoking makes me look strong
Disagree 1 -- --
Neutral 2.198 (0.487, 9.916) 0.3057
Agree 19.857 (2.066, 190.878) 0.0096
Smoking is a waste of money
Agree 1 -- --
Neutral 5.488 (1.513, 19.905) 0.0096
Disagree 10.171 (3.341, 30.960) <0.0001
Smoking can help me study better
Disagree 1 -- --
Neutral 0.171 (0.035, 0.840) 0.0296
Agree 3.305 (0.978, 11.164) 0.0542
Social pressure
Smoking brings comfort during celebration
Absolutely agree 1 -- --
Agree 1.645 (0.460, 5.882) 0.4437
Neutral 0.356 (0.104, 1.221) 0.1006
Disagree 0.343 (0.094, 1.245) 0.1037
Absolutely disagree 0.033 (0.001, 0.918) 0.0444
Environmental constraints
How did you get your cigarettes in the past 30 days?
Brought cigarettes 1 -- --
Did not buy any cigarette 0.059 (0.024, 0.145) <0.0001

Note: Abbreviation: CI confidence intervals, OR odds ratio.