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. 2008 Jul;17(6):971–978. doi: 10.1089/jwh.2007.0621

Table 5.

Multivariate Analysis of Smoking Maintenancea

 
 Linear regression
  
  
 
  
  
 Smoking triggers
 Logistic regression
 
 Quantity of cigarettes smoked
 Social participation
 Emotions
 Time to first cigarette smoked on awakening
  Estimate p value Estimate p value Estimate p value Odds ratio 95% CI
Final model −6.5141 <0.0001 −0.4436 0.0221 2.0586 <0.0001 0.552 0.322, 0.944
a

Independent variables.

Model 1: Gender.

Model 2: Gender, education, occupation, marital, income.

  • Model 3: Quantity of cigarettes smoked: gender, education, occupation, marital, income, time to first cigarette smoked on awaking.
  • Time to first cigarette smoked on awaking: gender, education, occupation, marital, income, quantity of cigarettes smoked.
  • Smoking triggers: gender, education, occupation, marital, income, quantity of cigarettes smoked.
  • Model 4: Quantity of cigarettes smoked: gender, education, occupation, marital, income, smoking triggers.
  • Time to first cigarette smoked on awaking: gender, education, occupation, marital, income, smoking triggers.
  • Smoking triggers: gender, education, occupation, marital, income, time to first cigarette smoked on awaking.
  • Final model (Model 5): Quantity of cigarettes smoked: gender, education, occupation, marital, income, time to first cigarette smoked on awaking, smoking triggers.
  • Time to first cigarette smoked on awaking: gender, education, occupation, marital, income, quantity of cigarettes smoked, smoking triggers.
  • Smoking triggers: gender, education, occupation, marital, income, quantity of cigarettes smoked, time to first cigarette smoked on awaking.