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Table 2 Summary of the binary logistic regression analysis relating to the category “daily smokers”

From: smokeSALUD: exploring the effect of demographic change on the smoking prevalence at municipality level in Austria

Constraint Sub-constraint Binary logistic
B Significance Expected (B) 95 % C.I. for EXP(B)
Lower Upper
Age 15 above −0.115 p < 0.001 0.892 0.876 0.907
Education University −1.011 p < 0.001 0.364 0.296 0.446
  With A-level −0.485 p < 0.001 0.616 0.548 0.691
  Without A-level      
Marital status Single      
  Married −0.135 p < 0.017 0.873 0.781 0.975
  Widowed −0.414 p < 0.001 0.661 0.521 0.837
  Divorced 0.894 p < 0.001 2.446 2.063 2.899
Sex Male      
  Female −0.309 p < 0.001 0.734 0.676 0.796
Occupational status Employees 0.606 p < 0.001 1.833 1.673 2.007
  Employer 0.188 p < 0.030 1.207 1.012 1.438
  Non-employed