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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

     
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International Journal of Health Geographics

ISSN: 1476-072X