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Table 2 Multiple hierarchical regression analyses with BMI, AUDIT-C, and number of cigarettes daily as dependent variable

From: Associations between night work and BMI, alcohol, smoking, caffeine and exercise - a cross-sectional study

 

BMI (n = 1674)

AUDIT-C (n = 1622)

Number of cigarettes smoked daily (n = 184)

β

ΔR 2

β

ΔR 2

β

ΔR 2

Step 1

 

0.045*

 

0.063*

 

0.113*

Age

0.140*

 

−0.203*

 

0.288*

 

Gender (1 = females)

−0.153*

 

−0.158*

 

−0.157*

 

Step 2

 

0.0002

 

0.018*

 

0.016

Age

0.137*

 

−0.179*

 

0.246*

 

Gender

−0.154*

 

−0.141*

 

−0.152*

 

Average hours worked per week

−0.009

 

0.120*

 

0.002

 

Schedule with Night Work >5 years

0.009

 

−0.067*

 

0.134

 

Step 3

 

0.003

 

0.047*

 

0.010

Age

0.145*

 

−0.113*

 

0.267*

 

Gender

−0.147*

 

−0.132*

 

−0.157*

 

Average hours worked per week

−0.003

 

0.075*

 

−0.020

 

Schedule with Night Work >5 years

0.001

 

−0.052*

 

0.152*

 

Children living at Home no/yes

−0.009

 

−0.229*

 

−0.097

 

NNL

0.055*

 

0.032

 

- 0.057

 
  1. * Significant finding p < .05. β Beta coefficient, ΔR2 R square change, BMI body mass index, AUDIT C the AUDIT alcohol consumption questions, NNL number of night shifts worked last year