Skip to main content

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