Table 2.

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

	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

* 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