The relevance of socio-demographic and occupational variables for the assessment of work-related stress risk

BMC Public Health

Table 4 Analysis of the effect of interaction between some workers’ characteristics (multiple mixed effects model)

	Demands		Control		Managerial support		Peer support		Relationships		Role		Change
Interactive effects	β*	p	β*	p	β*	p	β*	p	β*	p	β*	p	β*	p
Among part-time
Women vs men		ns	-0.18	0.029		ns		ns		ns		ns		ns
Among full-time
Women vs men	-0.05	0.031	-0.07	0.016		ns	-0.10	<0.001	-0.15	<0.001		ns	-0.08	0.013
Among aged above 50 years
Night vs day workers		ns	-0.45	<0.001		ns		ns	-0.17	0.011		ns	-0.18	0.026
Shift vs day workers	-0.11	0.036	-0.48	<0.001	-0.23	0.001	-0.15	0.019	-0.21	0.001		ns	-0.28	<0.001
Among aged 31–50 years
Night vs day workers		ns	-0.41	<0.001		ns	-0.11	0.020	-0.13	0.003		ns	-0.13	0.014
Shift vs day workers		ns	-0.15	<0.001		ns		ns		ns	0.10	0.003		ns
Among aged 18–30 years
Night vs day workers	-0.20	0.005		ns		ns		ns	-0.27	0.002		ns		ns
Shift vs day workers		ns		ns		ns		ns		ns		ns		ns
Among blue-collars
Master degree vs elementary/middle	-0.10	0.050	0.21	0.001		ns		ns		ns	-0.10	0.035		ns
High school vs elementary/middle		ns	0.08	0.036	-0.11	0.004		ns		ns		ns		ns
Among clerks
Master degree vs elementary/middle	-0.15	0.008	0.31	<0.001	0.16	0.024		ns	0.18	0.006		ns		ns
High school vs elementary/middle		ns	0.37	<0.001	0.14	0.036		ns	0.19	0.002		ns		ns
Among managers
Master degree vs elementary/middle		ns		ns		ns		ns		ns		ns		ns
High school vs elementary/middle		ns		ns		ns		ns		ns	0.33	0.002		ns

ISSN: 1471-2458