Table 3.

Multiple regression analysis for demographic, shift and occupational type variables related to shift work intolerance symptoms in the whole sample (n = 594–688)

	Anxiety				Depression
	Beta	SE	96% CI B	P	Beta	SE	96% CI B	P
Sex	0.11*	0.35	[0.289,1.660]	0.005	−0.07	0.31	[−1.129,0.095]	0.098
Age	−0.15**	0.03	[−0.084, −0.026]	< 0.001	−0.07	0.01	[−0.050,0.003]	0.077
Work experience	0.00	0.04	[−0.070,0.078]	0.919	−0.03	0.03	[−0.080,0.052]	0.682
Day or shift work	0.01	0.33	[−0.574,0.723]	0.821	0.05	0.30	[−0.186, 971]	0.184
Retail or police	−0.28**	0.35	[−2.984, 1.622]	< 0.001	−0.32**	0.31	[−2.939−1.723]	< 0.001

	Sleepiness				Insomnia
	Beta	SE	96% CI B	P	Beta	SE	96% CI B	P
Sex	0.12*	0.07	[0.063,0.323]	0.004	0.17**	0.82	[−1.869, 5.102]	< 0.001
Age	−0.18**	0.00	[−0.018, −0.007]	< 0.001	−0.08	0.04	[−0.136−0.005]	0.068
Work experience	0.01	0.02	[−0.012,0.016]	0.787	−0.03	0.09	[−0.225,0.119]	0.546
Day or shift work	0.08*	0.06	[0.011,0.260]	0.033	0.10*	0.78	[0.397, 3.488}	0.014
Retail or police	−0.01	0.07	[−0.148,0.113]	0.789	−0.12*	0.82	[−4.015, −0.779]	0.004

	Exhaustion
	Beta	SE	96% CI B	P
Sex	0.10*	0.22	[0.026, 281]	0.018
Age	−0.11*	0.07	[−0.013, −0.002]	0.011
Work experience	0.00	0.00	[−0.013,0.014]	0.955
Day or shift work	−0.01	0.02	[−0.148,0.102]	0.718
Retail or police	−0.34**	0.06	[−0.677, −0.415]	< 0.001

Men = 0; Women = 1; day workers = 1, shift workers (evening or rotating) = 2; retail workers = 1, police employees = 2.

*P < 0.05; **P < 0.001.