Table 8.

Association between stress at work and sickness days

	Job starters (18–29)			Early midlife (30–45)			Late midlife (46–57)			Older working life (58–65)			All age groups
	b	[95% CI]	p	b	[95% CI]	p	b	[95% CI]	p	b	[95% CI]	p	b	[95% CI]	p
Women
High effort
Model 1	0.07	[− 0.17, 0.31]	0.581	0.20	[0.04, 0.36]	0.012	0.31	[0.14, 0.48]	< 0.001	0.34	[− 0.05, 0.72]	0.084	0.22	[0.12, 0.32]	< 0.001
Model 2	0.04	[− 0.21, 0.28]	0.765	0.22	[0.06, 0.37]	0.007	0.34	[0.17, 0.50]	< 0.001	0.40	[0.02, 0.79]	0.042	0.23	[0.13, 0.33]	< 0.001
Model 3	− 0.06	[− 0.31, 0.18]	0.617	0.13	[− 0.02, 0.29]	0.092	0.21	[0.05, 0.37]	0.013	0.30	[− 0.07, 0.66]	0.110	0.13	[0.035, 0.23]	0.008
Low reward
Model 1	0.28	[0.06, 0.50]	0.011	0.35	[0.20, 0.49]	< 0.001	0.38	[0.22, 0.53]	< 0.001	0.16	[− 0.22, 0.54]	0.397	0.34	[0.24, 0.43]	< 0.001
Model 2	0.27	[0.05, 0.49]	0.016	0.34	[0.20, 0.49]	< 0.001	0.37	[0.22, 0.53]	< 0.001	0.25	[− 0.13, 0.64]	0.192	0.33	[0.24, 0.42]	< 0.001
Model 3	0.18	[− 0.04, 0.40]	0.100	0.27	[0.13, 0.41]	< 0.001	0.26	[0.11, 0.42]	0.001	0.051	[− 0.31, 0.41]	0.786	0.23	[0.14, 0.33]	< 0.001
ER ratio > 1
Model 1	− 0.06	[− 0.38, 0.27]	0.738	0.31	[0.11, 0.50]	0.002	0.41	[0.21, 0.61]	< 0.001	0.54	[0.06, 1.02]	0.028	0.32	[0.19, 0.44]	< 0.001
Model 2	− 0.09	[− 0.42, 0.23]	0.571	0.31	[0.12, 0.50]	0.001	0.42	[0.22, 0.62]	< 0.001	0.64	[0.16, 1.13]	0.010	0.32	[0.20, 0.44]	< 0.001
Model 3	− 0.26	[− 0.58, 0.06]	0.117	0.18	[− 0.01, 0.37]	0.061	0.27	[0.07, 0.47]	0.007	0.39	[− 0.08, 0.85]	0.104	0.18	[0.06, 0.30]	0.003
Men
High effort
Model 1	− 0.22	[− 0.47, 0.02]	0.068	− 0.00	[− 0.11, 0.10]	0.934	0.08	[− 0.04, 0.20]	0.192	0.17	[− 0.09, 0.43]	0.187	0.03	[− 0.05, 0.10]	0.500
Model 2	− 0.24	[− 0.48, 0.01]	0.056	0.03	[− 0.07, 0.14]	0.546	0.10	[− 0.02, 0.23]	0.090	0.24	[− 0.01, 0.50]	0.064	0.06	[− 0.02, 0.13]	0.121
Model 3	− 0.28	[− 0.52, − 0.03]	0.026	− 0.02	[− 0.12, 0.08]	0.691	0.01	[− 0.11, 0.13]	0.889	0.16	[− 0.10, 0.41]	0.227	− 0.01	[− 0.08, 0.06]	0.755
Low reward
Model 1	0.13	[− 0.10, 0.35]	0.265	0.32	[0.22, 0.41]	< 0.001	0.30	[0.18, 0.41]	< 0.001	0.28	[0.04, 0.52]	0.021	0.29	[0.22, 0.36]	< 0.001
Model 2	0.12	[− 0.10, 0.35]	0.279	0.29	[0.19, 0.39]	< 0.001	0.28	[0.17, 0.39]	< 0.001	0.23	[− 0.00, 0.47]	0.053	0.27	[0.20, 0.34]	< 0.001
Model 3	0.08	[− 0.15, 0.31]	0.505	0.23	[0.13, 0.32]	< 0.001	0.20	[0.09, 0.31]	0.001	0.11	[− 0.12, 0.35]	0.348	0.19	[0.13, 0.26]	< 0.001
ER ratio > 1
Model 1	− 0.08	[− 0.45, 0.29]	0.661	0.31	[0.18, 0.44]	< 0.001	0.24	[0.09, 0.40]	0.002	0.48	[0.11, 0.84]	0.010	0.27	[0.18, 0.37]	< 0.001
Model 2	− 0.09	[− 0.46, 0.28]	0.636	0.30	[0.17, 0.44]	< 0.001	0.24	[0.09, 0.39]	0.002	0.47	[0.12, 0.83]	0.009	0.27	[0.18, 0.37]	< 0.001
Model 3	− 0.18	[− 0.55, 0.20]	0.355	0.22	[0.09, 0.35]	0.001	0.13	[− 0.02, 0.29]	0.079	0.35	[− 0.00, 0.70]	0.052	0.18	[0.09, 0.27]	< 0.001

Results of multivariable linear regression analyses predicting log transformed sickness absence [log (sickness absence + 1): regression coefficients (b), 95% confidence intervals [95% CI] and p values (p)]

All estimations are based on random effect models accounting for year of data collection. Model 1 is adjusted for partnership- years in current job and number of children living in the household (and age in case of all age groups). Model 2 is additionally adjusted for occupational position, education and income. Model 3 additionally includes self-rated health