Table 2.

Generalised linear regression models. Dependent variables: physical and mental work ability, WAI-P and WAI-M, respectively. Regression coefficients and 95% confidence intervals in brackets. $N_{\mathit{obs}}$: number of observations, $N_{\mathit{ind}}$: number of individuals

	Model 1		Model 2		Model 3
Variable	WAI-P	WAI-M	WAI-P	WAI-M	WAI-P	WAI-M
Intercept	3.53 [3.20; 3.86]	2.97 [2.64; 3.30]	5.02 [4.61; 5.42]	4.86 [4.46; 5.26]	4.98 [4.53; 5.43]	4.67 [4.23; 5.12]
Age	-0.07 [-0.11; -0.04]	-0.01 [-0.05; 0.02]	-0.07 [-0.11; -0.04]	-0.01 [-0.05; 0.02]	-0.07 [-0.11; -0.04]	-0.01 [-0.05; 0.02]
Female (Ref. Male)	-0.22 [-0.43; -0.02]	-0.25 [-0.46; -0.05]	-0.07 [-0.25; 0.12]	-0.05 [-0.23; 0.14]	-0.06 [-0.24; 0.13]	-0.05 [-0.23; 0.13]
Intervention (Ref. control)	-0.07 [-0.24; 0.09]	-0.05 [-0.22; 0.11]	-0.08 [-0.23; 0.06]	-0.08 [-0.22; 0.07]	0.05 [-0.60; 0.70]	0.53 [-0.11; 1.17]
Intervention x efforts					-0.11 [-0.35; 0.13]	-0.13 [-0.36; 0.11]
Intervention x low rewards					-0.12 [-0.37; 0.14]	-0.08 [-0.33; 0.17]
Intervention x overcommitment					0.14 [-0.11; 0.38]	-0.06 [-0.30; 0.18]
Efforts			-0.30 [-0.41; -0.18]	-0.19 [-0.31; -0.08]	-0.26 [-0.40; -0.11]	-0.14 [-0.29; -0.00]
Low rewards			-0.25 [-0.37; -0.12]	-0.27 [-0.39; -0.15]	-0.20 [-0.36; -0.04]	-0.25 [-0.40; -0.09]
Overcommitment			-0.16 [-0.28; -0.04]	-0.41 [-0.53; -0.30]	-0.22 [-0.36; -0.07]	-0.40 [-0.54; -0.25]
Not transferred (Ref. transferred)	0.21 [0.03; 0.39]	0.35 [0.17; 0.54]	0.20 [0.02; 0.38]	0.35 [0.17; 0.52]	0.20 [0.02; 0.37]	0.34 [0.17; 0.52]
No information on ward transfer	-0.06 [-0.37; 0.25]	0.13 [-0.18; 0.45]	-0.01 [-0.33; 0.30]	0.17 [-0.14; 0.48]	-0.02 [-0.33; 0.30]	0.17 [-0.14; 0.48]
$N_{\mathit{obs}}$	916	915	869	870	869	870
$N_{\mathit{ind}}$	385	385	377	378	377	378