Figures & data
Figure 1. (A) Conceptual model and (B) statistical model. X is the predictor, Mod is the moderator, X*Mod is the interaction, and the two outcomes are Days>0, which represents whether there is sickness absence, and NDays, which represents number of days in case of sickness absence. Coefficients b, m, c, and i represent the direct effects of X, the moderation of the direct effects, the direct effects of Mod, and the effect of the interaction on the outcomes, respectively. Indices 1 and 2 refer to the outcomes sickness absence or not and number of days in case of sickness absence, respectively. The moderations m1 and m2 in the conceptual model are tested by i1 and i2 in the statistical model
![Figure 1. (A) Conceptual model and (B) statistical model. X is the predictor, Mod is the moderator, X*Mod is the interaction, and the two outcomes are Days>0, which represents whether there is sickness absence, and NDays, which represents number of days in case of sickness absence. Coefficients b, m, c, and i represent the direct effects of X, the moderation of the direct effects, the direct effects of Mod, and the effect of the interaction on the outcomes, respectively. Indices 1 and 2 refer to the outcomes sickness absence or not and number of days in case of sickness absence, respectively. The moderations m1 and m2 in the conceptual model are tested by i1 and i2 in the statistical model](/cms/asset/8ff19bf3-fde7-4efd-ab4e-5aab69e194fd/irhe_a_1870712_f0001_b.gif)
Table 1. Characteristics of patients
Table 2. First year’s associations between disease-related variables and sickness absence, both as ‘yes’ vs ‘no’ and in case of sickness absence as number of days
Table 3. Second year’s associations between disease-related variables and sickness absence, both as ‘yes’ vs ‘no’ and in case of sickness absence as number of days