140 Chapter 7 working at baseline, and combined all other ICD-10 chapters (with n<25 in either the subsample working or not working at baseline) to the group ‘all other diseases’ (e.g. infectious and parasitic diseases, diseases of the skin, diseases related to pregnancy, childbirth and the puerperium, congenital malformations, factors influencing health status). Multimorbidity was defined as having one or more additional diagnoses from a different ICD10 chapter than the primary diagnosis. Statistical methods First, descriptive statistics were used to describe the baseline characteristics for the total sample, and separately for applicants working and not working at baseline. Baseline characteristics were compared using Chi2-tests. To give insight into paid employment and inability to work fulltime for each disease group, frequencies and percentages of 1) having paid employment at baseline (total group), 2) having paid employment one year after the disability assessment and 3) being assessed with inability to work fulltime (separately for applicants working and not working at baseline), are displayed per disease group. Second, univariable and multivariable logistic regression analyses were performed to study the association of being assessed with an inability to work fulltime and having paid employment one year after the assessment. The univariable logistic regression analyses concerns the crude model. The multivariable logistic regression analyses were conducted in three steps to gain insight into the effect of socio-demographic and disease-related factors on the association of inability to work fulltime on having paid employment. Model 1 was adjusted for work life stage, gender, educational level, and contract hours at date of sick leave. Model 2 was additionally adjusted for disease groups, and Model 3 was additionally adjusted for multimorbidity. Third, to examine if the associations of being assessed with inability to work fulltime and having paid employment one year after assessment were moderated by socio-demographic and disease-related factors, interaction terms were added to the final model (Model 3). The interaction effects of work life stage, gender, educational level, contract hours at date of sick leave, primary diagnosis (14 categories and ‘all other diseases’) and multimorbidity were all analysed separately. For primary diagnosis, disease group neoplasms was considered the reference group. In case of a significant interaction concerning a variable with more than two categories, analyses were stratified by the moderator under investigation, adjusting for all other factors. For the interaction analyses, a two-sided p-value of <.10 was considered to indicate statistical significance, for all other analyses a p-value of <.05 was considered to indicate statistical significance. IBM SPSS Statistics version 28 was used to perform the analyses.
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