115 Residual work capacity and (in)ability to work fulltime among applicants with mental disorders Statistical Methods First, descriptive statistics were used to gain insight in the number of applicants with a primary diagnosis concerning a mental and behavioural disorder and with or without residual work capacity. Differences between applicants with and without residual work capacity were compared using t-tests for continuous data and Chi2-tests for categorical and ordinal data. Only specific and defined mental and behavioural disorder diagnosis groups including more than 40 applicants were included in the analyses, resulting in deleting applicants with unspecified behavioural problems, emotional sleeping disorders and unspecified mental and behavioural disorders. Second, within the group of applicants with residual work capacity and complete data on all variables, the prevalence and degree of inability to work fulltime was studied for the total group and for each specific mental health diagnosis group. Third, univariable and multivariable logistic regression analyses were performed to study the association of each socio-demographic variable (age, gender) and disease related variable (multimorbidity) with no residual work capacity (no/yes). Fourth, univariable and multivariable logistic regression analyses (adjusted for age, gender, multimorbidity, for the analyses on residual work capacity, educational level was added for the analyses on inability to work fulltime) were performed to study the association of the specific mental and behavioural disorder diagnosis groups with no residual work capacity and inability to work fulltime. Fifth, multivariable logistic regression analyses were performed, stratified to the mental and behavioural disorder diagnosis groups, to study the association of each socio-demographic variable (age, gender for no residual work capacity and additionally educational level for inability to work fulltime) and disease-related variable (multimorbidity) with no residual work capacity and inability to work fulltime within the specific mental health diagnosis groups. Analyses were performed using IBM SPSS Statistics version 25. For all analyses a p-level of<0.05 was considered to indicate statistical significance. RESULTS Data from 40,263 applicants for a WIA benefit in 2016 (mean age 48.7 (±11.0) years; 53.6% women) were used. Of these, 12,901 (32.0%) had a mental or behavioural disorder as the primary diagnosis (mean age 44.4 (±11.0) years; 55.4% women). After removal of applicants with unspecified mental disorders and diagnoses groups with 40 or less applicants, the dataset included 12,325 disability benefit applicants with a mental or behavioural disorder (Fig. 1). 6
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