109 Personal recovery suits us all interpersonal behavior/interaction, prosocial activities, recreation, independenceperformance, independence-competence, and employment/occupation. The current study included two of the subscales, namely amount of interpersonal interaction and prosocial activities. Higher scores on the subscales indicate better social functioning. Studies show that the SFS is reliable, valid, sensitive and responsive to change (31). Satisfaction with care Only in patients, satisfaction with care was measured with the validated Dutch translation of the short version of the self-report Client Satisfaction Questionnaire (CSQ-8) (32, 33). The questionnaire consists of eight items scored on a scale from 1 (poor) to 4 (excellent) resulting in a total score between 8 and 32. Life events The number of “positive and negative life events” was measured using the interview for recent life events (IRLE; (34)) This questionnaire states 61 positive and negative life events in which the participant can indicate whether or not he or she has experienced it in the three years before the interview. Examples of life events are: death of a loved one, physical disease, marriage, birth of a child. For every experienced event the impact was rated on a 5-point Likert scale varying from 1 (very unpleasant) to 5 (very pleasant). Sum scores for negative events with an appraisal as (very) unpleasant (i.e. a score of 1 or 2) and positive events with an appraisal as (very) pleasant (i.e. a score of 4 or 5) were calculated. Statistical analysis Sociodemographic and outcome variables were compared between groups applying analysis of variance and chi-squared tests. To investigate which variables were individually associated with personal recovery, bi-variate associations between personal recovery and all individual variables were assessed across all groups using T-test, ANOVA or non-parametric correlations applying Bonferroni correction of α=.05/25 = .002 in the patient sample and α=.05/19 = .003 in siblings and healthy controls. Multiple linear regression analyses were then performed to estimate the proportion of variance in personal recovery that could be accounted for by relevant predictors and to investigate which predictors independently added to the model. Analyses were done per group separately to be able to compare findings between patients, siblings and healthy controls. Prior to analyses, assumptions of multivariate normality, homoscedasticity and no multicollinearity were investigated by q-q plots, scatterplots of the residuals and variance inflation factor, respectively. Data analysis was conducted with IBM SPSS Statistics 24. 6
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